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The Venous Thromboembolism Quality Improvement Resource Room
The goal of this article is to explain how the first in a series of online resource rooms provides trainees and hospitalists with quality improvement tools that can be applied locally to improve inpatient care.1 During the emergence and explosive growth of hospital medicine, the SHM recognized the need to revise training relating to inpatient care and hospital process design to meet the evolving expectation of hospitalists that their performance will be measured, to actively set quality parameters, and to lead multidisciplinary teams to improve hospital performance.2 Armed with the appropriate skill set, hospitalists would be uniquely situated to lead and manage improvements in processes in the hospitals in which they work.
The content of the first Society of Hospital Medicine (SHM) Quality Improvement Resource Room (QI RR) supports hospitalists leading a multidisciplinary team dedicated to improving inpatient outcomes by preventing hospital‐acquired venous thromboembolism (VTE), a common cause of morbidity and mortality in hospitalized patients.3 The SHM developed this educational resource in the context of numerous reports on the incidence of medical errors in US hospitals and calls for action to improve the quality of health care.'47 Hospital report cards on quality measures are now public record, and hospitals will require uniformity in practice among physicians. Hospitalists are increasingly expected to lead initiatives that will implement national standards in key practices such as VTE prophylaxis2.
The QI RRs of the SHM are a collection of electronic tools accessible through the SHM Web site. They are designed to enhance the readiness of hospitalists and members of the multidisciplinary inpatient team to redesign care at the institutional level. Although all performance improvement is ultimately occurs locally, many QI methods and tools transcend hospital geography and disease topic. Leveraging a Web‐based platform, the SHM QI RRs present hospitalists with a general approach to QI, enriched by customizable workbooks that can be downloaded to best meet user needs. This resource is an innovation in practice‐based learning, quality improvement, and systems‐based practice.
METHODS
Development of the first QI RR followed a series of steps described in Curriculum Development for Medical Education8 (for process and timeline, see Table 1). Inadequate VTE prophylaxis was identified as an ongoing widespread problem of health care underutilization despite randomized clinical trials supporting the efficacy of prophylaxis.9, 10 Mirroring the AHRQ's assessment of underutilization of VTE prophylaxis as the single most important safety priority,6 the first QI RR focused on VTE, with plans to cover additional clinical conditions over time. As experts in the care of inpatients, hospitalists should be able to take custody of predictable complications of serious illness, identify and lower barriers to prevention, critically review prophylaxis options, utilize hospital‐specific data, and devise strategies to bridge the gap between knowledge and practice. Already leaders of multidisciplinary care teams, hospitalists are primed to lead multidisciplinary improvement teams as well.
Phase 1 (January 2005April 2005): Executing the educational strategy |
---|
One‐hour conference calls |
Curricular, clinical, technical, and creative aspects of production |
Additional communication between members of working group between calls |
Development of questionnaire for SHM membership, board, education, and hospital quality patient safety (HQPS) committees |
Content freeze: fourth month of development |
Implementation of revisions prior to April 2005 SHM Annual Meeting |
Phase 2 (April 2005August 2005): revision based on feedback |
Analysis of formative evaluation from Phase 1 |
Launch of the VTE QI RR August 2005 |
Secondary phases and venues for implementation |
Workshops at hospital medicine educational events |
SHM Quality course |
Formal recognition of the learning, experience, or proficiency acquired by users |
The working editorial team for the first resource room |
Dedicated project manager (SHM staff) |
Senior adviser for planning and development (SHM staff) |
Senior adviser for education (SHM staff) |
Content expert |
Education editor |
Hospital quality editor |
Managing editor |
Available data on the demographics of hospitalists and feedback from the SHM membership, leadership, and committees indicated that most learners would have minimal previous exposure to QI concepts and only a few years of management experience. Any previous quality improvement initiatives would tend to have been isolated, experimental, or smaller in scale. The resource rooms are designed to facilitate quality improvement learning among hospitalists that is practice‐based and immediately relevant to patient care. Measurable improvement in particular care processes or outcomes should correlate with actual learning.
The educational strategy of the SHM was predicated on ensuring that a quality and patient safety curriculum would retain clinical applicability in the hospital setting. This approach, grounded in adult learning principles and common to medical education, teaches general principles by framing the learning experience as problem centered.11 Several domains were identified as universally important to any quality improvement effort: raising awareness of a local performance gap, applying the best current evidence to practice, tapping the experience of others leading QI efforts, and using measurements derived from rapid‐cycle tests of change. Such a template delineates the components of successful QI planning, implementation, and evaluation and provides users with a familiar RR format applicable to improving any care process, not just VTE.
The Internet was chosen as the mechanism for delivering training on the basis of previous surveys of the SHM membership in which members expressed a preference for electronic and Web‐based forms of educational content delivery. Drawing from the example of other organizations teaching quality improvement, including the Institute for Healthcare Improvement and Intermountain Health Care, the SHM valued the ubiquity of a Web‐based educational resource. To facilitate on‐the‐job training, the first SHM QI RR provides a comprehensive tool kit to guide hospitalists through the process of advocating, developing, implementing, and evaluating a QI initiative for VTE.
Prior to launching the resource room, formative input was collected from SHM leaders, a panel of education and QI experts, and attendees of the society's annual meetings. Such input followed each significant step in the development of the RR curricula. For example, visitors at a kiosk at the 2005 SHM annual meeting completed surveys as they navigated through the VTE QI RR. This focused feedback shaped prelaunch development. The ultimate performance evaluation and feedback for the QI RR curricula will be gauged by user reports of measurable improvement in specific hospital process or outcomes measures. The VTE QI RR was launched in August 2005 and promoted at the SHM Web site.
RESULTS
The content and layout of the VTE QI RR are depicted in Figure 1. The self‐directed learner may navigate through the entire resource room or just select areas for study. Those likely to visit only a single area are individuals looking for guidance to support discrete roles on the improvement team: champion, clinical leader, facilitator of the QI process, or educator of staff or patient audiences (see Figure 2).


Why Should You Act?
The visual center of the QI RR layout presents sobering statisticsalthough pulmonary embolism from deep vein thrombosis is the most common cause of preventable hospital death, most hospitalized medical patients at risk do not receive appropriate prophylaxisand then encourages hospitalist‐led action to reduce hospital‐acquired VTE. The role of the hospitalist is extracted from the competencies articulated in the Venous Thromboembolism, Quality Improvement, and Hospitalist as Teacher chapters of The Core Competencies in Hospital Medicine.2
Awareness
In the Awareness area of the VTE QI RR, materials to raise clinician, hospital staff, and patient awareness are suggested and made available. Through the SHM's lead sponsorship of the national DVT Awareness Month campaign, suggested Steps to Action depict exactly how a hospital medicine service can use the campaign's materials to raise institutional support for tackling this preventable problem.
Evidence
The Evidence section aggregates a list of the most pertinent VTE prophylaxis literature to help ground any QI effort firmly in the evidence base. Through an agreement with the American College of Physicians (ACP), VTE prophylaxis articles reviewed in the ACP Journal Club are presented here.12 Although the listed literature focuses on prophylaxis, plans are in place to include references on diagnosis and treatment.
Experience
Resource room visitors interested in tapping into the experience of hospitalists and other leaders of QI efforts can navigate directly to this area. Interactive resources here include downloadable and adaptable protocols for VTE prophylaxis and, most importantly, improvement stories profiling actual QI successes. The Experience section features comments from an author of a seminal trial that studied computer alerts for high‐risk patients not receiving prophylaxis.10 The educational goal of this section of the QI RR is to provide opportunities to learn from successful QI projects, from the composition of the improvement team to the relevant metrics, implementation plan, and next steps.
Ask the Expert
The most interactive part of the resource room, the Ask the Expert forum, provides a hybrid of experience and evidence. A visitor who posts a clinical or improvement question to this discussion community receives a multidisciplinary response. For each question posted, a hospitalist moderator collects and aggregates responses from a panel of VTE experts, QI experts, hospitalist teachers, and pharmacists. The online exchange permitted by this forum promotes wider debate and learning. The questions and responses are archived and thus are available for subsequent users to read.
Improve
This area features the focal point of the entire resource room, the VTE QI workbook, which was written and designed to provide action‐oriented learning in quality improvement. The workbook is a downloadable project outline to guide and document efforts aimed at reducing rates of hospital‐acquired VTE. Hospitalists who complete the workbook should have acquired familiarity with and a working proficiency in leading system‐level efforts to drive better patient care. Users new to the theory and practice of QI can also review key concepts from a slide presentation in this part of the resource room.
Educate
This content area profiles the hospital medicine core competencies that relate to VTE and QI while also offering teaching materials and advice for teachers of VTE or QI. Teaching resources for clinician educators include online CME and an up‐to‐date slide lecture about VTE prophylaxis. The lecture presentation can be downloaded and customized to serve the needs of the speaker and the audience, whether students, residents, or other hospital staff. Clinician educators can also share or review teaching pearls used by hospitalist colleagues who serve as ward attendings.
DISCUSSION
A case example, shown in Figure 3, demonstrates how content accessible through the SHM VTE QI RR may be used to catalyze a local quality improvement effort.

Hospitals will be measured on rates of VTE prophylaxis on medical and surgical services. Failure to standardize prophylaxis among different physician groups may adversely affect overall performance, with implications for both patient care and accreditation. The lack of a agreed‐on gold standard of what constitutes appropriate prophylaxis for a given patient does not absolve an institution of the duty to implement its own standards. The challenge of achieving local consensus on appropriate prophylaxis should not outweigh the urgency to address preventable in‐hospital deaths. In caring for increasing numbers of general medical and surgical patients, hospitalists are likely to be asked to develop and implement a protocol for VTE prophylaxis that can be used hospitalwide. In many instances hospitalists will accept this charge in the aftermath of previous hospital failures in which admission order sets or VTE assessment protocols were launched but never widely implemented. As the National Quality Forum or JCAHO regulations for uniformity among hospitals shift VTE prophylaxis from being voluntary to compulsory, hospitalists will need to develop improvement strategies that have greater reliability.
Hospitalists with no formal training in either vascular medicine or quality improvement may not be able to immediately cite the most current data about VTE prophylaxis rates and regimens and may not have the time to enroll in a training course on quality improvement. How would hospitalists determine baseline rates of appropriate VTE prophylaxis? How can medical education be used to build consensus and recruit support from other physicians? What should be the scope of the QI initiative, and what patient population should be targeted for intervention?
The goal of the SHM QI RR is to provide the tools and the framework to help hospitalists develop, implement, and manage a VTE prophylaxis quality improvement initiative. Suggested Steps to Action in the Awareness section depict exactly how a hospital medicine service can use the campaign's materials to raise institutional support for tackling this preventable problem. Hospital quality officers can direct the hospital's public relations department to the Awareness section for DVT Awareness Month materials, including public service announcements in audio, visual, and print formats. The hold music at the hospital can be temporarily replaced, television kiosks can be set up to run video loops, and banners can be printed and hung in central locations, all to get out the message simultaneously to patients and medical staff.
The Evidence section of the VTE QI RR references a key benchmark study, the DVT‐Free Prospective Registry.9 This study reported that at 183 sites in North America and Europe, more than twice as many medical patients as surgical patients failed to receive prophylaxis. The Evidence section includes the 7th American College of Chest Physicians Consensus Conference on Antithrombotic and Thrombolytic Therapy and also highlights 3 randomized placebo‐controlled clinical trials (MEDENOX 1999, ARTEMIS 2003, and PREVENT 2004) that have reported significant reduction of risk of VTE (50%‐60%) from pharmacologic prophylaxis in moderate‐risk medical inpatients.1315 Review of the data helps to determine which patient population to study first, which prophylaxis options a hospital could deploy appropriately, and the expected magnitude of the effect. Because the literature has already been narrowed and is kept current, hospitalists can save time in answering a range of questions, from the most commonly agreed‐on factors to stratify risk to which populations require alternative interventions.
The Experience section references the first clinical trial demonstrating improved patient outcomes from a quality improvement initiative aimed at improving utilization of VTE prophylaxis.10 At the large teaching hospital where the electronic alerts were studied, a preexisting wealth of educational information on the hospital Web site, in the form of multiple seminars and lectures on VTE prophylaxis by opinion leaders and international experts, had little impact on practice. For this reason, the investigators implemented a trial of how to change physician behavior by introducing a point‐of‐care intervention, the computer alerts. Clinicians prompted by an electronic alert to consider DVT prophylaxis for at‐risk patients employed nearly double the rate of pharmacologic prophylaxis and reduced the incidence of DVT or pulmonary embolism (PE) by 41%. This study suggests that a change introduced to the clinical workflow can improve evidence‐based VTE prophylaxis and also can reduce the incidence of VTE in acutely ill hospitalized patients.
We believe that if hospitalists use the current evidence and experience assembled in the VTE QI RR, they could develop and lead a systematic approach to improving utilization of VTE prophylaxis. Although there is no gold standard method for integrating VTE risk assessment into clinical workflow, the VTE QI RR presents key lessons both from the literature and real world experiences. The crucial take‐home message is that hospitalists can facilitate implementation of VTE risk assessments if they stress simplicity (ie, the sick, old, surgery benefit), link the risk assessment to a menu of evidence‐based prophylaxis options, and require assessment of VTE risk as part of a regular routine (on admission and at regular intervals). Although many hospitals do not yet have computerized entry of physician orders, the simple 4‐point VTE risk assessment described by Kucher et al might be applied to other hospitals.10 The 4‐point system would identify the patients at highest risk, a reasonable starting point for a QI initiative. Whatever the modelCPOE alerts of very high‐risk patients, CPOE‐forced VTE risk assessments, nursing assessments, or paper‐based order setsregular VTE risk assessment can be incorporated into the daily routine of hospital care.
The QI workbook sequences the steps of a multidisciplinary improvement team and prompts users to set specific goals, collect practical metrics, and conduct plan‐do‐study‐act (PDSA) cycles of learning and action (Figure 4). Hospitalists and other team members can use the information in the workbook to estimate the prevalence of use of the appropriate VTE prophylaxis and the incidence of hospital‐acquired VTE at their medical centers, develop a suitable VTE risk assessment model, and plan interventions. Starting with all patients admitted to one nurse on one unit, then expanding to an entire nursing unit, an improvement team could implement rapid PDSA cycles to iron out the wrinkles of a risk assessment protocol. After demonstrating a measurable benefit for the patients at highest risk, the team would then be expected to capture more patients at risk for VTE by modifying the risk assessment protocol to identify moderate‐risk patients (hospitalized patients with one risk factor), as in the MEDENOX, ARTEMIS, and PREVENT clinical trials. Within the first several months, the QI intervention could be expanded to more nursing units. An improvement report profiling a clinically important increase in the rate of appropriate VTE prophylaxis would advocate for additional local resources and projects.

As questions arise in assembling an improvement team, setting useful aims and metrics, choosing interventions, implementing and studying change, or collecting performance data, hospitalists can review answers to questions already posted and post their own questions in the Ask the Expert area. For example, one user asked whether there was a standard risk assessment tool for identifying patients at high risk of VTE. Another asked about the use of unfractionated heparin as a low‐cost alternative to low‐molecular‐weight heparin. Both these questions were answered within 24 hours by the content editor of the VTE QI RR and, for one question, also by 2 pharmacists and an international expert in VTE.
As other hospitalists begin de novo efforts of their own, success stories and strategies posted in the online forums of the VTE QI RR will be an evolving resource for basic know‐how and innovation.
Suggestions from a community of resource room users will be solicited, evaluated, and incorporated into the QI RR in order to improve its educational value and utility. The curricula could also be adapted or refined by others with an interest in systems‐based care or practice‐based learning, such as directors of residency training programs.
CONCLUSIONS
The QI RRs bring QI theory and practice to the hospitalist, when and wherever it is wanted, minimizing time away from patient care. The workbook links theory to practice and can be used to launch, sustain, and document a local VTE‐specific QI initiative. A range of experience is accommodated. Content is provided in a way that enables the user to immediately apply and adapt it to a local contextusers can access and download the subset of tools that best meet their needs. For practicing hospitalists, this QI resource offers an opportunity to bridge the training gap in systems‐based hospital care and should increase the quality and quantity of and support for opportunities to lead successful QI projects.
The Accreditation Council of Graduate Medical Education (ACGME) now requires education in health care systems, a requirement not previously mandated for traditional medical residency programs.17 Because the resource rooms should increase the number of hospitalists competently leading local efforts that achieve measurable gains in hospital outcomes, a wider potential constituency also includes residency program directors, internal medicine residents, physician assistants and nurse‐practitioners, nurses, hospital quality officers, and hospital medicine practice leaders.
Further research is needed to determine the clinical impact of the VTE QI workbook on outcomes for hospitalized patients. The effectiveness of such an educational method should be evaluated, at least in part, by documenting changes in clinically important process and outcome measures, in this case those specific to hospital‐acquired VTE. Investigation also will need to generate an impact assessment to see if the curricula are effective in meeting the strategic educational goals of the Society of Hospital Medicine. Further investigation will examine whether this resource can help residency training programs achieve ACGME goals for practice‐based learning and systems‐based care.
- Society of Hospital Medicine Available at: http://www.hospitalmedicine.org/AM/Template.cfm?Section=Quality_Improvement_Resource_Rooms1(suppl 1).
- Physician practices in the prevention of venous thromboembolism.Arch Intern Med.1991;151:933–938. , , , , , .
- Kohn LT,Corrigan JM,Donaldson MS, eds.To Err Is Human.Washington, DC:National Academy Press;2000.
- Institute of Medicinehttp://www.iom.edu/CMS/3718.aspx
- Shojania KG,Duncan BW,McDonald KM,Wachter RM, eds.Making health care safer: a critical analysis of patient safety practices.Agency for Healthcare Research and Quality, Publication 01‐E058;2001.
- Joint Commission on the Accreditation of Health Care Organizations. Public policy initiatives. Available at: http://www.jcaho.org/about+us/public+policy+initiatives/pay_for_performance.htm
- Curriculum Development for Medical Education: A Six‐Step Approach.Baltimore, Md:Johns Hopkins University Press;1998. .
- DVT FREE Steering Committee.A prospective registry of 5,451 patients with ultrasound‐confirmed deep vein thrombosis.Am J Cardiol.2004;93:259. , ;
- Electronic alerts to prevent venous thromboembolism among hospitalized patients.N Engl J Med.2005;352:969. , , , et al.
- Teaching the Case Method.3rd ed.Cambridge, Mass :Harvard Business School. , , .
- American College of Physicians. Available at: http://www.acpjc.org/?hp
- MEDENOX trial.N Engl J Med.1999;341:793–800. , , , et al.
- Fondaparinux versus placebo for the prevention of VTE in acutely ill medical patients (ARTEMIS).J Thromb Haemost.2003;1(suppl 1):2046. , , .
- PREVENT Medical Thromboprophylaxis Study Group.Circulation.2004;110:874–879. , , , , , .
- Comparing the costs, risks and benefits of competing strategies for the primary prevention of VTE.Circulation.2004;110:IV25–IV32. , .
- Accreditation Council for Graduate Medical Education. Available at: http://www.acgme.org/acWebsite/programDir/pd_index.asp.
The goal of this article is to explain how the first in a series of online resource rooms provides trainees and hospitalists with quality improvement tools that can be applied locally to improve inpatient care.1 During the emergence and explosive growth of hospital medicine, the SHM recognized the need to revise training relating to inpatient care and hospital process design to meet the evolving expectation of hospitalists that their performance will be measured, to actively set quality parameters, and to lead multidisciplinary teams to improve hospital performance.2 Armed with the appropriate skill set, hospitalists would be uniquely situated to lead and manage improvements in processes in the hospitals in which they work.
The content of the first Society of Hospital Medicine (SHM) Quality Improvement Resource Room (QI RR) supports hospitalists leading a multidisciplinary team dedicated to improving inpatient outcomes by preventing hospital‐acquired venous thromboembolism (VTE), a common cause of morbidity and mortality in hospitalized patients.3 The SHM developed this educational resource in the context of numerous reports on the incidence of medical errors in US hospitals and calls for action to improve the quality of health care.'47 Hospital report cards on quality measures are now public record, and hospitals will require uniformity in practice among physicians. Hospitalists are increasingly expected to lead initiatives that will implement national standards in key practices such as VTE prophylaxis2.
The QI RRs of the SHM are a collection of electronic tools accessible through the SHM Web site. They are designed to enhance the readiness of hospitalists and members of the multidisciplinary inpatient team to redesign care at the institutional level. Although all performance improvement is ultimately occurs locally, many QI methods and tools transcend hospital geography and disease topic. Leveraging a Web‐based platform, the SHM QI RRs present hospitalists with a general approach to QI, enriched by customizable workbooks that can be downloaded to best meet user needs. This resource is an innovation in practice‐based learning, quality improvement, and systems‐based practice.
METHODS
Development of the first QI RR followed a series of steps described in Curriculum Development for Medical Education8 (for process and timeline, see Table 1). Inadequate VTE prophylaxis was identified as an ongoing widespread problem of health care underutilization despite randomized clinical trials supporting the efficacy of prophylaxis.9, 10 Mirroring the AHRQ's assessment of underutilization of VTE prophylaxis as the single most important safety priority,6 the first QI RR focused on VTE, with plans to cover additional clinical conditions over time. As experts in the care of inpatients, hospitalists should be able to take custody of predictable complications of serious illness, identify and lower barriers to prevention, critically review prophylaxis options, utilize hospital‐specific data, and devise strategies to bridge the gap between knowledge and practice. Already leaders of multidisciplinary care teams, hospitalists are primed to lead multidisciplinary improvement teams as well.
Phase 1 (January 2005April 2005): Executing the educational strategy |
---|
One‐hour conference calls |
Curricular, clinical, technical, and creative aspects of production |
Additional communication between members of working group between calls |
Development of questionnaire for SHM membership, board, education, and hospital quality patient safety (HQPS) committees |
Content freeze: fourth month of development |
Implementation of revisions prior to April 2005 SHM Annual Meeting |
Phase 2 (April 2005August 2005): revision based on feedback |
Analysis of formative evaluation from Phase 1 |
Launch of the VTE QI RR August 2005 |
Secondary phases and venues for implementation |
Workshops at hospital medicine educational events |
SHM Quality course |
Formal recognition of the learning, experience, or proficiency acquired by users |
The working editorial team for the first resource room |
Dedicated project manager (SHM staff) |
Senior adviser for planning and development (SHM staff) |
Senior adviser for education (SHM staff) |
Content expert |
Education editor |
Hospital quality editor |
Managing editor |
Available data on the demographics of hospitalists and feedback from the SHM membership, leadership, and committees indicated that most learners would have minimal previous exposure to QI concepts and only a few years of management experience. Any previous quality improvement initiatives would tend to have been isolated, experimental, or smaller in scale. The resource rooms are designed to facilitate quality improvement learning among hospitalists that is practice‐based and immediately relevant to patient care. Measurable improvement in particular care processes or outcomes should correlate with actual learning.
The educational strategy of the SHM was predicated on ensuring that a quality and patient safety curriculum would retain clinical applicability in the hospital setting. This approach, grounded in adult learning principles and common to medical education, teaches general principles by framing the learning experience as problem centered.11 Several domains were identified as universally important to any quality improvement effort: raising awareness of a local performance gap, applying the best current evidence to practice, tapping the experience of others leading QI efforts, and using measurements derived from rapid‐cycle tests of change. Such a template delineates the components of successful QI planning, implementation, and evaluation and provides users with a familiar RR format applicable to improving any care process, not just VTE.
The Internet was chosen as the mechanism for delivering training on the basis of previous surveys of the SHM membership in which members expressed a preference for electronic and Web‐based forms of educational content delivery. Drawing from the example of other organizations teaching quality improvement, including the Institute for Healthcare Improvement and Intermountain Health Care, the SHM valued the ubiquity of a Web‐based educational resource. To facilitate on‐the‐job training, the first SHM QI RR provides a comprehensive tool kit to guide hospitalists through the process of advocating, developing, implementing, and evaluating a QI initiative for VTE.
Prior to launching the resource room, formative input was collected from SHM leaders, a panel of education and QI experts, and attendees of the society's annual meetings. Such input followed each significant step in the development of the RR curricula. For example, visitors at a kiosk at the 2005 SHM annual meeting completed surveys as they navigated through the VTE QI RR. This focused feedback shaped prelaunch development. The ultimate performance evaluation and feedback for the QI RR curricula will be gauged by user reports of measurable improvement in specific hospital process or outcomes measures. The VTE QI RR was launched in August 2005 and promoted at the SHM Web site.
RESULTS
The content and layout of the VTE QI RR are depicted in Figure 1. The self‐directed learner may navigate through the entire resource room or just select areas for study. Those likely to visit only a single area are individuals looking for guidance to support discrete roles on the improvement team: champion, clinical leader, facilitator of the QI process, or educator of staff or patient audiences (see Figure 2).


Why Should You Act?
The visual center of the QI RR layout presents sobering statisticsalthough pulmonary embolism from deep vein thrombosis is the most common cause of preventable hospital death, most hospitalized medical patients at risk do not receive appropriate prophylaxisand then encourages hospitalist‐led action to reduce hospital‐acquired VTE. The role of the hospitalist is extracted from the competencies articulated in the Venous Thromboembolism, Quality Improvement, and Hospitalist as Teacher chapters of The Core Competencies in Hospital Medicine.2
Awareness
In the Awareness area of the VTE QI RR, materials to raise clinician, hospital staff, and patient awareness are suggested and made available. Through the SHM's lead sponsorship of the national DVT Awareness Month campaign, suggested Steps to Action depict exactly how a hospital medicine service can use the campaign's materials to raise institutional support for tackling this preventable problem.
Evidence
The Evidence section aggregates a list of the most pertinent VTE prophylaxis literature to help ground any QI effort firmly in the evidence base. Through an agreement with the American College of Physicians (ACP), VTE prophylaxis articles reviewed in the ACP Journal Club are presented here.12 Although the listed literature focuses on prophylaxis, plans are in place to include references on diagnosis and treatment.
Experience
Resource room visitors interested in tapping into the experience of hospitalists and other leaders of QI efforts can navigate directly to this area. Interactive resources here include downloadable and adaptable protocols for VTE prophylaxis and, most importantly, improvement stories profiling actual QI successes. The Experience section features comments from an author of a seminal trial that studied computer alerts for high‐risk patients not receiving prophylaxis.10 The educational goal of this section of the QI RR is to provide opportunities to learn from successful QI projects, from the composition of the improvement team to the relevant metrics, implementation plan, and next steps.
Ask the Expert
The most interactive part of the resource room, the Ask the Expert forum, provides a hybrid of experience and evidence. A visitor who posts a clinical or improvement question to this discussion community receives a multidisciplinary response. For each question posted, a hospitalist moderator collects and aggregates responses from a panel of VTE experts, QI experts, hospitalist teachers, and pharmacists. The online exchange permitted by this forum promotes wider debate and learning. The questions and responses are archived and thus are available for subsequent users to read.
Improve
This area features the focal point of the entire resource room, the VTE QI workbook, which was written and designed to provide action‐oriented learning in quality improvement. The workbook is a downloadable project outline to guide and document efforts aimed at reducing rates of hospital‐acquired VTE. Hospitalists who complete the workbook should have acquired familiarity with and a working proficiency in leading system‐level efforts to drive better patient care. Users new to the theory and practice of QI can also review key concepts from a slide presentation in this part of the resource room.
Educate
This content area profiles the hospital medicine core competencies that relate to VTE and QI while also offering teaching materials and advice for teachers of VTE or QI. Teaching resources for clinician educators include online CME and an up‐to‐date slide lecture about VTE prophylaxis. The lecture presentation can be downloaded and customized to serve the needs of the speaker and the audience, whether students, residents, or other hospital staff. Clinician educators can also share or review teaching pearls used by hospitalist colleagues who serve as ward attendings.
DISCUSSION
A case example, shown in Figure 3, demonstrates how content accessible through the SHM VTE QI RR may be used to catalyze a local quality improvement effort.

Hospitals will be measured on rates of VTE prophylaxis on medical and surgical services. Failure to standardize prophylaxis among different physician groups may adversely affect overall performance, with implications for both patient care and accreditation. The lack of a agreed‐on gold standard of what constitutes appropriate prophylaxis for a given patient does not absolve an institution of the duty to implement its own standards. The challenge of achieving local consensus on appropriate prophylaxis should not outweigh the urgency to address preventable in‐hospital deaths. In caring for increasing numbers of general medical and surgical patients, hospitalists are likely to be asked to develop and implement a protocol for VTE prophylaxis that can be used hospitalwide. In many instances hospitalists will accept this charge in the aftermath of previous hospital failures in which admission order sets or VTE assessment protocols were launched but never widely implemented. As the National Quality Forum or JCAHO regulations for uniformity among hospitals shift VTE prophylaxis from being voluntary to compulsory, hospitalists will need to develop improvement strategies that have greater reliability.
Hospitalists with no formal training in either vascular medicine or quality improvement may not be able to immediately cite the most current data about VTE prophylaxis rates and regimens and may not have the time to enroll in a training course on quality improvement. How would hospitalists determine baseline rates of appropriate VTE prophylaxis? How can medical education be used to build consensus and recruit support from other physicians? What should be the scope of the QI initiative, and what patient population should be targeted for intervention?
The goal of the SHM QI RR is to provide the tools and the framework to help hospitalists develop, implement, and manage a VTE prophylaxis quality improvement initiative. Suggested Steps to Action in the Awareness section depict exactly how a hospital medicine service can use the campaign's materials to raise institutional support for tackling this preventable problem. Hospital quality officers can direct the hospital's public relations department to the Awareness section for DVT Awareness Month materials, including public service announcements in audio, visual, and print formats. The hold music at the hospital can be temporarily replaced, television kiosks can be set up to run video loops, and banners can be printed and hung in central locations, all to get out the message simultaneously to patients and medical staff.
The Evidence section of the VTE QI RR references a key benchmark study, the DVT‐Free Prospective Registry.9 This study reported that at 183 sites in North America and Europe, more than twice as many medical patients as surgical patients failed to receive prophylaxis. The Evidence section includes the 7th American College of Chest Physicians Consensus Conference on Antithrombotic and Thrombolytic Therapy and also highlights 3 randomized placebo‐controlled clinical trials (MEDENOX 1999, ARTEMIS 2003, and PREVENT 2004) that have reported significant reduction of risk of VTE (50%‐60%) from pharmacologic prophylaxis in moderate‐risk medical inpatients.1315 Review of the data helps to determine which patient population to study first, which prophylaxis options a hospital could deploy appropriately, and the expected magnitude of the effect. Because the literature has already been narrowed and is kept current, hospitalists can save time in answering a range of questions, from the most commonly agreed‐on factors to stratify risk to which populations require alternative interventions.
The Experience section references the first clinical trial demonstrating improved patient outcomes from a quality improvement initiative aimed at improving utilization of VTE prophylaxis.10 At the large teaching hospital where the electronic alerts were studied, a preexisting wealth of educational information on the hospital Web site, in the form of multiple seminars and lectures on VTE prophylaxis by opinion leaders and international experts, had little impact on practice. For this reason, the investigators implemented a trial of how to change physician behavior by introducing a point‐of‐care intervention, the computer alerts. Clinicians prompted by an electronic alert to consider DVT prophylaxis for at‐risk patients employed nearly double the rate of pharmacologic prophylaxis and reduced the incidence of DVT or pulmonary embolism (PE) by 41%. This study suggests that a change introduced to the clinical workflow can improve evidence‐based VTE prophylaxis and also can reduce the incidence of VTE in acutely ill hospitalized patients.
We believe that if hospitalists use the current evidence and experience assembled in the VTE QI RR, they could develop and lead a systematic approach to improving utilization of VTE prophylaxis. Although there is no gold standard method for integrating VTE risk assessment into clinical workflow, the VTE QI RR presents key lessons both from the literature and real world experiences. The crucial take‐home message is that hospitalists can facilitate implementation of VTE risk assessments if they stress simplicity (ie, the sick, old, surgery benefit), link the risk assessment to a menu of evidence‐based prophylaxis options, and require assessment of VTE risk as part of a regular routine (on admission and at regular intervals). Although many hospitals do not yet have computerized entry of physician orders, the simple 4‐point VTE risk assessment described by Kucher et al might be applied to other hospitals.10 The 4‐point system would identify the patients at highest risk, a reasonable starting point for a QI initiative. Whatever the modelCPOE alerts of very high‐risk patients, CPOE‐forced VTE risk assessments, nursing assessments, or paper‐based order setsregular VTE risk assessment can be incorporated into the daily routine of hospital care.
The QI workbook sequences the steps of a multidisciplinary improvement team and prompts users to set specific goals, collect practical metrics, and conduct plan‐do‐study‐act (PDSA) cycles of learning and action (Figure 4). Hospitalists and other team members can use the information in the workbook to estimate the prevalence of use of the appropriate VTE prophylaxis and the incidence of hospital‐acquired VTE at their medical centers, develop a suitable VTE risk assessment model, and plan interventions. Starting with all patients admitted to one nurse on one unit, then expanding to an entire nursing unit, an improvement team could implement rapid PDSA cycles to iron out the wrinkles of a risk assessment protocol. After demonstrating a measurable benefit for the patients at highest risk, the team would then be expected to capture more patients at risk for VTE by modifying the risk assessment protocol to identify moderate‐risk patients (hospitalized patients with one risk factor), as in the MEDENOX, ARTEMIS, and PREVENT clinical trials. Within the first several months, the QI intervention could be expanded to more nursing units. An improvement report profiling a clinically important increase in the rate of appropriate VTE prophylaxis would advocate for additional local resources and projects.

As questions arise in assembling an improvement team, setting useful aims and metrics, choosing interventions, implementing and studying change, or collecting performance data, hospitalists can review answers to questions already posted and post their own questions in the Ask the Expert area. For example, one user asked whether there was a standard risk assessment tool for identifying patients at high risk of VTE. Another asked about the use of unfractionated heparin as a low‐cost alternative to low‐molecular‐weight heparin. Both these questions were answered within 24 hours by the content editor of the VTE QI RR and, for one question, also by 2 pharmacists and an international expert in VTE.
As other hospitalists begin de novo efforts of their own, success stories and strategies posted in the online forums of the VTE QI RR will be an evolving resource for basic know‐how and innovation.
Suggestions from a community of resource room users will be solicited, evaluated, and incorporated into the QI RR in order to improve its educational value and utility. The curricula could also be adapted or refined by others with an interest in systems‐based care or practice‐based learning, such as directors of residency training programs.
CONCLUSIONS
The QI RRs bring QI theory and practice to the hospitalist, when and wherever it is wanted, minimizing time away from patient care. The workbook links theory to practice and can be used to launch, sustain, and document a local VTE‐specific QI initiative. A range of experience is accommodated. Content is provided in a way that enables the user to immediately apply and adapt it to a local contextusers can access and download the subset of tools that best meet their needs. For practicing hospitalists, this QI resource offers an opportunity to bridge the training gap in systems‐based hospital care and should increase the quality and quantity of and support for opportunities to lead successful QI projects.
The Accreditation Council of Graduate Medical Education (ACGME) now requires education in health care systems, a requirement not previously mandated for traditional medical residency programs.17 Because the resource rooms should increase the number of hospitalists competently leading local efforts that achieve measurable gains in hospital outcomes, a wider potential constituency also includes residency program directors, internal medicine residents, physician assistants and nurse‐practitioners, nurses, hospital quality officers, and hospital medicine practice leaders.
Further research is needed to determine the clinical impact of the VTE QI workbook on outcomes for hospitalized patients. The effectiveness of such an educational method should be evaluated, at least in part, by documenting changes in clinically important process and outcome measures, in this case those specific to hospital‐acquired VTE. Investigation also will need to generate an impact assessment to see if the curricula are effective in meeting the strategic educational goals of the Society of Hospital Medicine. Further investigation will examine whether this resource can help residency training programs achieve ACGME goals for practice‐based learning and systems‐based care.
The goal of this article is to explain how the first in a series of online resource rooms provides trainees and hospitalists with quality improvement tools that can be applied locally to improve inpatient care.1 During the emergence and explosive growth of hospital medicine, the SHM recognized the need to revise training relating to inpatient care and hospital process design to meet the evolving expectation of hospitalists that their performance will be measured, to actively set quality parameters, and to lead multidisciplinary teams to improve hospital performance.2 Armed with the appropriate skill set, hospitalists would be uniquely situated to lead and manage improvements in processes in the hospitals in which they work.
The content of the first Society of Hospital Medicine (SHM) Quality Improvement Resource Room (QI RR) supports hospitalists leading a multidisciplinary team dedicated to improving inpatient outcomes by preventing hospital‐acquired venous thromboembolism (VTE), a common cause of morbidity and mortality in hospitalized patients.3 The SHM developed this educational resource in the context of numerous reports on the incidence of medical errors in US hospitals and calls for action to improve the quality of health care.'47 Hospital report cards on quality measures are now public record, and hospitals will require uniformity in practice among physicians. Hospitalists are increasingly expected to lead initiatives that will implement national standards in key practices such as VTE prophylaxis2.
The QI RRs of the SHM are a collection of electronic tools accessible through the SHM Web site. They are designed to enhance the readiness of hospitalists and members of the multidisciplinary inpatient team to redesign care at the institutional level. Although all performance improvement is ultimately occurs locally, many QI methods and tools transcend hospital geography and disease topic. Leveraging a Web‐based platform, the SHM QI RRs present hospitalists with a general approach to QI, enriched by customizable workbooks that can be downloaded to best meet user needs. This resource is an innovation in practice‐based learning, quality improvement, and systems‐based practice.
METHODS
Development of the first QI RR followed a series of steps described in Curriculum Development for Medical Education8 (for process and timeline, see Table 1). Inadequate VTE prophylaxis was identified as an ongoing widespread problem of health care underutilization despite randomized clinical trials supporting the efficacy of prophylaxis.9, 10 Mirroring the AHRQ's assessment of underutilization of VTE prophylaxis as the single most important safety priority,6 the first QI RR focused on VTE, with plans to cover additional clinical conditions over time. As experts in the care of inpatients, hospitalists should be able to take custody of predictable complications of serious illness, identify and lower barriers to prevention, critically review prophylaxis options, utilize hospital‐specific data, and devise strategies to bridge the gap between knowledge and practice. Already leaders of multidisciplinary care teams, hospitalists are primed to lead multidisciplinary improvement teams as well.
Phase 1 (January 2005April 2005): Executing the educational strategy |
---|
One‐hour conference calls |
Curricular, clinical, technical, and creative aspects of production |
Additional communication between members of working group between calls |
Development of questionnaire for SHM membership, board, education, and hospital quality patient safety (HQPS) committees |
Content freeze: fourth month of development |
Implementation of revisions prior to April 2005 SHM Annual Meeting |
Phase 2 (April 2005August 2005): revision based on feedback |
Analysis of formative evaluation from Phase 1 |
Launch of the VTE QI RR August 2005 |
Secondary phases and venues for implementation |
Workshops at hospital medicine educational events |
SHM Quality course |
Formal recognition of the learning, experience, or proficiency acquired by users |
The working editorial team for the first resource room |
Dedicated project manager (SHM staff) |
Senior adviser for planning and development (SHM staff) |
Senior adviser for education (SHM staff) |
Content expert |
Education editor |
Hospital quality editor |
Managing editor |
Available data on the demographics of hospitalists and feedback from the SHM membership, leadership, and committees indicated that most learners would have minimal previous exposure to QI concepts and only a few years of management experience. Any previous quality improvement initiatives would tend to have been isolated, experimental, or smaller in scale. The resource rooms are designed to facilitate quality improvement learning among hospitalists that is practice‐based and immediately relevant to patient care. Measurable improvement in particular care processes or outcomes should correlate with actual learning.
The educational strategy of the SHM was predicated on ensuring that a quality and patient safety curriculum would retain clinical applicability in the hospital setting. This approach, grounded in adult learning principles and common to medical education, teaches general principles by framing the learning experience as problem centered.11 Several domains were identified as universally important to any quality improvement effort: raising awareness of a local performance gap, applying the best current evidence to practice, tapping the experience of others leading QI efforts, and using measurements derived from rapid‐cycle tests of change. Such a template delineates the components of successful QI planning, implementation, and evaluation and provides users with a familiar RR format applicable to improving any care process, not just VTE.
The Internet was chosen as the mechanism for delivering training on the basis of previous surveys of the SHM membership in which members expressed a preference for electronic and Web‐based forms of educational content delivery. Drawing from the example of other organizations teaching quality improvement, including the Institute for Healthcare Improvement and Intermountain Health Care, the SHM valued the ubiquity of a Web‐based educational resource. To facilitate on‐the‐job training, the first SHM QI RR provides a comprehensive tool kit to guide hospitalists through the process of advocating, developing, implementing, and evaluating a QI initiative for VTE.
Prior to launching the resource room, formative input was collected from SHM leaders, a panel of education and QI experts, and attendees of the society's annual meetings. Such input followed each significant step in the development of the RR curricula. For example, visitors at a kiosk at the 2005 SHM annual meeting completed surveys as they navigated through the VTE QI RR. This focused feedback shaped prelaunch development. The ultimate performance evaluation and feedback for the QI RR curricula will be gauged by user reports of measurable improvement in specific hospital process or outcomes measures. The VTE QI RR was launched in August 2005 and promoted at the SHM Web site.
RESULTS
The content and layout of the VTE QI RR are depicted in Figure 1. The self‐directed learner may navigate through the entire resource room or just select areas for study. Those likely to visit only a single area are individuals looking for guidance to support discrete roles on the improvement team: champion, clinical leader, facilitator of the QI process, or educator of staff or patient audiences (see Figure 2).


Why Should You Act?
The visual center of the QI RR layout presents sobering statisticsalthough pulmonary embolism from deep vein thrombosis is the most common cause of preventable hospital death, most hospitalized medical patients at risk do not receive appropriate prophylaxisand then encourages hospitalist‐led action to reduce hospital‐acquired VTE. The role of the hospitalist is extracted from the competencies articulated in the Venous Thromboembolism, Quality Improvement, and Hospitalist as Teacher chapters of The Core Competencies in Hospital Medicine.2
Awareness
In the Awareness area of the VTE QI RR, materials to raise clinician, hospital staff, and patient awareness are suggested and made available. Through the SHM's lead sponsorship of the national DVT Awareness Month campaign, suggested Steps to Action depict exactly how a hospital medicine service can use the campaign's materials to raise institutional support for tackling this preventable problem.
Evidence
The Evidence section aggregates a list of the most pertinent VTE prophylaxis literature to help ground any QI effort firmly in the evidence base. Through an agreement with the American College of Physicians (ACP), VTE prophylaxis articles reviewed in the ACP Journal Club are presented here.12 Although the listed literature focuses on prophylaxis, plans are in place to include references on diagnosis and treatment.
Experience
Resource room visitors interested in tapping into the experience of hospitalists and other leaders of QI efforts can navigate directly to this area. Interactive resources here include downloadable and adaptable protocols for VTE prophylaxis and, most importantly, improvement stories profiling actual QI successes. The Experience section features comments from an author of a seminal trial that studied computer alerts for high‐risk patients not receiving prophylaxis.10 The educational goal of this section of the QI RR is to provide opportunities to learn from successful QI projects, from the composition of the improvement team to the relevant metrics, implementation plan, and next steps.
Ask the Expert
The most interactive part of the resource room, the Ask the Expert forum, provides a hybrid of experience and evidence. A visitor who posts a clinical or improvement question to this discussion community receives a multidisciplinary response. For each question posted, a hospitalist moderator collects and aggregates responses from a panel of VTE experts, QI experts, hospitalist teachers, and pharmacists. The online exchange permitted by this forum promotes wider debate and learning. The questions and responses are archived and thus are available for subsequent users to read.
Improve
This area features the focal point of the entire resource room, the VTE QI workbook, which was written and designed to provide action‐oriented learning in quality improvement. The workbook is a downloadable project outline to guide and document efforts aimed at reducing rates of hospital‐acquired VTE. Hospitalists who complete the workbook should have acquired familiarity with and a working proficiency in leading system‐level efforts to drive better patient care. Users new to the theory and practice of QI can also review key concepts from a slide presentation in this part of the resource room.
Educate
This content area profiles the hospital medicine core competencies that relate to VTE and QI while also offering teaching materials and advice for teachers of VTE or QI. Teaching resources for clinician educators include online CME and an up‐to‐date slide lecture about VTE prophylaxis. The lecture presentation can be downloaded and customized to serve the needs of the speaker and the audience, whether students, residents, or other hospital staff. Clinician educators can also share or review teaching pearls used by hospitalist colleagues who serve as ward attendings.
DISCUSSION
A case example, shown in Figure 3, demonstrates how content accessible through the SHM VTE QI RR may be used to catalyze a local quality improvement effort.

Hospitals will be measured on rates of VTE prophylaxis on medical and surgical services. Failure to standardize prophylaxis among different physician groups may adversely affect overall performance, with implications for both patient care and accreditation. The lack of a agreed‐on gold standard of what constitutes appropriate prophylaxis for a given patient does not absolve an institution of the duty to implement its own standards. The challenge of achieving local consensus on appropriate prophylaxis should not outweigh the urgency to address preventable in‐hospital deaths. In caring for increasing numbers of general medical and surgical patients, hospitalists are likely to be asked to develop and implement a protocol for VTE prophylaxis that can be used hospitalwide. In many instances hospitalists will accept this charge in the aftermath of previous hospital failures in which admission order sets or VTE assessment protocols were launched but never widely implemented. As the National Quality Forum or JCAHO regulations for uniformity among hospitals shift VTE prophylaxis from being voluntary to compulsory, hospitalists will need to develop improvement strategies that have greater reliability.
Hospitalists with no formal training in either vascular medicine or quality improvement may not be able to immediately cite the most current data about VTE prophylaxis rates and regimens and may not have the time to enroll in a training course on quality improvement. How would hospitalists determine baseline rates of appropriate VTE prophylaxis? How can medical education be used to build consensus and recruit support from other physicians? What should be the scope of the QI initiative, and what patient population should be targeted for intervention?
The goal of the SHM QI RR is to provide the tools and the framework to help hospitalists develop, implement, and manage a VTE prophylaxis quality improvement initiative. Suggested Steps to Action in the Awareness section depict exactly how a hospital medicine service can use the campaign's materials to raise institutional support for tackling this preventable problem. Hospital quality officers can direct the hospital's public relations department to the Awareness section for DVT Awareness Month materials, including public service announcements in audio, visual, and print formats. The hold music at the hospital can be temporarily replaced, television kiosks can be set up to run video loops, and banners can be printed and hung in central locations, all to get out the message simultaneously to patients and medical staff.
The Evidence section of the VTE QI RR references a key benchmark study, the DVT‐Free Prospective Registry.9 This study reported that at 183 sites in North America and Europe, more than twice as many medical patients as surgical patients failed to receive prophylaxis. The Evidence section includes the 7th American College of Chest Physicians Consensus Conference on Antithrombotic and Thrombolytic Therapy and also highlights 3 randomized placebo‐controlled clinical trials (MEDENOX 1999, ARTEMIS 2003, and PREVENT 2004) that have reported significant reduction of risk of VTE (50%‐60%) from pharmacologic prophylaxis in moderate‐risk medical inpatients.1315 Review of the data helps to determine which patient population to study first, which prophylaxis options a hospital could deploy appropriately, and the expected magnitude of the effect. Because the literature has already been narrowed and is kept current, hospitalists can save time in answering a range of questions, from the most commonly agreed‐on factors to stratify risk to which populations require alternative interventions.
The Experience section references the first clinical trial demonstrating improved patient outcomes from a quality improvement initiative aimed at improving utilization of VTE prophylaxis.10 At the large teaching hospital where the electronic alerts were studied, a preexisting wealth of educational information on the hospital Web site, in the form of multiple seminars and lectures on VTE prophylaxis by opinion leaders and international experts, had little impact on practice. For this reason, the investigators implemented a trial of how to change physician behavior by introducing a point‐of‐care intervention, the computer alerts. Clinicians prompted by an electronic alert to consider DVT prophylaxis for at‐risk patients employed nearly double the rate of pharmacologic prophylaxis and reduced the incidence of DVT or pulmonary embolism (PE) by 41%. This study suggests that a change introduced to the clinical workflow can improve evidence‐based VTE prophylaxis and also can reduce the incidence of VTE in acutely ill hospitalized patients.
We believe that if hospitalists use the current evidence and experience assembled in the VTE QI RR, they could develop and lead a systematic approach to improving utilization of VTE prophylaxis. Although there is no gold standard method for integrating VTE risk assessment into clinical workflow, the VTE QI RR presents key lessons both from the literature and real world experiences. The crucial take‐home message is that hospitalists can facilitate implementation of VTE risk assessments if they stress simplicity (ie, the sick, old, surgery benefit), link the risk assessment to a menu of evidence‐based prophylaxis options, and require assessment of VTE risk as part of a regular routine (on admission and at regular intervals). Although many hospitals do not yet have computerized entry of physician orders, the simple 4‐point VTE risk assessment described by Kucher et al might be applied to other hospitals.10 The 4‐point system would identify the patients at highest risk, a reasonable starting point for a QI initiative. Whatever the modelCPOE alerts of very high‐risk patients, CPOE‐forced VTE risk assessments, nursing assessments, or paper‐based order setsregular VTE risk assessment can be incorporated into the daily routine of hospital care.
The QI workbook sequences the steps of a multidisciplinary improvement team and prompts users to set specific goals, collect practical metrics, and conduct plan‐do‐study‐act (PDSA) cycles of learning and action (Figure 4). Hospitalists and other team members can use the information in the workbook to estimate the prevalence of use of the appropriate VTE prophylaxis and the incidence of hospital‐acquired VTE at their medical centers, develop a suitable VTE risk assessment model, and plan interventions. Starting with all patients admitted to one nurse on one unit, then expanding to an entire nursing unit, an improvement team could implement rapid PDSA cycles to iron out the wrinkles of a risk assessment protocol. After demonstrating a measurable benefit for the patients at highest risk, the team would then be expected to capture more patients at risk for VTE by modifying the risk assessment protocol to identify moderate‐risk patients (hospitalized patients with one risk factor), as in the MEDENOX, ARTEMIS, and PREVENT clinical trials. Within the first several months, the QI intervention could be expanded to more nursing units. An improvement report profiling a clinically important increase in the rate of appropriate VTE prophylaxis would advocate for additional local resources and projects.

As questions arise in assembling an improvement team, setting useful aims and metrics, choosing interventions, implementing and studying change, or collecting performance data, hospitalists can review answers to questions already posted and post their own questions in the Ask the Expert area. For example, one user asked whether there was a standard risk assessment tool for identifying patients at high risk of VTE. Another asked about the use of unfractionated heparin as a low‐cost alternative to low‐molecular‐weight heparin. Both these questions were answered within 24 hours by the content editor of the VTE QI RR and, for one question, also by 2 pharmacists and an international expert in VTE.
As other hospitalists begin de novo efforts of their own, success stories and strategies posted in the online forums of the VTE QI RR will be an evolving resource for basic know‐how and innovation.
Suggestions from a community of resource room users will be solicited, evaluated, and incorporated into the QI RR in order to improve its educational value and utility. The curricula could also be adapted or refined by others with an interest in systems‐based care or practice‐based learning, such as directors of residency training programs.
CONCLUSIONS
The QI RRs bring QI theory and practice to the hospitalist, when and wherever it is wanted, minimizing time away from patient care. The workbook links theory to practice and can be used to launch, sustain, and document a local VTE‐specific QI initiative. A range of experience is accommodated. Content is provided in a way that enables the user to immediately apply and adapt it to a local contextusers can access and download the subset of tools that best meet their needs. For practicing hospitalists, this QI resource offers an opportunity to bridge the training gap in systems‐based hospital care and should increase the quality and quantity of and support for opportunities to lead successful QI projects.
The Accreditation Council of Graduate Medical Education (ACGME) now requires education in health care systems, a requirement not previously mandated for traditional medical residency programs.17 Because the resource rooms should increase the number of hospitalists competently leading local efforts that achieve measurable gains in hospital outcomes, a wider potential constituency also includes residency program directors, internal medicine residents, physician assistants and nurse‐practitioners, nurses, hospital quality officers, and hospital medicine practice leaders.
Further research is needed to determine the clinical impact of the VTE QI workbook on outcomes for hospitalized patients. The effectiveness of such an educational method should be evaluated, at least in part, by documenting changes in clinically important process and outcome measures, in this case those specific to hospital‐acquired VTE. Investigation also will need to generate an impact assessment to see if the curricula are effective in meeting the strategic educational goals of the Society of Hospital Medicine. Further investigation will examine whether this resource can help residency training programs achieve ACGME goals for practice‐based learning and systems‐based care.
- Society of Hospital Medicine Available at: http://www.hospitalmedicine.org/AM/Template.cfm?Section=Quality_Improvement_Resource_Rooms1(suppl 1).
- Physician practices in the prevention of venous thromboembolism.Arch Intern Med.1991;151:933–938. , , , , , .
- Kohn LT,Corrigan JM,Donaldson MS, eds.To Err Is Human.Washington, DC:National Academy Press;2000.
- Institute of Medicinehttp://www.iom.edu/CMS/3718.aspx
- Shojania KG,Duncan BW,McDonald KM,Wachter RM, eds.Making health care safer: a critical analysis of patient safety practices.Agency for Healthcare Research and Quality, Publication 01‐E058;2001.
- Joint Commission on the Accreditation of Health Care Organizations. Public policy initiatives. Available at: http://www.jcaho.org/about+us/public+policy+initiatives/pay_for_performance.htm
- Curriculum Development for Medical Education: A Six‐Step Approach.Baltimore, Md:Johns Hopkins University Press;1998. .
- DVT FREE Steering Committee.A prospective registry of 5,451 patients with ultrasound‐confirmed deep vein thrombosis.Am J Cardiol.2004;93:259. , ;
- Electronic alerts to prevent venous thromboembolism among hospitalized patients.N Engl J Med.2005;352:969. , , , et al.
- Teaching the Case Method.3rd ed.Cambridge, Mass :Harvard Business School. , , .
- American College of Physicians. Available at: http://www.acpjc.org/?hp
- MEDENOX trial.N Engl J Med.1999;341:793–800. , , , et al.
- Fondaparinux versus placebo for the prevention of VTE in acutely ill medical patients (ARTEMIS).J Thromb Haemost.2003;1(suppl 1):2046. , , .
- PREVENT Medical Thromboprophylaxis Study Group.Circulation.2004;110:874–879. , , , , , .
- Comparing the costs, risks and benefits of competing strategies for the primary prevention of VTE.Circulation.2004;110:IV25–IV32. , .
- Accreditation Council for Graduate Medical Education. Available at: http://www.acgme.org/acWebsite/programDir/pd_index.asp.
- Society of Hospital Medicine Available at: http://www.hospitalmedicine.org/AM/Template.cfm?Section=Quality_Improvement_Resource_Rooms1(suppl 1).
- Physician practices in the prevention of venous thromboembolism.Arch Intern Med.1991;151:933–938. , , , , , .
- Kohn LT,Corrigan JM,Donaldson MS, eds.To Err Is Human.Washington, DC:National Academy Press;2000.
- Institute of Medicinehttp://www.iom.edu/CMS/3718.aspx
- Shojania KG,Duncan BW,McDonald KM,Wachter RM, eds.Making health care safer: a critical analysis of patient safety practices.Agency for Healthcare Research and Quality, Publication 01‐E058;2001.
- Joint Commission on the Accreditation of Health Care Organizations. Public policy initiatives. Available at: http://www.jcaho.org/about+us/public+policy+initiatives/pay_for_performance.htm
- Curriculum Development for Medical Education: A Six‐Step Approach.Baltimore, Md:Johns Hopkins University Press;1998. .
- DVT FREE Steering Committee.A prospective registry of 5,451 patients with ultrasound‐confirmed deep vein thrombosis.Am J Cardiol.2004;93:259. , ;
- Electronic alerts to prevent venous thromboembolism among hospitalized patients.N Engl J Med.2005;352:969. , , , et al.
- Teaching the Case Method.3rd ed.Cambridge, Mass :Harvard Business School. , , .
- American College of Physicians. Available at: http://www.acpjc.org/?hp
- MEDENOX trial.N Engl J Med.1999;341:793–800. , , , et al.
- Fondaparinux versus placebo for the prevention of VTE in acutely ill medical patients (ARTEMIS).J Thromb Haemost.2003;1(suppl 1):2046. , , .
- PREVENT Medical Thromboprophylaxis Study Group.Circulation.2004;110:874–879. , , , , , .
- Comparing the costs, risks and benefits of competing strategies for the primary prevention of VTE.Circulation.2004;110:IV25–IV32. , .
- Accreditation Council for Graduate Medical Education. Available at: http://www.acgme.org/acWebsite/programDir/pd_index.asp.
Copyright © 2006 Society of Hospital Medicine
Clinical Conundrum
A 46‐year‐old African American man presented to the emergency department with severe chest pain that awakened him from sleep. The pain was substernal, radiated to the neck and back, and was continuous, lasting approximately 1 hour. It was associated with nausea, diaphoresis, and dizziness. The patient denied dyspnea, orthopnea, paroxysmal nocturnal dyspnea, dysphagia, odynophagia, vomiting, fever, chills, or headache. He denied recent recreational drug use. He works as a landscaper.
Substernal chest pain radiating to the neck and back implicates structures in the middle mediastinum, chiefly the heart, aorta, esophagus, pulmonary arteries, and mediastinal pleura. The presence of nausea and diaphoresis suggests a vagal response to pain.
The sudden onset of symptoms and the lack of fevers and chills make infectious causes in the mediastinum such as mediastinitis and pneumonia less likely. Acute pulmonary embolism often presents with pleuritic pain and dyspnea, features not present in this patient.
The absence of odynophagia and dysphagia makes esophageal rupture or perforation of esophageal diverticula unlikely. Likewise, the absence of dyspnea, orthopnea, and paroxysmal nocturnal dyspnea makes it unlikely to be acute left ventricular failure from a sudden rise in left atrial pressure. Such a scenario may occur in the setting of a myocardial infarction or rupture of a papillary muscle, chordae tendineae, or sinus of Valsalva.
Dissection of the aorta with or without involvement of the aortic root merits strong consideration. Dissection involving the carotid or vertebral arteries could explain the patient's dizziness. Physical stresses in a landscaper may contribute to elevation in blood pressure and set the stage for an aortic dissection, especially with other risk factors.
The patient has a history of a positive PPD and was treated with isoniazid for 6 months. His mother had a history of hypertension and died from a myocardial infarction at age 64. His father's medical history is unknown. He has a history of alcohol abuse but has been abstinent for more than a year. He smoked marijuana and tobacco occasionally, with a 15 pack‐year cigarette history. He also stated that the last time he used cocaine was 1 year prior to admission.
That his mother succumbed to a myocardial infarction as well as having been hypertensive could be important family history risk factors given the patient's symptoms. Furthermore, the concurrent use of alcohol and tobacco by the patient increases his risk of developing severe hypertension. The use of cocaine is associated with sudden elevations in systemic blood pressure, which predispose to intimal damage in the aorta, especially if other risk factors are present. Marijuana smoking has been implicated in pulmonary aspergillosis, but this sudden presentation in the absence of pulmonary symptoms makes it most unlikely. Optimal therapy of a positive PPD should not predispose the patient to acute exudative pericarditis. Thus far the features suggest an acute vascular episode without significant compromise of cardiac output.
The patient was alert and in mild distress from chest discomfort. He was afebrile, with a blood pressure of 136/64 in the right arm and 139/63 in the left arm. Heart rate was 60 beats per minute, and the respiratory rate was 12 beats per minute, with an oxygen saturation of 99% while breathing room air. Examination of the head and neck revealed no signs of trauma. Jugular venous waveforms were normal, and carotid artery pulsations had normal strength and upstroke without audible bruits. The lungs were clear to auscultation. Heart sounds were notable for a 3/6 diastolic murmur heard best at the right sternal border. Rate and rhythm were regular, and the apical impulse was sustained but not displaced. The peripheral pulses were present and equal in quality throughout. The findings of the abdominal exam were normal, and the digital rectal examination was negative for occult blood. The findings of the neurologic, musculoskeletal, and dermatologic exams also were normal.
A slightly elevated pulse pressure without a significant difference in upper extremity blood pressure could be a result of aortic regurgitation, sinus of Valsalva rupture, or a high‐cardiac‐output state, as seen in thyrotoxicosis, anemia, or arteriovenous fistula.
The presence of a 3/6 diastolic murmur at the sternal border, however, favors conditions that cause aortic valve regurgitation and, less commonly, pulmonary valve regurgitation, or turbulent flow across the tricuspid valve. The murmur of pulmonary and aortic valve regurgitation can be difficult to distinguish by auscultation; however, the absence of other findings such as a right ventricular heave, elevated jugular venous pressure, or primary lung disease do not support a pulmonary valve etiology. Turbulent flow across the tricuspid valve can be seen in high‐output states, large atrial septal defects, and tricuspid stenosis. This type of murmur is heard best at the lower sternal border and tends to increase with inspiration. An early diastolic murmur would suggest aortic regurgitation, either from aortic valve or aortic root pathology. Aortic regurgitation would contribute to a sustained apical impulse.
Clear lungs and the absence of tachycardia suggest that left ventricle function is not severely compromised. These findings argue against acute rupture of the sinus of Valsalva, a condition that normally causes biventricular failure. The presence of equal peripheral pulses does not exclude the diagnosis of aortic dissection, as the dissection may have occurred proximal to the origins of the right innominate and the left subclavian arteries.
Initial laboratory studies revealed a hematocrit of 34.9, a leukocyte count of 6800/mm3, and a platelet count of 195 000/mm3. The levels of serum electrolytes, serum creatinine, blood urea nitrogen, and initial cardiac enzymes were normal. The urine drug screen was negative. The electrocardiogram showed evidence of left ventricular hypertrophy (Figure 1), and portable chest radiography revealed an enlarged cardiac silhouette and a widened mediastinum (Figure 2).


The presence of a widened mediastinum is consistent with aortic dissection but may also suggest a mass, aortic aneurysm, infiltrative disease, or a collection of fluid (eg, blood). A normal level of cardiac enzymes and the absence of ischemic findings on electrocardiography make myocardial infarction less likely. Given his hemodynamic stability, he is unlikely to have suffered cardiac rupture; however, he may still have a dissection of the aorta or a rupture of the sinus of Valsalva. The slight decline in hematocrit is compatible with either a mediastinal or pericardial collection of blood.
The patient was emergently sent for computerized axial tomography of the chest, which revealed a dilated aortic root at 6 cm but no evidence of aortic dissection (Figure 3). The lung fields were normal.

Despite a negative test, the presence of severe acute chest pain in the presence of a widened mediastinum is still concerning for aortic dissection. If the dissection involved the aortic valve annulus, the resulting acute regurgitation can not be severe, given the absence of left ventricular heart failure. Likewise, the presence of normal lung fields suggests the patient has no acute elevation of left ventricular end diastolic pressures such as is seen in ventricle septal defect, papillary muscle dysfunction, or acute mitral valvular lesion.
Cardiology consultants were emergently consulted and performed a transesophageal echocardiogram that confirmed a dilated aortic root (6.3 cm) without evidence of dissection. The patient was noted to have moderate to severe aortic regurgitation and a dilated left ventricle with moderate hypertrophy. A trace effusion was noted, and the left ventricular ejection fraction was estimated to be 50%.
The presence of moderate to severe aortic regurgitation with a dilated aortic root suggests 3 possibilities: undiagnosed dissection of the aortic root with preexisting aortic insufficiency (eg, bicuspid aortic valve, rheumatic valve disease, previous endocarditis); infectious (eg, syphilitic) or noninfectious (eg, ankylosing spondylitis, Takayasu's arteritis) meso‐aortitis causing aortic dilatation and subsequent regurgitation; or, finally, connective tissue diseases (eg, Marfan's syndrome, Ehlers‐Danlos), which can cause premature degeneration of the aortic media. The acuity of the patient's symptoms and the lack of systemic findings make a connective tissue or inflammatory disease unlikely. The clinical index of suspicion for aortic dissection needs to remain very high, as failure to make an expedient diagnosis may lead to complications and a deleterious outcome. Aortography may help to define this lesion.
The cardiothoracic surgical team was consulted and recommended aortic root and valve replacement. The patient was observed overnight and scheduled for preoperative cardiac catheterization the following morning. Aortogram revealed moderate to severe aortic insufficiency and a small dissection flap on the lesser curvature of the aorta, above the left coronary ostia (Figure 4). Coronary angiography revealed a 50% stenosis of the ostia of the first and second diagonal arteries, with no other flow‐limiting lesions.

The study has clearly demonstrated that the patient suffered an acute aortic dissection without involvement of the aortic annulus. Given the absence of left ventricular failure, it appears the aortic regurgitation was chronic and secondary to a previously existing aortic aneurysm. Asymptomatic congenital defects of the meso‐aorta such as cystic medical necrosis can predispose to aortic dissection at a relatively young age. However, this patient's condition may have been aggravated by drug abuse, paroxysmal elevation of blood pressure during landscaping, or other risk factors. Surgical correction of the dissection and aortic regurgitation is necessary.
The patient underwent aortic valve replacement with a 25‐mm St. Jude mechanical valve and an ascending aortic transection repair with a 32‐mm Dacron tube graft. On postoperative day 9, the patient was discharged home in stable condition.
COMMENTARY
Ensuring both accuracy and efficiency when making a diagnosis can be difficult, particularly when patients present in an atypical fashion or when diagnostic testing yields inconclusive results. Thus, a physician must sift through each clinical clue, remembering that although certain findings are pathognomonic for a disease process, a constellation of signs and symptoms when present can be equally diagnostic.
The initial likelihood of disease (ie, pretest probability) is generated by the history and physical and laboratory examinations. If the pretest probability is high and the subsequent diagnostic test is positive, the modified likelihood of disease (post‐test probability) is nearly 100%. If, however, the pretest probability is high and the diagnostic test is negative, the likelihood of disease is less clear. In these situations, the physician can either review the initial findings that generated the pretest probability or perform an additional diagnostic test of higher sensitivity.
In this exercise, a 46‐year‐old man presented to the emergency department with severe chest pain and findings characteristic of aortic dissection. The physicians appropriately sent him for chest computerized tomography (CT) because of a high pretest likelihood of aortic dissection. Because this test did not confirm the presence of aortic dissection, the patient underwent transesophageal echocardiography (TEE), a test of equal or greater sensitivity.1, 2 This test was also negative; however, a small dissection flap was subsequently found during cardiac catheterization. In this case, a test of lower sensitivity and specificity confirmed the diagnosis of dissection,3 demonstrating the possibility that either CT or TEE can be misinterpreted. Indeed, a final review of the TEE, showed the dissection flap, albeit small, had been missed. In this case, a diagnostic error was made that delayed the diagnosis when sufficient information was available earlier. Diagnostic errors are prevalent in medical practice and are commonly the result of numerous factors, though cognitive problems appear to be the largest contributor to this process.4 In particular, faulty synthesis of information, rather than inadequate medical knowledge, is the most common cause of cognitive medical errors. The error made in this case likely falls under the subcategory of faulty test detection or perception and subsequent premature closure (failure to consider other possibilities once an initial diagnosis of uncomplicated aortic aneurysm had been reached).4
Though medical errors cannot be completely eliminated, cases such as this should be reviewed to understand the cognitive processes that may lead to an erroneous diagnosis. In addition to the false‐negative TEE finding, this patient also had a coexisting condition that may have preoccupied the medical team. The thoracic aortic aneurysm seen by all imaging modalities was large and required intervention regardless of the presence of a dissection. However, this chronic condition became the focus of treatment, and the acute event that precipitated admission was missed. Perhaps if the primary team maintained a very high index of suspicion for dissection and conveyed this to the cardiology consultants, a meticulous review of the TEE would have then followed that may have uncovered the subtle findings of the dissection flap.
Fortunately, definitive treatment with surgical aortic root and valve replacement was performed in a timely manner, as the consequences of a delayed diagnosis in this situation could have been catastrophic. The mortality rate of a type A dissection is extremely high initially (1%‐2% per hour),5, 6 and thus surgical intervention is typically performed immediately after the diagnosis and the extent of this disease is established, rather than the following morning.7
This case highlights not only the problems resulting in diagnostic errors but also exemplifies the thought process required to make a challenging diagnosis. Our case discussant was able to avoid cognitive pitfalls by presenting a broad differential diagnosis and reevaluating the diagnosis with each additional piece of information provided.8 An experienced clinician should realize that patients with an extremely high pretest probability of disease and a negative diagnostic test should be further investigated, regardless of the test sensitivity. Furthermore, time‐honored methods such as history taking, physical examination. and thoughtful analyses should remain critical tools in the process of reaching an accurate diagnosis despite technological advances in diagnostic testing.
- The diagnosis of thoracic aortic dissection by noninvasive imaging procedures.N Engl J Med.1993;328(1):1–9. , , , et al.
- Accuracy of biplane and multiplane transesophageal echocardiography in diagnosis of typical acute aortic dissection and intramural hematoma.J Am Coll Cardiol.1996;28:627–636. , , , et al.
- Aortic dissection: new frontiers in diagnosis and management: Part I: from etiology to diagnostic strategies.Circulation.2003;108:628–635. , .
- Diagnostic error in internal medicine.Arch Intern Med.2005;165:1493–1499. , , .
- Dissecting aneurysm of the aorta: a review of 505 cases.Medicine (Baltimore).1958;37(3):217–279. , , .
- The International Registry of Acute Aortic Dissection (IRAD): new insights into an old disease.JAMA.2000;283:897–903. , , , et al.
- Surgery of the thoracic aorta.N Engl J Med.1997;336:1876–1888. , .
- Clinical reasoning in medicine. In:Higgs J,Jones MA, eds.Clinical Reasoning in the Health Professions.Woburn, Mass:Butterworth‐Heinemann;1995:49–59. .
A 46‐year‐old African American man presented to the emergency department with severe chest pain that awakened him from sleep. The pain was substernal, radiated to the neck and back, and was continuous, lasting approximately 1 hour. It was associated with nausea, diaphoresis, and dizziness. The patient denied dyspnea, orthopnea, paroxysmal nocturnal dyspnea, dysphagia, odynophagia, vomiting, fever, chills, or headache. He denied recent recreational drug use. He works as a landscaper.
Substernal chest pain radiating to the neck and back implicates structures in the middle mediastinum, chiefly the heart, aorta, esophagus, pulmonary arteries, and mediastinal pleura. The presence of nausea and diaphoresis suggests a vagal response to pain.
The sudden onset of symptoms and the lack of fevers and chills make infectious causes in the mediastinum such as mediastinitis and pneumonia less likely. Acute pulmonary embolism often presents with pleuritic pain and dyspnea, features not present in this patient.
The absence of odynophagia and dysphagia makes esophageal rupture or perforation of esophageal diverticula unlikely. Likewise, the absence of dyspnea, orthopnea, and paroxysmal nocturnal dyspnea makes it unlikely to be acute left ventricular failure from a sudden rise in left atrial pressure. Such a scenario may occur in the setting of a myocardial infarction or rupture of a papillary muscle, chordae tendineae, or sinus of Valsalva.
Dissection of the aorta with or without involvement of the aortic root merits strong consideration. Dissection involving the carotid or vertebral arteries could explain the patient's dizziness. Physical stresses in a landscaper may contribute to elevation in blood pressure and set the stage for an aortic dissection, especially with other risk factors.
The patient has a history of a positive PPD and was treated with isoniazid for 6 months. His mother had a history of hypertension and died from a myocardial infarction at age 64. His father's medical history is unknown. He has a history of alcohol abuse but has been abstinent for more than a year. He smoked marijuana and tobacco occasionally, with a 15 pack‐year cigarette history. He also stated that the last time he used cocaine was 1 year prior to admission.
That his mother succumbed to a myocardial infarction as well as having been hypertensive could be important family history risk factors given the patient's symptoms. Furthermore, the concurrent use of alcohol and tobacco by the patient increases his risk of developing severe hypertension. The use of cocaine is associated with sudden elevations in systemic blood pressure, which predispose to intimal damage in the aorta, especially if other risk factors are present. Marijuana smoking has been implicated in pulmonary aspergillosis, but this sudden presentation in the absence of pulmonary symptoms makes it most unlikely. Optimal therapy of a positive PPD should not predispose the patient to acute exudative pericarditis. Thus far the features suggest an acute vascular episode without significant compromise of cardiac output.
The patient was alert and in mild distress from chest discomfort. He was afebrile, with a blood pressure of 136/64 in the right arm and 139/63 in the left arm. Heart rate was 60 beats per minute, and the respiratory rate was 12 beats per minute, with an oxygen saturation of 99% while breathing room air. Examination of the head and neck revealed no signs of trauma. Jugular venous waveforms were normal, and carotid artery pulsations had normal strength and upstroke without audible bruits. The lungs were clear to auscultation. Heart sounds were notable for a 3/6 diastolic murmur heard best at the right sternal border. Rate and rhythm were regular, and the apical impulse was sustained but not displaced. The peripheral pulses were present and equal in quality throughout. The findings of the abdominal exam were normal, and the digital rectal examination was negative for occult blood. The findings of the neurologic, musculoskeletal, and dermatologic exams also were normal.
A slightly elevated pulse pressure without a significant difference in upper extremity blood pressure could be a result of aortic regurgitation, sinus of Valsalva rupture, or a high‐cardiac‐output state, as seen in thyrotoxicosis, anemia, or arteriovenous fistula.
The presence of a 3/6 diastolic murmur at the sternal border, however, favors conditions that cause aortic valve regurgitation and, less commonly, pulmonary valve regurgitation, or turbulent flow across the tricuspid valve. The murmur of pulmonary and aortic valve regurgitation can be difficult to distinguish by auscultation; however, the absence of other findings such as a right ventricular heave, elevated jugular venous pressure, or primary lung disease do not support a pulmonary valve etiology. Turbulent flow across the tricuspid valve can be seen in high‐output states, large atrial septal defects, and tricuspid stenosis. This type of murmur is heard best at the lower sternal border and tends to increase with inspiration. An early diastolic murmur would suggest aortic regurgitation, either from aortic valve or aortic root pathology. Aortic regurgitation would contribute to a sustained apical impulse.
Clear lungs and the absence of tachycardia suggest that left ventricle function is not severely compromised. These findings argue against acute rupture of the sinus of Valsalva, a condition that normally causes biventricular failure. The presence of equal peripheral pulses does not exclude the diagnosis of aortic dissection, as the dissection may have occurred proximal to the origins of the right innominate and the left subclavian arteries.
Initial laboratory studies revealed a hematocrit of 34.9, a leukocyte count of 6800/mm3, and a platelet count of 195 000/mm3. The levels of serum electrolytes, serum creatinine, blood urea nitrogen, and initial cardiac enzymes were normal. The urine drug screen was negative. The electrocardiogram showed evidence of left ventricular hypertrophy (Figure 1), and portable chest radiography revealed an enlarged cardiac silhouette and a widened mediastinum (Figure 2).


The presence of a widened mediastinum is consistent with aortic dissection but may also suggest a mass, aortic aneurysm, infiltrative disease, or a collection of fluid (eg, blood). A normal level of cardiac enzymes and the absence of ischemic findings on electrocardiography make myocardial infarction less likely. Given his hemodynamic stability, he is unlikely to have suffered cardiac rupture; however, he may still have a dissection of the aorta or a rupture of the sinus of Valsalva. The slight decline in hematocrit is compatible with either a mediastinal or pericardial collection of blood.
The patient was emergently sent for computerized axial tomography of the chest, which revealed a dilated aortic root at 6 cm but no evidence of aortic dissection (Figure 3). The lung fields were normal.

Despite a negative test, the presence of severe acute chest pain in the presence of a widened mediastinum is still concerning for aortic dissection. If the dissection involved the aortic valve annulus, the resulting acute regurgitation can not be severe, given the absence of left ventricular heart failure. Likewise, the presence of normal lung fields suggests the patient has no acute elevation of left ventricular end diastolic pressures such as is seen in ventricle septal defect, papillary muscle dysfunction, or acute mitral valvular lesion.
Cardiology consultants were emergently consulted and performed a transesophageal echocardiogram that confirmed a dilated aortic root (6.3 cm) without evidence of dissection. The patient was noted to have moderate to severe aortic regurgitation and a dilated left ventricle with moderate hypertrophy. A trace effusion was noted, and the left ventricular ejection fraction was estimated to be 50%.
The presence of moderate to severe aortic regurgitation with a dilated aortic root suggests 3 possibilities: undiagnosed dissection of the aortic root with preexisting aortic insufficiency (eg, bicuspid aortic valve, rheumatic valve disease, previous endocarditis); infectious (eg, syphilitic) or noninfectious (eg, ankylosing spondylitis, Takayasu's arteritis) meso‐aortitis causing aortic dilatation and subsequent regurgitation; or, finally, connective tissue diseases (eg, Marfan's syndrome, Ehlers‐Danlos), which can cause premature degeneration of the aortic media. The acuity of the patient's symptoms and the lack of systemic findings make a connective tissue or inflammatory disease unlikely. The clinical index of suspicion for aortic dissection needs to remain very high, as failure to make an expedient diagnosis may lead to complications and a deleterious outcome. Aortography may help to define this lesion.
The cardiothoracic surgical team was consulted and recommended aortic root and valve replacement. The patient was observed overnight and scheduled for preoperative cardiac catheterization the following morning. Aortogram revealed moderate to severe aortic insufficiency and a small dissection flap on the lesser curvature of the aorta, above the left coronary ostia (Figure 4). Coronary angiography revealed a 50% stenosis of the ostia of the first and second diagonal arteries, with no other flow‐limiting lesions.

The study has clearly demonstrated that the patient suffered an acute aortic dissection without involvement of the aortic annulus. Given the absence of left ventricular failure, it appears the aortic regurgitation was chronic and secondary to a previously existing aortic aneurysm. Asymptomatic congenital defects of the meso‐aorta such as cystic medical necrosis can predispose to aortic dissection at a relatively young age. However, this patient's condition may have been aggravated by drug abuse, paroxysmal elevation of blood pressure during landscaping, or other risk factors. Surgical correction of the dissection and aortic regurgitation is necessary.
The patient underwent aortic valve replacement with a 25‐mm St. Jude mechanical valve and an ascending aortic transection repair with a 32‐mm Dacron tube graft. On postoperative day 9, the patient was discharged home in stable condition.
COMMENTARY
Ensuring both accuracy and efficiency when making a diagnosis can be difficult, particularly when patients present in an atypical fashion or when diagnostic testing yields inconclusive results. Thus, a physician must sift through each clinical clue, remembering that although certain findings are pathognomonic for a disease process, a constellation of signs and symptoms when present can be equally diagnostic.
The initial likelihood of disease (ie, pretest probability) is generated by the history and physical and laboratory examinations. If the pretest probability is high and the subsequent diagnostic test is positive, the modified likelihood of disease (post‐test probability) is nearly 100%. If, however, the pretest probability is high and the diagnostic test is negative, the likelihood of disease is less clear. In these situations, the physician can either review the initial findings that generated the pretest probability or perform an additional diagnostic test of higher sensitivity.
In this exercise, a 46‐year‐old man presented to the emergency department with severe chest pain and findings characteristic of aortic dissection. The physicians appropriately sent him for chest computerized tomography (CT) because of a high pretest likelihood of aortic dissection. Because this test did not confirm the presence of aortic dissection, the patient underwent transesophageal echocardiography (TEE), a test of equal or greater sensitivity.1, 2 This test was also negative; however, a small dissection flap was subsequently found during cardiac catheterization. In this case, a test of lower sensitivity and specificity confirmed the diagnosis of dissection,3 demonstrating the possibility that either CT or TEE can be misinterpreted. Indeed, a final review of the TEE, showed the dissection flap, albeit small, had been missed. In this case, a diagnostic error was made that delayed the diagnosis when sufficient information was available earlier. Diagnostic errors are prevalent in medical practice and are commonly the result of numerous factors, though cognitive problems appear to be the largest contributor to this process.4 In particular, faulty synthesis of information, rather than inadequate medical knowledge, is the most common cause of cognitive medical errors. The error made in this case likely falls under the subcategory of faulty test detection or perception and subsequent premature closure (failure to consider other possibilities once an initial diagnosis of uncomplicated aortic aneurysm had been reached).4
Though medical errors cannot be completely eliminated, cases such as this should be reviewed to understand the cognitive processes that may lead to an erroneous diagnosis. In addition to the false‐negative TEE finding, this patient also had a coexisting condition that may have preoccupied the medical team. The thoracic aortic aneurysm seen by all imaging modalities was large and required intervention regardless of the presence of a dissection. However, this chronic condition became the focus of treatment, and the acute event that precipitated admission was missed. Perhaps if the primary team maintained a very high index of suspicion for dissection and conveyed this to the cardiology consultants, a meticulous review of the TEE would have then followed that may have uncovered the subtle findings of the dissection flap.
Fortunately, definitive treatment with surgical aortic root and valve replacement was performed in a timely manner, as the consequences of a delayed diagnosis in this situation could have been catastrophic. The mortality rate of a type A dissection is extremely high initially (1%‐2% per hour),5, 6 and thus surgical intervention is typically performed immediately after the diagnosis and the extent of this disease is established, rather than the following morning.7
This case highlights not only the problems resulting in diagnostic errors but also exemplifies the thought process required to make a challenging diagnosis. Our case discussant was able to avoid cognitive pitfalls by presenting a broad differential diagnosis and reevaluating the diagnosis with each additional piece of information provided.8 An experienced clinician should realize that patients with an extremely high pretest probability of disease and a negative diagnostic test should be further investigated, regardless of the test sensitivity. Furthermore, time‐honored methods such as history taking, physical examination. and thoughtful analyses should remain critical tools in the process of reaching an accurate diagnosis despite technological advances in diagnostic testing.
A 46‐year‐old African American man presented to the emergency department with severe chest pain that awakened him from sleep. The pain was substernal, radiated to the neck and back, and was continuous, lasting approximately 1 hour. It was associated with nausea, diaphoresis, and dizziness. The patient denied dyspnea, orthopnea, paroxysmal nocturnal dyspnea, dysphagia, odynophagia, vomiting, fever, chills, or headache. He denied recent recreational drug use. He works as a landscaper.
Substernal chest pain radiating to the neck and back implicates structures in the middle mediastinum, chiefly the heart, aorta, esophagus, pulmonary arteries, and mediastinal pleura. The presence of nausea and diaphoresis suggests a vagal response to pain.
The sudden onset of symptoms and the lack of fevers and chills make infectious causes in the mediastinum such as mediastinitis and pneumonia less likely. Acute pulmonary embolism often presents with pleuritic pain and dyspnea, features not present in this patient.
The absence of odynophagia and dysphagia makes esophageal rupture or perforation of esophageal diverticula unlikely. Likewise, the absence of dyspnea, orthopnea, and paroxysmal nocturnal dyspnea makes it unlikely to be acute left ventricular failure from a sudden rise in left atrial pressure. Such a scenario may occur in the setting of a myocardial infarction or rupture of a papillary muscle, chordae tendineae, or sinus of Valsalva.
Dissection of the aorta with or without involvement of the aortic root merits strong consideration. Dissection involving the carotid or vertebral arteries could explain the patient's dizziness. Physical stresses in a landscaper may contribute to elevation in blood pressure and set the stage for an aortic dissection, especially with other risk factors.
The patient has a history of a positive PPD and was treated with isoniazid for 6 months. His mother had a history of hypertension and died from a myocardial infarction at age 64. His father's medical history is unknown. He has a history of alcohol abuse but has been abstinent for more than a year. He smoked marijuana and tobacco occasionally, with a 15 pack‐year cigarette history. He also stated that the last time he used cocaine was 1 year prior to admission.
That his mother succumbed to a myocardial infarction as well as having been hypertensive could be important family history risk factors given the patient's symptoms. Furthermore, the concurrent use of alcohol and tobacco by the patient increases his risk of developing severe hypertension. The use of cocaine is associated with sudden elevations in systemic blood pressure, which predispose to intimal damage in the aorta, especially if other risk factors are present. Marijuana smoking has been implicated in pulmonary aspergillosis, but this sudden presentation in the absence of pulmonary symptoms makes it most unlikely. Optimal therapy of a positive PPD should not predispose the patient to acute exudative pericarditis. Thus far the features suggest an acute vascular episode without significant compromise of cardiac output.
The patient was alert and in mild distress from chest discomfort. He was afebrile, with a blood pressure of 136/64 in the right arm and 139/63 in the left arm. Heart rate was 60 beats per minute, and the respiratory rate was 12 beats per minute, with an oxygen saturation of 99% while breathing room air. Examination of the head and neck revealed no signs of trauma. Jugular venous waveforms were normal, and carotid artery pulsations had normal strength and upstroke without audible bruits. The lungs were clear to auscultation. Heart sounds were notable for a 3/6 diastolic murmur heard best at the right sternal border. Rate and rhythm were regular, and the apical impulse was sustained but not displaced. The peripheral pulses were present and equal in quality throughout. The findings of the abdominal exam were normal, and the digital rectal examination was negative for occult blood. The findings of the neurologic, musculoskeletal, and dermatologic exams also were normal.
A slightly elevated pulse pressure without a significant difference in upper extremity blood pressure could be a result of aortic regurgitation, sinus of Valsalva rupture, or a high‐cardiac‐output state, as seen in thyrotoxicosis, anemia, or arteriovenous fistula.
The presence of a 3/6 diastolic murmur at the sternal border, however, favors conditions that cause aortic valve regurgitation and, less commonly, pulmonary valve regurgitation, or turbulent flow across the tricuspid valve. The murmur of pulmonary and aortic valve regurgitation can be difficult to distinguish by auscultation; however, the absence of other findings such as a right ventricular heave, elevated jugular venous pressure, or primary lung disease do not support a pulmonary valve etiology. Turbulent flow across the tricuspid valve can be seen in high‐output states, large atrial septal defects, and tricuspid stenosis. This type of murmur is heard best at the lower sternal border and tends to increase with inspiration. An early diastolic murmur would suggest aortic regurgitation, either from aortic valve or aortic root pathology. Aortic regurgitation would contribute to a sustained apical impulse.
Clear lungs and the absence of tachycardia suggest that left ventricle function is not severely compromised. These findings argue against acute rupture of the sinus of Valsalva, a condition that normally causes biventricular failure. The presence of equal peripheral pulses does not exclude the diagnosis of aortic dissection, as the dissection may have occurred proximal to the origins of the right innominate and the left subclavian arteries.
Initial laboratory studies revealed a hematocrit of 34.9, a leukocyte count of 6800/mm3, and a platelet count of 195 000/mm3. The levels of serum electrolytes, serum creatinine, blood urea nitrogen, and initial cardiac enzymes were normal. The urine drug screen was negative. The electrocardiogram showed evidence of left ventricular hypertrophy (Figure 1), and portable chest radiography revealed an enlarged cardiac silhouette and a widened mediastinum (Figure 2).


The presence of a widened mediastinum is consistent with aortic dissection but may also suggest a mass, aortic aneurysm, infiltrative disease, or a collection of fluid (eg, blood). A normal level of cardiac enzymes and the absence of ischemic findings on electrocardiography make myocardial infarction less likely. Given his hemodynamic stability, he is unlikely to have suffered cardiac rupture; however, he may still have a dissection of the aorta or a rupture of the sinus of Valsalva. The slight decline in hematocrit is compatible with either a mediastinal or pericardial collection of blood.
The patient was emergently sent for computerized axial tomography of the chest, which revealed a dilated aortic root at 6 cm but no evidence of aortic dissection (Figure 3). The lung fields were normal.

Despite a negative test, the presence of severe acute chest pain in the presence of a widened mediastinum is still concerning for aortic dissection. If the dissection involved the aortic valve annulus, the resulting acute regurgitation can not be severe, given the absence of left ventricular heart failure. Likewise, the presence of normal lung fields suggests the patient has no acute elevation of left ventricular end diastolic pressures such as is seen in ventricle septal defect, papillary muscle dysfunction, or acute mitral valvular lesion.
Cardiology consultants were emergently consulted and performed a transesophageal echocardiogram that confirmed a dilated aortic root (6.3 cm) without evidence of dissection. The patient was noted to have moderate to severe aortic regurgitation and a dilated left ventricle with moderate hypertrophy. A trace effusion was noted, and the left ventricular ejection fraction was estimated to be 50%.
The presence of moderate to severe aortic regurgitation with a dilated aortic root suggests 3 possibilities: undiagnosed dissection of the aortic root with preexisting aortic insufficiency (eg, bicuspid aortic valve, rheumatic valve disease, previous endocarditis); infectious (eg, syphilitic) or noninfectious (eg, ankylosing spondylitis, Takayasu's arteritis) meso‐aortitis causing aortic dilatation and subsequent regurgitation; or, finally, connective tissue diseases (eg, Marfan's syndrome, Ehlers‐Danlos), which can cause premature degeneration of the aortic media. The acuity of the patient's symptoms and the lack of systemic findings make a connective tissue or inflammatory disease unlikely. The clinical index of suspicion for aortic dissection needs to remain very high, as failure to make an expedient diagnosis may lead to complications and a deleterious outcome. Aortography may help to define this lesion.
The cardiothoracic surgical team was consulted and recommended aortic root and valve replacement. The patient was observed overnight and scheduled for preoperative cardiac catheterization the following morning. Aortogram revealed moderate to severe aortic insufficiency and a small dissection flap on the lesser curvature of the aorta, above the left coronary ostia (Figure 4). Coronary angiography revealed a 50% stenosis of the ostia of the first and second diagonal arteries, with no other flow‐limiting lesions.

The study has clearly demonstrated that the patient suffered an acute aortic dissection without involvement of the aortic annulus. Given the absence of left ventricular failure, it appears the aortic regurgitation was chronic and secondary to a previously existing aortic aneurysm. Asymptomatic congenital defects of the meso‐aorta such as cystic medical necrosis can predispose to aortic dissection at a relatively young age. However, this patient's condition may have been aggravated by drug abuse, paroxysmal elevation of blood pressure during landscaping, or other risk factors. Surgical correction of the dissection and aortic regurgitation is necessary.
The patient underwent aortic valve replacement with a 25‐mm St. Jude mechanical valve and an ascending aortic transection repair with a 32‐mm Dacron tube graft. On postoperative day 9, the patient was discharged home in stable condition.
COMMENTARY
Ensuring both accuracy and efficiency when making a diagnosis can be difficult, particularly when patients present in an atypical fashion or when diagnostic testing yields inconclusive results. Thus, a physician must sift through each clinical clue, remembering that although certain findings are pathognomonic for a disease process, a constellation of signs and symptoms when present can be equally diagnostic.
The initial likelihood of disease (ie, pretest probability) is generated by the history and physical and laboratory examinations. If the pretest probability is high and the subsequent diagnostic test is positive, the modified likelihood of disease (post‐test probability) is nearly 100%. If, however, the pretest probability is high and the diagnostic test is negative, the likelihood of disease is less clear. In these situations, the physician can either review the initial findings that generated the pretest probability or perform an additional diagnostic test of higher sensitivity.
In this exercise, a 46‐year‐old man presented to the emergency department with severe chest pain and findings characteristic of aortic dissection. The physicians appropriately sent him for chest computerized tomography (CT) because of a high pretest likelihood of aortic dissection. Because this test did not confirm the presence of aortic dissection, the patient underwent transesophageal echocardiography (TEE), a test of equal or greater sensitivity.1, 2 This test was also negative; however, a small dissection flap was subsequently found during cardiac catheterization. In this case, a test of lower sensitivity and specificity confirmed the diagnosis of dissection,3 demonstrating the possibility that either CT or TEE can be misinterpreted. Indeed, a final review of the TEE, showed the dissection flap, albeit small, had been missed. In this case, a diagnostic error was made that delayed the diagnosis when sufficient information was available earlier. Diagnostic errors are prevalent in medical practice and are commonly the result of numerous factors, though cognitive problems appear to be the largest contributor to this process.4 In particular, faulty synthesis of information, rather than inadequate medical knowledge, is the most common cause of cognitive medical errors. The error made in this case likely falls under the subcategory of faulty test detection or perception and subsequent premature closure (failure to consider other possibilities once an initial diagnosis of uncomplicated aortic aneurysm had been reached).4
Though medical errors cannot be completely eliminated, cases such as this should be reviewed to understand the cognitive processes that may lead to an erroneous diagnosis. In addition to the false‐negative TEE finding, this patient also had a coexisting condition that may have preoccupied the medical team. The thoracic aortic aneurysm seen by all imaging modalities was large and required intervention regardless of the presence of a dissection. However, this chronic condition became the focus of treatment, and the acute event that precipitated admission was missed. Perhaps if the primary team maintained a very high index of suspicion for dissection and conveyed this to the cardiology consultants, a meticulous review of the TEE would have then followed that may have uncovered the subtle findings of the dissection flap.
Fortunately, definitive treatment with surgical aortic root and valve replacement was performed in a timely manner, as the consequences of a delayed diagnosis in this situation could have been catastrophic. The mortality rate of a type A dissection is extremely high initially (1%‐2% per hour),5, 6 and thus surgical intervention is typically performed immediately after the diagnosis and the extent of this disease is established, rather than the following morning.7
This case highlights not only the problems resulting in diagnostic errors but also exemplifies the thought process required to make a challenging diagnosis. Our case discussant was able to avoid cognitive pitfalls by presenting a broad differential diagnosis and reevaluating the diagnosis with each additional piece of information provided.8 An experienced clinician should realize that patients with an extremely high pretest probability of disease and a negative diagnostic test should be further investigated, regardless of the test sensitivity. Furthermore, time‐honored methods such as history taking, physical examination. and thoughtful analyses should remain critical tools in the process of reaching an accurate diagnosis despite technological advances in diagnostic testing.
- The diagnosis of thoracic aortic dissection by noninvasive imaging procedures.N Engl J Med.1993;328(1):1–9. , , , et al.
- Accuracy of biplane and multiplane transesophageal echocardiography in diagnosis of typical acute aortic dissection and intramural hematoma.J Am Coll Cardiol.1996;28:627–636. , , , et al.
- Aortic dissection: new frontiers in diagnosis and management: Part I: from etiology to diagnostic strategies.Circulation.2003;108:628–635. , .
- Diagnostic error in internal medicine.Arch Intern Med.2005;165:1493–1499. , , .
- Dissecting aneurysm of the aorta: a review of 505 cases.Medicine (Baltimore).1958;37(3):217–279. , , .
- The International Registry of Acute Aortic Dissection (IRAD): new insights into an old disease.JAMA.2000;283:897–903. , , , et al.
- Surgery of the thoracic aorta.N Engl J Med.1997;336:1876–1888. , .
- Clinical reasoning in medicine. In:Higgs J,Jones MA, eds.Clinical Reasoning in the Health Professions.Woburn, Mass:Butterworth‐Heinemann;1995:49–59. .
- The diagnosis of thoracic aortic dissection by noninvasive imaging procedures.N Engl J Med.1993;328(1):1–9. , , , et al.
- Accuracy of biplane and multiplane transesophageal echocardiography in diagnosis of typical acute aortic dissection and intramural hematoma.J Am Coll Cardiol.1996;28:627–636. , , , et al.
- Aortic dissection: new frontiers in diagnosis and management: Part I: from etiology to diagnostic strategies.Circulation.2003;108:628–635. , .
- Diagnostic error in internal medicine.Arch Intern Med.2005;165:1493–1499. , , .
- Dissecting aneurysm of the aorta: a review of 505 cases.Medicine (Baltimore).1958;37(3):217–279. , , .
- The International Registry of Acute Aortic Dissection (IRAD): new insights into an old disease.JAMA.2000;283:897–903. , , , et al.
- Surgery of the thoracic aorta.N Engl J Med.1997;336:1876–1888. , .
- Clinical reasoning in medicine. In:Higgs J,Jones MA, eds.Clinical Reasoning in the Health Professions.Woburn, Mass:Butterworth‐Heinemann;1995:49–59. .
Pandemic Influenza and the Hospitalist
Background
Influenza viruses are among the most common respiratory viral infections in humans. There are two major types of human influenza viruses, A and B, with influenza A strains responsible for seasonal or pandemic influenza. Influenza illness is characterized by fever, lower respiratory and often upper respiratory symptoms, myalgia, and malaise and occurs seasonally in temperate climates between late fall and early spring. The average flu season in the United States is marked by 30,000‐40,000 deaths, primarily in elderly patients with significant comorbidity and in the very young. Many of these deaths are caused by secondary bacterial pneumonias. Long interpandemic periods, including the current one of almost 40 years, involve minor mutations of the predominant influenza strain from year to year. Typically, adequate time exists to predict the prevailing strain with reasonable accuracy and to tailor a vaccine accordingly. Periodically an influenza pandemic involving a novel influenza strain emerges, attended by greater‐than‐expected morbidity and mortality.
All influenza viruses are subtyped on the basis of two surface glycoproteins. One of these, hemagglutinin (H), is responsible for viral cell entry; whereas the other, neuraminidase (N), facilitates release of the virus from infected cells, thus allowing perpetuation and amplification of infection. Antigenic drift is the ongoing process of genetic mutations that lead to new strains demonstrating variable change in antigenicity and is the basis for the annual updating of vaccine strains. Antigenic shift is the emergence of a novel influenza A subtype among humans, usually as the result of a recombination event. This radical change is necessary but not sufficient to initiate pandemic influenza, with efficient transmission from person to person also a critical feature. Pandemic influenza strains arise in 1 of 2 fashions. Genetic reassortment may occur when a mammalian host (human or porcine) is infected with both an avian and a human influenza virus, with subsequent dramatic movement into human populations, the source of the 1957 and 1968 pandemics. Alternatively, a novel virus may, after sufficient mutation, move directly from the avian population to humans, as appears to have occurred in 1918.
The 1918‐19 Pandemic
Abruptly in 1918, an influenza pandemic of seemingly unprecedented severity swept the world. Although disagreement remains regarding the source of the outbreak (China, the front lines of World War I, and even the United States have all been suggested), within 6‐9 months essentially the entire globe had been affected. Unlike more typical influenza seasons, the virus preferentially infected previously healthy young individuals, with those aged 15‐40 bearing the brunt of the illness. US military training installations, overcrowded with troops staging for service on the European front, played a particularly ill‐fated role in the pandemic as it swept through the United States.
Estimates of the pandemic's worldwide impact on mortality are sketchy at best, but many authorities believe that at least 50 million deaths resulted, with some suggesting a figure as high as 100 million. In the United States the virus was responsible for an estimated 700,000 deaths, with an untold burden of morbidity. Economic and social disruption was the norm in many areas, with widespread closure of businesses and schools and suspension of public gatherings of any kind. Many communities were simply overwhelmed by the sheer numbers of dying individuals. In Philadelphia, steam shovels were used to dig mass graves for influenza victims.1 The pandemic's effect on the health care system was likewise profound. Most hospitals counted their own physicians and nurses among those who died during the pandemic, and many of the health care workers who succumbed were infected in the course of caring for influenza patients. Overall, an estimated 2%‐3% of those infected with the virus died, a far higher percentage than is seen during interpandemic seasons. Strikingly, the vast majority of deaths do not appear to have resulted from secondary bacterial pneumonias, but rather to have been directly virally mediated through ARDS, a necrotizing viral pneumonia, or both.
The mystery of the 1918 pandemic has recently been partially unlocked, with the successful sequencing of the entire RNA genome of strains recovered from pathology tissue of two soldiers, as well as from lung tissue of a victim frozen in Alaskan permafrost since 1918.2, 3 The data suggest that the 1918 virus was derived from an avian source. Notably, some of the same changes in the polymerase proteins have been found in the highly pathogenic H5N1 viruses.
Avian Influenza Viruses
Influenza viruses that primarily infect birds are characterized as avian influenza viruses. These are always type A and are classified as either of low or high pathogenicity on the basis of the severity of the illness they cause in birds. The currently circulating H5N1 avian viruses are highly pathogenic.
Avian influenza viruses do not usually infect humans; however, several instances of human infections have been reported since 1997. The 1997 Hong Kong outbreak of avian (H5N1) influenza in 18 humans resulted in 6 deaths and was a seminal event that provided evidence that avian influenza viruses can infect people. It also provided the epidemiologic link between avian influenza infection in poultry with disease in humans and was proclaimed as a pandemic warning. These sentinel human infections led to the culling of the entire Hong Kong poultry population, with no subsequent human infection reported at that time. In 2003, more than 80 cases of avian influenza A (H7N7) illness occurred in the Netherlands among persons who handled infected poultry. Sustained human‐to‐human transmission did not occur in this or other outbreaks of avian influenza to date.
Since 2003, sporadic human cases of H5N1 have occurred, most recently reported from Turkey and Iraq. Human cases have also occurred in Vietnam, China, Cambodia, Thailand, and Indonesia, with a total of 173 reported cases and a case fatality rate exceeding 50% as of this writing.4 This mortality rate may be artificially inflated, as less severe cases have certainly gone unreported. All countries reporting human avian influenza diseases since 2003 have had concurrent epizoonotics in birds (both poultry and migratory birds).
Human cases of H5N1 influenza illness have been characterized by high fever and symptoms in the lower respiratory tract, as would be expected. Less predictable has been the presence of watery diarrhea in many patients and of abdominal and pleuritic pain and bleeding from the nose and gums in some. Sputum production has been variably present, and hemoptysis has been seen in some individuals. Most patients have had clinical and radiological evidence of pneumonia at the time they sought medical care, and progression to ARDS and multiorgan failure has been common. The majority of patients to date have required the initiation of mechanical ventilation early in their hospital course. Laboratory studies have typically shown lymphopenia, thrombocytopenia, and, in many cases, modestly elevated transaminase levels.5 Notably, the currently predominant strain of H5N1 (Z strain) is resistant to the M2 ion channel inhibitors amantadine and rimantadine but is susceptible to the newer class of neuraminidase inhibitors, zanamivir (Relenza) and oseltamivir (Tamiflu). Neuraminidase inhibitors and corticosteroids have been used to treat patients, although their efficacy in this setting is unclear. To date, virtually all cases appear to have been transmitted directly from poultry, although person‐to‐person transmission appears likely to have occurred in at least one family in Thailand.6 A recent study of the 14 clusters of avian influenza among humans emphasized the lack of sustained person‐to‐person transmission of H5N1 to date.7
Three factors are necessary for the emergence of a pandemic influenza strain: the ability to infect humans, a novel genetic makeup, and the ability for sustained transmission between people. A virus that in addition proves highly virulent, as did the 1918‐19 H1N1 strain, essentially creates the perfect storm. H5N1 influenza has currently fulfilled 2 of these 3 criteria. The virus is highly pathogenic, although how much of this fitness would be sacrificed with mutation to a more transmissible strain is uncertain. As many have observed, whether there will be another influenza pandemic does not seem in doubt; rather, it is when such a pandemic will occur and whether the pandemic will be caused by H5N1 or another influenza virus, that are the questions.
Potential Effects of the Next Pandemic
The global and national effects of an influenza pandemic will vary in direct proportion to the virulence of the circulating viral strain, but if such a virus is highly virulent, significant and perhaps severe economic and social disruption are likely.
The global economic impact has been estimated to be $800 billion with anticipated quarantines and interruption in global trade. On a national level, it has been estimated that in the United States a pandemic virus whose severity is comparable to that of the 1968 Hong Kong influenza pandemic would lead to approximately 200,000 deaths and 700,000 hospitalizations, of which roughly 100,000 would require treatment in intensive care unit settings. A more virulent strain, similar to that of the 1918‐19 pandemic, might easily result in 1 million deaths; with the number of patients hospitalized approaching 10 million, well over 1 million of which would require ICU‐level care. As an estimated 75% of the 105,000 ventilators in this country are in use at any given time under normal circumstances, the potential for demand to greatly outstrip supply is evident.8 Depending on the severity of a pandemic, suspension or curtailment of international trade and travel could be reasonably likely. Although the World Health Organization has recommended against closing borders or quarantining countries even in the throes of a pandemic, the prospect of this occurring does not seem implausible. In a worst‐case scenario, even the type of national and international chaos envisioned in the Dark Winter smallpox planning exercise might occur.9
Fortress America Versus Containment Strategies
Although the pandemic influenza plan calls for stockpiling antiviral drugs and increasing vaccine production capabilities, the most effective plan for pandemic preparedness may involve a surveillance and containment strategy. No country has enough medicines or vaccines to control a widespread outbreak of pandemic avian influenza. The best solution to prevention of a pandemic is stopping any virus from spreading in the first place. Increased surveillance for avian influenza among poultry and migratory birds in key Asian countries, along with provision of funds to compensate farmers for culling of potentially infected flocks, would align incentives for early detection and eradication. Containing an initial outbreak wherever it occurs is the best defense against a pandemic. Notably, China is thought to be a potential hot zone for emergence of pandemic avian influenza. China is not only the most populous nation in the world but has one quarter of the world's chickens, two thirds of the world's domesticated ducks, and 90% of the world's domesticated geese.
The challenges of biosecurity (protecting humans against animal‐borne diseases such as bird flu) in developing countries include the reality that populations living in close proximity to poultry are also the most illiterate and impoverished, with the most limited access to health care. The recent introduction of H5N1 into Europe has heightened surveillance efforts in the United States. The introduction of H5N1 into the United States may occur through movement of migratory birds and/or importation of exotic birds. The surveillance system has been expanded to include sampling for the influenza virus not only in poultry but also in bodies of water, as the virus is shed in bird feces.
Pandemic Planning
In the setting of a severe pandemic, hospitals will face an enormous burden of patients, with a huge influx of individuals requiring both intensive care unit as well as regular nursing floor care. At the local height of such a pandemic, the ability to successfully discharge every patient whose condition will permit this to the community or elsewhere will be critical, and almost certainly hospitals will need to expand to accept more patients than they are normally configured to hold. Hospitals staffs, particularly nurses and physicians, will be required to handle very large patient censuses. Among medical staffs, emergency physicians, hospitalists, critical care specialists, and infectious disease specialists will certainly be called on to play leading roles, much as they were during and in the aftermath of Hurricane Katrina recently. Despite all of the above, the ability of existing hospitals to accommodate all gravely ill patients may be outstripped, and auxiliary hospitals in schools and other public edifices may need to be established. Hospitalists are likely to be called on to play a major role in such temporary hospitals. The frustration and anguish of not being able to provide a standard level of care to patients (for example, being forced to triage which patients are most deserving of mechanical ventilation) should not be underestimated.
Although characterized by a relatively limited number of patients, the 2003 severe acute respiratory syndrome (SARS) outbreak in Toronto, Ontario, Canada, presented some of the same challenges that will be encountered in a virulent influenza pandemic. These include the need to quickly and drastically modify the usual emergency department and inpatient procedures, as hospitals initially serve to amplify the epidemic, as well as the additional stressor of health care workers becoming ill as a result of work‐related exposure. That fewer than 400 cases of SARS pushed the medical system of one of North America's largest cities nearly to its breaking point is both sobering and instructive.10, 11 Interested readers are directed to an excellent summary of lessons learned from the SARS outbreak, most of which are widely applicable to preparations for future infectious epidemics.12
Infection Control
Although the CDC and other Web sites currently recommend airborne isolation (respiratory personal protection) for avian influenza in humans, there is not strong epidemiologic evidence of transmission other than via droplets (the transmission mode of human influenza). The emergence of a limited number of cases of avian influenza in the United States would allow employment of airborne isolation measures; but in the event of a larger outbreak, the use of surgical masks and the practice of good hand hygiene would be sufficient by health care workers caring for persons with suspected or proven disease.
The CDC recently released proposed changes to help prevent disease outbreaks from contacts of those exposed to ill persons on airplanes. Proposed guidelines would require airlines to maintain computerized lists of passengers taken at point of departure in order to facilitate tracking of contacts and implementation of quarantine if necessary. These measures are part of pandemic planning and result from problems in tracking passengers on planes with SARS cases. By executive order, imposition of quarantine is limited to 9 diseases: cholera, diphtheria, smallpox, yellow fever, viral hemorrhagic fevers (eg, Ebola), plague, infectious tuberculosis, SARS and influenza caused by new strains with pandemic potential.
What Can Be Done?
Although valuable time has elapsed to prepare for the possibility of an H5N1 influenza pandemic, the US and global communities are presently taking the threat seriously and are engaging in a variety of activities to prepare for such an eventuality. Although currently available influenza vaccines do not provide any appreciable protection against H5N1, significant work is under way to develop an effective vaccine; with Chiron and sanofi pasteur preparing vaccine trials in association with the National Institute of Allergy and Infectious Diseases. Current influenza vaccine production is hampered by use of obsolete egg‐based manufacturing processes requiring 6 months, along with a limited capacity to manufacture adequate vaccine supplies even in many usual influenza seasons. The herculean task of providing hundreds of millions of doses of vaccine as soon as possible after the emergence of a pandemic strain, as daunting as it is, is further complicated by the fact that a successful H5N1 vaccine would not necessarily be effective against a strain that mutated sufficiently to move efficiently from person to person. Nonetheless, even partially solving these problems will pay dividends, whether or not H5N1 proves to be responsible for the next pandemic.
Given these difficulties with vaccine development and production, the backbone of any successful early response to a pandemic in the near future will be development of an adequate stockpile of antiviral medication, accompanied by a successful plan to distribute the drug when and where disease erupts. Despite uncertainties regarding their effectiveness as well as questions regarding optimal dose and duration in the setting of avian influenza, the neuraminidase inhibitors are the current drugs of choice. Of the 2 currently available agents, oseltamivir is the preferred drug for pandemic use, given its oral administration,. Unfortunately, the ability to manufacture the drug in sufficient quantities to stockpile has thus far proved problematic. Roche, the manufacturer of Tamiflu, has recently opened a new manufacturing plant and has stated that it can increase its current production of 55 million doses per year to 300 million doses by 2007. We do not recommend a role for personal stockpiling of neuraminidase inhibitors. Concerns include a shortage of the drug for seasonal influenza, absence of a pandemic at present, ignorance regarding the efficacy and optimal dose for H5N1, inappropriate use by individuals, and inequitable distribution. Recent case reports of oseltamivir resistance emerging during prophylaxis13 and treatment14 are of potential concern but do not alter current recommendations.
What can be done locally and specifically, and what can hospitalists do to prepare? First, although we are not sure that Dr Michael Osterholm's goal that planning for a pandemic must be on the agenda of every public health agency, school board, manufacturing plant, investment firm, mortuary, state legislature, and food distributor8 is entirely realistic, every hospital clearly needs to include pandemic influenza as a significant part of its disaster preparedness plan. Such planning will have broad overlap with planning for other potential disasters, including bioterrorist attacks, SARS outbreaks, and others. Hospitals must develop a plan for surge capacity, and such a plan should include not only coordination with other local hospitals, but also planning with local communities to identify sites where temporary flu hospitals can be established. Within hospital medicine groups, emergency staffing plans should be established before pandemic influenza (or another disaster) strikes. Such staffing plans need to include the ability to care for a much higher than normal number of patients for an extended period. Conceivably, a large number of patients will need to be manually ventilated for prolonged periods, which of course will tax the resources of any institution. Prompt discharge of all patients stable enough to leave the hospital will be critical, and given the investment of most hospital medicine groups in hospital throughput issues under normal conditions, much of the responsibility for helping to create beds during a crisis will inevitably fall on the shoulders of hospitalists.
Experiences during and shortly after Hurricane Katrina served to underscore that issues such as physical and mental fatigue, concern for the safety of family members, lack of supplies, communication difficulties, and absenteeism all add additional layers of complexity to the task of providing hospital care under extraordinary conditions such as during a natural disaster. These lessons can and should be extended to a major epidemic. This disaster also showed the importance of military involvement in the response to disasters that exceed local and state capabilities. The primary objective of the federal government in responding to disaster is to maintain security and essential services while preventing chaos. A pandemic of virulent influenza will raise the stakes still further, as physicians and nurses become casualties themselves. Despite these challenges, we are confident that the vast majority of hospitalists and other health care workers will rise to the occasion, and just as during the peri‐Katrina period, stories of selflessness and heroism will be de rigueur. Appropriate advance planning on all levels will serve to reduce the morbidity and mortality associated with the next pandemic and will help to ensure that health care workers do not sacrifice needlessly.0
1. World Health Organization (WHO) Website: |
2. Centers for Disease Control and Prevention (CDC): |
3. U.S. Government Avian Influenza Website: |
4. U.S. Department of Health and Human Services Pandemic Influenza Plan: |
5. Infectious Diseases Society of America (IDSA) Website: |
- The Great Influenza.New York, NY:Viking Penguin,2004. .
- Characterization of the 1918 influenza virus polymerase genes.Nature.2005;437:889–893. , , , , , .
- Characterization of the reconstructed 1918 Spanish influenza pandemic virus.Science.2005;310:77–80. , , , et al.
- WHO Epidemic and Pandemic Alert and Response. Confirmed cases of avian influenza A (H5N1). Available at http://www.who.int/csr/disease/avian_influenza/country/en/index.html. Accessed on February 28,2006.
- Writing Committee of the WHO Consultation on Human Influenza A/H5.Avian influenza A (H5N1) infection in humans.N Engl J Med.2005;353:1374–1385.
- Probable person‐to‐person transmission of avian influenza A (H5N1).N Engl J Med.2005;352:333–40. , , , et al.
- Family clustering of avian influenza A (H5N1).EID.2005;11:1799–1801. , , , et al.
- Preparing for the next pandemic.N Engl J Med.2005;352:1839–1842. .
- Center for Biosecurity. Dark Winter overview. Available at http://www.upmc‐biosecurity.org/pages/events/dark_winter/dark_winter.html. Accessed November 28,2005.
- SARS outbreak in the Greater Toronto Area: the emergency department experience.CMAJ.2004;171:1342–1344. , , , et al.
- Severe acute respiratory syndrome and critical care medicine: The Toronto experience.Crit Care Med.2005;33(suppl):S53–S60. , .
- Learning from SARS in Hong Kong and Toronto.JAMA.2004;291:2483–2487. , , .
- Avian flu: Isolation of drug‐resistant H5N1 virus.Nature.2005;438:754. , , , et al.
- Oseltamivir resistance during treatment of influenza A (H5N1) infection.N Engl J Med.2005;353:2667–2672. , , , et al.
Background
Influenza viruses are among the most common respiratory viral infections in humans. There are two major types of human influenza viruses, A and B, with influenza A strains responsible for seasonal or pandemic influenza. Influenza illness is characterized by fever, lower respiratory and often upper respiratory symptoms, myalgia, and malaise and occurs seasonally in temperate climates between late fall and early spring. The average flu season in the United States is marked by 30,000‐40,000 deaths, primarily in elderly patients with significant comorbidity and in the very young. Many of these deaths are caused by secondary bacterial pneumonias. Long interpandemic periods, including the current one of almost 40 years, involve minor mutations of the predominant influenza strain from year to year. Typically, adequate time exists to predict the prevailing strain with reasonable accuracy and to tailor a vaccine accordingly. Periodically an influenza pandemic involving a novel influenza strain emerges, attended by greater‐than‐expected morbidity and mortality.
All influenza viruses are subtyped on the basis of two surface glycoproteins. One of these, hemagglutinin (H), is responsible for viral cell entry; whereas the other, neuraminidase (N), facilitates release of the virus from infected cells, thus allowing perpetuation and amplification of infection. Antigenic drift is the ongoing process of genetic mutations that lead to new strains demonstrating variable change in antigenicity and is the basis for the annual updating of vaccine strains. Antigenic shift is the emergence of a novel influenza A subtype among humans, usually as the result of a recombination event. This radical change is necessary but not sufficient to initiate pandemic influenza, with efficient transmission from person to person also a critical feature. Pandemic influenza strains arise in 1 of 2 fashions. Genetic reassortment may occur when a mammalian host (human or porcine) is infected with both an avian and a human influenza virus, with subsequent dramatic movement into human populations, the source of the 1957 and 1968 pandemics. Alternatively, a novel virus may, after sufficient mutation, move directly from the avian population to humans, as appears to have occurred in 1918.
The 1918‐19 Pandemic
Abruptly in 1918, an influenza pandemic of seemingly unprecedented severity swept the world. Although disagreement remains regarding the source of the outbreak (China, the front lines of World War I, and even the United States have all been suggested), within 6‐9 months essentially the entire globe had been affected. Unlike more typical influenza seasons, the virus preferentially infected previously healthy young individuals, with those aged 15‐40 bearing the brunt of the illness. US military training installations, overcrowded with troops staging for service on the European front, played a particularly ill‐fated role in the pandemic as it swept through the United States.
Estimates of the pandemic's worldwide impact on mortality are sketchy at best, but many authorities believe that at least 50 million deaths resulted, with some suggesting a figure as high as 100 million. In the United States the virus was responsible for an estimated 700,000 deaths, with an untold burden of morbidity. Economic and social disruption was the norm in many areas, with widespread closure of businesses and schools and suspension of public gatherings of any kind. Many communities were simply overwhelmed by the sheer numbers of dying individuals. In Philadelphia, steam shovels were used to dig mass graves for influenza victims.1 The pandemic's effect on the health care system was likewise profound. Most hospitals counted their own physicians and nurses among those who died during the pandemic, and many of the health care workers who succumbed were infected in the course of caring for influenza patients. Overall, an estimated 2%‐3% of those infected with the virus died, a far higher percentage than is seen during interpandemic seasons. Strikingly, the vast majority of deaths do not appear to have resulted from secondary bacterial pneumonias, but rather to have been directly virally mediated through ARDS, a necrotizing viral pneumonia, or both.
The mystery of the 1918 pandemic has recently been partially unlocked, with the successful sequencing of the entire RNA genome of strains recovered from pathology tissue of two soldiers, as well as from lung tissue of a victim frozen in Alaskan permafrost since 1918.2, 3 The data suggest that the 1918 virus was derived from an avian source. Notably, some of the same changes in the polymerase proteins have been found in the highly pathogenic H5N1 viruses.
Avian Influenza Viruses
Influenza viruses that primarily infect birds are characterized as avian influenza viruses. These are always type A and are classified as either of low or high pathogenicity on the basis of the severity of the illness they cause in birds. The currently circulating H5N1 avian viruses are highly pathogenic.
Avian influenza viruses do not usually infect humans; however, several instances of human infections have been reported since 1997. The 1997 Hong Kong outbreak of avian (H5N1) influenza in 18 humans resulted in 6 deaths and was a seminal event that provided evidence that avian influenza viruses can infect people. It also provided the epidemiologic link between avian influenza infection in poultry with disease in humans and was proclaimed as a pandemic warning. These sentinel human infections led to the culling of the entire Hong Kong poultry population, with no subsequent human infection reported at that time. In 2003, more than 80 cases of avian influenza A (H7N7) illness occurred in the Netherlands among persons who handled infected poultry. Sustained human‐to‐human transmission did not occur in this or other outbreaks of avian influenza to date.
Since 2003, sporadic human cases of H5N1 have occurred, most recently reported from Turkey and Iraq. Human cases have also occurred in Vietnam, China, Cambodia, Thailand, and Indonesia, with a total of 173 reported cases and a case fatality rate exceeding 50% as of this writing.4 This mortality rate may be artificially inflated, as less severe cases have certainly gone unreported. All countries reporting human avian influenza diseases since 2003 have had concurrent epizoonotics in birds (both poultry and migratory birds).
Human cases of H5N1 influenza illness have been characterized by high fever and symptoms in the lower respiratory tract, as would be expected. Less predictable has been the presence of watery diarrhea in many patients and of abdominal and pleuritic pain and bleeding from the nose and gums in some. Sputum production has been variably present, and hemoptysis has been seen in some individuals. Most patients have had clinical and radiological evidence of pneumonia at the time they sought medical care, and progression to ARDS and multiorgan failure has been common. The majority of patients to date have required the initiation of mechanical ventilation early in their hospital course. Laboratory studies have typically shown lymphopenia, thrombocytopenia, and, in many cases, modestly elevated transaminase levels.5 Notably, the currently predominant strain of H5N1 (Z strain) is resistant to the M2 ion channel inhibitors amantadine and rimantadine but is susceptible to the newer class of neuraminidase inhibitors, zanamivir (Relenza) and oseltamivir (Tamiflu). Neuraminidase inhibitors and corticosteroids have been used to treat patients, although their efficacy in this setting is unclear. To date, virtually all cases appear to have been transmitted directly from poultry, although person‐to‐person transmission appears likely to have occurred in at least one family in Thailand.6 A recent study of the 14 clusters of avian influenza among humans emphasized the lack of sustained person‐to‐person transmission of H5N1 to date.7
Three factors are necessary for the emergence of a pandemic influenza strain: the ability to infect humans, a novel genetic makeup, and the ability for sustained transmission between people. A virus that in addition proves highly virulent, as did the 1918‐19 H1N1 strain, essentially creates the perfect storm. H5N1 influenza has currently fulfilled 2 of these 3 criteria. The virus is highly pathogenic, although how much of this fitness would be sacrificed with mutation to a more transmissible strain is uncertain. As many have observed, whether there will be another influenza pandemic does not seem in doubt; rather, it is when such a pandemic will occur and whether the pandemic will be caused by H5N1 or another influenza virus, that are the questions.
Potential Effects of the Next Pandemic
The global and national effects of an influenza pandemic will vary in direct proportion to the virulence of the circulating viral strain, but if such a virus is highly virulent, significant and perhaps severe economic and social disruption are likely.
The global economic impact has been estimated to be $800 billion with anticipated quarantines and interruption in global trade. On a national level, it has been estimated that in the United States a pandemic virus whose severity is comparable to that of the 1968 Hong Kong influenza pandemic would lead to approximately 200,000 deaths and 700,000 hospitalizations, of which roughly 100,000 would require treatment in intensive care unit settings. A more virulent strain, similar to that of the 1918‐19 pandemic, might easily result in 1 million deaths; with the number of patients hospitalized approaching 10 million, well over 1 million of which would require ICU‐level care. As an estimated 75% of the 105,000 ventilators in this country are in use at any given time under normal circumstances, the potential for demand to greatly outstrip supply is evident.8 Depending on the severity of a pandemic, suspension or curtailment of international trade and travel could be reasonably likely. Although the World Health Organization has recommended against closing borders or quarantining countries even in the throes of a pandemic, the prospect of this occurring does not seem implausible. In a worst‐case scenario, even the type of national and international chaos envisioned in the Dark Winter smallpox planning exercise might occur.9
Fortress America Versus Containment Strategies
Although the pandemic influenza plan calls for stockpiling antiviral drugs and increasing vaccine production capabilities, the most effective plan for pandemic preparedness may involve a surveillance and containment strategy. No country has enough medicines or vaccines to control a widespread outbreak of pandemic avian influenza. The best solution to prevention of a pandemic is stopping any virus from spreading in the first place. Increased surveillance for avian influenza among poultry and migratory birds in key Asian countries, along with provision of funds to compensate farmers for culling of potentially infected flocks, would align incentives for early detection and eradication. Containing an initial outbreak wherever it occurs is the best defense against a pandemic. Notably, China is thought to be a potential hot zone for emergence of pandemic avian influenza. China is not only the most populous nation in the world but has one quarter of the world's chickens, two thirds of the world's domesticated ducks, and 90% of the world's domesticated geese.
The challenges of biosecurity (protecting humans against animal‐borne diseases such as bird flu) in developing countries include the reality that populations living in close proximity to poultry are also the most illiterate and impoverished, with the most limited access to health care. The recent introduction of H5N1 into Europe has heightened surveillance efforts in the United States. The introduction of H5N1 into the United States may occur through movement of migratory birds and/or importation of exotic birds. The surveillance system has been expanded to include sampling for the influenza virus not only in poultry but also in bodies of water, as the virus is shed in bird feces.
Pandemic Planning
In the setting of a severe pandemic, hospitals will face an enormous burden of patients, with a huge influx of individuals requiring both intensive care unit as well as regular nursing floor care. At the local height of such a pandemic, the ability to successfully discharge every patient whose condition will permit this to the community or elsewhere will be critical, and almost certainly hospitals will need to expand to accept more patients than they are normally configured to hold. Hospitals staffs, particularly nurses and physicians, will be required to handle very large patient censuses. Among medical staffs, emergency physicians, hospitalists, critical care specialists, and infectious disease specialists will certainly be called on to play leading roles, much as they were during and in the aftermath of Hurricane Katrina recently. Despite all of the above, the ability of existing hospitals to accommodate all gravely ill patients may be outstripped, and auxiliary hospitals in schools and other public edifices may need to be established. Hospitalists are likely to be called on to play a major role in such temporary hospitals. The frustration and anguish of not being able to provide a standard level of care to patients (for example, being forced to triage which patients are most deserving of mechanical ventilation) should not be underestimated.
Although characterized by a relatively limited number of patients, the 2003 severe acute respiratory syndrome (SARS) outbreak in Toronto, Ontario, Canada, presented some of the same challenges that will be encountered in a virulent influenza pandemic. These include the need to quickly and drastically modify the usual emergency department and inpatient procedures, as hospitals initially serve to amplify the epidemic, as well as the additional stressor of health care workers becoming ill as a result of work‐related exposure. That fewer than 400 cases of SARS pushed the medical system of one of North America's largest cities nearly to its breaking point is both sobering and instructive.10, 11 Interested readers are directed to an excellent summary of lessons learned from the SARS outbreak, most of which are widely applicable to preparations for future infectious epidemics.12
Infection Control
Although the CDC and other Web sites currently recommend airborne isolation (respiratory personal protection) for avian influenza in humans, there is not strong epidemiologic evidence of transmission other than via droplets (the transmission mode of human influenza). The emergence of a limited number of cases of avian influenza in the United States would allow employment of airborne isolation measures; but in the event of a larger outbreak, the use of surgical masks and the practice of good hand hygiene would be sufficient by health care workers caring for persons with suspected or proven disease.
The CDC recently released proposed changes to help prevent disease outbreaks from contacts of those exposed to ill persons on airplanes. Proposed guidelines would require airlines to maintain computerized lists of passengers taken at point of departure in order to facilitate tracking of contacts and implementation of quarantine if necessary. These measures are part of pandemic planning and result from problems in tracking passengers on planes with SARS cases. By executive order, imposition of quarantine is limited to 9 diseases: cholera, diphtheria, smallpox, yellow fever, viral hemorrhagic fevers (eg, Ebola), plague, infectious tuberculosis, SARS and influenza caused by new strains with pandemic potential.
What Can Be Done?
Although valuable time has elapsed to prepare for the possibility of an H5N1 influenza pandemic, the US and global communities are presently taking the threat seriously and are engaging in a variety of activities to prepare for such an eventuality. Although currently available influenza vaccines do not provide any appreciable protection against H5N1, significant work is under way to develop an effective vaccine; with Chiron and sanofi pasteur preparing vaccine trials in association with the National Institute of Allergy and Infectious Diseases. Current influenza vaccine production is hampered by use of obsolete egg‐based manufacturing processes requiring 6 months, along with a limited capacity to manufacture adequate vaccine supplies even in many usual influenza seasons. The herculean task of providing hundreds of millions of doses of vaccine as soon as possible after the emergence of a pandemic strain, as daunting as it is, is further complicated by the fact that a successful H5N1 vaccine would not necessarily be effective against a strain that mutated sufficiently to move efficiently from person to person. Nonetheless, even partially solving these problems will pay dividends, whether or not H5N1 proves to be responsible for the next pandemic.
Given these difficulties with vaccine development and production, the backbone of any successful early response to a pandemic in the near future will be development of an adequate stockpile of antiviral medication, accompanied by a successful plan to distribute the drug when and where disease erupts. Despite uncertainties regarding their effectiveness as well as questions regarding optimal dose and duration in the setting of avian influenza, the neuraminidase inhibitors are the current drugs of choice. Of the 2 currently available agents, oseltamivir is the preferred drug for pandemic use, given its oral administration,. Unfortunately, the ability to manufacture the drug in sufficient quantities to stockpile has thus far proved problematic. Roche, the manufacturer of Tamiflu, has recently opened a new manufacturing plant and has stated that it can increase its current production of 55 million doses per year to 300 million doses by 2007. We do not recommend a role for personal stockpiling of neuraminidase inhibitors. Concerns include a shortage of the drug for seasonal influenza, absence of a pandemic at present, ignorance regarding the efficacy and optimal dose for H5N1, inappropriate use by individuals, and inequitable distribution. Recent case reports of oseltamivir resistance emerging during prophylaxis13 and treatment14 are of potential concern but do not alter current recommendations.
What can be done locally and specifically, and what can hospitalists do to prepare? First, although we are not sure that Dr Michael Osterholm's goal that planning for a pandemic must be on the agenda of every public health agency, school board, manufacturing plant, investment firm, mortuary, state legislature, and food distributor8 is entirely realistic, every hospital clearly needs to include pandemic influenza as a significant part of its disaster preparedness plan. Such planning will have broad overlap with planning for other potential disasters, including bioterrorist attacks, SARS outbreaks, and others. Hospitals must develop a plan for surge capacity, and such a plan should include not only coordination with other local hospitals, but also planning with local communities to identify sites where temporary flu hospitals can be established. Within hospital medicine groups, emergency staffing plans should be established before pandemic influenza (or another disaster) strikes. Such staffing plans need to include the ability to care for a much higher than normal number of patients for an extended period. Conceivably, a large number of patients will need to be manually ventilated for prolonged periods, which of course will tax the resources of any institution. Prompt discharge of all patients stable enough to leave the hospital will be critical, and given the investment of most hospital medicine groups in hospital throughput issues under normal conditions, much of the responsibility for helping to create beds during a crisis will inevitably fall on the shoulders of hospitalists.
Experiences during and shortly after Hurricane Katrina served to underscore that issues such as physical and mental fatigue, concern for the safety of family members, lack of supplies, communication difficulties, and absenteeism all add additional layers of complexity to the task of providing hospital care under extraordinary conditions such as during a natural disaster. These lessons can and should be extended to a major epidemic. This disaster also showed the importance of military involvement in the response to disasters that exceed local and state capabilities. The primary objective of the federal government in responding to disaster is to maintain security and essential services while preventing chaos. A pandemic of virulent influenza will raise the stakes still further, as physicians and nurses become casualties themselves. Despite these challenges, we are confident that the vast majority of hospitalists and other health care workers will rise to the occasion, and just as during the peri‐Katrina period, stories of selflessness and heroism will be de rigueur. Appropriate advance planning on all levels will serve to reduce the morbidity and mortality associated with the next pandemic and will help to ensure that health care workers do not sacrifice needlessly.0
1. World Health Organization (WHO) Website: |
2. Centers for Disease Control and Prevention (CDC): |
3. U.S. Government Avian Influenza Website: |
4. U.S. Department of Health and Human Services Pandemic Influenza Plan: |
5. Infectious Diseases Society of America (IDSA) Website: |
Background
Influenza viruses are among the most common respiratory viral infections in humans. There are two major types of human influenza viruses, A and B, with influenza A strains responsible for seasonal or pandemic influenza. Influenza illness is characterized by fever, lower respiratory and often upper respiratory symptoms, myalgia, and malaise and occurs seasonally in temperate climates between late fall and early spring. The average flu season in the United States is marked by 30,000‐40,000 deaths, primarily in elderly patients with significant comorbidity and in the very young. Many of these deaths are caused by secondary bacterial pneumonias. Long interpandemic periods, including the current one of almost 40 years, involve minor mutations of the predominant influenza strain from year to year. Typically, adequate time exists to predict the prevailing strain with reasonable accuracy and to tailor a vaccine accordingly. Periodically an influenza pandemic involving a novel influenza strain emerges, attended by greater‐than‐expected morbidity and mortality.
All influenza viruses are subtyped on the basis of two surface glycoproteins. One of these, hemagglutinin (H), is responsible for viral cell entry; whereas the other, neuraminidase (N), facilitates release of the virus from infected cells, thus allowing perpetuation and amplification of infection. Antigenic drift is the ongoing process of genetic mutations that lead to new strains demonstrating variable change in antigenicity and is the basis for the annual updating of vaccine strains. Antigenic shift is the emergence of a novel influenza A subtype among humans, usually as the result of a recombination event. This radical change is necessary but not sufficient to initiate pandemic influenza, with efficient transmission from person to person also a critical feature. Pandemic influenza strains arise in 1 of 2 fashions. Genetic reassortment may occur when a mammalian host (human or porcine) is infected with both an avian and a human influenza virus, with subsequent dramatic movement into human populations, the source of the 1957 and 1968 pandemics. Alternatively, a novel virus may, after sufficient mutation, move directly from the avian population to humans, as appears to have occurred in 1918.
The 1918‐19 Pandemic
Abruptly in 1918, an influenza pandemic of seemingly unprecedented severity swept the world. Although disagreement remains regarding the source of the outbreak (China, the front lines of World War I, and even the United States have all been suggested), within 6‐9 months essentially the entire globe had been affected. Unlike more typical influenza seasons, the virus preferentially infected previously healthy young individuals, with those aged 15‐40 bearing the brunt of the illness. US military training installations, overcrowded with troops staging for service on the European front, played a particularly ill‐fated role in the pandemic as it swept through the United States.
Estimates of the pandemic's worldwide impact on mortality are sketchy at best, but many authorities believe that at least 50 million deaths resulted, with some suggesting a figure as high as 100 million. In the United States the virus was responsible for an estimated 700,000 deaths, with an untold burden of morbidity. Economic and social disruption was the norm in many areas, with widespread closure of businesses and schools and suspension of public gatherings of any kind. Many communities were simply overwhelmed by the sheer numbers of dying individuals. In Philadelphia, steam shovels were used to dig mass graves for influenza victims.1 The pandemic's effect on the health care system was likewise profound. Most hospitals counted their own physicians and nurses among those who died during the pandemic, and many of the health care workers who succumbed were infected in the course of caring for influenza patients. Overall, an estimated 2%‐3% of those infected with the virus died, a far higher percentage than is seen during interpandemic seasons. Strikingly, the vast majority of deaths do not appear to have resulted from secondary bacterial pneumonias, but rather to have been directly virally mediated through ARDS, a necrotizing viral pneumonia, or both.
The mystery of the 1918 pandemic has recently been partially unlocked, with the successful sequencing of the entire RNA genome of strains recovered from pathology tissue of two soldiers, as well as from lung tissue of a victim frozen in Alaskan permafrost since 1918.2, 3 The data suggest that the 1918 virus was derived from an avian source. Notably, some of the same changes in the polymerase proteins have been found in the highly pathogenic H5N1 viruses.
Avian Influenza Viruses
Influenza viruses that primarily infect birds are characterized as avian influenza viruses. These are always type A and are classified as either of low or high pathogenicity on the basis of the severity of the illness they cause in birds. The currently circulating H5N1 avian viruses are highly pathogenic.
Avian influenza viruses do not usually infect humans; however, several instances of human infections have been reported since 1997. The 1997 Hong Kong outbreak of avian (H5N1) influenza in 18 humans resulted in 6 deaths and was a seminal event that provided evidence that avian influenza viruses can infect people. It also provided the epidemiologic link between avian influenza infection in poultry with disease in humans and was proclaimed as a pandemic warning. These sentinel human infections led to the culling of the entire Hong Kong poultry population, with no subsequent human infection reported at that time. In 2003, more than 80 cases of avian influenza A (H7N7) illness occurred in the Netherlands among persons who handled infected poultry. Sustained human‐to‐human transmission did not occur in this or other outbreaks of avian influenza to date.
Since 2003, sporadic human cases of H5N1 have occurred, most recently reported from Turkey and Iraq. Human cases have also occurred in Vietnam, China, Cambodia, Thailand, and Indonesia, with a total of 173 reported cases and a case fatality rate exceeding 50% as of this writing.4 This mortality rate may be artificially inflated, as less severe cases have certainly gone unreported. All countries reporting human avian influenza diseases since 2003 have had concurrent epizoonotics in birds (both poultry and migratory birds).
Human cases of H5N1 influenza illness have been characterized by high fever and symptoms in the lower respiratory tract, as would be expected. Less predictable has been the presence of watery diarrhea in many patients and of abdominal and pleuritic pain and bleeding from the nose and gums in some. Sputum production has been variably present, and hemoptysis has been seen in some individuals. Most patients have had clinical and radiological evidence of pneumonia at the time they sought medical care, and progression to ARDS and multiorgan failure has been common. The majority of patients to date have required the initiation of mechanical ventilation early in their hospital course. Laboratory studies have typically shown lymphopenia, thrombocytopenia, and, in many cases, modestly elevated transaminase levels.5 Notably, the currently predominant strain of H5N1 (Z strain) is resistant to the M2 ion channel inhibitors amantadine and rimantadine but is susceptible to the newer class of neuraminidase inhibitors, zanamivir (Relenza) and oseltamivir (Tamiflu). Neuraminidase inhibitors and corticosteroids have been used to treat patients, although their efficacy in this setting is unclear. To date, virtually all cases appear to have been transmitted directly from poultry, although person‐to‐person transmission appears likely to have occurred in at least one family in Thailand.6 A recent study of the 14 clusters of avian influenza among humans emphasized the lack of sustained person‐to‐person transmission of H5N1 to date.7
Three factors are necessary for the emergence of a pandemic influenza strain: the ability to infect humans, a novel genetic makeup, and the ability for sustained transmission between people. A virus that in addition proves highly virulent, as did the 1918‐19 H1N1 strain, essentially creates the perfect storm. H5N1 influenza has currently fulfilled 2 of these 3 criteria. The virus is highly pathogenic, although how much of this fitness would be sacrificed with mutation to a more transmissible strain is uncertain. As many have observed, whether there will be another influenza pandemic does not seem in doubt; rather, it is when such a pandemic will occur and whether the pandemic will be caused by H5N1 or another influenza virus, that are the questions.
Potential Effects of the Next Pandemic
The global and national effects of an influenza pandemic will vary in direct proportion to the virulence of the circulating viral strain, but if such a virus is highly virulent, significant and perhaps severe economic and social disruption are likely.
The global economic impact has been estimated to be $800 billion with anticipated quarantines and interruption in global trade. On a national level, it has been estimated that in the United States a pandemic virus whose severity is comparable to that of the 1968 Hong Kong influenza pandemic would lead to approximately 200,000 deaths and 700,000 hospitalizations, of which roughly 100,000 would require treatment in intensive care unit settings. A more virulent strain, similar to that of the 1918‐19 pandemic, might easily result in 1 million deaths; with the number of patients hospitalized approaching 10 million, well over 1 million of which would require ICU‐level care. As an estimated 75% of the 105,000 ventilators in this country are in use at any given time under normal circumstances, the potential for demand to greatly outstrip supply is evident.8 Depending on the severity of a pandemic, suspension or curtailment of international trade and travel could be reasonably likely. Although the World Health Organization has recommended against closing borders or quarantining countries even in the throes of a pandemic, the prospect of this occurring does not seem implausible. In a worst‐case scenario, even the type of national and international chaos envisioned in the Dark Winter smallpox planning exercise might occur.9
Fortress America Versus Containment Strategies
Although the pandemic influenza plan calls for stockpiling antiviral drugs and increasing vaccine production capabilities, the most effective plan for pandemic preparedness may involve a surveillance and containment strategy. No country has enough medicines or vaccines to control a widespread outbreak of pandemic avian influenza. The best solution to prevention of a pandemic is stopping any virus from spreading in the first place. Increased surveillance for avian influenza among poultry and migratory birds in key Asian countries, along with provision of funds to compensate farmers for culling of potentially infected flocks, would align incentives for early detection and eradication. Containing an initial outbreak wherever it occurs is the best defense against a pandemic. Notably, China is thought to be a potential hot zone for emergence of pandemic avian influenza. China is not only the most populous nation in the world but has one quarter of the world's chickens, two thirds of the world's domesticated ducks, and 90% of the world's domesticated geese.
The challenges of biosecurity (protecting humans against animal‐borne diseases such as bird flu) in developing countries include the reality that populations living in close proximity to poultry are also the most illiterate and impoverished, with the most limited access to health care. The recent introduction of H5N1 into Europe has heightened surveillance efforts in the United States. The introduction of H5N1 into the United States may occur through movement of migratory birds and/or importation of exotic birds. The surveillance system has been expanded to include sampling for the influenza virus not only in poultry but also in bodies of water, as the virus is shed in bird feces.
Pandemic Planning
In the setting of a severe pandemic, hospitals will face an enormous burden of patients, with a huge influx of individuals requiring both intensive care unit as well as regular nursing floor care. At the local height of such a pandemic, the ability to successfully discharge every patient whose condition will permit this to the community or elsewhere will be critical, and almost certainly hospitals will need to expand to accept more patients than they are normally configured to hold. Hospitals staffs, particularly nurses and physicians, will be required to handle very large patient censuses. Among medical staffs, emergency physicians, hospitalists, critical care specialists, and infectious disease specialists will certainly be called on to play leading roles, much as they were during and in the aftermath of Hurricane Katrina recently. Despite all of the above, the ability of existing hospitals to accommodate all gravely ill patients may be outstripped, and auxiliary hospitals in schools and other public edifices may need to be established. Hospitalists are likely to be called on to play a major role in such temporary hospitals. The frustration and anguish of not being able to provide a standard level of care to patients (for example, being forced to triage which patients are most deserving of mechanical ventilation) should not be underestimated.
Although characterized by a relatively limited number of patients, the 2003 severe acute respiratory syndrome (SARS) outbreak in Toronto, Ontario, Canada, presented some of the same challenges that will be encountered in a virulent influenza pandemic. These include the need to quickly and drastically modify the usual emergency department and inpatient procedures, as hospitals initially serve to amplify the epidemic, as well as the additional stressor of health care workers becoming ill as a result of work‐related exposure. That fewer than 400 cases of SARS pushed the medical system of one of North America's largest cities nearly to its breaking point is both sobering and instructive.10, 11 Interested readers are directed to an excellent summary of lessons learned from the SARS outbreak, most of which are widely applicable to preparations for future infectious epidemics.12
Infection Control
Although the CDC and other Web sites currently recommend airborne isolation (respiratory personal protection) for avian influenza in humans, there is not strong epidemiologic evidence of transmission other than via droplets (the transmission mode of human influenza). The emergence of a limited number of cases of avian influenza in the United States would allow employment of airborne isolation measures; but in the event of a larger outbreak, the use of surgical masks and the practice of good hand hygiene would be sufficient by health care workers caring for persons with suspected or proven disease.
The CDC recently released proposed changes to help prevent disease outbreaks from contacts of those exposed to ill persons on airplanes. Proposed guidelines would require airlines to maintain computerized lists of passengers taken at point of departure in order to facilitate tracking of contacts and implementation of quarantine if necessary. These measures are part of pandemic planning and result from problems in tracking passengers on planes with SARS cases. By executive order, imposition of quarantine is limited to 9 diseases: cholera, diphtheria, smallpox, yellow fever, viral hemorrhagic fevers (eg, Ebola), plague, infectious tuberculosis, SARS and influenza caused by new strains with pandemic potential.
What Can Be Done?
Although valuable time has elapsed to prepare for the possibility of an H5N1 influenza pandemic, the US and global communities are presently taking the threat seriously and are engaging in a variety of activities to prepare for such an eventuality. Although currently available influenza vaccines do not provide any appreciable protection against H5N1, significant work is under way to develop an effective vaccine; with Chiron and sanofi pasteur preparing vaccine trials in association with the National Institute of Allergy and Infectious Diseases. Current influenza vaccine production is hampered by use of obsolete egg‐based manufacturing processes requiring 6 months, along with a limited capacity to manufacture adequate vaccine supplies even in many usual influenza seasons. The herculean task of providing hundreds of millions of doses of vaccine as soon as possible after the emergence of a pandemic strain, as daunting as it is, is further complicated by the fact that a successful H5N1 vaccine would not necessarily be effective against a strain that mutated sufficiently to move efficiently from person to person. Nonetheless, even partially solving these problems will pay dividends, whether or not H5N1 proves to be responsible for the next pandemic.
Given these difficulties with vaccine development and production, the backbone of any successful early response to a pandemic in the near future will be development of an adequate stockpile of antiviral medication, accompanied by a successful plan to distribute the drug when and where disease erupts. Despite uncertainties regarding their effectiveness as well as questions regarding optimal dose and duration in the setting of avian influenza, the neuraminidase inhibitors are the current drugs of choice. Of the 2 currently available agents, oseltamivir is the preferred drug for pandemic use, given its oral administration,. Unfortunately, the ability to manufacture the drug in sufficient quantities to stockpile has thus far proved problematic. Roche, the manufacturer of Tamiflu, has recently opened a new manufacturing plant and has stated that it can increase its current production of 55 million doses per year to 300 million doses by 2007. We do not recommend a role for personal stockpiling of neuraminidase inhibitors. Concerns include a shortage of the drug for seasonal influenza, absence of a pandemic at present, ignorance regarding the efficacy and optimal dose for H5N1, inappropriate use by individuals, and inequitable distribution. Recent case reports of oseltamivir resistance emerging during prophylaxis13 and treatment14 are of potential concern but do not alter current recommendations.
What can be done locally and specifically, and what can hospitalists do to prepare? First, although we are not sure that Dr Michael Osterholm's goal that planning for a pandemic must be on the agenda of every public health agency, school board, manufacturing plant, investment firm, mortuary, state legislature, and food distributor8 is entirely realistic, every hospital clearly needs to include pandemic influenza as a significant part of its disaster preparedness plan. Such planning will have broad overlap with planning for other potential disasters, including bioterrorist attacks, SARS outbreaks, and others. Hospitals must develop a plan for surge capacity, and such a plan should include not only coordination with other local hospitals, but also planning with local communities to identify sites where temporary flu hospitals can be established. Within hospital medicine groups, emergency staffing plans should be established before pandemic influenza (or another disaster) strikes. Such staffing plans need to include the ability to care for a much higher than normal number of patients for an extended period. Conceivably, a large number of patients will need to be manually ventilated for prolonged periods, which of course will tax the resources of any institution. Prompt discharge of all patients stable enough to leave the hospital will be critical, and given the investment of most hospital medicine groups in hospital throughput issues under normal conditions, much of the responsibility for helping to create beds during a crisis will inevitably fall on the shoulders of hospitalists.
Experiences during and shortly after Hurricane Katrina served to underscore that issues such as physical and mental fatigue, concern for the safety of family members, lack of supplies, communication difficulties, and absenteeism all add additional layers of complexity to the task of providing hospital care under extraordinary conditions such as during a natural disaster. These lessons can and should be extended to a major epidemic. This disaster also showed the importance of military involvement in the response to disasters that exceed local and state capabilities. The primary objective of the federal government in responding to disaster is to maintain security and essential services while preventing chaos. A pandemic of virulent influenza will raise the stakes still further, as physicians and nurses become casualties themselves. Despite these challenges, we are confident that the vast majority of hospitalists and other health care workers will rise to the occasion, and just as during the peri‐Katrina period, stories of selflessness and heroism will be de rigueur. Appropriate advance planning on all levels will serve to reduce the morbidity and mortality associated with the next pandemic and will help to ensure that health care workers do not sacrifice needlessly.0
1. World Health Organization (WHO) Website: |
2. Centers for Disease Control and Prevention (CDC): |
3. U.S. Government Avian Influenza Website: |
4. U.S. Department of Health and Human Services Pandemic Influenza Plan: |
5. Infectious Diseases Society of America (IDSA) Website: |
- The Great Influenza.New York, NY:Viking Penguin,2004. .
- Characterization of the 1918 influenza virus polymerase genes.Nature.2005;437:889–893. , , , , , .
- Characterization of the reconstructed 1918 Spanish influenza pandemic virus.Science.2005;310:77–80. , , , et al.
- WHO Epidemic and Pandemic Alert and Response. Confirmed cases of avian influenza A (H5N1). Available at http://www.who.int/csr/disease/avian_influenza/country/en/index.html. Accessed on February 28,2006.
- Writing Committee of the WHO Consultation on Human Influenza A/H5.Avian influenza A (H5N1) infection in humans.N Engl J Med.2005;353:1374–1385.
- Probable person‐to‐person transmission of avian influenza A (H5N1).N Engl J Med.2005;352:333–40. , , , et al.
- Family clustering of avian influenza A (H5N1).EID.2005;11:1799–1801. , , , et al.
- Preparing for the next pandemic.N Engl J Med.2005;352:1839–1842. .
- Center for Biosecurity. Dark Winter overview. Available at http://www.upmc‐biosecurity.org/pages/events/dark_winter/dark_winter.html. Accessed November 28,2005.
- SARS outbreak in the Greater Toronto Area: the emergency department experience.CMAJ.2004;171:1342–1344. , , , et al.
- Severe acute respiratory syndrome and critical care medicine: The Toronto experience.Crit Care Med.2005;33(suppl):S53–S60. , .
- Learning from SARS in Hong Kong and Toronto.JAMA.2004;291:2483–2487. , , .
- Avian flu: Isolation of drug‐resistant H5N1 virus.Nature.2005;438:754. , , , et al.
- Oseltamivir resistance during treatment of influenza A (H5N1) infection.N Engl J Med.2005;353:2667–2672. , , , et al.
- The Great Influenza.New York, NY:Viking Penguin,2004. .
- Characterization of the 1918 influenza virus polymerase genes.Nature.2005;437:889–893. , , , , , .
- Characterization of the reconstructed 1918 Spanish influenza pandemic virus.Science.2005;310:77–80. , , , et al.
- WHO Epidemic and Pandemic Alert and Response. Confirmed cases of avian influenza A (H5N1). Available at http://www.who.int/csr/disease/avian_influenza/country/en/index.html. Accessed on February 28,2006.
- Writing Committee of the WHO Consultation on Human Influenza A/H5.Avian influenza A (H5N1) infection in humans.N Engl J Med.2005;353:1374–1385.
- Probable person‐to‐person transmission of avian influenza A (H5N1).N Engl J Med.2005;352:333–40. , , , et al.
- Family clustering of avian influenza A (H5N1).EID.2005;11:1799–1801. , , , et al.
- Preparing for the next pandemic.N Engl J Med.2005;352:1839–1842. .
- Center for Biosecurity. Dark Winter overview. Available at http://www.upmc‐biosecurity.org/pages/events/dark_winter/dark_winter.html. Accessed November 28,2005.
- SARS outbreak in the Greater Toronto Area: the emergency department experience.CMAJ.2004;171:1342–1344. , , , et al.
- Severe acute respiratory syndrome and critical care medicine: The Toronto experience.Crit Care Med.2005;33(suppl):S53–S60. , .
- Learning from SARS in Hong Kong and Toronto.JAMA.2004;291:2483–2487. , , .
- Avian flu: Isolation of drug‐resistant H5N1 virus.Nature.2005;438:754. , , , et al.
- Oseltamivir resistance during treatment of influenza A (H5N1) infection.N Engl J Med.2005;353:2667–2672. , , , et al.
Handoffs
She is not, however, without a certain, well, grim sense of humor.
The voice throws you at first. It's deceptively mild and calm, more Gwyneth Paltrow than James Earl Jones. To the best of my knowledge, however, Gwyneth Paltrow has never shown up in a patient's room wearing a hooded black robe and sporting a scythe.
Hmm, bad case of sepsis, huh? she asked.
I was still cleaning up from the central line, so I tried to get rid of her gracefully. Now's not really a good time. That line always seems to work with pesky administrators.
Death, however, would not be dissuaded. HIV positive for nearly 10 years now, flirting with CD4 counts in double digits, rising viral load the past 3 years. Picked a bad time to have her gallbladder go bad on her, didn't she?
Or a bad time to pick a surgeon who was less than fastidious about his sterile fields, I muttered.
Death, however, chose to ignore me. Ventilator, pressors, antibiotics. She reached for the girl's right hand, attached as it was to an arterial line blood pressure monitor, and somethingdamn, if it didn't look like a scarabfell out of the robe and then scrambled across my patient's chest, right next to my newly placed and oh‐so‐deftly sutured plastic catheter, ducking away from the light.
Hey, that was my sterile field, I complained. I, unlike the aforementioned surgeon, had been fastidious about it. I hoped the scarab was sterile, at least.
Splinter hemorrhages, Death noted with obvious glee, taking particular interest in the little streaks of blood under my patient's fingernails. Septic emboli. Death seems to have Gwnyeth Paltrow's laugh along with her voice. It's a light and airy thing, almost like a favorite wind chime. That laugh could almost make you think Death had a heart. Endocarditis, she said fondly. One of my favorites.
Almost make you think she had a heart.
Go away. I tried to look more busy than worried, but I didn't think she was buying it.
It's been a good month for me here in the ICU. Heck, you yourself have 4 kills. Why don't you throw in this one and call yourself an ace?
Very funny. Now get out. I would imagine it's best not to lose your temper with Death. Or with any of the other three Horsemen of the Apocalypse, for that matter. Didn't anyone ever tell you it's poor form to make fun of your host? You're in Donna Smith's house now, buddy. Don't be dissin' my nurse manager.
Come on, she pushed. She's pathetic, she's tired, she lives alone in a tiny room in a forgotten crack house that she pretends is her apartment, and her parents haven't taken her calls for years.
Donna? I asked. That was some serious disrespect.
Don't go all medical student on me. I was talking about your patient, she explained evenly. She'd be better off with me anyway. You know that.
She can be persuasive when she might be right. Death and I have been having similar conversations all the way back to my surgical rotation as a third‐year medical student. Although she has never been above making the easy score, she typically only makes serious plays for patients who, in all honesty, just might be better off heading with her beyond the vale. That's not my decision to make, I told Death, tweaking the pressors. I have this thing about systolic blood pressure less than room temperature. By being here, she's placed her life in my hands, I said, staring down into what almost looked like a lifeless face. Until and unless I have a compelling reason to do otherwise, I will do whatever is necessary to ensure she comes out of this thing as well as she can. I turned to look Death in those beady little eyes. Even go 15 rounds with you, if that's what it takes.
There was a moment of silence, during which I began to think that perhaps I had made my point. Rock, paper, scissors? Death asked with a hopeful lilt.
I sighed. Damn, but she was persistent. I don't gamble with death. That's something my mommy taught me, way back when I used to think I'd be able to fly if I jumped from that really tall tree on the hill.
Oh, come on. Your patient in the next bed did. Overdosed on Ativan with a fifth of Johnny Walker Black as a chaser? Now there's a lifestyle choice I can find myself endorsing.
I was out of witty comebacks. Everyone deserves another chance, I told her, my eyes fixed now on the hollowed, closed eyes of my patient in the ICU bed. Evenor maybe even especiallymy patient in the next bed. I don't know what it was about his life that had driven him to the lifestyle choices he had made. There's a part of every physician that thinks that he or she can make that difference in a patient's life. All too often, though, we see enough repeat business to learn, the hard way, that we rarely make the kind of differences we'd like to. With a little luck, and no small amount of medical diligence, both my patients would survive this hospitalization.
But would they survive their next?
Would there be a next?
Would this be the time they'd turn the corner?
I had to hope so, because I still consider myself far too young to be any more cynical than I already am.
What about your partner? Death asked suddenly.
No, I said with something I hoped sounded like authority. You can't have her either.
No, I meanhow about I work a deal with her? She's young, she's impressionable, she's idealisticwe could make it not your fault.
She's got enough to do; please just leave her alone.
The hood shook slowly back and forth, so I assumed she was shaking her head. Or her skull. Whichever. Look, you wouldn't even have to do anything, that sweet, seductive voice told me. Just head back to your call room for a few minutes. Turn off your pager.
I don't know why we're even having this conversation, I groaned. We both know that you're just a hallucination caused by way too little sleep and way too much caffeine. Last call night I caught myself discussing the relative merits of high‐frequency jet ventilation with Galen.
Galen, Death reflected, suddenly nostalgic. Highly overrated, a positive trait in a doctor if you don't mind my saying so. Has an ego that would make an orthopedist seem humble.
You're lying, I decided.
Yes, I am. And you're stalling. Her voice suddenly became a whole lot more James Earl Jonesish. I'm taking the septic chick with endocarditis. You can lose all the sleep you want, she still goes Home with me.
I glanced over the drips one more time. I've just added norepi. That's a whole bag full of bite me that says differently. So back off, sweetheart.
As with most true medical emergencies, I was too busy thinking ahead to realize just how much trouble my patient could have been in at that moment.
Now morning, like her fever, has broken.
The sun, for those that haven't noticed, gives off a beautiful red glow as it rises over Boot Hill. I got to see it from the rocking chair in my patient's room. Nurse Donna was finishing the night's vital sign flow sheet, politely pretending she hadn't heard me snoring away the past 15 minutes. I was trying to decide if that odor drifting into the room was someone's attempt at coffee or melana. Donna smiled politely at me as I rubbed the Sandman's crud out of my eyes. It was a very Chicago Hope kinda moment.
If I'd been playing a doctor on TV, I'd have made some reassuring comment about how my patient had made it through the night, and so she was now out of the woods. Uh‐huh. With Death sneaking up behind me, my bite‐me norepinephrine wasn't going to be weaned just yet.
Good morning, I greeted.
She seemed a bit put off that I had heard her sneaking in. But then, Death is not exactly graced with kitty‐cat feet.
You never turned your pager off. She said it like an accusation. The way my wife does.
Never do. An answer my wife doesn't appreciate, either. My patient's still with me, I said, managing to keep the victory dance out of my voice. Pressure is better, heart rate is lower, fever seems to have broken.
Death is patient, death is kind, she warned.
It took my postcall mind a moment to wrap itself around that one. Isn't that supposed to be Love? I asked her.
The shoulders of the robe shrugged. Love gets all the cool lines, she complained. What do I get? Be not proud, nothing's for sure but me and taxes, Yea, though I walk through the valley of the shadow of me, give me liberty or give me me. She turned to face me. I like that one, by the way.
Never fails to bring a tear to my eye. I'd give her that. She had lost the patient, I could afford to be gracious and throw her a bone. As long as said bone didn't belong to one of my patients.
Death was silent for a long moment. Well, I'm outta here, she finally decided. What about you?
I've got a few more hours. Rounds, orders, more rounds, discussions with families, likely more rounds
I thought I could hear a wry grin in her voice. Well, you be careful driving home, she suggested. It'd be a shame if you fell asleep at the wheel. And then ended up on my doorstep.
Damn.
She is not, however, without a certain, well, grim sense of humor.
The voice throws you at first. It's deceptively mild and calm, more Gwyneth Paltrow than James Earl Jones. To the best of my knowledge, however, Gwyneth Paltrow has never shown up in a patient's room wearing a hooded black robe and sporting a scythe.
Hmm, bad case of sepsis, huh? she asked.
I was still cleaning up from the central line, so I tried to get rid of her gracefully. Now's not really a good time. That line always seems to work with pesky administrators.
Death, however, would not be dissuaded. HIV positive for nearly 10 years now, flirting with CD4 counts in double digits, rising viral load the past 3 years. Picked a bad time to have her gallbladder go bad on her, didn't she?
Or a bad time to pick a surgeon who was less than fastidious about his sterile fields, I muttered.
Death, however, chose to ignore me. Ventilator, pressors, antibiotics. She reached for the girl's right hand, attached as it was to an arterial line blood pressure monitor, and somethingdamn, if it didn't look like a scarabfell out of the robe and then scrambled across my patient's chest, right next to my newly placed and oh‐so‐deftly sutured plastic catheter, ducking away from the light.
Hey, that was my sterile field, I complained. I, unlike the aforementioned surgeon, had been fastidious about it. I hoped the scarab was sterile, at least.
Splinter hemorrhages, Death noted with obvious glee, taking particular interest in the little streaks of blood under my patient's fingernails. Septic emboli. Death seems to have Gwnyeth Paltrow's laugh along with her voice. It's a light and airy thing, almost like a favorite wind chime. That laugh could almost make you think Death had a heart. Endocarditis, she said fondly. One of my favorites.
Almost make you think she had a heart.
Go away. I tried to look more busy than worried, but I didn't think she was buying it.
It's been a good month for me here in the ICU. Heck, you yourself have 4 kills. Why don't you throw in this one and call yourself an ace?
Very funny. Now get out. I would imagine it's best not to lose your temper with Death. Or with any of the other three Horsemen of the Apocalypse, for that matter. Didn't anyone ever tell you it's poor form to make fun of your host? You're in Donna Smith's house now, buddy. Don't be dissin' my nurse manager.
Come on, she pushed. She's pathetic, she's tired, she lives alone in a tiny room in a forgotten crack house that she pretends is her apartment, and her parents haven't taken her calls for years.
Donna? I asked. That was some serious disrespect.
Don't go all medical student on me. I was talking about your patient, she explained evenly. She'd be better off with me anyway. You know that.
She can be persuasive when she might be right. Death and I have been having similar conversations all the way back to my surgical rotation as a third‐year medical student. Although she has never been above making the easy score, she typically only makes serious plays for patients who, in all honesty, just might be better off heading with her beyond the vale. That's not my decision to make, I told Death, tweaking the pressors. I have this thing about systolic blood pressure less than room temperature. By being here, she's placed her life in my hands, I said, staring down into what almost looked like a lifeless face. Until and unless I have a compelling reason to do otherwise, I will do whatever is necessary to ensure she comes out of this thing as well as she can. I turned to look Death in those beady little eyes. Even go 15 rounds with you, if that's what it takes.
There was a moment of silence, during which I began to think that perhaps I had made my point. Rock, paper, scissors? Death asked with a hopeful lilt.
I sighed. Damn, but she was persistent. I don't gamble with death. That's something my mommy taught me, way back when I used to think I'd be able to fly if I jumped from that really tall tree on the hill.
Oh, come on. Your patient in the next bed did. Overdosed on Ativan with a fifth of Johnny Walker Black as a chaser? Now there's a lifestyle choice I can find myself endorsing.
I was out of witty comebacks. Everyone deserves another chance, I told her, my eyes fixed now on the hollowed, closed eyes of my patient in the ICU bed. Evenor maybe even especiallymy patient in the next bed. I don't know what it was about his life that had driven him to the lifestyle choices he had made. There's a part of every physician that thinks that he or she can make that difference in a patient's life. All too often, though, we see enough repeat business to learn, the hard way, that we rarely make the kind of differences we'd like to. With a little luck, and no small amount of medical diligence, both my patients would survive this hospitalization.
But would they survive their next?
Would there be a next?
Would this be the time they'd turn the corner?
I had to hope so, because I still consider myself far too young to be any more cynical than I already am.
What about your partner? Death asked suddenly.
No, I said with something I hoped sounded like authority. You can't have her either.
No, I meanhow about I work a deal with her? She's young, she's impressionable, she's idealisticwe could make it not your fault.
She's got enough to do; please just leave her alone.
The hood shook slowly back and forth, so I assumed she was shaking her head. Or her skull. Whichever. Look, you wouldn't even have to do anything, that sweet, seductive voice told me. Just head back to your call room for a few minutes. Turn off your pager.
I don't know why we're even having this conversation, I groaned. We both know that you're just a hallucination caused by way too little sleep and way too much caffeine. Last call night I caught myself discussing the relative merits of high‐frequency jet ventilation with Galen.
Galen, Death reflected, suddenly nostalgic. Highly overrated, a positive trait in a doctor if you don't mind my saying so. Has an ego that would make an orthopedist seem humble.
You're lying, I decided.
Yes, I am. And you're stalling. Her voice suddenly became a whole lot more James Earl Jonesish. I'm taking the septic chick with endocarditis. You can lose all the sleep you want, she still goes Home with me.
I glanced over the drips one more time. I've just added norepi. That's a whole bag full of bite me that says differently. So back off, sweetheart.
As with most true medical emergencies, I was too busy thinking ahead to realize just how much trouble my patient could have been in at that moment.
Now morning, like her fever, has broken.
The sun, for those that haven't noticed, gives off a beautiful red glow as it rises over Boot Hill. I got to see it from the rocking chair in my patient's room. Nurse Donna was finishing the night's vital sign flow sheet, politely pretending she hadn't heard me snoring away the past 15 minutes. I was trying to decide if that odor drifting into the room was someone's attempt at coffee or melana. Donna smiled politely at me as I rubbed the Sandman's crud out of my eyes. It was a very Chicago Hope kinda moment.
If I'd been playing a doctor on TV, I'd have made some reassuring comment about how my patient had made it through the night, and so she was now out of the woods. Uh‐huh. With Death sneaking up behind me, my bite‐me norepinephrine wasn't going to be weaned just yet.
Good morning, I greeted.
She seemed a bit put off that I had heard her sneaking in. But then, Death is not exactly graced with kitty‐cat feet.
You never turned your pager off. She said it like an accusation. The way my wife does.
Never do. An answer my wife doesn't appreciate, either. My patient's still with me, I said, managing to keep the victory dance out of my voice. Pressure is better, heart rate is lower, fever seems to have broken.
Death is patient, death is kind, she warned.
It took my postcall mind a moment to wrap itself around that one. Isn't that supposed to be Love? I asked her.
The shoulders of the robe shrugged. Love gets all the cool lines, she complained. What do I get? Be not proud, nothing's for sure but me and taxes, Yea, though I walk through the valley of the shadow of me, give me liberty or give me me. She turned to face me. I like that one, by the way.
Never fails to bring a tear to my eye. I'd give her that. She had lost the patient, I could afford to be gracious and throw her a bone. As long as said bone didn't belong to one of my patients.
Death was silent for a long moment. Well, I'm outta here, she finally decided. What about you?
I've got a few more hours. Rounds, orders, more rounds, discussions with families, likely more rounds
I thought I could hear a wry grin in her voice. Well, you be careful driving home, she suggested. It'd be a shame if you fell asleep at the wheel. And then ended up on my doorstep.
Damn.
She is not, however, without a certain, well, grim sense of humor.
The voice throws you at first. It's deceptively mild and calm, more Gwyneth Paltrow than James Earl Jones. To the best of my knowledge, however, Gwyneth Paltrow has never shown up in a patient's room wearing a hooded black robe and sporting a scythe.
Hmm, bad case of sepsis, huh? she asked.
I was still cleaning up from the central line, so I tried to get rid of her gracefully. Now's not really a good time. That line always seems to work with pesky administrators.
Death, however, would not be dissuaded. HIV positive for nearly 10 years now, flirting with CD4 counts in double digits, rising viral load the past 3 years. Picked a bad time to have her gallbladder go bad on her, didn't she?
Or a bad time to pick a surgeon who was less than fastidious about his sterile fields, I muttered.
Death, however, chose to ignore me. Ventilator, pressors, antibiotics. She reached for the girl's right hand, attached as it was to an arterial line blood pressure monitor, and somethingdamn, if it didn't look like a scarabfell out of the robe and then scrambled across my patient's chest, right next to my newly placed and oh‐so‐deftly sutured plastic catheter, ducking away from the light.
Hey, that was my sterile field, I complained. I, unlike the aforementioned surgeon, had been fastidious about it. I hoped the scarab was sterile, at least.
Splinter hemorrhages, Death noted with obvious glee, taking particular interest in the little streaks of blood under my patient's fingernails. Septic emboli. Death seems to have Gwnyeth Paltrow's laugh along with her voice. It's a light and airy thing, almost like a favorite wind chime. That laugh could almost make you think Death had a heart. Endocarditis, she said fondly. One of my favorites.
Almost make you think she had a heart.
Go away. I tried to look more busy than worried, but I didn't think she was buying it.
It's been a good month for me here in the ICU. Heck, you yourself have 4 kills. Why don't you throw in this one and call yourself an ace?
Very funny. Now get out. I would imagine it's best not to lose your temper with Death. Or with any of the other three Horsemen of the Apocalypse, for that matter. Didn't anyone ever tell you it's poor form to make fun of your host? You're in Donna Smith's house now, buddy. Don't be dissin' my nurse manager.
Come on, she pushed. She's pathetic, she's tired, she lives alone in a tiny room in a forgotten crack house that she pretends is her apartment, and her parents haven't taken her calls for years.
Donna? I asked. That was some serious disrespect.
Don't go all medical student on me. I was talking about your patient, she explained evenly. She'd be better off with me anyway. You know that.
She can be persuasive when she might be right. Death and I have been having similar conversations all the way back to my surgical rotation as a third‐year medical student. Although she has never been above making the easy score, she typically only makes serious plays for patients who, in all honesty, just might be better off heading with her beyond the vale. That's not my decision to make, I told Death, tweaking the pressors. I have this thing about systolic blood pressure less than room temperature. By being here, she's placed her life in my hands, I said, staring down into what almost looked like a lifeless face. Until and unless I have a compelling reason to do otherwise, I will do whatever is necessary to ensure she comes out of this thing as well as she can. I turned to look Death in those beady little eyes. Even go 15 rounds with you, if that's what it takes.
There was a moment of silence, during which I began to think that perhaps I had made my point. Rock, paper, scissors? Death asked with a hopeful lilt.
I sighed. Damn, but she was persistent. I don't gamble with death. That's something my mommy taught me, way back when I used to think I'd be able to fly if I jumped from that really tall tree on the hill.
Oh, come on. Your patient in the next bed did. Overdosed on Ativan with a fifth of Johnny Walker Black as a chaser? Now there's a lifestyle choice I can find myself endorsing.
I was out of witty comebacks. Everyone deserves another chance, I told her, my eyes fixed now on the hollowed, closed eyes of my patient in the ICU bed. Evenor maybe even especiallymy patient in the next bed. I don't know what it was about his life that had driven him to the lifestyle choices he had made. There's a part of every physician that thinks that he or she can make that difference in a patient's life. All too often, though, we see enough repeat business to learn, the hard way, that we rarely make the kind of differences we'd like to. With a little luck, and no small amount of medical diligence, both my patients would survive this hospitalization.
But would they survive their next?
Would there be a next?
Would this be the time they'd turn the corner?
I had to hope so, because I still consider myself far too young to be any more cynical than I already am.
What about your partner? Death asked suddenly.
No, I said with something I hoped sounded like authority. You can't have her either.
No, I meanhow about I work a deal with her? She's young, she's impressionable, she's idealisticwe could make it not your fault.
She's got enough to do; please just leave her alone.
The hood shook slowly back and forth, so I assumed she was shaking her head. Or her skull. Whichever. Look, you wouldn't even have to do anything, that sweet, seductive voice told me. Just head back to your call room for a few minutes. Turn off your pager.
I don't know why we're even having this conversation, I groaned. We both know that you're just a hallucination caused by way too little sleep and way too much caffeine. Last call night I caught myself discussing the relative merits of high‐frequency jet ventilation with Galen.
Galen, Death reflected, suddenly nostalgic. Highly overrated, a positive trait in a doctor if you don't mind my saying so. Has an ego that would make an orthopedist seem humble.
You're lying, I decided.
Yes, I am. And you're stalling. Her voice suddenly became a whole lot more James Earl Jonesish. I'm taking the septic chick with endocarditis. You can lose all the sleep you want, she still goes Home with me.
I glanced over the drips one more time. I've just added norepi. That's a whole bag full of bite me that says differently. So back off, sweetheart.
As with most true medical emergencies, I was too busy thinking ahead to realize just how much trouble my patient could have been in at that moment.
Now morning, like her fever, has broken.
The sun, for those that haven't noticed, gives off a beautiful red glow as it rises over Boot Hill. I got to see it from the rocking chair in my patient's room. Nurse Donna was finishing the night's vital sign flow sheet, politely pretending she hadn't heard me snoring away the past 15 minutes. I was trying to decide if that odor drifting into the room was someone's attempt at coffee or melana. Donna smiled politely at me as I rubbed the Sandman's crud out of my eyes. It was a very Chicago Hope kinda moment.
If I'd been playing a doctor on TV, I'd have made some reassuring comment about how my patient had made it through the night, and so she was now out of the woods. Uh‐huh. With Death sneaking up behind me, my bite‐me norepinephrine wasn't going to be weaned just yet.
Good morning, I greeted.
She seemed a bit put off that I had heard her sneaking in. But then, Death is not exactly graced with kitty‐cat feet.
You never turned your pager off. She said it like an accusation. The way my wife does.
Never do. An answer my wife doesn't appreciate, either. My patient's still with me, I said, managing to keep the victory dance out of my voice. Pressure is better, heart rate is lower, fever seems to have broken.
Death is patient, death is kind, she warned.
It took my postcall mind a moment to wrap itself around that one. Isn't that supposed to be Love? I asked her.
The shoulders of the robe shrugged. Love gets all the cool lines, she complained. What do I get? Be not proud, nothing's for sure but me and taxes, Yea, though I walk through the valley of the shadow of me, give me liberty or give me me. She turned to face me. I like that one, by the way.
Never fails to bring a tear to my eye. I'd give her that. She had lost the patient, I could afford to be gracious and throw her a bone. As long as said bone didn't belong to one of my patients.
Death was silent for a long moment. Well, I'm outta here, she finally decided. What about you?
I've got a few more hours. Rounds, orders, more rounds, discussions with families, likely more rounds
I thought I could hear a wry grin in her voice. Well, you be careful driving home, she suggested. It'd be a shame if you fell asleep at the wheel. And then ended up on my doorstep.
Damn.
Hospitalist Time‐Motion
The hospitalist model of care has experienced dramatic growth. In 2003 it was estimated that there were 8000 US hospitalists, a number projected to ultimately reach more than 19 000.1, 2 This rapid growth has largely been driven by improvements in clinical efficiency as a result of hospitalist programs. There is a substantial body of evidence showing that hospitalists reduce length of stay and inpatient costs.3 Despite the rapid growth and proven benefit to clinical efficiency, no studies have evaluated the type and frequency of activities that hospitalists perform during routine work. Although the use of hospitalists improves clinical efficiency for the hospital, relatively little is known about how the hospital can improve efficiency for the hospitalist.
Our institution greatly expanded our hospitalist program in June 2003 to create a resident‐uncovered hospitalist service. The impetus for this change was the need to comply with newly revised Accreditation Council for Graduate Medicine Education (ACGME) program requirements regarding resident duty hours. Many teaching hospitals have implemented similar resident‐uncovered hospitalist services.4 Inefficiencies in their work activities quickly became apparent to our hospitalists. Furthermore, our hospitalists believed that they frequently performed simultaneous activities and that they were excessively interrupted by pages.
To evaluate the type and frequency of activities that the hospitalists performed during routine work, we performed a time‐motion study of hospitalist physicians on the resident‐uncovered hospitalist service. Our goal was to identify areas for systems improvements and activities that were better suited for nonphysician providers and to quantify the time spent multitasking and the frequency of paging interruptions.
METHODS
Northwestern Memorial Hospital (NMH) is a 753‐bed hospital in Chicago, Illinois. NMH is the primary teaching hospital affiliated with the Feinberg School of Medicine of Northwestern University. There are 2 general medicine services at NMH: a traditional resident‐covered ward service and the resident‐uncovered hospitalist service. Patients are admitted to one of these 2 services on the basis of, in order of importance, capacity of the services, preference of the outpatient physician, and potential educational value of the admission. Patients admitted to the hospitalist service are preferentially given beds on specific wards intended for hospitalist service patients. Fourth‐year medical students are frequently paired with hospitalists during their medicine subinternship.
The resident‐uncovered hospitalist service comprises 5 daytime hospitalists on duty at a time. The hospitalists are on service for 7 consecutive days, usually followed by 7 consecutive days off. Hospitalists pick up new patients from the night float hospitalist each morning. Daytime admitting duties rotate on a daily basis. One hospitalist accepts new admissions each morning from 7:00 AM until noon. Two hospitalists accept admissions from noon until 5:00 PM. One hospitalist accepts admissions from 5:00 PM until 9:00 PM. One hospitalist is free from accepting new admissions each day. All daytime hospitalists begin the workday at 7:00 AM and leave when their duties are completed for the day. One night float hospitalist is on duty each night of the week. The night float hospitalist performs admissions and all cross cover activities from 7:00 PM until 7:00 AM.
We first conducted a pilot study to help identify specific activities that our hospitalists routinely perform. Broad categories and subcategories of activities were created based on the results of our pilot study, and a published time‐motion study performed on emergency medicine physicians5 (Table 1). Once activities were defined and codes established, our research assistant unobtrusively shadowed hospitalist physicians for periods lasting 3‐5 hours. The observation periods were distributed in order to sample all activities that a daytime hospitalist would perform throughout a typical week. Observation periods included 2 morning admitting periods, 4 morning nonadmitting periods, 4 afternoon admitting periods, 4 afternoon nonadmitting periods, and 2 admitting periods from 5:00 PM to 9:00 PM. Activities were recorded on a standardized data collection form in 1‐minute intervals. When multiple activities were performed at the same time, all activities were recorded in the same 1‐minute interval. Incoming pages were recorded as well. To minimize the possibility that observation would affect hospitalist behavior, the research assistant was instructed not to initiate conversation with the hospitalists.
Direct patient care |
Taking initial history and physical exam |
Seeing patient in follow‐up visit |
Going over discharge instructions |
Family meetings |
Indirect patient care |
Reviewing test results and medical records |
Documentation |
Documenting history and physical, daily notes, filling out discharge instructions, writing out prescriptions |
Communication |
Taking report from night float, taking admission report, face‐to‐face discussion, initiating and returning pages |
Orders |
Writing/emnputting orders, calling radiology |
Professional development |
Going to conferences, grand rounds, etc |
Reading articles, textbooks, online references |
Education |
Teaching during work rounds |
Didactic sessions with subintern |
Travel |
Walking, taking elevator, etc |
Personal |
Lunch, washroom break, etc. |
The data collection forms were manually abstracted and minutes tallied for each category and subcategory, for which summary statistics were converted to percentage of total minutes.
RESULTS
Ten hospitalists were shadowed by a single research assistant for a total of 4467 minutes. Seven hospitalists were male and 3 were female. The hospitalists were a mean age of 31 1.6 years of age and had been practicing as a hospitalist for a mean of 2.1 1.0 years. The hospitalists saw an average of 9.4 4.0 patients on the days they were shadowed by the research assistant. Because simultaneous activities were recorded, a total of 5557 minutes of activities were recorded.
The distribution of total minutes recorded in each activity category is shown in Figure 1. Hospitalists spent 18% of their time doing direct patient care, 69% on indirect patient care, 4% on personal activities, and 3% each on professional development, education, and travel.

Of the time hospitalists directly cared for patients, 18% was spent obtaining histories and performing physical examinations on new patients, 53% seeing patients in follow‐up visits, 16% going over discharge instructions, and 13% in family meetings (Figure 2). Of the time hospitalists spent doing indirect patient care, 37% was taken up by documentation, 21% by reviewing results, 7% by orders, and 35% by communication (Figure 2).

As just explained, communication accounted for 35% of indirect patient care activities; it also accounted for 24% of the total activity minutes. The time spent by hospitalists on communication was further broken down as 23% paging other physicians, 31% returning pages, 34% in face‐to‐face communication, 5% taking report on new admissions, 4% on sign‐out to the night float hospitalist, and 3% receiving sign‐out from the night float hospitalist.
Multitasking, performing more than 1 activity at the same time, was done 21% of the time. Hospitalists received an average of 3.4 1.5 pages per hour, and 7% of total activity time was spent returning pages. Other forms of interruption were not evaluated.
DISCUSSION
Our study had several important findings. First, hospitalists spent most of their time on indirect patient care activities and relatively little time on direct patient care. Time‐motion studies of nonhospitalist physicians have reported similar findings.5, 6 A considerable amount of hospitalist time was spent on documentation. This finding also has been reported in studies of nonhospitalist physicians.5, 7
A unique finding in our study was the large amount of time, 24% of total minutes, spent on communication. A study of emergency medicine physicians by Hollingsworth found that 13% of their time was spent on communication activities.5 The large amount of time spent on communication in our study underscores the need for hospitalists to have outstanding communication skills and systems that support efficient communication. Hospitalists spent 6% of their total time paging other physicians and 7% returning pages. Improvements in the efficiency of paging communication could greatly reduce the amount of time communicating by page. Our paging system provides unidirectional alphanumeric paging. In an effort to improve the efficiency of paging, we have asked nurses and consultants to include FYI and callback in the text of the page so it is clear whether the person who has paged the hospitalist needs to be called back. This simple solution to help reduce the number of unnecessary callbacks has previously been proposed by others.8
Another part of solving this problem is adopting the use of 2‐way pagers instead of alphanumeric pagers. Two‐way paging can increase the efficiency of communication even further. For example, a nurse sends a hospitalist a page that asks if the previous diet orders for a patient just returned from a procedure can be resumed. This hospitalist is on another floor in another patient's room. Rather than spending time leaving the other patient's room, finding a phone, calling the floor, waiting for an answer, and then waiting on hold, the hospitalist simply texts a 1‐word answer, Yes, in the 2‐way paging system. In addition to the time occupied by paging activities, hospitalists spent a large amount of time in face‐to‐face communication (8% of total activity time). On the one hand, having hospitalists discuss patient care with consultants and nurses in person on an ongoing basis throughout the day may improve clinical efficiency. On the other hand, the constant potential for interruption may be problematic. Similarly, 2‐way paging could facilitate communication to such a degree that it could actually increase the frequency of interruptions. Research on improvements in communications systems, interventions to improve communication skills, and team‐based care is warranted in order to evaluate the impact on hospitalist workflow.
An important finding in our study was that multitasking and paging interruptions were common. Although this may come as no surprise to practicing hospitalists, the distraction caused by interruptions and multitasking is an important potential cause of medical errors.911 A thorough examination of the types of activities performed simultaneously and whether they contributed to medical error was beyond the scope of our study. Some activities, such as documenting a note on a patient while reviewing the patient's lab results, are concordant (ie, conducted for the same patient) and therefore may be unlikely to contribute to medical error. Other combinations of activities, such as returning a page about one patient while documenting a note on a different patient or having face‐to‐face communication about one patient while entering an order on another patient, are discordant. Discordant activities may contribute to medical error. Further research of the effect of hospitalist multitasking and interruption on medical error is warranted and should be conducted within the framework of concordant versus discordant activities.
We had hoped to find activities that could be performed by non‐physician providers. No high impact activities were discovered that would be better suited for a non‐physician provider in this study. Clerical tasks, such as calling for radiology orders or obtaining medical records, amounted to a small percentage of hospitalist time (less than 1% combined). We did identify several activities in which automation or process improvement would be helpful. Hospitalists spent 5% of time on the combined activity of documenting discharge instructions and writing out prescriptions. Our institution is in the process of implementing an electronic medical record and computerized physician order entry. We are currently working on an automated process to generate printed discharge instructions and prescriptions. This has the potential not only to improve efficiency, but also to eliminate medication errors, as care is transitioned to the outpatient setting.
Our study had several limitations. First, our findings reflect the experience at one institution. Hospitalist practices vary widely in their staffing and scheduling models as well as in their organizational support. The amount of time that hospitalists spend on activities may differ between practices and between individual hospitalists in the same practice. Another limitation to our study pertains to the workflow of our hospitalists and the locations of their patients. As discussed earlier, patients were assigned to a hospitalist according to time of admission, not location of admission. Because of this, the hospitalists were caring for patients on as many as 5 wards. Although travel time amounted to only 3% of total minutes, it is possible that communication time could have been reduced if patients were distributed to hospitalists on the basis of patient location rather than time of admission of patient. For example, physicians and nurses might spend less time communicating in person compared to communicating via unidirectional paging, which frequently requires waiting for a callback. Finally, our study only observed activities performed by the daytime hospitalists at our hospital. The distribution and types of activities performed by nighttime hospitalists may be somewhat different.
Our study may serve as a model for hospitalist time‐motion studies in other settings. Our findings are of particular importance to resident‐uncovered hospitalist programs in academic hospitals, a setting in which operational inefficiencies may be abundant as house staff members have been poorly positioned in the hospital organization to lobby for process change. We hope that our study is a precursor to research evaluating modifications to the environments and systems in which hospitalists work. Such modifications have the potential to improve productivity and work conditions and promote career satisfaction.
Acknowledgements
We thank Patricia Georgas for shadowing the hospitalists and collecting the data in this study.
- Society of Hospital Medicine. Available at http://www.hospitalmedicine.org/AM/Template.cfm?Section=FAQs106:441–445.
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- Hospitalists in teaching hospitals: opportunities but not without danger.J Gen Intern Med.2004;4:392–393. , .
- How do physicians and nurses spend their time in the Emergency Department?Ann Emerg Med.1998;31:97–91. , , , , .
- A time‐motion study of the activities of attending physicians in an Internal Medicine and Internal Medicine‐Pediatrics resident continuity clinic.Acad Med.2000;75:1138–1143. , , , , .
- Work interrupted: a comparison of workplace interruptions in emergency departments and primary care offices.Ann Emerg Med.2001;38:146–151. , , , .
- Residents' suggestions for reducing errors in teaching hospitals.N Engl J Med.2003;348:851–855. , .
- Emergency department workplace interruptions: are emergency physicians “interrupt‐driven” and “multitasking”?Acad Emerg Med.2000;7:1239–243. , , , .
- Understanding medical error and improving patient safety in the inpatient setting.Med Clin N Am.2002;86:847–867. , , .
- Sharps‐related injuries in health care workers: a case‐crossover study.Am J Med.2003;114:687–694. , , , .
The hospitalist model of care has experienced dramatic growth. In 2003 it was estimated that there were 8000 US hospitalists, a number projected to ultimately reach more than 19 000.1, 2 This rapid growth has largely been driven by improvements in clinical efficiency as a result of hospitalist programs. There is a substantial body of evidence showing that hospitalists reduce length of stay and inpatient costs.3 Despite the rapid growth and proven benefit to clinical efficiency, no studies have evaluated the type and frequency of activities that hospitalists perform during routine work. Although the use of hospitalists improves clinical efficiency for the hospital, relatively little is known about how the hospital can improve efficiency for the hospitalist.
Our institution greatly expanded our hospitalist program in June 2003 to create a resident‐uncovered hospitalist service. The impetus for this change was the need to comply with newly revised Accreditation Council for Graduate Medicine Education (ACGME) program requirements regarding resident duty hours. Many teaching hospitals have implemented similar resident‐uncovered hospitalist services.4 Inefficiencies in their work activities quickly became apparent to our hospitalists. Furthermore, our hospitalists believed that they frequently performed simultaneous activities and that they were excessively interrupted by pages.
To evaluate the type and frequency of activities that the hospitalists performed during routine work, we performed a time‐motion study of hospitalist physicians on the resident‐uncovered hospitalist service. Our goal was to identify areas for systems improvements and activities that were better suited for nonphysician providers and to quantify the time spent multitasking and the frequency of paging interruptions.
METHODS
Northwestern Memorial Hospital (NMH) is a 753‐bed hospital in Chicago, Illinois. NMH is the primary teaching hospital affiliated with the Feinberg School of Medicine of Northwestern University. There are 2 general medicine services at NMH: a traditional resident‐covered ward service and the resident‐uncovered hospitalist service. Patients are admitted to one of these 2 services on the basis of, in order of importance, capacity of the services, preference of the outpatient physician, and potential educational value of the admission. Patients admitted to the hospitalist service are preferentially given beds on specific wards intended for hospitalist service patients. Fourth‐year medical students are frequently paired with hospitalists during their medicine subinternship.
The resident‐uncovered hospitalist service comprises 5 daytime hospitalists on duty at a time. The hospitalists are on service for 7 consecutive days, usually followed by 7 consecutive days off. Hospitalists pick up new patients from the night float hospitalist each morning. Daytime admitting duties rotate on a daily basis. One hospitalist accepts new admissions each morning from 7:00 AM until noon. Two hospitalists accept admissions from noon until 5:00 PM. One hospitalist accepts admissions from 5:00 PM until 9:00 PM. One hospitalist is free from accepting new admissions each day. All daytime hospitalists begin the workday at 7:00 AM and leave when their duties are completed for the day. One night float hospitalist is on duty each night of the week. The night float hospitalist performs admissions and all cross cover activities from 7:00 PM until 7:00 AM.
We first conducted a pilot study to help identify specific activities that our hospitalists routinely perform. Broad categories and subcategories of activities were created based on the results of our pilot study, and a published time‐motion study performed on emergency medicine physicians5 (Table 1). Once activities were defined and codes established, our research assistant unobtrusively shadowed hospitalist physicians for periods lasting 3‐5 hours. The observation periods were distributed in order to sample all activities that a daytime hospitalist would perform throughout a typical week. Observation periods included 2 morning admitting periods, 4 morning nonadmitting periods, 4 afternoon admitting periods, 4 afternoon nonadmitting periods, and 2 admitting periods from 5:00 PM to 9:00 PM. Activities were recorded on a standardized data collection form in 1‐minute intervals. When multiple activities were performed at the same time, all activities were recorded in the same 1‐minute interval. Incoming pages were recorded as well. To minimize the possibility that observation would affect hospitalist behavior, the research assistant was instructed not to initiate conversation with the hospitalists.
Direct patient care |
Taking initial history and physical exam |
Seeing patient in follow‐up visit |
Going over discharge instructions |
Family meetings |
Indirect patient care |
Reviewing test results and medical records |
Documentation |
Documenting history and physical, daily notes, filling out discharge instructions, writing out prescriptions |
Communication |
Taking report from night float, taking admission report, face‐to‐face discussion, initiating and returning pages |
Orders |
Writing/emnputting orders, calling radiology |
Professional development |
Going to conferences, grand rounds, etc |
Reading articles, textbooks, online references |
Education |
Teaching during work rounds |
Didactic sessions with subintern |
Travel |
Walking, taking elevator, etc |
Personal |
Lunch, washroom break, etc. |
The data collection forms were manually abstracted and minutes tallied for each category and subcategory, for which summary statistics were converted to percentage of total minutes.
RESULTS
Ten hospitalists were shadowed by a single research assistant for a total of 4467 minutes. Seven hospitalists were male and 3 were female. The hospitalists were a mean age of 31 1.6 years of age and had been practicing as a hospitalist for a mean of 2.1 1.0 years. The hospitalists saw an average of 9.4 4.0 patients on the days they were shadowed by the research assistant. Because simultaneous activities were recorded, a total of 5557 minutes of activities were recorded.
The distribution of total minutes recorded in each activity category is shown in Figure 1. Hospitalists spent 18% of their time doing direct patient care, 69% on indirect patient care, 4% on personal activities, and 3% each on professional development, education, and travel.

Of the time hospitalists directly cared for patients, 18% was spent obtaining histories and performing physical examinations on new patients, 53% seeing patients in follow‐up visits, 16% going over discharge instructions, and 13% in family meetings (Figure 2). Of the time hospitalists spent doing indirect patient care, 37% was taken up by documentation, 21% by reviewing results, 7% by orders, and 35% by communication (Figure 2).

As just explained, communication accounted for 35% of indirect patient care activities; it also accounted for 24% of the total activity minutes. The time spent by hospitalists on communication was further broken down as 23% paging other physicians, 31% returning pages, 34% in face‐to‐face communication, 5% taking report on new admissions, 4% on sign‐out to the night float hospitalist, and 3% receiving sign‐out from the night float hospitalist.
Multitasking, performing more than 1 activity at the same time, was done 21% of the time. Hospitalists received an average of 3.4 1.5 pages per hour, and 7% of total activity time was spent returning pages. Other forms of interruption were not evaluated.
DISCUSSION
Our study had several important findings. First, hospitalists spent most of their time on indirect patient care activities and relatively little time on direct patient care. Time‐motion studies of nonhospitalist physicians have reported similar findings.5, 6 A considerable amount of hospitalist time was spent on documentation. This finding also has been reported in studies of nonhospitalist physicians.5, 7
A unique finding in our study was the large amount of time, 24% of total minutes, spent on communication. A study of emergency medicine physicians by Hollingsworth found that 13% of their time was spent on communication activities.5 The large amount of time spent on communication in our study underscores the need for hospitalists to have outstanding communication skills and systems that support efficient communication. Hospitalists spent 6% of their total time paging other physicians and 7% returning pages. Improvements in the efficiency of paging communication could greatly reduce the amount of time communicating by page. Our paging system provides unidirectional alphanumeric paging. In an effort to improve the efficiency of paging, we have asked nurses and consultants to include FYI and callback in the text of the page so it is clear whether the person who has paged the hospitalist needs to be called back. This simple solution to help reduce the number of unnecessary callbacks has previously been proposed by others.8
Another part of solving this problem is adopting the use of 2‐way pagers instead of alphanumeric pagers. Two‐way paging can increase the efficiency of communication even further. For example, a nurse sends a hospitalist a page that asks if the previous diet orders for a patient just returned from a procedure can be resumed. This hospitalist is on another floor in another patient's room. Rather than spending time leaving the other patient's room, finding a phone, calling the floor, waiting for an answer, and then waiting on hold, the hospitalist simply texts a 1‐word answer, Yes, in the 2‐way paging system. In addition to the time occupied by paging activities, hospitalists spent a large amount of time in face‐to‐face communication (8% of total activity time). On the one hand, having hospitalists discuss patient care with consultants and nurses in person on an ongoing basis throughout the day may improve clinical efficiency. On the other hand, the constant potential for interruption may be problematic. Similarly, 2‐way paging could facilitate communication to such a degree that it could actually increase the frequency of interruptions. Research on improvements in communications systems, interventions to improve communication skills, and team‐based care is warranted in order to evaluate the impact on hospitalist workflow.
An important finding in our study was that multitasking and paging interruptions were common. Although this may come as no surprise to practicing hospitalists, the distraction caused by interruptions and multitasking is an important potential cause of medical errors.911 A thorough examination of the types of activities performed simultaneously and whether they contributed to medical error was beyond the scope of our study. Some activities, such as documenting a note on a patient while reviewing the patient's lab results, are concordant (ie, conducted for the same patient) and therefore may be unlikely to contribute to medical error. Other combinations of activities, such as returning a page about one patient while documenting a note on a different patient or having face‐to‐face communication about one patient while entering an order on another patient, are discordant. Discordant activities may contribute to medical error. Further research of the effect of hospitalist multitasking and interruption on medical error is warranted and should be conducted within the framework of concordant versus discordant activities.
We had hoped to find activities that could be performed by non‐physician providers. No high impact activities were discovered that would be better suited for a non‐physician provider in this study. Clerical tasks, such as calling for radiology orders or obtaining medical records, amounted to a small percentage of hospitalist time (less than 1% combined). We did identify several activities in which automation or process improvement would be helpful. Hospitalists spent 5% of time on the combined activity of documenting discharge instructions and writing out prescriptions. Our institution is in the process of implementing an electronic medical record and computerized physician order entry. We are currently working on an automated process to generate printed discharge instructions and prescriptions. This has the potential not only to improve efficiency, but also to eliminate medication errors, as care is transitioned to the outpatient setting.
Our study had several limitations. First, our findings reflect the experience at one institution. Hospitalist practices vary widely in their staffing and scheduling models as well as in their organizational support. The amount of time that hospitalists spend on activities may differ between practices and between individual hospitalists in the same practice. Another limitation to our study pertains to the workflow of our hospitalists and the locations of their patients. As discussed earlier, patients were assigned to a hospitalist according to time of admission, not location of admission. Because of this, the hospitalists were caring for patients on as many as 5 wards. Although travel time amounted to only 3% of total minutes, it is possible that communication time could have been reduced if patients were distributed to hospitalists on the basis of patient location rather than time of admission of patient. For example, physicians and nurses might spend less time communicating in person compared to communicating via unidirectional paging, which frequently requires waiting for a callback. Finally, our study only observed activities performed by the daytime hospitalists at our hospital. The distribution and types of activities performed by nighttime hospitalists may be somewhat different.
Our study may serve as a model for hospitalist time‐motion studies in other settings. Our findings are of particular importance to resident‐uncovered hospitalist programs in academic hospitals, a setting in which operational inefficiencies may be abundant as house staff members have been poorly positioned in the hospital organization to lobby for process change. We hope that our study is a precursor to research evaluating modifications to the environments and systems in which hospitalists work. Such modifications have the potential to improve productivity and work conditions and promote career satisfaction.
Acknowledgements
We thank Patricia Georgas for shadowing the hospitalists and collecting the data in this study.
The hospitalist model of care has experienced dramatic growth. In 2003 it was estimated that there were 8000 US hospitalists, a number projected to ultimately reach more than 19 000.1, 2 This rapid growth has largely been driven by improvements in clinical efficiency as a result of hospitalist programs. There is a substantial body of evidence showing that hospitalists reduce length of stay and inpatient costs.3 Despite the rapid growth and proven benefit to clinical efficiency, no studies have evaluated the type and frequency of activities that hospitalists perform during routine work. Although the use of hospitalists improves clinical efficiency for the hospital, relatively little is known about how the hospital can improve efficiency for the hospitalist.
Our institution greatly expanded our hospitalist program in June 2003 to create a resident‐uncovered hospitalist service. The impetus for this change was the need to comply with newly revised Accreditation Council for Graduate Medicine Education (ACGME) program requirements regarding resident duty hours. Many teaching hospitals have implemented similar resident‐uncovered hospitalist services.4 Inefficiencies in their work activities quickly became apparent to our hospitalists. Furthermore, our hospitalists believed that they frequently performed simultaneous activities and that they were excessively interrupted by pages.
To evaluate the type and frequency of activities that the hospitalists performed during routine work, we performed a time‐motion study of hospitalist physicians on the resident‐uncovered hospitalist service. Our goal was to identify areas for systems improvements and activities that were better suited for nonphysician providers and to quantify the time spent multitasking and the frequency of paging interruptions.
METHODS
Northwestern Memorial Hospital (NMH) is a 753‐bed hospital in Chicago, Illinois. NMH is the primary teaching hospital affiliated with the Feinberg School of Medicine of Northwestern University. There are 2 general medicine services at NMH: a traditional resident‐covered ward service and the resident‐uncovered hospitalist service. Patients are admitted to one of these 2 services on the basis of, in order of importance, capacity of the services, preference of the outpatient physician, and potential educational value of the admission. Patients admitted to the hospitalist service are preferentially given beds on specific wards intended for hospitalist service patients. Fourth‐year medical students are frequently paired with hospitalists during their medicine subinternship.
The resident‐uncovered hospitalist service comprises 5 daytime hospitalists on duty at a time. The hospitalists are on service for 7 consecutive days, usually followed by 7 consecutive days off. Hospitalists pick up new patients from the night float hospitalist each morning. Daytime admitting duties rotate on a daily basis. One hospitalist accepts new admissions each morning from 7:00 AM until noon. Two hospitalists accept admissions from noon until 5:00 PM. One hospitalist accepts admissions from 5:00 PM until 9:00 PM. One hospitalist is free from accepting new admissions each day. All daytime hospitalists begin the workday at 7:00 AM and leave when their duties are completed for the day. One night float hospitalist is on duty each night of the week. The night float hospitalist performs admissions and all cross cover activities from 7:00 PM until 7:00 AM.
We first conducted a pilot study to help identify specific activities that our hospitalists routinely perform. Broad categories and subcategories of activities were created based on the results of our pilot study, and a published time‐motion study performed on emergency medicine physicians5 (Table 1). Once activities were defined and codes established, our research assistant unobtrusively shadowed hospitalist physicians for periods lasting 3‐5 hours. The observation periods were distributed in order to sample all activities that a daytime hospitalist would perform throughout a typical week. Observation periods included 2 morning admitting periods, 4 morning nonadmitting periods, 4 afternoon admitting periods, 4 afternoon nonadmitting periods, and 2 admitting periods from 5:00 PM to 9:00 PM. Activities were recorded on a standardized data collection form in 1‐minute intervals. When multiple activities were performed at the same time, all activities were recorded in the same 1‐minute interval. Incoming pages were recorded as well. To minimize the possibility that observation would affect hospitalist behavior, the research assistant was instructed not to initiate conversation with the hospitalists.
Direct patient care |
Taking initial history and physical exam |
Seeing patient in follow‐up visit |
Going over discharge instructions |
Family meetings |
Indirect patient care |
Reviewing test results and medical records |
Documentation |
Documenting history and physical, daily notes, filling out discharge instructions, writing out prescriptions |
Communication |
Taking report from night float, taking admission report, face‐to‐face discussion, initiating and returning pages |
Orders |
Writing/emnputting orders, calling radiology |
Professional development |
Going to conferences, grand rounds, etc |
Reading articles, textbooks, online references |
Education |
Teaching during work rounds |
Didactic sessions with subintern |
Travel |
Walking, taking elevator, etc |
Personal |
Lunch, washroom break, etc. |
The data collection forms were manually abstracted and minutes tallied for each category and subcategory, for which summary statistics were converted to percentage of total minutes.
RESULTS
Ten hospitalists were shadowed by a single research assistant for a total of 4467 minutes. Seven hospitalists were male and 3 were female. The hospitalists were a mean age of 31 1.6 years of age and had been practicing as a hospitalist for a mean of 2.1 1.0 years. The hospitalists saw an average of 9.4 4.0 patients on the days they were shadowed by the research assistant. Because simultaneous activities were recorded, a total of 5557 minutes of activities were recorded.
The distribution of total minutes recorded in each activity category is shown in Figure 1. Hospitalists spent 18% of their time doing direct patient care, 69% on indirect patient care, 4% on personal activities, and 3% each on professional development, education, and travel.

Of the time hospitalists directly cared for patients, 18% was spent obtaining histories and performing physical examinations on new patients, 53% seeing patients in follow‐up visits, 16% going over discharge instructions, and 13% in family meetings (Figure 2). Of the time hospitalists spent doing indirect patient care, 37% was taken up by documentation, 21% by reviewing results, 7% by orders, and 35% by communication (Figure 2).

As just explained, communication accounted for 35% of indirect patient care activities; it also accounted for 24% of the total activity minutes. The time spent by hospitalists on communication was further broken down as 23% paging other physicians, 31% returning pages, 34% in face‐to‐face communication, 5% taking report on new admissions, 4% on sign‐out to the night float hospitalist, and 3% receiving sign‐out from the night float hospitalist.
Multitasking, performing more than 1 activity at the same time, was done 21% of the time. Hospitalists received an average of 3.4 1.5 pages per hour, and 7% of total activity time was spent returning pages. Other forms of interruption were not evaluated.
DISCUSSION
Our study had several important findings. First, hospitalists spent most of their time on indirect patient care activities and relatively little time on direct patient care. Time‐motion studies of nonhospitalist physicians have reported similar findings.5, 6 A considerable amount of hospitalist time was spent on documentation. This finding also has been reported in studies of nonhospitalist physicians.5, 7
A unique finding in our study was the large amount of time, 24% of total minutes, spent on communication. A study of emergency medicine physicians by Hollingsworth found that 13% of their time was spent on communication activities.5 The large amount of time spent on communication in our study underscores the need for hospitalists to have outstanding communication skills and systems that support efficient communication. Hospitalists spent 6% of their total time paging other physicians and 7% returning pages. Improvements in the efficiency of paging communication could greatly reduce the amount of time communicating by page. Our paging system provides unidirectional alphanumeric paging. In an effort to improve the efficiency of paging, we have asked nurses and consultants to include FYI and callback in the text of the page so it is clear whether the person who has paged the hospitalist needs to be called back. This simple solution to help reduce the number of unnecessary callbacks has previously been proposed by others.8
Another part of solving this problem is adopting the use of 2‐way pagers instead of alphanumeric pagers. Two‐way paging can increase the efficiency of communication even further. For example, a nurse sends a hospitalist a page that asks if the previous diet orders for a patient just returned from a procedure can be resumed. This hospitalist is on another floor in another patient's room. Rather than spending time leaving the other patient's room, finding a phone, calling the floor, waiting for an answer, and then waiting on hold, the hospitalist simply texts a 1‐word answer, Yes, in the 2‐way paging system. In addition to the time occupied by paging activities, hospitalists spent a large amount of time in face‐to‐face communication (8% of total activity time). On the one hand, having hospitalists discuss patient care with consultants and nurses in person on an ongoing basis throughout the day may improve clinical efficiency. On the other hand, the constant potential for interruption may be problematic. Similarly, 2‐way paging could facilitate communication to such a degree that it could actually increase the frequency of interruptions. Research on improvements in communications systems, interventions to improve communication skills, and team‐based care is warranted in order to evaluate the impact on hospitalist workflow.
An important finding in our study was that multitasking and paging interruptions were common. Although this may come as no surprise to practicing hospitalists, the distraction caused by interruptions and multitasking is an important potential cause of medical errors.911 A thorough examination of the types of activities performed simultaneously and whether they contributed to medical error was beyond the scope of our study. Some activities, such as documenting a note on a patient while reviewing the patient's lab results, are concordant (ie, conducted for the same patient) and therefore may be unlikely to contribute to medical error. Other combinations of activities, such as returning a page about one patient while documenting a note on a different patient or having face‐to‐face communication about one patient while entering an order on another patient, are discordant. Discordant activities may contribute to medical error. Further research of the effect of hospitalist multitasking and interruption on medical error is warranted and should be conducted within the framework of concordant versus discordant activities.
We had hoped to find activities that could be performed by non‐physician providers. No high impact activities were discovered that would be better suited for a non‐physician provider in this study. Clerical tasks, such as calling for radiology orders or obtaining medical records, amounted to a small percentage of hospitalist time (less than 1% combined). We did identify several activities in which automation or process improvement would be helpful. Hospitalists spent 5% of time on the combined activity of documenting discharge instructions and writing out prescriptions. Our institution is in the process of implementing an electronic medical record and computerized physician order entry. We are currently working on an automated process to generate printed discharge instructions and prescriptions. This has the potential not only to improve efficiency, but also to eliminate medication errors, as care is transitioned to the outpatient setting.
Our study had several limitations. First, our findings reflect the experience at one institution. Hospitalist practices vary widely in their staffing and scheduling models as well as in their organizational support. The amount of time that hospitalists spend on activities may differ between practices and between individual hospitalists in the same practice. Another limitation to our study pertains to the workflow of our hospitalists and the locations of their patients. As discussed earlier, patients were assigned to a hospitalist according to time of admission, not location of admission. Because of this, the hospitalists were caring for patients on as many as 5 wards. Although travel time amounted to only 3% of total minutes, it is possible that communication time could have been reduced if patients were distributed to hospitalists on the basis of patient location rather than time of admission of patient. For example, physicians and nurses might spend less time communicating in person compared to communicating via unidirectional paging, which frequently requires waiting for a callback. Finally, our study only observed activities performed by the daytime hospitalists at our hospital. The distribution and types of activities performed by nighttime hospitalists may be somewhat different.
Our study may serve as a model for hospitalist time‐motion studies in other settings. Our findings are of particular importance to resident‐uncovered hospitalist programs in academic hospitals, a setting in which operational inefficiencies may be abundant as house staff members have been poorly positioned in the hospital organization to lobby for process change. We hope that our study is a precursor to research evaluating modifications to the environments and systems in which hospitalists work. Such modifications have the potential to improve productivity and work conditions and promote career satisfaction.
Acknowledgements
We thank Patricia Georgas for shadowing the hospitalists and collecting the data in this study.
- Society of Hospital Medicine. Available at http://www.hospitalmedicine.org/AM/Template.cfm?Section=FAQs106:441–445.
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- Hospitalists in teaching hospitals: opportunities but not without danger.J Gen Intern Med.2004;4:392–393. , .
- How do physicians and nurses spend their time in the Emergency Department?Ann Emerg Med.1998;31:97–91. , , , , .
- A time‐motion study of the activities of attending physicians in an Internal Medicine and Internal Medicine‐Pediatrics resident continuity clinic.Acad Med.2000;75:1138–1143. , , , , .
- Work interrupted: a comparison of workplace interruptions in emergency departments and primary care offices.Ann Emerg Med.2001;38:146–151. , , , .
- Residents' suggestions for reducing errors in teaching hospitals.N Engl J Med.2003;348:851–855. , .
- Emergency department workplace interruptions: are emergency physicians “interrupt‐driven” and “multitasking”?Acad Emerg Med.2000;7:1239–243. , , , .
- Understanding medical error and improving patient safety in the inpatient setting.Med Clin N Am.2002;86:847–867. , , .
- Sharps‐related injuries in health care workers: a case‐crossover study.Am J Med.2003;114:687–694. , , , .
- Society of Hospital Medicine. Available at http://www.hospitalmedicine.org/AM/Template.cfm?Section=FAQs106:441–445.
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- Hospitalists in teaching hospitals: opportunities but not without danger.J Gen Intern Med.2004;4:392–393. , .
- How do physicians and nurses spend their time in the Emergency Department?Ann Emerg Med.1998;31:97–91. , , , , .
- A time‐motion study of the activities of attending physicians in an Internal Medicine and Internal Medicine‐Pediatrics resident continuity clinic.Acad Med.2000;75:1138–1143. , , , , .
- Work interrupted: a comparison of workplace interruptions in emergency departments and primary care offices.Ann Emerg Med.2001;38:146–151. , , , .
- Residents' suggestions for reducing errors in teaching hospitals.N Engl J Med.2003;348:851–855. , .
- Emergency department workplace interruptions: are emergency physicians “interrupt‐driven” and “multitasking”?Acad Emerg Med.2000;7:1239–243. , , , .
- Understanding medical error and improving patient safety in the inpatient setting.Med Clin N Am.2002;86:847–867. , , .
- Sharps‐related injuries in health care workers: a case‐crossover study.Am J Med.2003;114:687–694. , , , .
Copyright © 2006 Society of Hospital Medicine
Acute Aortic Dissection
Aortic dissection is an uncommon but highly lethal disease with an incidence of approximately 2,000 cases per year in the United States.1 It is often mistaken for less serious pathology. In one series, aortic dissection was missed in 38% of patients at presentation, with 28% of patients first diagnosed at autopsy.2 Early recognition and management are crucial. If untreated, the mortality rate for acute aortic dissection increases by approximately 1% per hour over the first 48 hours and may reach 70% at 1 week. As many as 90% of untreated patients who suffer aortic dissection die within 3 months of presentation.3, 4 Generally, cardiothoracic surgeons or cardiologists experienced with managing aortic dissection should direct patient evaluation and treatment. Hospitalists, however, are increasingly assuming responsibility for the initial triage and management of patients with acute chest pain syndromes and therefore must be able to rapidly identify aortic dissection, initiate supportive therapy, and refer patients to appropriate specialty care.
PATHOPHYSIOLOGY
Aortic dissection occurs when layers of the aortic wall separate because of infiltration of high‐pressure arterial blood. The proximate causes are elevated shear stress across the aortic lumen in the setting of a concomitant defect in the aortic media. Shear stress is caused by the rapid increase in luminal pressure per unit of time (dP/dt) that results from cardiac systole. As the aorta traverses away from the heart, an increasing proportion of the kinetic energy of left ventricular systole is stored in the aortic wall as potential energy, which facilitates anterograde propagation of cardiac output during diastole. This conversion of kinetic to potential energy also attenuates shear stress. As the proximal aorta is subject to the steepest fluctuations in pressure, it is at the highest risk of dissection. Degeneration of the aortic media is part of the normal aging process but is accelerated in persons with a bicuspid aortic valve, Turner's syndrome, inflammatory arteritis, or inherited diseases of collagen formation.
Once the aortic intima is compromised, blood dissects longitudinally through the aortic media and propagates proximally or distally, creating a false lumen that may communicate with the true lumen of the aorta. Blood may flow through the true lumen, the false lumen, or both. Propagation of the dissection causes much of the morbidity associated with aortic dissection by disrupting blood flow across branch vessels or by directly compromising the pericardium or aortic valve. Over time, the dissection may traverse the entire aortic wall, causing aortic rupture and exsanguination.
CLASSIFICATION
Acute aortic dissection is classified as any aortic dissection diagnosed within 2 weeks of the onset of symptoms, which is the period of highest risk of mortality. Patients who survive more than 2 weeks without treatment are considered to have chronic dissection. Aortic dissections are further classified according to their anatomic location. The fundamental distinction is whether the dissection is proximal (involving the aortic root or ascending aorta) or distal (below the left subclavian artery). The Stanford and DeBakey classification systems are the classification systems most commonly used (Figure 1).

Some variants of aortic dissection are not described in either the Stanford or DeBakey systems. Aortic intramural hematomas (IMH) are caused by intramural hemorrhage of the vasa vasorum without an identifiable intimal tear.57 Penetrating atherosclerotic ulcers (PAUs) are focal defects in the aortic wall with surrounding hematoma but no longitudinal dissection across tissue planes, typically resulting from advanced atherosclerotic disease.8 The pathophysiologic distinctions between IMH, PAU, and classic aortic dissection remain somewhat controversial. Both IMH and PAU may progress to aortic aneurysm formation, frank dissection, or aortic rupture, suggesting that these entities represent a spectrum of diseases with broad overlap (Table 1).9, 10
Acuity | |
Acute <2 weeks after onset | |
Chronic: >2 weeks after onset | |
Anatomic location: | |
Ascending aorta: | Stanford Type A, Debakey Type II |
Ascending and descending aorta: | Stanford Type A, Debakey Type I |
Descending aorta: | Stanford Type B, Debakey Type III |
Pathophysiology: | |
Class 1: Classical aortic dissection with initimal flap between true and false lumen | |
Class 2: Aortic intramural hematoma without identifiable intimal flap | |
Class 3: Intimal tear without hematoma (limited dissection) | |
Class 4: Atherosclerotic plaque rupture with aortic penetrating ulcer | |
Class 5: Iatrogenic or traumatic aortic dissection (intra‐aortic catherterization, high‐speed deceleration injury, blunt chest trauma) |
EPIDEMIOLOGY
Aortic dissection is a rare disease, with an estimated incidence of approximately 5‐30 cases per 1 million people per year.1114 Fewer than 0.5% of patients presenting to an emergency department with chest or back pain suffer from aortic dissection.15 Two thirds of patients are male, with an average age at presentation of approximately 65 years. A history of systemic hypertension, found in up to 72% of patients, is by far the most common risk factor.2, 14, 16 Atherosclerosis, a history of prior cardiac surgery, and known aortic aneurysm are other major risk factors.14 The epidemiology of aortic dissection is substantially different in young patients (<40 years of age). Hypertension and atherosclerosis become significantly less common, as other risk factors, such as Marfan syndrome, take precedence17 (Table 2). Other risk factors for aortic dissection include:
-
Collagen diseases (eg, Marfan syndrome and Ehlers‐Danlos): In the International Registry of Acute Aortic Dissection (IRAD), the largest prospective analysis of aortic dissection to date, 50% of the young patients presenting with aortic dissection had Marfan syndrome.17
-
Bicuspid aortic valve (BAV): Individuals with BAV are 5‐18 times more likely to suffer aortic dissection than those with a trileaflet valve.18, 19 In one survey, 52% of asymptomatic young men with BAV were found to have aortic root dilatation, a frequent precursor of dissection.20 Vascular tissue in individuals with BAV has been found to have increased levels of matrix metalloproteinases, which may degrade elastic matrix components and accelerate medial necrosis.21
-
Aortic coarctation: Aortic coarctation is associated with upper extremity hypertension, BAV and aortic dilatation, all of which predispose to aortic dissection.
-
Turner syndrome: Aortic root dilatation with or without dissection has been incidentally noted in 6%‐9% of patients with Turner syndrome.22, 23
-
Strenuous exercise: Multiple case reports have associated aortic dissection with high‐intensity weightlifting. Many affected individuals were subsequently found to have at least one other risk factor, including hypertension, anabolic steroid abuse, and cocaine abuse.2426
-
Large vessel arteritis: Large vessel arteritides, specifically giant cell arteritis, Takayasu's disease, and tertiary syphilis have long been associated with aortic dilatation and dissection.
-
Cocaine and methamphetamine ingestion: Sympathomimetic drugs cause rapid increases in heart rate and blood pressure, markedly increasing aortic intraluminal shear stress. Furthermore, cocaine is thought to be directly toxic to vascular endothelium and may accelerate medial necrosis.2730
-
Third trimester pregnancy, especially in patients with diseases of collagen31; The significance of pregnancy has recently been called into question by data from the IRAD trial. Of 346 enrolled women with aortic dissection, only 2 were pregnant, suggesting that the previously held association of pregnancy with aortic dissection may be an artifact of selective reporting.1
-
Blunt chest trauma or high‐speed deceleration injury.
-
Iatrogenic injury, typically from intra‐aortic catheterization.
Hypertension |
Atherosclerotic disease |
History of cardiac surgery |
Aortic aneurysm |
Collagen diseases (eg, Marfan syndrome and Ehlers‐Danlos) |
Bicuspid aortic valve (BAV) |
Aortic coarctation |
Turner syndrome |
Strenuous exercise |
Large vessel arteritis: giant cell, Takayasu's, syphilis |
Cocaine and methamphetamine ingestion |
Third‐trimester pregnancy |
Blunt chest trauma or high‐speed deceleration injury |
Iatrogenic injury, typically from intra‐aortic catheterization |
INITIAL EVALUATION
The differential diagnosis for acute aortic dissection includes acute coronary syndrome, pulmonary embolus, pneumothorax, pneumonia, musculoskeletal pain, acute cholecystitis, esophageal spasm or rupture, acute pancreatitis, and acute pericarditis. Acute aortic dissections are rarely asymptomatic; in fact, the absence of sudden‐onset chest pain decreases the likelihood of dissection (negative LR 0.3).32 In the IRAD trial, approximately 95% of patients with aortic dissection complained of pain in the chest, back, or abdomen, with 90% characterizing their pain as either severe or the worst ever and 64% describing it as sharp.14 Although the presence of tearing or ripping chest or back pain suggests aortic dissection (positive LR 1.2‐10.8), its absence does not reliably exclude this diagnosis.32 The wide variability in the presentation of aortic dissection increases the challenge of establishing a diagnosis. Clinical findings depend largely on the anatomical location of the dissection and may include pulse deficits, neurologic deficits, hypotension, hypertension, and end‐organ ischemia. Women who develop aortic dissection are generally older and present later than men. Their symptoms are less typical and are likely to be confounded by altered mental status.1 A diagnosis of aortic dissection should be strongly considered for patients presenting with acute chest or back pain and otherwise unexplained aortic insufficiency, focal neurologic deficits, pulse deficits, or end‐organ injury (Table 3).
Hypotension or shock due to: |
a. Hemopericardium and pericardial tamponade |
b. Acute aortic insufficiency due to dilatation of the aortic annulus |
c. Aortic rupture |
d. Lactic acidosis |
e. Spinal shock |
Acute myocardial ischemia/emnfarction due to coronary ostial occlusion |
Pericardial friction rub due to hemopericardium |
Syncope |
Pleural effusion or frank hemothorax |
Acute renal failure due to dissection across renal arteries |
Mesenteric ischemia due to dissection across intra‐abdominal arteries |
Neurologic deficits: |
a. Stroke due to occlusion of arch vessels |
b. Limb weakness |
c. Spinal cord deficits due to cord ischemia |
d. Horner syndrome due to compression of superior sympathetic ganglion. |
e. Hoarseness due to compression of left recurrent laryngeal nerve |
Electrocardiogram: Electrocardiographic abnormalities are commonly seen in aortic dissection and may include ST‐segment or T‐wave abnormalities or left ventricular hypertrophy.14 Proximal aortic dissections may compromise coronary artery perfusion, generating electrocardiogram (ECG) findings compatible with acute myocardial infarction, which may lead the clinician to diagnose and treat myocardial infarction while missing the underlying diagnosis.33 In a recent survey, 9 of 44 patients (21%) presenting with acute aortic dissection were initially diagnosed with acute coronary syndrome and anticoagulated, with 2 deaths.34 ECGs must therefore be interpreted with extreme caution in aortic dissection.
Chest x‐ray: In the emergency department, chest radiography is a mainstay of the evaluation of acute chest pain. Unfortunately, plain‐film radiography has limited utility for diagnosing aortic dissection.35 In the IRAD trial, mediastinal widening (>8 cm) and abnormal aortic contour, the classic radiographic findings in aortic dissection, were present in only 50%‐60% of cases. Twelve percent of patients had a completely normal chest x‐ray.14 A pooled analysis of previous studies demonstrated that the sensitivity of widened mediastinum and abnormal aortic contour was 65% and 71%, respectively.32 Nonspecific radiographic findings, most notably pleural effusion, were common.36 Thus, if the index of suspicion for aortic dissection is elevated, a confirmatory study must be obtained (Figure 2).

Clinical Prediction Tool
Three clinical features were demonstrated to be effective in identifying aortic dissection in patients presenting with acute chest or back pain: immediate onset of tearing or ripping chest pain, mediastinal widening or aortic enlargement/displacement observed on chest x‐ray, and arm pulse or blood pressure differential exceeding 20 mm Hg. When all 3 findings were absent, dissection was unlikely (7% probability, negative LR 0.07 [CI 0.03‐0.17]). If either chest pain or radiographic findings were present, the likelihood was intermediate (31%‐39% probability). With any other combination of findings, dissection was likely (83‐100% probability). This prediction tool effectively identified 96% of all patients who presented to an emergency department with acute aortic dissection.15 However, 4% of patients categorized as low risk were ultimately diagnosed with aortic dissection. Given the exceptionally high mortality resulting from a missed diagnosis, a 4% false‐negative rate is unacceptably high. Thus, the absence of any of the aforementioned findings should not dissuade the clinician from obtaining a confirmatory imaging study if the pretest probability for acute aortic dissection is elevated.
CONFIRMATORY IMAGING STUDIES
The ideal confirmatory imaging modality should identify aortic dissection with high sensitivity and specificity. It should also identify the entry and exit points of the dissection and provide information about the extent of compromise of the aortic valve, pericardium, and great vessels. Four imaging modalities sufficiently meet these criteria in order to be considered diagnostically useful.
Aortography: Previously the gold standard for diagnosing aortic dissection, aortography is no longer a first‐line imaging modality. The sensitivity and specificity of aortography are at best equivalent and probably inferior to less invasive imaging modalities.37, 38 False negatives may occur if both the true and false lumens opacify equally with contrast, or if the false lumen is sufficiently thrombosed to preclude any instillation of contrast. Aortography cannot identify aortic intramural hematomas, is invasive and highly operator dependent, requires nephrotoxic contrast, and generally takes longer to obtain than other modalities.39
Aortography uniquely offers excellent visualization of the coronary arteries and great vessels and is preferred when such information is necessary. Percutaneous aortic endovascular stent grafting has been recently employed to repair distal aortic dissections.4043 As a result, aortography is gaining new life as a therapeutic modality.
CT angiography: Spiral CT angiography (CTA) is the most commonly used modality for diagnosing aortic dissection.44 It is emergently available at most hospitals, and images can be obtained in minutes. Sensitivity and specificity may approach 100%, and CTA may be more sensitive than MRA or TEE in evaluating arch vessel involvement.4547 Like conventional angiography, CTA requires administration of nephrotoxic contrast. It frequently cannot visualize the entry and exit sites (intimal flaps) of a dissection and provides limited information about the coronary arteries and no information about the competency of the aortic valve.48, 49 Thus, if aortic dissection is identified by CTA, a second study may be needed to provide further diagnostic information and to guide surgical intervention (Figures 3 and 4).


Magnetic Resonance Angiography: Magnetic resonance angiography (MRA) offers excellent noninvasive evaluation of the thoracic aorta. Sensitivity and specificity are probably superior to spiral CTA, and MRA generally identifies the location of the intimal tear and provides some functional information about the aortic valve.44, 50, 51 MRA is not emergently available at many hospitals. Scanning is time intensive, requiring the patient to remain motionless and relatively inaccessible for up to an hour. Furthermore, patient claustrophobia and the presence of implanted devices such as pacemakers or ferromagnetic foreign bodies may preclude MRA.
Transesophageal echocardiography: The sensitivity and specificity of transesophageal echocardiography (TEE) are also excellenton a par with CTA and MRA. In addition to providing excellent visualization of the thoracic aorta, TEE provides superb images of the pericardium and detailed assessment of aortic valve function.52 It also is extremely effective at visualizing the aortic intimal flap.44, 49, 53 A significant advantage of TEE is its portability, allowing rapid diagnosis at the bedside. For this reason, it is particularly useful for evaluation of patients who are hemodynamically unstable and are suspected to have an aortic dissection. Because of the anatomic relationship of the aorta with the esophagus and the trachea, TEE more effectively identifies proximal than distal dissections.43 TEE is also somewhat invasive, usually requires patient sedation, and is highly operator dependent, requiring the availability of an experienced and technically skilled operator (Figure 5).

Transthoracic echocardiography: Although it is an excellent tool for the evaluation of many aspects of cardiac anatomy and function, surface echocardiography can reliably visualize only limited portions of the ascending and descending aorta.54, 55 As a consequence, it is neither sensitive nor specific enough to diagnose aortic dissection. Transthoracic echocardiography (TTE) does, however, play a role in rapidly assessing patients at the bedside for aortic valve or pericardial compromise when these complications are suspected.
Recommendations
CTA, MRA, and TEE are all highly sensitive and specific modalities for diagnosing aortic dissection. Therefore, the condition of the patient, the information needed, and the resources and expertise immediately available should drive the choice of study. MRA is considered the gold standard diagnostic study and is the preferred modality for hemodynamically stable patients with suspected aortic dissection. Because of slow data acquisition and the inaccessibility of patients in the scanner, it is generally unsuited for unstable patients, including those with ongoing pain. Bedside TEE is an excellent choice for patients who are too unstable for MRA but is less effective at visualizing distal dissections. Arch aortography is generally reserved for the confirmation of questionable diagnoses or to image specific branch arteries (Tables 4 and 5).
Overall | Proximal | Distal | |
---|---|---|---|
| |||
TEE | 88% | 90% | 80% |
CTA | 93% | 93% | 93% |
MRA | 100% | 100% | 100% |
Aortogram | 87% | 87% | 87% |
TEE | CTA | MRA | Aortography | |
---|---|---|---|---|
| ||||
Sensitivity | ++ | ++ | +++ | ++ |
Specificity | +++ | ++ | +++ | ++ |
Classification | +++ | ++ | ++ | + |
Intimal flap | +++ | ‐ | ++ | + |
Aortic regurgitation | +++ | ++ | ++ | |
Pericardial effusion | +++ | ++ | ++ | |
Branch vessel involvement | + | ++ | ++ | +++ |
Coronary artery involvement | ++ | + | + | +++ |
Most trials comparing CTA, MRA, and TEE were performed in the early 1990s. Computed tomography has evolved significantly over the intervening decade, and some of the diagnostic limitations previously ascribed to CTA, such as the inability to generate 3‐D reconstructed images, no longer exist. Furthermore, CT angiography is widely available and is gaining increasing acceptance as a first‐line imaging modality for patients with noncardiac chest pain.48 Medical centers that maintain round‐the‐clock CT capability may have limited or delayed access to TEE, MRA, or aortography. Given the potential for rapid and dramatic patient deterioration, it is imperative that a diagnosis be established quickly when aortic dissection is suspected. Thus, when the choice is obtaining an immediate CTA or a delayed TEE or MRA, CTA is generally the better choice (Figure 6).

MANAGEMENT
Acute Management:
Approximately half of all patients who present with acute aortic dissection are acutely hypertensive.14 Hypertensive aortic dissection is a hypertensive emergency that mandates immediate decrease in blood pressure to the lowest level that maintains organ perfusion. As a rule, short‐acting, parenteral, titratable antihypertensive agents should be used (Table 6). Intravenous beta‐adrenergic blockers are the mainstay of acute and chronic therapy. Their negative inotropic and chronotropic effects decrease shear stress across the aortic lumen and decrease the likelihood of dissection propagation and aortic dilatation.56, 57 Parenteral vasodilators (eg, nitroprusside and nitroglycerin) should be initiated if beta‐blockers prove insufficient for lowering blood pressure. They should never be used alone, as they may cause reflex tachycardia and consequently may increase intraluminal shear stress. The use of opiates for analgesia and benzodiazepines for anxiolysis further decreases blood pressure by controlling the severe pain and anxiety often associated with acute dissection.
Name | Mechanism | Dose | Cautions/contraindications |
---|---|---|---|
Esmolol | Cardioselective beta‐1 blocker | Load: 500 g/kg IV | Asthma or bronchospasm |
Drip: 50 g kg1 min1 IV. | Bradycardia | ||
Increase by increments of 50 g/min | 2nd‐ or 3rd‐degree AV block | ||
Cocaine or methamphetamine abuse | |||
Labetalol | Nonselective beta 1,2 blocker | Load: 20 mg IV | Asthma or bronchospasm |
Selective alpha‐1 blocker | Drip: 2 mg/min IV | Bradycardia | |
2nd or 3rd degree AV block | |||
Cocaine or methamphetamine abuse | |||
Enalaprilat | ACE inhibitor | 0.625‐1.25 mg IV q 6 hours. | Angioedema |
Max dose: 5 mg q 6 hours. | Pregnancy | ||
Renal artery stenosis | |||
Severe renal insufficiency | |||
Nitroprusside | Direct arterial vasodilator | Begin at 0.3 g kg1 min1 IV. | May cause reflex tachycardia |
Max dose 10 g kg1 min1 | Cyanide/thiocyanate toxicityespecially in renal or hepatic insufficiency | ||
Nitroglycerin | Vascular smooth muscle relaxation | 5‐200 g/min IV | Decreases preloadcontraindicated in tamponade or other preload‐dependent states |
Concomitant use of sildenafil or similar agents |
Hypotension or shock, which develop in 15%‐30% of patients with acute aortic dissection, are ominous findings that frequently portends impending hemodynamic collapse.14, 58 Patients who develop hypotension are at a fivefold increased risk of death (55.0% vs. 10.3%) and are at markedly increased risk of developing neurologic deficits, as well as myocardial, mesenteric, and limb ischemia. Hypotension may result from pump failure (due to acute aortic insufficiency, pericardial tamponade, or myocardial ischemia), aortic rupture, systemic lactic acidosis, or spinal shock. Bedside transthoracic echocardiography may be particularly useful for the evaluation of hypotensive patients, as it can be used to quickly and noninvasively determine the integrity of the aortic valve and pericardium. Although hypotension may transiently respond to volume resuscitation, all hypotensive patients with aortic dissection, regardless of type, should be immediately referred for emergent surgical evaluation. Pericardiocentesis in the setting of pericardial tamponade remains controversial; a small study suggested that decompression of the pericardial sac may hasten hemodynamic collapse by accelerating blood loss.59
Facilities that do not maintain urgent cardiopulmonary bypass capability should emergently transport patients with aortic dissection to a facility that provides a higher level of care. Transfer should not be delayed to confirm a questionable diagnosis. Proximal aortic dissection frequently compromises the pericardium, aortic valve, and arch vessels, and therefore emergent surgical repair is indicated. When treated medically, proximal dissection carries a dismal 60% in‐hospital mortality rate.14, 60 In contrast, distal aortic dissection is generally treated medically, with surgical intervention generally reserved for patients with an expanding aortic aneurysm, elevated risk of aortic rupture, refractory hypertension, intractable pain, visceral hypoperfusion, and limb ischemia or paresis.11, 61, 62 Individual branch vessel occlusion may be effectively ameliorated with conventional arterial stenting or balloon fenestration.
Endovascular stent grafting has been used successfully in lieu of surgery for patients with acute or chronic distal (type B) aortic dissections.39, 4042, 63 The stent graft is deployed across the proximal intimal tear, obliterating the false lumen and facilitating aortic healing. Early studies suggested that endovascular stent grafting may be safer and more efficacious than conventional surgical repair of distal dissection.41 A recent meta‐analysis of published trials of endovascular aortic stenting found procedural success rates exceeding 95% and a major complication rate of 11%. Thirty‐day mortality was approximately 5%, with 6‐, 12‐ and 24‐month mortality rates plateauing at 10%. Centers with high patient volume had fewer complications and much lower acute mortality rates.14, 64 These medium‐term outcomes compare favorably with conventional therapy. Endovascular stenting has not been prospectively compared against conventional therapy in randomized trials, and it therefore remains unclear who should be referred for endovascular stenting instead of conventional therapy.
Long‐term Management
Survivors of aortic dissection, especially those with diseases of collagen, have a systemic disease that predisposes them to further aortic and great vessel events. Almost one third of survivors of acute aortic dissection will develop dissection propagation or aortic rupture or will require aortic surgery within 5 years of presentation.41, 60 Young patients who present for aortic dissection should be screened for Marfan syndrome according to the Gent nosology.65 To reduce shear stress to the aortic lumen, all patients should be treated with beta‐blockers for life, with blood pressure targeted to be below 135/80.60, 66 Patients who do not tolerate beta blockade may benefit from treatment with diltiazem or verapamil. Progression to aortic aneurysm is common, and patients should undergo serial imaging of the aorta at 1, 3, 6, and 12 months after discharge and annually thereafter. Dilatation of the proximal aorta to >5.0 cm and of the distal aorta to >6.0 cm should prompt referral for surgical or possibly endovascular repair.41, 67 Although supporting data are limited, it is generally accepted that patients should moderate their physical activity to avoid extremes of tachycardia and blood pressure elevation. Sports that involve high speed or sudden deceleration, such as ice hockey, downhill skiing, and football, should be strictly avoided. Patients should be warned to seek immediate medical attention if they develop recurrent chest or back pain or focal neurologic deficits.
PROGNOSIS
Despite significant medical and surgical advances, aortic dissection remains exceptionally lethal. Patients with proximal dissections are more likely to die than those with distal dissections. Using data from the IRAD trial, Mehta et al determined that age 70 years (OR, 1.70), abrupt onset of chest pain (OR 2.60), hypotension/shock/tamponade (OR, 2.97), renal failure (OR, 4.77), pulse deficit (OR, 2.03), and abnormal ECG (OR, 1.77) were independent determinants of death.59 Medical treatment of proximal dissection is generally reserved for patients too ill, unstable, or frail to undergo surgery. In contrast, most patients with distal dissection are managed medically, with surgery generally reserved for those with acute complications. Hence, patients with proximal dissections who are managed medically and those with distal dissections who are managed surgically have the worst outcomes. Outcomes for women are worse than those for men, which is probably attributable to several factors. Women dissect at an older age, present later after the onset of symptoms, and are more likely to have confounding symptoms that may delay timely diagnosis1 (Table 7).
Proximal (DeBakey I, II; Stanford A) | Distal (DeBakey III; Stanford B) | |||
---|---|---|---|---|
Surgical | Medical | Surgical | Medical | |
In‐hospital mortality | 26% | 58% | 31% | 11% |
Average | 35% | 15% |
CONCLUSION
Aortic dissection is a rare and acutely life‐threatening cause of acute chest and back pain. Delays in diagnosis and misdiagnoses are common, frequently with catastrophic consequences. The key to diagnosis is maintaining a high index of suspicion for dissection, especially in patients who present with acute severe chest, back, or abdominal pain in the setting of unexplained acute pulse deficits, neurologic deficits, or acute end‐organ injury. Three clinical findings have been shown to be diagnostically useful: immediate onset of tearing or ripping chest or back pain, mediastinal widening or abnormal aortic contour on chest radiograph, and peripheral pulse deficits or variable pulse pressure (>20 mm Hg). If all 3 findings are absent, acute aortic dissection is unlikely. The presence of any of these findings should prompt further workup. A normal chest radiograph does not rule out aortic dissection. Only TEE, CT, and MR angiography are sufficiently specific to rule out dissection. Aortography is rarely used as a first‐line diagnostic tool but may be useful as a confirmatory test or to provide additional anatomic information. Patients who present with proximal aortic dissection or with any aortic dissection with concomitant hypotension are at exceptionally high risk of death and should be immediately referred for surgical evaluation. Beta‐blockers are the mainstay of acute and chronic therapy of aortic dissection. Survivors of aortic dissection are at a markedly elevated risk for further aortic events and should be followed vigilantly posthospitalization.
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- Further delineation of aortic dilation, dissection, and rupture in patients with Turner syndrome.Pediatrics.1998;102(1):e12. , , .
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- Weight lifting and type II aortic dissection. A case report.J Sports Med Phys Fitness.2004;44:424–427. , .
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- Cocaine‐associated dissection of the thoracic aorta.J Emerg Med.1992;10:723–727. , .
- Methamphetamine as a risk factor for acute aortic dissection.J Forensic Sci.1999;44(1):23–26. , .
- Arterial dissections associated with pregnancy.J Vasc Surg.1995;21:515–520. , , , , , .
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Aortic dissection is an uncommon but highly lethal disease with an incidence of approximately 2,000 cases per year in the United States.1 It is often mistaken for less serious pathology. In one series, aortic dissection was missed in 38% of patients at presentation, with 28% of patients first diagnosed at autopsy.2 Early recognition and management are crucial. If untreated, the mortality rate for acute aortic dissection increases by approximately 1% per hour over the first 48 hours and may reach 70% at 1 week. As many as 90% of untreated patients who suffer aortic dissection die within 3 months of presentation.3, 4 Generally, cardiothoracic surgeons or cardiologists experienced with managing aortic dissection should direct patient evaluation and treatment. Hospitalists, however, are increasingly assuming responsibility for the initial triage and management of patients with acute chest pain syndromes and therefore must be able to rapidly identify aortic dissection, initiate supportive therapy, and refer patients to appropriate specialty care.
PATHOPHYSIOLOGY
Aortic dissection occurs when layers of the aortic wall separate because of infiltration of high‐pressure arterial blood. The proximate causes are elevated shear stress across the aortic lumen in the setting of a concomitant defect in the aortic media. Shear stress is caused by the rapid increase in luminal pressure per unit of time (dP/dt) that results from cardiac systole. As the aorta traverses away from the heart, an increasing proportion of the kinetic energy of left ventricular systole is stored in the aortic wall as potential energy, which facilitates anterograde propagation of cardiac output during diastole. This conversion of kinetic to potential energy also attenuates shear stress. As the proximal aorta is subject to the steepest fluctuations in pressure, it is at the highest risk of dissection. Degeneration of the aortic media is part of the normal aging process but is accelerated in persons with a bicuspid aortic valve, Turner's syndrome, inflammatory arteritis, or inherited diseases of collagen formation.
Once the aortic intima is compromised, blood dissects longitudinally through the aortic media and propagates proximally or distally, creating a false lumen that may communicate with the true lumen of the aorta. Blood may flow through the true lumen, the false lumen, or both. Propagation of the dissection causes much of the morbidity associated with aortic dissection by disrupting blood flow across branch vessels or by directly compromising the pericardium or aortic valve. Over time, the dissection may traverse the entire aortic wall, causing aortic rupture and exsanguination.
CLASSIFICATION
Acute aortic dissection is classified as any aortic dissection diagnosed within 2 weeks of the onset of symptoms, which is the period of highest risk of mortality. Patients who survive more than 2 weeks without treatment are considered to have chronic dissection. Aortic dissections are further classified according to their anatomic location. The fundamental distinction is whether the dissection is proximal (involving the aortic root or ascending aorta) or distal (below the left subclavian artery). The Stanford and DeBakey classification systems are the classification systems most commonly used (Figure 1).

Some variants of aortic dissection are not described in either the Stanford or DeBakey systems. Aortic intramural hematomas (IMH) are caused by intramural hemorrhage of the vasa vasorum without an identifiable intimal tear.57 Penetrating atherosclerotic ulcers (PAUs) are focal defects in the aortic wall with surrounding hematoma but no longitudinal dissection across tissue planes, typically resulting from advanced atherosclerotic disease.8 The pathophysiologic distinctions between IMH, PAU, and classic aortic dissection remain somewhat controversial. Both IMH and PAU may progress to aortic aneurysm formation, frank dissection, or aortic rupture, suggesting that these entities represent a spectrum of diseases with broad overlap (Table 1).9, 10
Acuity | |
Acute <2 weeks after onset | |
Chronic: >2 weeks after onset | |
Anatomic location: | |
Ascending aorta: | Stanford Type A, Debakey Type II |
Ascending and descending aorta: | Stanford Type A, Debakey Type I |
Descending aorta: | Stanford Type B, Debakey Type III |
Pathophysiology: | |
Class 1: Classical aortic dissection with initimal flap between true and false lumen | |
Class 2: Aortic intramural hematoma without identifiable intimal flap | |
Class 3: Intimal tear without hematoma (limited dissection) | |
Class 4: Atherosclerotic plaque rupture with aortic penetrating ulcer | |
Class 5: Iatrogenic or traumatic aortic dissection (intra‐aortic catherterization, high‐speed deceleration injury, blunt chest trauma) |
EPIDEMIOLOGY
Aortic dissection is a rare disease, with an estimated incidence of approximately 5‐30 cases per 1 million people per year.1114 Fewer than 0.5% of patients presenting to an emergency department with chest or back pain suffer from aortic dissection.15 Two thirds of patients are male, with an average age at presentation of approximately 65 years. A history of systemic hypertension, found in up to 72% of patients, is by far the most common risk factor.2, 14, 16 Atherosclerosis, a history of prior cardiac surgery, and known aortic aneurysm are other major risk factors.14 The epidemiology of aortic dissection is substantially different in young patients (<40 years of age). Hypertension and atherosclerosis become significantly less common, as other risk factors, such as Marfan syndrome, take precedence17 (Table 2). Other risk factors for aortic dissection include:
-
Collagen diseases (eg, Marfan syndrome and Ehlers‐Danlos): In the International Registry of Acute Aortic Dissection (IRAD), the largest prospective analysis of aortic dissection to date, 50% of the young patients presenting with aortic dissection had Marfan syndrome.17
-
Bicuspid aortic valve (BAV): Individuals with BAV are 5‐18 times more likely to suffer aortic dissection than those with a trileaflet valve.18, 19 In one survey, 52% of asymptomatic young men with BAV were found to have aortic root dilatation, a frequent precursor of dissection.20 Vascular tissue in individuals with BAV has been found to have increased levels of matrix metalloproteinases, which may degrade elastic matrix components and accelerate medial necrosis.21
-
Aortic coarctation: Aortic coarctation is associated with upper extremity hypertension, BAV and aortic dilatation, all of which predispose to aortic dissection.
-
Turner syndrome: Aortic root dilatation with or without dissection has been incidentally noted in 6%‐9% of patients with Turner syndrome.22, 23
-
Strenuous exercise: Multiple case reports have associated aortic dissection with high‐intensity weightlifting. Many affected individuals were subsequently found to have at least one other risk factor, including hypertension, anabolic steroid abuse, and cocaine abuse.2426
-
Large vessel arteritis: Large vessel arteritides, specifically giant cell arteritis, Takayasu's disease, and tertiary syphilis have long been associated with aortic dilatation and dissection.
-
Cocaine and methamphetamine ingestion: Sympathomimetic drugs cause rapid increases in heart rate and blood pressure, markedly increasing aortic intraluminal shear stress. Furthermore, cocaine is thought to be directly toxic to vascular endothelium and may accelerate medial necrosis.2730
-
Third trimester pregnancy, especially in patients with diseases of collagen31; The significance of pregnancy has recently been called into question by data from the IRAD trial. Of 346 enrolled women with aortic dissection, only 2 were pregnant, suggesting that the previously held association of pregnancy with aortic dissection may be an artifact of selective reporting.1
-
Blunt chest trauma or high‐speed deceleration injury.
-
Iatrogenic injury, typically from intra‐aortic catheterization.
Hypertension |
Atherosclerotic disease |
History of cardiac surgery |
Aortic aneurysm |
Collagen diseases (eg, Marfan syndrome and Ehlers‐Danlos) |
Bicuspid aortic valve (BAV) |
Aortic coarctation |
Turner syndrome |
Strenuous exercise |
Large vessel arteritis: giant cell, Takayasu's, syphilis |
Cocaine and methamphetamine ingestion |
Third‐trimester pregnancy |
Blunt chest trauma or high‐speed deceleration injury |
Iatrogenic injury, typically from intra‐aortic catheterization |
INITIAL EVALUATION
The differential diagnosis for acute aortic dissection includes acute coronary syndrome, pulmonary embolus, pneumothorax, pneumonia, musculoskeletal pain, acute cholecystitis, esophageal spasm or rupture, acute pancreatitis, and acute pericarditis. Acute aortic dissections are rarely asymptomatic; in fact, the absence of sudden‐onset chest pain decreases the likelihood of dissection (negative LR 0.3).32 In the IRAD trial, approximately 95% of patients with aortic dissection complained of pain in the chest, back, or abdomen, with 90% characterizing their pain as either severe or the worst ever and 64% describing it as sharp.14 Although the presence of tearing or ripping chest or back pain suggests aortic dissection (positive LR 1.2‐10.8), its absence does not reliably exclude this diagnosis.32 The wide variability in the presentation of aortic dissection increases the challenge of establishing a diagnosis. Clinical findings depend largely on the anatomical location of the dissection and may include pulse deficits, neurologic deficits, hypotension, hypertension, and end‐organ ischemia. Women who develop aortic dissection are generally older and present later than men. Their symptoms are less typical and are likely to be confounded by altered mental status.1 A diagnosis of aortic dissection should be strongly considered for patients presenting with acute chest or back pain and otherwise unexplained aortic insufficiency, focal neurologic deficits, pulse deficits, or end‐organ injury (Table 3).
Hypotension or shock due to: |
a. Hemopericardium and pericardial tamponade |
b. Acute aortic insufficiency due to dilatation of the aortic annulus |
c. Aortic rupture |
d. Lactic acidosis |
e. Spinal shock |
Acute myocardial ischemia/emnfarction due to coronary ostial occlusion |
Pericardial friction rub due to hemopericardium |
Syncope |
Pleural effusion or frank hemothorax |
Acute renal failure due to dissection across renal arteries |
Mesenteric ischemia due to dissection across intra‐abdominal arteries |
Neurologic deficits: |
a. Stroke due to occlusion of arch vessels |
b. Limb weakness |
c. Spinal cord deficits due to cord ischemia |
d. Horner syndrome due to compression of superior sympathetic ganglion. |
e. Hoarseness due to compression of left recurrent laryngeal nerve |
Electrocardiogram: Electrocardiographic abnormalities are commonly seen in aortic dissection and may include ST‐segment or T‐wave abnormalities or left ventricular hypertrophy.14 Proximal aortic dissections may compromise coronary artery perfusion, generating electrocardiogram (ECG) findings compatible with acute myocardial infarction, which may lead the clinician to diagnose and treat myocardial infarction while missing the underlying diagnosis.33 In a recent survey, 9 of 44 patients (21%) presenting with acute aortic dissection were initially diagnosed with acute coronary syndrome and anticoagulated, with 2 deaths.34 ECGs must therefore be interpreted with extreme caution in aortic dissection.
Chest x‐ray: In the emergency department, chest radiography is a mainstay of the evaluation of acute chest pain. Unfortunately, plain‐film radiography has limited utility for diagnosing aortic dissection.35 In the IRAD trial, mediastinal widening (>8 cm) and abnormal aortic contour, the classic radiographic findings in aortic dissection, were present in only 50%‐60% of cases. Twelve percent of patients had a completely normal chest x‐ray.14 A pooled analysis of previous studies demonstrated that the sensitivity of widened mediastinum and abnormal aortic contour was 65% and 71%, respectively.32 Nonspecific radiographic findings, most notably pleural effusion, were common.36 Thus, if the index of suspicion for aortic dissection is elevated, a confirmatory study must be obtained (Figure 2).

Clinical Prediction Tool
Three clinical features were demonstrated to be effective in identifying aortic dissection in patients presenting with acute chest or back pain: immediate onset of tearing or ripping chest pain, mediastinal widening or aortic enlargement/displacement observed on chest x‐ray, and arm pulse or blood pressure differential exceeding 20 mm Hg. When all 3 findings were absent, dissection was unlikely (7% probability, negative LR 0.07 [CI 0.03‐0.17]). If either chest pain or radiographic findings were present, the likelihood was intermediate (31%‐39% probability). With any other combination of findings, dissection was likely (83‐100% probability). This prediction tool effectively identified 96% of all patients who presented to an emergency department with acute aortic dissection.15 However, 4% of patients categorized as low risk were ultimately diagnosed with aortic dissection. Given the exceptionally high mortality resulting from a missed diagnosis, a 4% false‐negative rate is unacceptably high. Thus, the absence of any of the aforementioned findings should not dissuade the clinician from obtaining a confirmatory imaging study if the pretest probability for acute aortic dissection is elevated.
CONFIRMATORY IMAGING STUDIES
The ideal confirmatory imaging modality should identify aortic dissection with high sensitivity and specificity. It should also identify the entry and exit points of the dissection and provide information about the extent of compromise of the aortic valve, pericardium, and great vessels. Four imaging modalities sufficiently meet these criteria in order to be considered diagnostically useful.
Aortography: Previously the gold standard for diagnosing aortic dissection, aortography is no longer a first‐line imaging modality. The sensitivity and specificity of aortography are at best equivalent and probably inferior to less invasive imaging modalities.37, 38 False negatives may occur if both the true and false lumens opacify equally with contrast, or if the false lumen is sufficiently thrombosed to preclude any instillation of contrast. Aortography cannot identify aortic intramural hematomas, is invasive and highly operator dependent, requires nephrotoxic contrast, and generally takes longer to obtain than other modalities.39
Aortography uniquely offers excellent visualization of the coronary arteries and great vessels and is preferred when such information is necessary. Percutaneous aortic endovascular stent grafting has been recently employed to repair distal aortic dissections.4043 As a result, aortography is gaining new life as a therapeutic modality.
CT angiography: Spiral CT angiography (CTA) is the most commonly used modality for diagnosing aortic dissection.44 It is emergently available at most hospitals, and images can be obtained in minutes. Sensitivity and specificity may approach 100%, and CTA may be more sensitive than MRA or TEE in evaluating arch vessel involvement.4547 Like conventional angiography, CTA requires administration of nephrotoxic contrast. It frequently cannot visualize the entry and exit sites (intimal flaps) of a dissection and provides limited information about the coronary arteries and no information about the competency of the aortic valve.48, 49 Thus, if aortic dissection is identified by CTA, a second study may be needed to provide further diagnostic information and to guide surgical intervention (Figures 3 and 4).


Magnetic Resonance Angiography: Magnetic resonance angiography (MRA) offers excellent noninvasive evaluation of the thoracic aorta. Sensitivity and specificity are probably superior to spiral CTA, and MRA generally identifies the location of the intimal tear and provides some functional information about the aortic valve.44, 50, 51 MRA is not emergently available at many hospitals. Scanning is time intensive, requiring the patient to remain motionless and relatively inaccessible for up to an hour. Furthermore, patient claustrophobia and the presence of implanted devices such as pacemakers or ferromagnetic foreign bodies may preclude MRA.
Transesophageal echocardiography: The sensitivity and specificity of transesophageal echocardiography (TEE) are also excellenton a par with CTA and MRA. In addition to providing excellent visualization of the thoracic aorta, TEE provides superb images of the pericardium and detailed assessment of aortic valve function.52 It also is extremely effective at visualizing the aortic intimal flap.44, 49, 53 A significant advantage of TEE is its portability, allowing rapid diagnosis at the bedside. For this reason, it is particularly useful for evaluation of patients who are hemodynamically unstable and are suspected to have an aortic dissection. Because of the anatomic relationship of the aorta with the esophagus and the trachea, TEE more effectively identifies proximal than distal dissections.43 TEE is also somewhat invasive, usually requires patient sedation, and is highly operator dependent, requiring the availability of an experienced and technically skilled operator (Figure 5).

Transthoracic echocardiography: Although it is an excellent tool for the evaluation of many aspects of cardiac anatomy and function, surface echocardiography can reliably visualize only limited portions of the ascending and descending aorta.54, 55 As a consequence, it is neither sensitive nor specific enough to diagnose aortic dissection. Transthoracic echocardiography (TTE) does, however, play a role in rapidly assessing patients at the bedside for aortic valve or pericardial compromise when these complications are suspected.
Recommendations
CTA, MRA, and TEE are all highly sensitive and specific modalities for diagnosing aortic dissection. Therefore, the condition of the patient, the information needed, and the resources and expertise immediately available should drive the choice of study. MRA is considered the gold standard diagnostic study and is the preferred modality for hemodynamically stable patients with suspected aortic dissection. Because of slow data acquisition and the inaccessibility of patients in the scanner, it is generally unsuited for unstable patients, including those with ongoing pain. Bedside TEE is an excellent choice for patients who are too unstable for MRA but is less effective at visualizing distal dissections. Arch aortography is generally reserved for the confirmation of questionable diagnoses or to image specific branch arteries (Tables 4 and 5).
Overall | Proximal | Distal | |
---|---|---|---|
| |||
TEE | 88% | 90% | 80% |
CTA | 93% | 93% | 93% |
MRA | 100% | 100% | 100% |
Aortogram | 87% | 87% | 87% |
TEE | CTA | MRA | Aortography | |
---|---|---|---|---|
| ||||
Sensitivity | ++ | ++ | +++ | ++ |
Specificity | +++ | ++ | +++ | ++ |
Classification | +++ | ++ | ++ | + |
Intimal flap | +++ | ‐ | ++ | + |
Aortic regurgitation | +++ | ++ | ++ | |
Pericardial effusion | +++ | ++ | ++ | |
Branch vessel involvement | + | ++ | ++ | +++ |
Coronary artery involvement | ++ | + | + | +++ |
Most trials comparing CTA, MRA, and TEE were performed in the early 1990s. Computed tomography has evolved significantly over the intervening decade, and some of the diagnostic limitations previously ascribed to CTA, such as the inability to generate 3‐D reconstructed images, no longer exist. Furthermore, CT angiography is widely available and is gaining increasing acceptance as a first‐line imaging modality for patients with noncardiac chest pain.48 Medical centers that maintain round‐the‐clock CT capability may have limited or delayed access to TEE, MRA, or aortography. Given the potential for rapid and dramatic patient deterioration, it is imperative that a diagnosis be established quickly when aortic dissection is suspected. Thus, when the choice is obtaining an immediate CTA or a delayed TEE or MRA, CTA is generally the better choice (Figure 6).

MANAGEMENT
Acute Management:
Approximately half of all patients who present with acute aortic dissection are acutely hypertensive.14 Hypertensive aortic dissection is a hypertensive emergency that mandates immediate decrease in blood pressure to the lowest level that maintains organ perfusion. As a rule, short‐acting, parenteral, titratable antihypertensive agents should be used (Table 6). Intravenous beta‐adrenergic blockers are the mainstay of acute and chronic therapy. Their negative inotropic and chronotropic effects decrease shear stress across the aortic lumen and decrease the likelihood of dissection propagation and aortic dilatation.56, 57 Parenteral vasodilators (eg, nitroprusside and nitroglycerin) should be initiated if beta‐blockers prove insufficient for lowering blood pressure. They should never be used alone, as they may cause reflex tachycardia and consequently may increase intraluminal shear stress. The use of opiates for analgesia and benzodiazepines for anxiolysis further decreases blood pressure by controlling the severe pain and anxiety often associated with acute dissection.
Name | Mechanism | Dose | Cautions/contraindications |
---|---|---|---|
Esmolol | Cardioselective beta‐1 blocker | Load: 500 g/kg IV | Asthma or bronchospasm |
Drip: 50 g kg1 min1 IV. | Bradycardia | ||
Increase by increments of 50 g/min | 2nd‐ or 3rd‐degree AV block | ||
Cocaine or methamphetamine abuse | |||
Labetalol | Nonselective beta 1,2 blocker | Load: 20 mg IV | Asthma or bronchospasm |
Selective alpha‐1 blocker | Drip: 2 mg/min IV | Bradycardia | |
2nd or 3rd degree AV block | |||
Cocaine or methamphetamine abuse | |||
Enalaprilat | ACE inhibitor | 0.625‐1.25 mg IV q 6 hours. | Angioedema |
Max dose: 5 mg q 6 hours. | Pregnancy | ||
Renal artery stenosis | |||
Severe renal insufficiency | |||
Nitroprusside | Direct arterial vasodilator | Begin at 0.3 g kg1 min1 IV. | May cause reflex tachycardia |
Max dose 10 g kg1 min1 | Cyanide/thiocyanate toxicityespecially in renal or hepatic insufficiency | ||
Nitroglycerin | Vascular smooth muscle relaxation | 5‐200 g/min IV | Decreases preloadcontraindicated in tamponade or other preload‐dependent states |
Concomitant use of sildenafil or similar agents |
Hypotension or shock, which develop in 15%‐30% of patients with acute aortic dissection, are ominous findings that frequently portends impending hemodynamic collapse.14, 58 Patients who develop hypotension are at a fivefold increased risk of death (55.0% vs. 10.3%) and are at markedly increased risk of developing neurologic deficits, as well as myocardial, mesenteric, and limb ischemia. Hypotension may result from pump failure (due to acute aortic insufficiency, pericardial tamponade, or myocardial ischemia), aortic rupture, systemic lactic acidosis, or spinal shock. Bedside transthoracic echocardiography may be particularly useful for the evaluation of hypotensive patients, as it can be used to quickly and noninvasively determine the integrity of the aortic valve and pericardium. Although hypotension may transiently respond to volume resuscitation, all hypotensive patients with aortic dissection, regardless of type, should be immediately referred for emergent surgical evaluation. Pericardiocentesis in the setting of pericardial tamponade remains controversial; a small study suggested that decompression of the pericardial sac may hasten hemodynamic collapse by accelerating blood loss.59
Facilities that do not maintain urgent cardiopulmonary bypass capability should emergently transport patients with aortic dissection to a facility that provides a higher level of care. Transfer should not be delayed to confirm a questionable diagnosis. Proximal aortic dissection frequently compromises the pericardium, aortic valve, and arch vessels, and therefore emergent surgical repair is indicated. When treated medically, proximal dissection carries a dismal 60% in‐hospital mortality rate.14, 60 In contrast, distal aortic dissection is generally treated medically, with surgical intervention generally reserved for patients with an expanding aortic aneurysm, elevated risk of aortic rupture, refractory hypertension, intractable pain, visceral hypoperfusion, and limb ischemia or paresis.11, 61, 62 Individual branch vessel occlusion may be effectively ameliorated with conventional arterial stenting or balloon fenestration.
Endovascular stent grafting has been used successfully in lieu of surgery for patients with acute or chronic distal (type B) aortic dissections.39, 4042, 63 The stent graft is deployed across the proximal intimal tear, obliterating the false lumen and facilitating aortic healing. Early studies suggested that endovascular stent grafting may be safer and more efficacious than conventional surgical repair of distal dissection.41 A recent meta‐analysis of published trials of endovascular aortic stenting found procedural success rates exceeding 95% and a major complication rate of 11%. Thirty‐day mortality was approximately 5%, with 6‐, 12‐ and 24‐month mortality rates plateauing at 10%. Centers with high patient volume had fewer complications and much lower acute mortality rates.14, 64 These medium‐term outcomes compare favorably with conventional therapy. Endovascular stenting has not been prospectively compared against conventional therapy in randomized trials, and it therefore remains unclear who should be referred for endovascular stenting instead of conventional therapy.
Long‐term Management
Survivors of aortic dissection, especially those with diseases of collagen, have a systemic disease that predisposes them to further aortic and great vessel events. Almost one third of survivors of acute aortic dissection will develop dissection propagation or aortic rupture or will require aortic surgery within 5 years of presentation.41, 60 Young patients who present for aortic dissection should be screened for Marfan syndrome according to the Gent nosology.65 To reduce shear stress to the aortic lumen, all patients should be treated with beta‐blockers for life, with blood pressure targeted to be below 135/80.60, 66 Patients who do not tolerate beta blockade may benefit from treatment with diltiazem or verapamil. Progression to aortic aneurysm is common, and patients should undergo serial imaging of the aorta at 1, 3, 6, and 12 months after discharge and annually thereafter. Dilatation of the proximal aorta to >5.0 cm and of the distal aorta to >6.0 cm should prompt referral for surgical or possibly endovascular repair.41, 67 Although supporting data are limited, it is generally accepted that patients should moderate their physical activity to avoid extremes of tachycardia and blood pressure elevation. Sports that involve high speed or sudden deceleration, such as ice hockey, downhill skiing, and football, should be strictly avoided. Patients should be warned to seek immediate medical attention if they develop recurrent chest or back pain or focal neurologic deficits.
PROGNOSIS
Despite significant medical and surgical advances, aortic dissection remains exceptionally lethal. Patients with proximal dissections are more likely to die than those with distal dissections. Using data from the IRAD trial, Mehta et al determined that age 70 years (OR, 1.70), abrupt onset of chest pain (OR 2.60), hypotension/shock/tamponade (OR, 2.97), renal failure (OR, 4.77), pulse deficit (OR, 2.03), and abnormal ECG (OR, 1.77) were independent determinants of death.59 Medical treatment of proximal dissection is generally reserved for patients too ill, unstable, or frail to undergo surgery. In contrast, most patients with distal dissection are managed medically, with surgery generally reserved for those with acute complications. Hence, patients with proximal dissections who are managed medically and those with distal dissections who are managed surgically have the worst outcomes. Outcomes for women are worse than those for men, which is probably attributable to several factors. Women dissect at an older age, present later after the onset of symptoms, and are more likely to have confounding symptoms that may delay timely diagnosis1 (Table 7).
Proximal (DeBakey I, II; Stanford A) | Distal (DeBakey III; Stanford B) | |||
---|---|---|---|---|
Surgical | Medical | Surgical | Medical | |
In‐hospital mortality | 26% | 58% | 31% | 11% |
Average | 35% | 15% |
CONCLUSION
Aortic dissection is a rare and acutely life‐threatening cause of acute chest and back pain. Delays in diagnosis and misdiagnoses are common, frequently with catastrophic consequences. The key to diagnosis is maintaining a high index of suspicion for dissection, especially in patients who present with acute severe chest, back, or abdominal pain in the setting of unexplained acute pulse deficits, neurologic deficits, or acute end‐organ injury. Three clinical findings have been shown to be diagnostically useful: immediate onset of tearing or ripping chest or back pain, mediastinal widening or abnormal aortic contour on chest radiograph, and peripheral pulse deficits or variable pulse pressure (>20 mm Hg). If all 3 findings are absent, acute aortic dissection is unlikely. The presence of any of these findings should prompt further workup. A normal chest radiograph does not rule out aortic dissection. Only TEE, CT, and MR angiography are sufficiently specific to rule out dissection. Aortography is rarely used as a first‐line diagnostic tool but may be useful as a confirmatory test or to provide additional anatomic information. Patients who present with proximal aortic dissection or with any aortic dissection with concomitant hypotension are at exceptionally high risk of death and should be immediately referred for surgical evaluation. Beta‐blockers are the mainstay of acute and chronic therapy of aortic dissection. Survivors of aortic dissection are at a markedly elevated risk for further aortic events and should be followed vigilantly posthospitalization.
Aortic dissection is an uncommon but highly lethal disease with an incidence of approximately 2,000 cases per year in the United States.1 It is often mistaken for less serious pathology. In one series, aortic dissection was missed in 38% of patients at presentation, with 28% of patients first diagnosed at autopsy.2 Early recognition and management are crucial. If untreated, the mortality rate for acute aortic dissection increases by approximately 1% per hour over the first 48 hours and may reach 70% at 1 week. As many as 90% of untreated patients who suffer aortic dissection die within 3 months of presentation.3, 4 Generally, cardiothoracic surgeons or cardiologists experienced with managing aortic dissection should direct patient evaluation and treatment. Hospitalists, however, are increasingly assuming responsibility for the initial triage and management of patients with acute chest pain syndromes and therefore must be able to rapidly identify aortic dissection, initiate supportive therapy, and refer patients to appropriate specialty care.
PATHOPHYSIOLOGY
Aortic dissection occurs when layers of the aortic wall separate because of infiltration of high‐pressure arterial blood. The proximate causes are elevated shear stress across the aortic lumen in the setting of a concomitant defect in the aortic media. Shear stress is caused by the rapid increase in luminal pressure per unit of time (dP/dt) that results from cardiac systole. As the aorta traverses away from the heart, an increasing proportion of the kinetic energy of left ventricular systole is stored in the aortic wall as potential energy, which facilitates anterograde propagation of cardiac output during diastole. This conversion of kinetic to potential energy also attenuates shear stress. As the proximal aorta is subject to the steepest fluctuations in pressure, it is at the highest risk of dissection. Degeneration of the aortic media is part of the normal aging process but is accelerated in persons with a bicuspid aortic valve, Turner's syndrome, inflammatory arteritis, or inherited diseases of collagen formation.
Once the aortic intima is compromised, blood dissects longitudinally through the aortic media and propagates proximally or distally, creating a false lumen that may communicate with the true lumen of the aorta. Blood may flow through the true lumen, the false lumen, or both. Propagation of the dissection causes much of the morbidity associated with aortic dissection by disrupting blood flow across branch vessels or by directly compromising the pericardium or aortic valve. Over time, the dissection may traverse the entire aortic wall, causing aortic rupture and exsanguination.
CLASSIFICATION
Acute aortic dissection is classified as any aortic dissection diagnosed within 2 weeks of the onset of symptoms, which is the period of highest risk of mortality. Patients who survive more than 2 weeks without treatment are considered to have chronic dissection. Aortic dissections are further classified according to their anatomic location. The fundamental distinction is whether the dissection is proximal (involving the aortic root or ascending aorta) or distal (below the left subclavian artery). The Stanford and DeBakey classification systems are the classification systems most commonly used (Figure 1).

Some variants of aortic dissection are not described in either the Stanford or DeBakey systems. Aortic intramural hematomas (IMH) are caused by intramural hemorrhage of the vasa vasorum without an identifiable intimal tear.57 Penetrating atherosclerotic ulcers (PAUs) are focal defects in the aortic wall with surrounding hematoma but no longitudinal dissection across tissue planes, typically resulting from advanced atherosclerotic disease.8 The pathophysiologic distinctions between IMH, PAU, and classic aortic dissection remain somewhat controversial. Both IMH and PAU may progress to aortic aneurysm formation, frank dissection, or aortic rupture, suggesting that these entities represent a spectrum of diseases with broad overlap (Table 1).9, 10
Acuity | |
Acute <2 weeks after onset | |
Chronic: >2 weeks after onset | |
Anatomic location: | |
Ascending aorta: | Stanford Type A, Debakey Type II |
Ascending and descending aorta: | Stanford Type A, Debakey Type I |
Descending aorta: | Stanford Type B, Debakey Type III |
Pathophysiology: | |
Class 1: Classical aortic dissection with initimal flap between true and false lumen | |
Class 2: Aortic intramural hematoma without identifiable intimal flap | |
Class 3: Intimal tear without hematoma (limited dissection) | |
Class 4: Atherosclerotic plaque rupture with aortic penetrating ulcer | |
Class 5: Iatrogenic or traumatic aortic dissection (intra‐aortic catherterization, high‐speed deceleration injury, blunt chest trauma) |
EPIDEMIOLOGY
Aortic dissection is a rare disease, with an estimated incidence of approximately 5‐30 cases per 1 million people per year.1114 Fewer than 0.5% of patients presenting to an emergency department with chest or back pain suffer from aortic dissection.15 Two thirds of patients are male, with an average age at presentation of approximately 65 years. A history of systemic hypertension, found in up to 72% of patients, is by far the most common risk factor.2, 14, 16 Atherosclerosis, a history of prior cardiac surgery, and known aortic aneurysm are other major risk factors.14 The epidemiology of aortic dissection is substantially different in young patients (<40 years of age). Hypertension and atherosclerosis become significantly less common, as other risk factors, such as Marfan syndrome, take precedence17 (Table 2). Other risk factors for aortic dissection include:
-
Collagen diseases (eg, Marfan syndrome and Ehlers‐Danlos): In the International Registry of Acute Aortic Dissection (IRAD), the largest prospective analysis of aortic dissection to date, 50% of the young patients presenting with aortic dissection had Marfan syndrome.17
-
Bicuspid aortic valve (BAV): Individuals with BAV are 5‐18 times more likely to suffer aortic dissection than those with a trileaflet valve.18, 19 In one survey, 52% of asymptomatic young men with BAV were found to have aortic root dilatation, a frequent precursor of dissection.20 Vascular tissue in individuals with BAV has been found to have increased levels of matrix metalloproteinases, which may degrade elastic matrix components and accelerate medial necrosis.21
-
Aortic coarctation: Aortic coarctation is associated with upper extremity hypertension, BAV and aortic dilatation, all of which predispose to aortic dissection.
-
Turner syndrome: Aortic root dilatation with or without dissection has been incidentally noted in 6%‐9% of patients with Turner syndrome.22, 23
-
Strenuous exercise: Multiple case reports have associated aortic dissection with high‐intensity weightlifting. Many affected individuals were subsequently found to have at least one other risk factor, including hypertension, anabolic steroid abuse, and cocaine abuse.2426
-
Large vessel arteritis: Large vessel arteritides, specifically giant cell arteritis, Takayasu's disease, and tertiary syphilis have long been associated with aortic dilatation and dissection.
-
Cocaine and methamphetamine ingestion: Sympathomimetic drugs cause rapid increases in heart rate and blood pressure, markedly increasing aortic intraluminal shear stress. Furthermore, cocaine is thought to be directly toxic to vascular endothelium and may accelerate medial necrosis.2730
-
Third trimester pregnancy, especially in patients with diseases of collagen31; The significance of pregnancy has recently been called into question by data from the IRAD trial. Of 346 enrolled women with aortic dissection, only 2 were pregnant, suggesting that the previously held association of pregnancy with aortic dissection may be an artifact of selective reporting.1
-
Blunt chest trauma or high‐speed deceleration injury.
-
Iatrogenic injury, typically from intra‐aortic catheterization.
Hypertension |
Atherosclerotic disease |
History of cardiac surgery |
Aortic aneurysm |
Collagen diseases (eg, Marfan syndrome and Ehlers‐Danlos) |
Bicuspid aortic valve (BAV) |
Aortic coarctation |
Turner syndrome |
Strenuous exercise |
Large vessel arteritis: giant cell, Takayasu's, syphilis |
Cocaine and methamphetamine ingestion |
Third‐trimester pregnancy |
Blunt chest trauma or high‐speed deceleration injury |
Iatrogenic injury, typically from intra‐aortic catheterization |
INITIAL EVALUATION
The differential diagnosis for acute aortic dissection includes acute coronary syndrome, pulmonary embolus, pneumothorax, pneumonia, musculoskeletal pain, acute cholecystitis, esophageal spasm or rupture, acute pancreatitis, and acute pericarditis. Acute aortic dissections are rarely asymptomatic; in fact, the absence of sudden‐onset chest pain decreases the likelihood of dissection (negative LR 0.3).32 In the IRAD trial, approximately 95% of patients with aortic dissection complained of pain in the chest, back, or abdomen, with 90% characterizing their pain as either severe or the worst ever and 64% describing it as sharp.14 Although the presence of tearing or ripping chest or back pain suggests aortic dissection (positive LR 1.2‐10.8), its absence does not reliably exclude this diagnosis.32 The wide variability in the presentation of aortic dissection increases the challenge of establishing a diagnosis. Clinical findings depend largely on the anatomical location of the dissection and may include pulse deficits, neurologic deficits, hypotension, hypertension, and end‐organ ischemia. Women who develop aortic dissection are generally older and present later than men. Their symptoms are less typical and are likely to be confounded by altered mental status.1 A diagnosis of aortic dissection should be strongly considered for patients presenting with acute chest or back pain and otherwise unexplained aortic insufficiency, focal neurologic deficits, pulse deficits, or end‐organ injury (Table 3).
Hypotension or shock due to: |
a. Hemopericardium and pericardial tamponade |
b. Acute aortic insufficiency due to dilatation of the aortic annulus |
c. Aortic rupture |
d. Lactic acidosis |
e. Spinal shock |
Acute myocardial ischemia/emnfarction due to coronary ostial occlusion |
Pericardial friction rub due to hemopericardium |
Syncope |
Pleural effusion or frank hemothorax |
Acute renal failure due to dissection across renal arteries |
Mesenteric ischemia due to dissection across intra‐abdominal arteries |
Neurologic deficits: |
a. Stroke due to occlusion of arch vessels |
b. Limb weakness |
c. Spinal cord deficits due to cord ischemia |
d. Horner syndrome due to compression of superior sympathetic ganglion. |
e. Hoarseness due to compression of left recurrent laryngeal nerve |
Electrocardiogram: Electrocardiographic abnormalities are commonly seen in aortic dissection and may include ST‐segment or T‐wave abnormalities or left ventricular hypertrophy.14 Proximal aortic dissections may compromise coronary artery perfusion, generating electrocardiogram (ECG) findings compatible with acute myocardial infarction, which may lead the clinician to diagnose and treat myocardial infarction while missing the underlying diagnosis.33 In a recent survey, 9 of 44 patients (21%) presenting with acute aortic dissection were initially diagnosed with acute coronary syndrome and anticoagulated, with 2 deaths.34 ECGs must therefore be interpreted with extreme caution in aortic dissection.
Chest x‐ray: In the emergency department, chest radiography is a mainstay of the evaluation of acute chest pain. Unfortunately, plain‐film radiography has limited utility for diagnosing aortic dissection.35 In the IRAD trial, mediastinal widening (>8 cm) and abnormal aortic contour, the classic radiographic findings in aortic dissection, were present in only 50%‐60% of cases. Twelve percent of patients had a completely normal chest x‐ray.14 A pooled analysis of previous studies demonstrated that the sensitivity of widened mediastinum and abnormal aortic contour was 65% and 71%, respectively.32 Nonspecific radiographic findings, most notably pleural effusion, were common.36 Thus, if the index of suspicion for aortic dissection is elevated, a confirmatory study must be obtained (Figure 2).

Clinical Prediction Tool
Three clinical features were demonstrated to be effective in identifying aortic dissection in patients presenting with acute chest or back pain: immediate onset of tearing or ripping chest pain, mediastinal widening or aortic enlargement/displacement observed on chest x‐ray, and arm pulse or blood pressure differential exceeding 20 mm Hg. When all 3 findings were absent, dissection was unlikely (7% probability, negative LR 0.07 [CI 0.03‐0.17]). If either chest pain or radiographic findings were present, the likelihood was intermediate (31%‐39% probability). With any other combination of findings, dissection was likely (83‐100% probability). This prediction tool effectively identified 96% of all patients who presented to an emergency department with acute aortic dissection.15 However, 4% of patients categorized as low risk were ultimately diagnosed with aortic dissection. Given the exceptionally high mortality resulting from a missed diagnosis, a 4% false‐negative rate is unacceptably high. Thus, the absence of any of the aforementioned findings should not dissuade the clinician from obtaining a confirmatory imaging study if the pretest probability for acute aortic dissection is elevated.
CONFIRMATORY IMAGING STUDIES
The ideal confirmatory imaging modality should identify aortic dissection with high sensitivity and specificity. It should also identify the entry and exit points of the dissection and provide information about the extent of compromise of the aortic valve, pericardium, and great vessels. Four imaging modalities sufficiently meet these criteria in order to be considered diagnostically useful.
Aortography: Previously the gold standard for diagnosing aortic dissection, aortography is no longer a first‐line imaging modality. The sensitivity and specificity of aortography are at best equivalent and probably inferior to less invasive imaging modalities.37, 38 False negatives may occur if both the true and false lumens opacify equally with contrast, or if the false lumen is sufficiently thrombosed to preclude any instillation of contrast. Aortography cannot identify aortic intramural hematomas, is invasive and highly operator dependent, requires nephrotoxic contrast, and generally takes longer to obtain than other modalities.39
Aortography uniquely offers excellent visualization of the coronary arteries and great vessels and is preferred when such information is necessary. Percutaneous aortic endovascular stent grafting has been recently employed to repair distal aortic dissections.4043 As a result, aortography is gaining new life as a therapeutic modality.
CT angiography: Spiral CT angiography (CTA) is the most commonly used modality for diagnosing aortic dissection.44 It is emergently available at most hospitals, and images can be obtained in minutes. Sensitivity and specificity may approach 100%, and CTA may be more sensitive than MRA or TEE in evaluating arch vessel involvement.4547 Like conventional angiography, CTA requires administration of nephrotoxic contrast. It frequently cannot visualize the entry and exit sites (intimal flaps) of a dissection and provides limited information about the coronary arteries and no information about the competency of the aortic valve.48, 49 Thus, if aortic dissection is identified by CTA, a second study may be needed to provide further diagnostic information and to guide surgical intervention (Figures 3 and 4).


Magnetic Resonance Angiography: Magnetic resonance angiography (MRA) offers excellent noninvasive evaluation of the thoracic aorta. Sensitivity and specificity are probably superior to spiral CTA, and MRA generally identifies the location of the intimal tear and provides some functional information about the aortic valve.44, 50, 51 MRA is not emergently available at many hospitals. Scanning is time intensive, requiring the patient to remain motionless and relatively inaccessible for up to an hour. Furthermore, patient claustrophobia and the presence of implanted devices such as pacemakers or ferromagnetic foreign bodies may preclude MRA.
Transesophageal echocardiography: The sensitivity and specificity of transesophageal echocardiography (TEE) are also excellenton a par with CTA and MRA. In addition to providing excellent visualization of the thoracic aorta, TEE provides superb images of the pericardium and detailed assessment of aortic valve function.52 It also is extremely effective at visualizing the aortic intimal flap.44, 49, 53 A significant advantage of TEE is its portability, allowing rapid diagnosis at the bedside. For this reason, it is particularly useful for evaluation of patients who are hemodynamically unstable and are suspected to have an aortic dissection. Because of the anatomic relationship of the aorta with the esophagus and the trachea, TEE more effectively identifies proximal than distal dissections.43 TEE is also somewhat invasive, usually requires patient sedation, and is highly operator dependent, requiring the availability of an experienced and technically skilled operator (Figure 5).

Transthoracic echocardiography: Although it is an excellent tool for the evaluation of many aspects of cardiac anatomy and function, surface echocardiography can reliably visualize only limited portions of the ascending and descending aorta.54, 55 As a consequence, it is neither sensitive nor specific enough to diagnose aortic dissection. Transthoracic echocardiography (TTE) does, however, play a role in rapidly assessing patients at the bedside for aortic valve or pericardial compromise when these complications are suspected.
Recommendations
CTA, MRA, and TEE are all highly sensitive and specific modalities for diagnosing aortic dissection. Therefore, the condition of the patient, the information needed, and the resources and expertise immediately available should drive the choice of study. MRA is considered the gold standard diagnostic study and is the preferred modality for hemodynamically stable patients with suspected aortic dissection. Because of slow data acquisition and the inaccessibility of patients in the scanner, it is generally unsuited for unstable patients, including those with ongoing pain. Bedside TEE is an excellent choice for patients who are too unstable for MRA but is less effective at visualizing distal dissections. Arch aortography is generally reserved for the confirmation of questionable diagnoses or to image specific branch arteries (Tables 4 and 5).
Overall | Proximal | Distal | |
---|---|---|---|
| |||
TEE | 88% | 90% | 80% |
CTA | 93% | 93% | 93% |
MRA | 100% | 100% | 100% |
Aortogram | 87% | 87% | 87% |
TEE | CTA | MRA | Aortography | |
---|---|---|---|---|
| ||||
Sensitivity | ++ | ++ | +++ | ++ |
Specificity | +++ | ++ | +++ | ++ |
Classification | +++ | ++ | ++ | + |
Intimal flap | +++ | ‐ | ++ | + |
Aortic regurgitation | +++ | ++ | ++ | |
Pericardial effusion | +++ | ++ | ++ | |
Branch vessel involvement | + | ++ | ++ | +++ |
Coronary artery involvement | ++ | + | + | +++ |
Most trials comparing CTA, MRA, and TEE were performed in the early 1990s. Computed tomography has evolved significantly over the intervening decade, and some of the diagnostic limitations previously ascribed to CTA, such as the inability to generate 3‐D reconstructed images, no longer exist. Furthermore, CT angiography is widely available and is gaining increasing acceptance as a first‐line imaging modality for patients with noncardiac chest pain.48 Medical centers that maintain round‐the‐clock CT capability may have limited or delayed access to TEE, MRA, or aortography. Given the potential for rapid and dramatic patient deterioration, it is imperative that a diagnosis be established quickly when aortic dissection is suspected. Thus, when the choice is obtaining an immediate CTA or a delayed TEE or MRA, CTA is generally the better choice (Figure 6).

MANAGEMENT
Acute Management:
Approximately half of all patients who present with acute aortic dissection are acutely hypertensive.14 Hypertensive aortic dissection is a hypertensive emergency that mandates immediate decrease in blood pressure to the lowest level that maintains organ perfusion. As a rule, short‐acting, parenteral, titratable antihypertensive agents should be used (Table 6). Intravenous beta‐adrenergic blockers are the mainstay of acute and chronic therapy. Their negative inotropic and chronotropic effects decrease shear stress across the aortic lumen and decrease the likelihood of dissection propagation and aortic dilatation.56, 57 Parenteral vasodilators (eg, nitroprusside and nitroglycerin) should be initiated if beta‐blockers prove insufficient for lowering blood pressure. They should never be used alone, as they may cause reflex tachycardia and consequently may increase intraluminal shear stress. The use of opiates for analgesia and benzodiazepines for anxiolysis further decreases blood pressure by controlling the severe pain and anxiety often associated with acute dissection.
Name | Mechanism | Dose | Cautions/contraindications |
---|---|---|---|
Esmolol | Cardioselective beta‐1 blocker | Load: 500 g/kg IV | Asthma or bronchospasm |
Drip: 50 g kg1 min1 IV. | Bradycardia | ||
Increase by increments of 50 g/min | 2nd‐ or 3rd‐degree AV block | ||
Cocaine or methamphetamine abuse | |||
Labetalol | Nonselective beta 1,2 blocker | Load: 20 mg IV | Asthma or bronchospasm |
Selective alpha‐1 blocker | Drip: 2 mg/min IV | Bradycardia | |
2nd or 3rd degree AV block | |||
Cocaine or methamphetamine abuse | |||
Enalaprilat | ACE inhibitor | 0.625‐1.25 mg IV q 6 hours. | Angioedema |
Max dose: 5 mg q 6 hours. | Pregnancy | ||
Renal artery stenosis | |||
Severe renal insufficiency | |||
Nitroprusside | Direct arterial vasodilator | Begin at 0.3 g kg1 min1 IV. | May cause reflex tachycardia |
Max dose 10 g kg1 min1 | Cyanide/thiocyanate toxicityespecially in renal or hepatic insufficiency | ||
Nitroglycerin | Vascular smooth muscle relaxation | 5‐200 g/min IV | Decreases preloadcontraindicated in tamponade or other preload‐dependent states |
Concomitant use of sildenafil or similar agents |
Hypotension or shock, which develop in 15%‐30% of patients with acute aortic dissection, are ominous findings that frequently portends impending hemodynamic collapse.14, 58 Patients who develop hypotension are at a fivefold increased risk of death (55.0% vs. 10.3%) and are at markedly increased risk of developing neurologic deficits, as well as myocardial, mesenteric, and limb ischemia. Hypotension may result from pump failure (due to acute aortic insufficiency, pericardial tamponade, or myocardial ischemia), aortic rupture, systemic lactic acidosis, or spinal shock. Bedside transthoracic echocardiography may be particularly useful for the evaluation of hypotensive patients, as it can be used to quickly and noninvasively determine the integrity of the aortic valve and pericardium. Although hypotension may transiently respond to volume resuscitation, all hypotensive patients with aortic dissection, regardless of type, should be immediately referred for emergent surgical evaluation. Pericardiocentesis in the setting of pericardial tamponade remains controversial; a small study suggested that decompression of the pericardial sac may hasten hemodynamic collapse by accelerating blood loss.59
Facilities that do not maintain urgent cardiopulmonary bypass capability should emergently transport patients with aortic dissection to a facility that provides a higher level of care. Transfer should not be delayed to confirm a questionable diagnosis. Proximal aortic dissection frequently compromises the pericardium, aortic valve, and arch vessels, and therefore emergent surgical repair is indicated. When treated medically, proximal dissection carries a dismal 60% in‐hospital mortality rate.14, 60 In contrast, distal aortic dissection is generally treated medically, with surgical intervention generally reserved for patients with an expanding aortic aneurysm, elevated risk of aortic rupture, refractory hypertension, intractable pain, visceral hypoperfusion, and limb ischemia or paresis.11, 61, 62 Individual branch vessel occlusion may be effectively ameliorated with conventional arterial stenting or balloon fenestration.
Endovascular stent grafting has been used successfully in lieu of surgery for patients with acute or chronic distal (type B) aortic dissections.39, 4042, 63 The stent graft is deployed across the proximal intimal tear, obliterating the false lumen and facilitating aortic healing. Early studies suggested that endovascular stent grafting may be safer and more efficacious than conventional surgical repair of distal dissection.41 A recent meta‐analysis of published trials of endovascular aortic stenting found procedural success rates exceeding 95% and a major complication rate of 11%. Thirty‐day mortality was approximately 5%, with 6‐, 12‐ and 24‐month mortality rates plateauing at 10%. Centers with high patient volume had fewer complications and much lower acute mortality rates.14, 64 These medium‐term outcomes compare favorably with conventional therapy. Endovascular stenting has not been prospectively compared against conventional therapy in randomized trials, and it therefore remains unclear who should be referred for endovascular stenting instead of conventional therapy.
Long‐term Management
Survivors of aortic dissection, especially those with diseases of collagen, have a systemic disease that predisposes them to further aortic and great vessel events. Almost one third of survivors of acute aortic dissection will develop dissection propagation or aortic rupture or will require aortic surgery within 5 years of presentation.41, 60 Young patients who present for aortic dissection should be screened for Marfan syndrome according to the Gent nosology.65 To reduce shear stress to the aortic lumen, all patients should be treated with beta‐blockers for life, with blood pressure targeted to be below 135/80.60, 66 Patients who do not tolerate beta blockade may benefit from treatment with diltiazem or verapamil. Progression to aortic aneurysm is common, and patients should undergo serial imaging of the aorta at 1, 3, 6, and 12 months after discharge and annually thereafter. Dilatation of the proximal aorta to >5.0 cm and of the distal aorta to >6.0 cm should prompt referral for surgical or possibly endovascular repair.41, 67 Although supporting data are limited, it is generally accepted that patients should moderate their physical activity to avoid extremes of tachycardia and blood pressure elevation. Sports that involve high speed or sudden deceleration, such as ice hockey, downhill skiing, and football, should be strictly avoided. Patients should be warned to seek immediate medical attention if they develop recurrent chest or back pain or focal neurologic deficits.
PROGNOSIS
Despite significant medical and surgical advances, aortic dissection remains exceptionally lethal. Patients with proximal dissections are more likely to die than those with distal dissections. Using data from the IRAD trial, Mehta et al determined that age 70 years (OR, 1.70), abrupt onset of chest pain (OR 2.60), hypotension/shock/tamponade (OR, 2.97), renal failure (OR, 4.77), pulse deficit (OR, 2.03), and abnormal ECG (OR, 1.77) were independent determinants of death.59 Medical treatment of proximal dissection is generally reserved for patients too ill, unstable, or frail to undergo surgery. In contrast, most patients with distal dissection are managed medically, with surgery generally reserved for those with acute complications. Hence, patients with proximal dissections who are managed medically and those with distal dissections who are managed surgically have the worst outcomes. Outcomes for women are worse than those for men, which is probably attributable to several factors. Women dissect at an older age, present later after the onset of symptoms, and are more likely to have confounding symptoms that may delay timely diagnosis1 (Table 7).
Proximal (DeBakey I, II; Stanford A) | Distal (DeBakey III; Stanford B) | |||
---|---|---|---|---|
Surgical | Medical | Surgical | Medical | |
In‐hospital mortality | 26% | 58% | 31% | 11% |
Average | 35% | 15% |
CONCLUSION
Aortic dissection is a rare and acutely life‐threatening cause of acute chest and back pain. Delays in diagnosis and misdiagnoses are common, frequently with catastrophic consequences. The key to diagnosis is maintaining a high index of suspicion for dissection, especially in patients who present with acute severe chest, back, or abdominal pain in the setting of unexplained acute pulse deficits, neurologic deficits, or acute end‐organ injury. Three clinical findings have been shown to be diagnostically useful: immediate onset of tearing or ripping chest or back pain, mediastinal widening or abnormal aortic contour on chest radiograph, and peripheral pulse deficits or variable pulse pressure (>20 mm Hg). If all 3 findings are absent, acute aortic dissection is unlikely. The presence of any of these findings should prompt further workup. A normal chest radiograph does not rule out aortic dissection. Only TEE, CT, and MR angiography are sufficiently specific to rule out dissection. Aortography is rarely used as a first‐line diagnostic tool but may be useful as a confirmatory test or to provide additional anatomic information. Patients who present with proximal aortic dissection or with any aortic dissection with concomitant hypotension are at exceptionally high risk of death and should be immediately referred for surgical evaluation. Beta‐blockers are the mainstay of acute and chronic therapy of aortic dissection. Survivors of aortic dissection are at a markedly elevated risk for further aortic events and should be followed vigilantly posthospitalization.
- Gender‐related differences in acute aortic dissection.Circulation.2004;109:3014–3021. , , , et al.
- Clinical features and differential diagnosis of aortic dissection: Experience with 236 cases.Mayo Clin Proc.1993;68:642–651. , , , et al.
- The natural history of thoracic aortic aneurysm disease: an overview.J Card Surg.1997;12(suppl):270–278. , .
- Dissecting aneurysms of the aorta: a review of 505 cases.Medicine.1958;37:217–279. , , .
- Intimal tear without hematoma; an important variant of aortic dissection that can elude current imaging techniques.Circulation.1999;99:1331–1336. , , , .
- Intramural hemorrhage of the thoracic aorta: diagnostic and therapeutic implications.Circulation.1995;92:1465–1472. , , , et al.
- Acute aortic dissection and its variants; towards a common diagnostic and therapeutic approach.Circulation.1995;92:1376–1378. , .
- The penetrating aortic ulcer: pathologic manifestations, diagnosis and management.Mayo Clinic Proc.1988;63:718–725. , , .
- Acute intramural hematoma of the aorta—a mystery in evolution.Circulation.2005;111:1063–1070. , , , et al.
- Intramural hematoma in acute aortic syndrome; more than one variant of dissection?Circulation.2002;106:284–285. , .
- Acute aortic dissection: population‐based incidence compared with degenerative aortic aneurysm rupture.Mayo Clin Proc.2004;79(2):176–180. , , , , , , .
- Epidemiology and clinicopathology of aortic dissection.Chest.2000;117:1271–1278. , , , , , , .
- Surgery of the thoracic aorta.N Engl J Med.1997;336:1876–1888. , .
- The International Registry of Acute Aortic Dissection (IRAD).JAMA.2000;283:897–903. , , , et al.
- Clinical prediction of acute aortic dissection.Arch Intern Med.2000;160:2977–2982. , , .
- Risk factors for aortic dissection: a necropsy study of 161 cases.Am J Cardiol.1984;53:849–855. , .
- Characterizing the young patient with aortic dissection: Results from the International Registry of Aortic Dissection (IRAD).J Am Coll Cardiol.2004;43:665–669. , , , et al.
- Association of aortic dilatation with regurgitant, stenotic and functionally normal bicuspid aortic valves.J Am Coll Cardiol.1992;19:283–288. , , , .
- Clinical significance of the bicuspid aortic valve.Heart.2000;83:81–85. .
- Aortic root dilatation in young men with normally functioning bicuspid aortic valves.Heart.1999;82:19–22. , , , .
- Vascular matrix remodeling in patients with bicuspid aortic valve malformations: implications for aortic dilatation.J Thorac Cardiovasc Surg.2003;126:797–806. , , , et al.
- Further delineation of aortic dilation, dissection, and rupture in patients with Turner syndrome.Pediatrics.1998;102(1):e12. , , .
- Aortic dilatation, dissection and rupture in patients with Turner syndrome.J Pediatr.1986;109:820–826. , , , et al.
- Weight lifting and type II aortic dissection. A case report.J Sports Med Phys Fitness.2004;44:424–427. , .
- Recreational weight lifting and aortic dissection: case report.J Vasc Surg.1993;17:774–776. , , .
- Ascending aortic dissection in weight lifters with cystic medial degeneration.Ann Thoracic Surg.1990;49:638–642. , , , , , , .
- Acute aortic dissection related to crack cocaine.Circulation.2002;105:1592–1595. , , , , .
- Thoracic aortic dissection secondary to crack cocaine ingestion.Am J Emerg Med.1997;15:507–509. , .
- Cocaine‐associated dissection of the thoracic aorta.J Emerg Med.1992;10:723–727. , .
- Methamphetamine as a risk factor for acute aortic dissection.J Forensic Sci.1999;44(1):23–26. , .
- Arterial dissections associated with pregnancy.J Vasc Surg.1995;21:515–520. , , , , , .
- Does this patient have an acute thoracic aortic dissection?JAMA.2002;287:2262–2272. .
- Fatal haemostatic complications due to thrombolytic therapy in patients falsely diagnosed as acute myocardial infarction.Eur Heart J.1992;13:840–843. , , , .
- The inadvertent administration of anticoagulants to ED patients ultimately diagnosed with thoracic aortic dissection.Am J Emerg Med.2005;23:439–442.. , , , , .
- Chest radiography for the diagnosis of acute aortic syndrome.Am J Med.2004;116(2):73–77. , , , et al.
- Clinical significance of pleural effusion in acute aortic dissection.Chest.2002;121:825–830. , , , et al.
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- Aortic dissection: New frontiers in diagnosis and management. Part II: Therapeutic management and follow‐up.Circulation.2003;108:772–778. , .
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- Transesophageal echocardiography in the diagnosis of diseases of the thoracic aorta: part I. Aortic dissection, aortic intramural hematoma and penetrating atherosclerotic ulcer of the aorta.Chest.1999;116:1772–1779. , .
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- The diagnosis of thoracic aortic dissection by noninvasive imaging procedures.N Engl J Med.1993;328:1–9. , , , et al.
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- Cardiac tamponade complicating proximal aortic dissection: is pericardiocentesis harmful?Circulation.1994;90:2375–2379. , , .
- Predicting in‐hospital mortality in acute type A aortic dissection.Circulation.2002;105:200–206. , , , et al.
- Diagnosis and management of aortic dissection: task force report of the European Society of Cardiology.Eur Heart J.2001;22:1642–1681. , , , et al.
- Clinical profiles and outcomes of acute type B aortic dissection in the current era: Lessons from the international registry of aortic dissection.Circulation.2003;108(suppl II):II‐312–II‐317. , , , , , .
- Endovascular stent‐graft treatment of aortic dissection: determinants of post‐interventional outcome.Eur Heart J.2005;26:489–497. , , , et al.
- Endovascular stent‐graft placement in aortic dissection: a meta‐analysis [advance access online].Eur Heart J.2005. Published online October 14, 2005. , , , et al.
- Revised diagnostic criteria for the Marfan syndrome.Am J Med Genet.1996;62:417–426. , , , , .
- Treatment of dissecting aneurysms of the aorta without surgery.J Thorac Cardiovasc Surg.1965;50:364–373. , , , .
- Unoperated aortic aneurysms: a survey of 170 patients.Ann Thorac Surg.1995;59:1204–1209. , , , , , .
- Gender‐related differences in acute aortic dissection.Circulation.2004;109:3014–3021. , , , et al.
- Clinical features and differential diagnosis of aortic dissection: Experience with 236 cases.Mayo Clin Proc.1993;68:642–651. , , , et al.
- The natural history of thoracic aortic aneurysm disease: an overview.J Card Surg.1997;12(suppl):270–278. , .
- Dissecting aneurysms of the aorta: a review of 505 cases.Medicine.1958;37:217–279. , , .
- Intimal tear without hematoma; an important variant of aortic dissection that can elude current imaging techniques.Circulation.1999;99:1331–1336. , , , .
- Intramural hemorrhage of the thoracic aorta: diagnostic and therapeutic implications.Circulation.1995;92:1465–1472. , , , et al.
- Acute aortic dissection and its variants; towards a common diagnostic and therapeutic approach.Circulation.1995;92:1376–1378. , .
- The penetrating aortic ulcer: pathologic manifestations, diagnosis and management.Mayo Clinic Proc.1988;63:718–725. , , .
- Acute intramural hematoma of the aorta—a mystery in evolution.Circulation.2005;111:1063–1070. , , , et al.
- Intramural hematoma in acute aortic syndrome; more than one variant of dissection?Circulation.2002;106:284–285. , .
- Acute aortic dissection: population‐based incidence compared with degenerative aortic aneurysm rupture.Mayo Clin Proc.2004;79(2):176–180. , , , , , , .
- Epidemiology and clinicopathology of aortic dissection.Chest.2000;117:1271–1278. , , , , , , .
- Surgery of the thoracic aorta.N Engl J Med.1997;336:1876–1888. , .
- The International Registry of Acute Aortic Dissection (IRAD).JAMA.2000;283:897–903. , , , et al.
- Clinical prediction of acute aortic dissection.Arch Intern Med.2000;160:2977–2982. , , .
- Risk factors for aortic dissection: a necropsy study of 161 cases.Am J Cardiol.1984;53:849–855. , .
- Characterizing the young patient with aortic dissection: Results from the International Registry of Aortic Dissection (IRAD).J Am Coll Cardiol.2004;43:665–669. , , , et al.
- Association of aortic dilatation with regurgitant, stenotic and functionally normal bicuspid aortic valves.J Am Coll Cardiol.1992;19:283–288. , , , .
- Clinical significance of the bicuspid aortic valve.Heart.2000;83:81–85. .
- Aortic root dilatation in young men with normally functioning bicuspid aortic valves.Heart.1999;82:19–22. , , , .
- Vascular matrix remodeling in patients with bicuspid aortic valve malformations: implications for aortic dilatation.J Thorac Cardiovasc Surg.2003;126:797–806. , , , et al.
- Further delineation of aortic dilation, dissection, and rupture in patients with Turner syndrome.Pediatrics.1998;102(1):e12. , , .
- Aortic dilatation, dissection and rupture in patients with Turner syndrome.J Pediatr.1986;109:820–826. , , , et al.
- Weight lifting and type II aortic dissection. A case report.J Sports Med Phys Fitness.2004;44:424–427. , .
- Recreational weight lifting and aortic dissection: case report.J Vasc Surg.1993;17:774–776. , , .
- Ascending aortic dissection in weight lifters with cystic medial degeneration.Ann Thoracic Surg.1990;49:638–642. , , , , , , .
- Acute aortic dissection related to crack cocaine.Circulation.2002;105:1592–1595. , , , , .
- Thoracic aortic dissection secondary to crack cocaine ingestion.Am J Emerg Med.1997;15:507–509. , .
- Cocaine‐associated dissection of the thoracic aorta.J Emerg Med.1992;10:723–727. , .
- Methamphetamine as a risk factor for acute aortic dissection.J Forensic Sci.1999;44(1):23–26. , .
- Arterial dissections associated with pregnancy.J Vasc Surg.1995;21:515–520. , , , , , .
- Does this patient have an acute thoracic aortic dissection?JAMA.2002;287:2262–2272. .
- Fatal haemostatic complications due to thrombolytic therapy in patients falsely diagnosed as acute myocardial infarction.Eur Heart J.1992;13:840–843. , , , .
- The inadvertent administration of anticoagulants to ED patients ultimately diagnosed with thoracic aortic dissection.Am J Emerg Med.2005;23:439–442.. , , , , .
- Chest radiography for the diagnosis of acute aortic syndrome.Am J Med.2004;116(2):73–77. , , , et al.
- Clinical significance of pleural effusion in acute aortic dissection.Chest.2002;121:825–830. , , , et al.
- Frequency and explanation of false negative diagnosis of aortic dissection by aortography and transesophageal echocardiography.J Am Coll Cardiol.1995;25:1393–1401. , , , .
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- Spectrum of conditions initially suggesting acute aortic dissection but with negative aortograms.Am J Cardiol.1986;57:322–326. , , , et al.
- Nonsurgical reconstruction of thoracic aortic dissection by stent‐graft placement.N Engl J Med.1999;340:1539–1545. , , , et al.
- Endovascular stent‐graft placement for the treatment of aortic dissection.N Engl J Med.1999;340:1546–1552. , , , et al.
- Aortic dissection: New frontiers in diagnosis and management. Part II: Therapeutic management and follow‐up.Circulation.2003;108:772–778. , .
- Aortic dissection: percutaneous management of ischemic complications with endovascular stents and balloon fenestration.J Vasc Surg.1996;23:241–251. , , , , , .
- Choice of computed tomography, transesophageal echocardiography, magnetic resonance imaging, and aortography in acute aortic dissection: International Registry of Acute Aortic Dissection (IRAD).Am J Cardiol.2002;89:1235–1238. , , , et al.
- Aortic dissection: a comparative study of diagnosis with spiral CT, multiplanar transesophageal echocardiography, and MR imaging.Radiology.1996;199:347–352. , , , et al.
- Assessment of the thoracic aorta by spiral CT.AJR Am J Roengenol.1992;158:1127–1130. , , , .
- Radiologic evaluation of aortic dissection.Radiology.1991;180:297–305. ,
- Computed tomography of thoracic aortic dissection: accuracy and pitfalls.J Comput Assist Tomogr.1986;10:211–215. , , , , , .
- Spiral CT in acute non‐cardiac chest pain.Clin Radiol.1999;54(1):38–45. , , .
- Diagnosis of thoracic aortic dissection. Magnetic resonance imaging versus transesophageal echocardiography.Circulation.1992;85:434–447. , , , et al.
- Comparison of conventional and transesophageal echocardiography with magnetic resonance imaging for anatomical mapping of thoracic aortic dissection: a dual noninvasive imaging study with anatomical and/or angiographic validation.Int J Card Imaging.1994;10:1–14. , , , , .
- Transesophageal echocardiography in the diagnosis of diseases of the thoracic aorta: part I. Aortic dissection, aortic intramural hematoma and penetrating atherosclerotic ulcer of the aorta.Chest.1999;116:1772–1779. , .
- Accuracy of biplane and multiplane transesophageal echocardiography in diagnosis of typical acute aortic dissection and intramural hematoma.J Am Coll Cardiol.1996;28:627–636. , , , et al.
- The diagnosis of thoracic aortic dissection by noninvasive imaging procedures.N Engl J Med.1993;328:1–9. , , , et al.
- Echocardiography in diagnosis of aortic dissection.Lancet.1989;1:457–461. , , , , , .
- A prospectus on the prevention of aortic rupture in the Marfan syndrome with data on survivorship without treatment.Johns Hopkins Med J.1971;129:123–129. , , , , .
- Progression of aortic dilatation and the benefit of long‐term beta‐adrenergic blockade in Marfan's syndrome.N Engl J Med.1994;330:1335–1341. , , , .
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- Predicting in‐hospital mortality in acute type A aortic dissection.Circulation.2002;105:200–206. , , , et al.
- Diagnosis and management of aortic dissection: task force report of the European Society of Cardiology.Eur Heart J.2001;22:1642–1681. , , , et al.
- Clinical profiles and outcomes of acute type B aortic dissection in the current era: Lessons from the international registry of aortic dissection.Circulation.2003;108(suppl II):II‐312–II‐317. , , , , , .
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View from the Hospital Bed
Six years ago, at the age of 76, I suffered a type B aortic dissection while lifting weights. At the time, I managed a busy architecture practice, jogged a 9‐minute mile, and had never experienced a serious illness. My only medication was a baby aspirin every morning. The dissection was diagnosed promptly and treated medically with a stay of less than a week in the hospital. My son Eric, a hospitalist, immediately flew in from Denver and stayed with me throughout my hospitalization. Within days of my discharge, however, I began experiencing a series of mild discomforts. I had difficulty sleeping, mild indigestion, and a burning sensation in my thighs after walking relatively short distances. My primary care physician and cardiologist didn't seem concerned about these symptoms, and as they were initially mild, I accepted them as the residual effects of sleep deprivation, hospital food, and muscle atrophy. Nobody recognized that my dissection had propagated, effectively cutting off blood flow below my diaphragm.
To my good fortune, Eric had previously scheduled a second visit long before I had become ill. I vividly recall him walking into our house in the early evening, taking one look at me, and saying, I don't like what I see. My most notable memory of the return ambulance trip was how cold my feet were. I had never experienced that intense a sensation of cold before. I recall arriving at a very busy, crowded ER and Eric aggressively trying to get priority attention. The next thing I remember was waking up in the ICU the next afternoon. My kidneys had failed, and my intestines were not getting blood flow. By then, I had become too unstable to undergo aortic surgery. As a last‐ditch effort, an interventional radiologist tried to open my aorta using four large biliary stents, none of which deployed properly. Then a vascular surgeon suggested performing an axillo‐bifemoral bypass, which is much less invasive than aortic surgery, in order to restore blood flow to my kidneys and intestines. It saved my life.
There are many things about the hospital environment that elevate anxiety and vulnerability, and perhaps that is inevitable. The concentration of sick people is depressing. I had several roommates, each much younger than I, with prognoses that appeared far less favorable than mine. I listened to their doctors, some with bedside manners so clinical that they bordered on insensitivity. In one instance, when there was clearly a communication barrier, I saw a patient and family become bewildered and overwhelmed. Watching this unfold only heightened my own sense of vulnerability.
When it became evident that I was not going to die, my emotions ranged from elation at having beaten the odds to outright fear. I had come to the hospital healthy, fit, and independent. Now a host of new concerns emerged. What would my limitations be, and to what kind of lifestyle could I look forward? Would I be self‐sufficient, or would I become a burden to my family? Perhaps these were ungrateful responses to having just dodged the bullet, but I take no responsibility for my subconscious. Nights were the worst, especially when sleep was elusive. My days were filled with tests and visitors, but I had ample time to court my anxieties after dark. As an artillery reconnaissance officer during World War II, I had known fear, but this was different. Fear during combat was shared by all and functionally accommodated by most. It became part of a common bond. Maybe because of our youth and inexperience, we only worried about being killeda singular event, and then it was all over. Thoughts of permanent disability and its consequences never crossed our minds.
My physical recovery was far more rapid than my psychological and emotional recovery. My physicians told me that they had never encountered a case like mine and that we were in uncharted waters. Although I appreciated their candor, this was less than reassuring. Furthermore, the mild symptoms I had experienced during my re‐dissection sensitized me to every new little pain, twinge, or discomfort. How was I to differentiate relevant and significant new symptoms from hypochondria? It took a very long time to recover my sense of well‐being. The support of my wife and family was invaluable, but ultimately this is something one must sort out for oneself. I recognized that I could not face the rest of my life with fear and anxiety. I tried professional counseling without noticeable benefit. Eventually, I learned to analyze each concern as it surfaced, recognize it for what it was, and put it in perspective. The passage of time and daily meditation also contributed to my emotional healing. Today, some of the old ghosts still emerge from the shadows, but now they have no substance and rapidly disappear.
I attribute my survival and recovery over the past six years to the marvels of modern medicine (accompanied by some miscues and imperfections), the forceful advocacy of a loving wife and a physician son who were always there at critical moments, and a significant dose of pure good luck. As I write this, a few days before my 82nd birthday, I remain actively engaged in my practice, still work out, albeit more prudently than before, and walk a brisk 16‐minute mile. I will forever be grateful for the professionalism and dedication of the health care personnel I encountered and for the astonishing technology and infrastructure that saved my life.
Six years ago, at the age of 76, I suffered a type B aortic dissection while lifting weights. At the time, I managed a busy architecture practice, jogged a 9‐minute mile, and had never experienced a serious illness. My only medication was a baby aspirin every morning. The dissection was diagnosed promptly and treated medically with a stay of less than a week in the hospital. My son Eric, a hospitalist, immediately flew in from Denver and stayed with me throughout my hospitalization. Within days of my discharge, however, I began experiencing a series of mild discomforts. I had difficulty sleeping, mild indigestion, and a burning sensation in my thighs after walking relatively short distances. My primary care physician and cardiologist didn't seem concerned about these symptoms, and as they were initially mild, I accepted them as the residual effects of sleep deprivation, hospital food, and muscle atrophy. Nobody recognized that my dissection had propagated, effectively cutting off blood flow below my diaphragm.
To my good fortune, Eric had previously scheduled a second visit long before I had become ill. I vividly recall him walking into our house in the early evening, taking one look at me, and saying, I don't like what I see. My most notable memory of the return ambulance trip was how cold my feet were. I had never experienced that intense a sensation of cold before. I recall arriving at a very busy, crowded ER and Eric aggressively trying to get priority attention. The next thing I remember was waking up in the ICU the next afternoon. My kidneys had failed, and my intestines were not getting blood flow. By then, I had become too unstable to undergo aortic surgery. As a last‐ditch effort, an interventional radiologist tried to open my aorta using four large biliary stents, none of which deployed properly. Then a vascular surgeon suggested performing an axillo‐bifemoral bypass, which is much less invasive than aortic surgery, in order to restore blood flow to my kidneys and intestines. It saved my life.
There are many things about the hospital environment that elevate anxiety and vulnerability, and perhaps that is inevitable. The concentration of sick people is depressing. I had several roommates, each much younger than I, with prognoses that appeared far less favorable than mine. I listened to their doctors, some with bedside manners so clinical that they bordered on insensitivity. In one instance, when there was clearly a communication barrier, I saw a patient and family become bewildered and overwhelmed. Watching this unfold only heightened my own sense of vulnerability.
When it became evident that I was not going to die, my emotions ranged from elation at having beaten the odds to outright fear. I had come to the hospital healthy, fit, and independent. Now a host of new concerns emerged. What would my limitations be, and to what kind of lifestyle could I look forward? Would I be self‐sufficient, or would I become a burden to my family? Perhaps these were ungrateful responses to having just dodged the bullet, but I take no responsibility for my subconscious. Nights were the worst, especially when sleep was elusive. My days were filled with tests and visitors, but I had ample time to court my anxieties after dark. As an artillery reconnaissance officer during World War II, I had known fear, but this was different. Fear during combat was shared by all and functionally accommodated by most. It became part of a common bond. Maybe because of our youth and inexperience, we only worried about being killeda singular event, and then it was all over. Thoughts of permanent disability and its consequences never crossed our minds.
My physical recovery was far more rapid than my psychological and emotional recovery. My physicians told me that they had never encountered a case like mine and that we were in uncharted waters. Although I appreciated their candor, this was less than reassuring. Furthermore, the mild symptoms I had experienced during my re‐dissection sensitized me to every new little pain, twinge, or discomfort. How was I to differentiate relevant and significant new symptoms from hypochondria? It took a very long time to recover my sense of well‐being. The support of my wife and family was invaluable, but ultimately this is something one must sort out for oneself. I recognized that I could not face the rest of my life with fear and anxiety. I tried professional counseling without noticeable benefit. Eventually, I learned to analyze each concern as it surfaced, recognize it for what it was, and put it in perspective. The passage of time and daily meditation also contributed to my emotional healing. Today, some of the old ghosts still emerge from the shadows, but now they have no substance and rapidly disappear.
I attribute my survival and recovery over the past six years to the marvels of modern medicine (accompanied by some miscues and imperfections), the forceful advocacy of a loving wife and a physician son who were always there at critical moments, and a significant dose of pure good luck. As I write this, a few days before my 82nd birthday, I remain actively engaged in my practice, still work out, albeit more prudently than before, and walk a brisk 16‐minute mile. I will forever be grateful for the professionalism and dedication of the health care personnel I encountered and for the astonishing technology and infrastructure that saved my life.
Six years ago, at the age of 76, I suffered a type B aortic dissection while lifting weights. At the time, I managed a busy architecture practice, jogged a 9‐minute mile, and had never experienced a serious illness. My only medication was a baby aspirin every morning. The dissection was diagnosed promptly and treated medically with a stay of less than a week in the hospital. My son Eric, a hospitalist, immediately flew in from Denver and stayed with me throughout my hospitalization. Within days of my discharge, however, I began experiencing a series of mild discomforts. I had difficulty sleeping, mild indigestion, and a burning sensation in my thighs after walking relatively short distances. My primary care physician and cardiologist didn't seem concerned about these symptoms, and as they were initially mild, I accepted them as the residual effects of sleep deprivation, hospital food, and muscle atrophy. Nobody recognized that my dissection had propagated, effectively cutting off blood flow below my diaphragm.
To my good fortune, Eric had previously scheduled a second visit long before I had become ill. I vividly recall him walking into our house in the early evening, taking one look at me, and saying, I don't like what I see. My most notable memory of the return ambulance trip was how cold my feet were. I had never experienced that intense a sensation of cold before. I recall arriving at a very busy, crowded ER and Eric aggressively trying to get priority attention. The next thing I remember was waking up in the ICU the next afternoon. My kidneys had failed, and my intestines were not getting blood flow. By then, I had become too unstable to undergo aortic surgery. As a last‐ditch effort, an interventional radiologist tried to open my aorta using four large biliary stents, none of which deployed properly. Then a vascular surgeon suggested performing an axillo‐bifemoral bypass, which is much less invasive than aortic surgery, in order to restore blood flow to my kidneys and intestines. It saved my life.
There are many things about the hospital environment that elevate anxiety and vulnerability, and perhaps that is inevitable. The concentration of sick people is depressing. I had several roommates, each much younger than I, with prognoses that appeared far less favorable than mine. I listened to their doctors, some with bedside manners so clinical that they bordered on insensitivity. In one instance, when there was clearly a communication barrier, I saw a patient and family become bewildered and overwhelmed. Watching this unfold only heightened my own sense of vulnerability.
When it became evident that I was not going to die, my emotions ranged from elation at having beaten the odds to outright fear. I had come to the hospital healthy, fit, and independent. Now a host of new concerns emerged. What would my limitations be, and to what kind of lifestyle could I look forward? Would I be self‐sufficient, or would I become a burden to my family? Perhaps these were ungrateful responses to having just dodged the bullet, but I take no responsibility for my subconscious. Nights were the worst, especially when sleep was elusive. My days were filled with tests and visitors, but I had ample time to court my anxieties after dark. As an artillery reconnaissance officer during World War II, I had known fear, but this was different. Fear during combat was shared by all and functionally accommodated by most. It became part of a common bond. Maybe because of our youth and inexperience, we only worried about being killeda singular event, and then it was all over. Thoughts of permanent disability and its consequences never crossed our minds.
My physical recovery was far more rapid than my psychological and emotional recovery. My physicians told me that they had never encountered a case like mine and that we were in uncharted waters. Although I appreciated their candor, this was less than reassuring. Furthermore, the mild symptoms I had experienced during my re‐dissection sensitized me to every new little pain, twinge, or discomfort. How was I to differentiate relevant and significant new symptoms from hypochondria? It took a very long time to recover my sense of well‐being. The support of my wife and family was invaluable, but ultimately this is something one must sort out for oneself. I recognized that I could not face the rest of my life with fear and anxiety. I tried professional counseling without noticeable benefit. Eventually, I learned to analyze each concern as it surfaced, recognize it for what it was, and put it in perspective. The passage of time and daily meditation also contributed to my emotional healing. Today, some of the old ghosts still emerge from the shadows, but now they have no substance and rapidly disappear.
I attribute my survival and recovery over the past six years to the marvels of modern medicine (accompanied by some miscues and imperfections), the forceful advocacy of a loving wife and a physician son who were always there at critical moments, and a significant dose of pure good luck. As I write this, a few days before my 82nd birthday, I remain actively engaged in my practice, still work out, albeit more prudently than before, and walk a brisk 16‐minute mile. I will forever be grateful for the professionalism and dedication of the health care personnel I encountered and for the astonishing technology and infrastructure that saved my life.
Impact of CT on PE Diagnosis
Spiral computed tomographic pulmonary angiography (CTPA) is a common first‐line test for the evaluation of suspected pulmonary embolism (PE). At our institution CTPA became the initial diagnostic study in 83% of patients with suspected PE within 3 years of the introduction of CT,1 and by 2001 CTPA had become the most common diagnostic test performed nationwide in patients diagnosed with PE.2 Most scans are interpreted as either positive or negative for pulmonary embolism, providing clinicians with a greater sense of diagnostic certainty than with the probabilistic results of lung scintigraphy. Initial studies of CTPA supported this appearance of diagnostic certainty, reporting sensitivity and specificity of greater than 90%,3, 4 but several subsequent studies have failed to reproduce these results.57 Newer multidetector CT scans are believed to be more accurate than earlier single‐detector CT,8 but true estimates of CTPA test characteristics will not be known until publication of the forthcoming PIOPED II study.9
Even without these data, CT‐based diagnostic algorithms have already appeared.1014 These algorithms generally focus on minimizing the false‐negative rate through use of serial testing (involving combinations of serum D‐dimer, lower‐extremity ultrasound, and CTPA). A recent meta‐analysis demonstrated that negative CTPA is highly accurate at ruling out PE, with test characteristics similar to conventional pulmonary angiography.15 Another meta‐analysis found that the 3‐month rate of subsequent venous thromboembolism after negative CTPA was 1.4% (95% CI 1.1%‐1.8%),16 supporting the strategy of withholding anticoagulants after negative CTPA in combination with other tests. However, use of serial testing to establish the diagnosis of PE and initiate anticoagulation has not been systematically evaluated or recommended, even for patients with a low pretest probability of PE.17
To assess the potential impact of these algorithms on the diagnosis of PE in clinical practice, we analyzed the clinical presentation and treatment of a cohort of patients at our institution who underwent CTPA for suspected PE.1 We calculated a range of posttest probabilities for pulmonary embolism for these patients, given the pretest probabilities, test results, and estimates of CTPA test characteristics. We then compared the treatment decisions of clinicians to the posttest probabilities of PE in order to establish the potential frequency of false‐positive and false‐negative diagnoses and to determine if patients were treated appropriately based on these estimates.
METHODS
Sites and Subjects
Details of the sites, subjects, and methods used to collect patient‐level data in this analysis have been previously published.1 The study was performed at Moffitt‐Long Hospital and San Francisco General Hospital, teaching hospitals affiliated with the University of California San Francisco School of Medicine. At both sites, single‐detector CT scans were available 24 hours a day throughout the study period and were read by attending radiologists who specialized in thoracic imaging. We excluded patients whose CTPA was not completed as the initial test in the evaluation of suspected PE, those who underwent testing for any indication other than suspected acute PE, and those with incomplete medical records or technically inadequate CTPA.
We randomly selected 345 patients who underwent CTPA between January 1, 1998, and December 31, 2000, from the Radiology Department databases. One investigator (R.L.T.) then abstracted charts of all patients. For each subject, we collected data about history and clinical presentation, diagnostic impressions of the treating clinicians, treatments administered both before and after diagnostic testing, CTPA result, results of other diagnostic tests for PE, and final clinical diagnosis. During the study period, there were no institution‐ or department‐specific guidelines or decision aids available for the diagnosis of PE. Ventilation‐perfusion scan, lower extremity ultrasound, and pulmonary angiography were available, but highly sensitive D‐dimer assays were not in use. The study was approved by the Institutional Review Boards of both sites, and requirement for written informed consent from patients was waived.
Estimates of Pretest Probabilities of Pulmonary Embolism and CTPA Test Characteristics
Several prediction rules1820 generate clinical pretest probabilities for patients with suspected PE. We used the Wells score18 to assign a pretest probability of low, moderate, or high to each patient on the basis of the following clinical variables: leg swelling, hemoptysis, tachycardia, history of recent immobilization, history of prior DVT or PE, active malignancy, and lack of a more likely alternative diagnosis. We chose this rule as (unlike other prediction rules such as the Geneva rule20) the Wells score has been validated for hospitalized patients with suspected PE and does not require arterial blood gas measurements. The prevalence of PE reported in the evaluation of the Wells score was 3.4%, 27.8%, and 78.3% for low, moderate, and high pretest probabilities, respectively.18
As in our previous study,1 we assumed CTPA to be 90% sensitive and 95% specific based on published estimates.3, 17 These values correspond to a positive likelihood ratio of 18 and a negative likelihood ratio of 0.1.21 We chose these values as a best‐case estimate of the test characteristics of CTPA, although other studies have found less impressive results.7 Using these pretest probabilities and likelihood ratios, we then used Bayes' theorem (Figure 1) to calculate the range of expected posttest probabilities of pulmonary embolism.

Calculation of Posttest Probabilities and Comparison to Treatment Outcomes
For each pretest probability category, we used the posttest probabilities calculated above to determine the number of true‐positive pulmonary emboli, as follows:
RESULTS
Patient Characteristics
After excluding 23 patients receiving anticoagulants for other indications prior to CTPA, the study cohort included 322 patients (57.7% female), with an average age of 58.6 years, of whom 20.5% had cancer and 4.5% had a prior history of thromboembolic disease. Scans were primarily ordered by the medicine service (47.7% of cases) and emergency department (22.9%). CTPA was the initial test for 9% of patients evaluated for suspected acute PE during the first 6 months of the study period, increasing to 83% by the end of 2000.1 The overall pretest probability distribution remained the same throughout the entire study period.1
Test Results and Treatment Decisions
Most patients in our cohort had a low (n = 184, 57.1%) or a moderate (n = 101, 31.4%) pretest probability of PE (Table 1). The likelihood of a positive CTPA increased as the pretest probability increased, but even among patients with high clinical risk, only 35.1% had positive CT scans. In total, scans were positive in 57 patients and negative in 265 patients. Clinicians treated 55 patients with a positive CTPA (96.5%); none of these patients underwent additional testing for DVT or PE after the imaging study. Among patients with a negative CTPA, 254 (95.8%) were not treated; none of the patients in whom anticoagulation was withheld underwent further testing, whereas the other 11 patients were treated on the basis of other tests (5 high‐probability ventilation‐perfusion scans, 3 positive leg ultrasounds, and 3 for unclear reasons). Overall, 66 patients (20.5%) were treated for pulmonary embolism.
Pretest probability of PE (number of CTPA performed) | Low (N = 184) | Moderate (N = 101) | High (N = 37) | Total (N = 322) |
---|---|---|---|---|
| ||||
CTPA positive for PE (% of pretest probability group) | 22 (12.0%) | 22 (21.8%) | 13 (35.1%) | 57 (17.7%) |
CTPA negative for PE (% of pretest probability group) | 162 (88.0%) | 79 (78.2%) | 24 (64.9%) | 265 (82.3%) |
Patients with positive CT subsequently treated for PE (% of pretest probability group) | 21 (11.4%) | 21 (20.8%) | 13 (35.1%) | 55 (17.1%) |
Patients treated for PE despite negative CT (% of pretest probability group) | 5 (2.7%) | 3 (3.0%) | 3 (8.1%) | 11 (3.4%) |
Total patients treated for PE (% of pretest probability group) | 26 (14.1%) | 24 (23.8%) | 16 (43.2%) | 66 (20.5%) |
Literature‐Derived Estimates of Posttest Probabilities of Pulmonary Embolism
Patients who have a low pretest probability of PE and a positive CTPA have a posttest probability of 41.6% under our estimate of CTPA test characteristics. Patients with moderate pretest probability have a posttest probability of 87.4% and patients with a high pretest probability will have a 98.5% probability of embolism with a positive scan. The traditional treatment threshold for PE is a posttest probability of 90%.22
Observed Versus Expected PE Rates and Subsequent Treatment
Only 9 of the 22 patients (41%) with a low pretest probability and a positive CTPA likely represent true‐positive emboli. However, clinicians chose to treat 21 of the 22 patients with this combination of pretest probability and imaging findings. Thus, 12 emboli would be considered possible false‐positive diagnoses. Similarly, in the moderate pretest probability group, 2 of 21 patients with moderate pretest probability and 0 of 13 patients with high pretest probability treated for PE had a possibly false‐positive diagnosis. Thus, in total, 25.4% (14 of 55) patients treated for PE had a possible false‐positive diagnosis of pulmonary embolism and may have been unnecessarily administered anticoagulants (Table 2). All patients who potentially had a false‐positive PE had either a low or moderate pretest probability of PE; in fact, the majority (57.1%) of patients with a low pretest probability of PE who were subsequently treated for PE likely had a false‐positive diagnosis.
Pretest probability | ||||
---|---|---|---|---|
Low (n = 184) | Moderate (n = 101) | High (n = 37) | Total (n = 322) | |
| ||||
CTPA positive for PE (% of pretest probability group) | 22 (12.0%) | 22 (21.8%) | 13 (35.1%) | 57 (17.7%) |
Patients with positive CTPA treated for pulmonary embolism (n, % treated in risk group) | 21 (95.4%) | 21 (95.4%) | 13 (100%) | 55 (96.5%) |
Calculated number and rate of probable true‐positive evaluations | ||||
Number of true‐positive PE (n, % treated in risk group) | 9 (42.9%) | 19 (90.5%) | 13 (100%) | 41 (74.6%) |
Calculated number and rate of possible false‐positive evaluations | ||||
Number of possible false‐positive PE (n, % in risk group with unexpected PE) | 12 (58.1%) | 2 (9.5%) | 0 | 14 (25.4%) |
Clinicians were more likely to overtreat a patient with a possible false‐positive CT scan than to withhold treatment from a patient with a possible false‐negative diagnosis. Using the same estimates of CTPA test characteristics, the incidence of possible false‐negative diagnosis of PE was 1.6% (4 possible false‐negative diagnoses among 254 patients with negative CTPA results who were not treated for PE.) All these patients had a high pretest probability of PE.
DISCUSSION
Physicians at our institution regarded CTPA results as definitive, anticoagulating 96.5% of patients with a positive CT and withholding treatment in 95.8% of patients with a negative scan. This practice pattern may result in unnecessary anticoagulation of many patients with a low pretest probability of PE who may have had false‐positive CTPA findings. In contrast, the rate of possible false‐negative diagnosis of PE was low, consistent with the results of several other studies.16
The use of CTPA is likely to increase because of the publication of multiple algorithms advocating that CTPA be the chief imaging study used in the diagnosis of PE.1014 These algorithms recommend serial testing on patients with a negative CTPA in order to minimize the false‐negative rate, but they do not require systematic follow‐up in patients with a positive scan, even if the pretest probability was low. In management trials, this approach resulted in a low false‐negative rate (1.0%‐1.8% at 3‐month follow‐up).1114 However, the rate of major bleeding in patients treated for PE was 3.2%‐6.0% at 3 months,1214 illustrating the potential risk of anticoagulating patients who may have false‐positive diagnoses. Furthermore, premature diagnostic closure after a CTPA positive for PE may result in additional morbidity as a result of missing the true diagnosis.
One potential explanation for the large number of potential false‐positive emboli seen in low‐risk patients is that it is difficult to accurately diagnose distal pulmonary emboli with CTPA. The interrater reliability of CTPA for diagnosis of subsegmental PE is suboptimal,23 and the clinical significance of these emboli remains uncertain.24 Thus, many emboli found in patients with low pretest probability actually may have been subsegmental PE that would not have been diagnosed by another radiologist. As CTPA is more accurate for diagnosing central PE,25 clinicians should consider reviewing positive scans with the interpreting radiologist, especially when the pretest probability was low and the filling defects identified are in distal vessels.
Our results may also illustrate that clinicians have a lower treatment threshold when presented with apparently definitive evidence of pulmonary embolism. Previous proposals on the appropriate treatment threshold for PE, which used Bayesian decision‐making methods similar to ours,22 incorporated PIOPED26 data on the pretest probability of pulmonary embolism, the test characteristics of ventilation‐perfusion scans, and the clinical outcomes of patients in each test result/pretest probability category. However, there is no corresponding data for CTPA, as its test characteristics are still uncertain, and long‐term clinical outcomes have not been documented for patients treated (or not treated) on the basis of CT results.
Our study had several limitations. First, charting bias potentially was introduced by our using a retrospective method of collecting data for calculating pretest probabilities. To address this potential bias, we collected data from the entire medical record, including information available at and preceding the time of the CT scan. We believe this method was effective, as the range of pretest probabilities and the prevalence of PE in our study were very similar to those seen in a number of prospective studies.1820, 26, 27 Although other risk indices exist, the Wells score has been shown to have predictive powers equal to other algorithms and to clinicians; implicit assessments.28, 29 In our cohort, 35.1% of patients with a high pretest probability were diagnosed with PE; although this was lower than that in the initial Wells cohort,18 it was very similar to a subsequent validation study using the Wells algorithm, in which the prevalence of PE in patients with high pretest probability was 37.5%.27 Plasma D‐dimer testing is not routinely used at our hospitals, but it is a component of some CTPA‐based diagnostic algorithms.1114 Although use of D‐dimer testing may have led to fewer scans in patients with negative D‐dimer test results and low pretest probability,30 the high false‐positive rate for D‐dimer assays31 makes it difficult to predict the effect of widespread D‐dimer use on the overall pretest probability distribution. Using our assumptions about CT test characteristics, a pretest probability of more than 30% is required to generate a posttest probability of PE of at least 90% (the traditional treatment threshold for anticoagulant therapy22) with a positive scan. Extensive D‐dimer use would be unlikely to cause such a shift in the distribution of pretest probabilities.
Finally, CT technology has continued to advance, and many institutions now use 64‐slice scanners32 in contrast to the single‐slice scanners in use at the time our data were collected. Our assumptions were that CTPA has a positive likelihood ratio of 18.0 and a negative likelihood ratio of 0.1 (corresponding to a sensitivity of 90% and a specificity of 95%), although many studies of single‐detector CTPA found less impressive values.5, 7 Multidetector CT is thought to be more accurate than was earlier technology, but the true diagnostic performance of multidetector CT is not yet known. However, our findings pertain primarily to clinicians' responses to test results, so even if newer scanners are more accurate, Bayesian analysis will still be required in order to appropriately treat patients. A recent meta‐analysis of diagnostic strategies for PE found CTPA to have a positive likelihood ratio of 24.1, but even using this higher value, patients with a low pretest probability and positive CTPA still have a posttest probability of PE below the traditional treatment threshold.33 As most patients undergoing evaluation for suspected PE have a low pretest probability,17 a substantial number of false‐positive diagnoses of PE may still occur, even with a more accurate diagnostic test.
CT pulmonary angiography has become the first‐line test for pulmonary embolism at our institution, a situation likely mirrored elsewhere. CTPA is safe and rapid and offers the advantage of revealing ancillary lung findings that may be clinically significant.12 Although the test is an important addition to a clinician's diagnostic armamentarium, Bayesian analysis must be used to interpret its results, especially when CTPA is used as the first‐line diagnostic test. Our data raise the troubling concern that reliance on CTPA as the sole diagnostic test for suspected pulmonary embolism may result in a large number of patients with false‐positive CT scans receiving anticoagulation treatment.
- The impact of helical computed tomography on diagnostic and treatment strategies in patients with suspected pulmonary embolism.Am J Med.2004;116:84–90. , , , , .
- Trends in the use of diagnostic imaging in patients hospitalized with acute pulmonary embolism.Am J Cardiol.2004;93:1316–1317. , , .
- Central pulmonary thromboembolism: diagnosis with spiral volumetric CT with the single‐breath‐old technique—comparison with pulmonary angiography.Radiology.1992;185:381–387. , , , .
- Pulmonary embolism: validation of spiral CT angiography in 149 patients.Radiology.1996;201:467–470. , , , et al.
- Lung scintigraphy and helical computed tomography for the diagnosis of pulmonary embolism: a meta‐analysis.Clin Appl Thromb Hemost.2001;7(2):87–92. , , , , .
- The role of spiral volumetric computed tomography in the diagnosis of pulmonary embolism.Arch Intern Med.2000;160(3):293–298. , , , .
- Sensitivity and specificity of helical computed tomography in the diagnosis of pulmonary embolism: a systematic review.Ann Intern Med.2000;132(3):227–232. , , .
- Suspected acute pulmonary embolism: evaluation with multi‐detector row CT versus digital subtraction pulmonary arteriography.Radiology.2004;233:806–815. , , , et al.
- Overview of Prospective Investigation of Pulmonary Embolism Diagnosis II.Semin Nucl Med.2002;32(3):173–182. , , , .
- Management of suspected pulmonary embolism (PE) by D‐dimer and multi‐slice computed tomography in outpatients: an outcome study.J Thromb Haemost.2005;3:1926–1932. , , , et al.
- Multidetector‐row computed tomography in suspected pulmonary embolism.N Engl J Med.2005;352:1760–1768. , , , et al.
- Single‐detector helical computed tomography as the primary diagnostic test in suspected pulmonary embolism: a multicenter clinical management study of 510 patients.Ann Intern Med.2003;138:307–314. , , , et al.
- Diagnostic strategy for patients with suspected pulmonary embolism: a prospective multicentre outcome study.Lancet.2002;260:1914–1920. , , , et al.
- Diagnosing pulmonary embolism in outpatients with clinical assessment, D‐dimer measurement, venous ultrasound, and helical computed tomography: a multicenter management study.Am J Med.2004;116:291–299. , , , et al.
- Clinical validity of a negative computed tomography scan in patients with suspected pulmonary embolism: a systematic review.JAMA.2005;293:2012–2017. , , , et al.
- Meta‐analysis: outcomes in patients with suspected pulmonary embolism managed with computed tomographic pulmonary angiography.Ann Intern Med.2004;141:866–874. , , , .
- Clinical Practice: The evaluation of suspected pulmonary embolism.N Engl J Med.2003;349:1247–1256. , .
- Use of a clinical model for safe management of patients with suspected pulmonary embolism.Ann Intern Med.1998;129:997–1005. , , , et al.
- A structured clinical model for predicting the probability of pulmonary embolism.Am J Med.2003;114(3):173–179. , , .
- Assessing clinical probability of pulmonary embolism in the emergency ward: a simple score.Arch Intern Med.2001;161(1):92–97. , , , , .
- Interpretation of diagnostic tests and strategies for their use in quantitative decision making. In:Diagnostic strategies for common medical problems.Philadelphia, PA:American College of Physicians,1999. , , , .
- Strategy for diagnosis of patients with suspected acute pulmonary embolism.Chest.1993;103:1553–1559. , , , .
- Prospective comparison of helical CT with angiography in pulmonary embolism: global and selective vascular territory analysis. Interobserver agreement.Eur Radiol.2003;13:823–829. , , , et al.
- Prevalence of acute pulmonary embolism among patients in a general hospital and at autopsy.Chest.1995;108:978–981. , .
- Performance of helical computed tomography in unselected outpatients with suspected pulmonary embolism.Ann Intern Med.2001;135(2):88–97. , , , et al.
- Value of the ventilation/perfusion scan in acute pulmonary embolism. Results of the prospective investigation of pulmonary embolism diagnosis (PIOPED).The PIOPED Investigators.JAMA.1990;263:2753–2759.
- Excluding pulmonary embolism at the bedside without diagnostic imaging: management of patients with suspected pulmonary embolism presenting to the emergency department by using a simple clinical model and d‐dimer.Ann Intern Med.2001;135(2):98–107. , , , et al.
- Comparison of two clinical prediction rules and implicit assessment among patients with suspected pulmonary embolism.Am J Med.2002;113(4):269–275. , , , et al.
- Does this patient have pulmonary embolism?JAMA.2003;290:2849–2858. , , , et al.
- Diagnostic strategies for excluding pulmonary embolism in clinical outcome studies. A systematic review.Ann Intern Med.2003;138:941–951. , , , , .
- D‐dimer for the exclusion of acute venous thrombosis and pulmonary embolism: a systematic review.Ann Intern Med.2004;140:589–602. , , , et al.
- Multislice computed tomography for pulmonary embolism—a technological marvel.N Engl J Med2005;352(17):1812–4. .
- Systematic review and meta‐analysis of strategies for the diagnosis of suspected pulmonary embolism.Br Med J.2005;331:259. , , , , , .
Spiral computed tomographic pulmonary angiography (CTPA) is a common first‐line test for the evaluation of suspected pulmonary embolism (PE). At our institution CTPA became the initial diagnostic study in 83% of patients with suspected PE within 3 years of the introduction of CT,1 and by 2001 CTPA had become the most common diagnostic test performed nationwide in patients diagnosed with PE.2 Most scans are interpreted as either positive or negative for pulmonary embolism, providing clinicians with a greater sense of diagnostic certainty than with the probabilistic results of lung scintigraphy. Initial studies of CTPA supported this appearance of diagnostic certainty, reporting sensitivity and specificity of greater than 90%,3, 4 but several subsequent studies have failed to reproduce these results.57 Newer multidetector CT scans are believed to be more accurate than earlier single‐detector CT,8 but true estimates of CTPA test characteristics will not be known until publication of the forthcoming PIOPED II study.9
Even without these data, CT‐based diagnostic algorithms have already appeared.1014 These algorithms generally focus on minimizing the false‐negative rate through use of serial testing (involving combinations of serum D‐dimer, lower‐extremity ultrasound, and CTPA). A recent meta‐analysis demonstrated that negative CTPA is highly accurate at ruling out PE, with test characteristics similar to conventional pulmonary angiography.15 Another meta‐analysis found that the 3‐month rate of subsequent venous thromboembolism after negative CTPA was 1.4% (95% CI 1.1%‐1.8%),16 supporting the strategy of withholding anticoagulants after negative CTPA in combination with other tests. However, use of serial testing to establish the diagnosis of PE and initiate anticoagulation has not been systematically evaluated or recommended, even for patients with a low pretest probability of PE.17
To assess the potential impact of these algorithms on the diagnosis of PE in clinical practice, we analyzed the clinical presentation and treatment of a cohort of patients at our institution who underwent CTPA for suspected PE.1 We calculated a range of posttest probabilities for pulmonary embolism for these patients, given the pretest probabilities, test results, and estimates of CTPA test characteristics. We then compared the treatment decisions of clinicians to the posttest probabilities of PE in order to establish the potential frequency of false‐positive and false‐negative diagnoses and to determine if patients were treated appropriately based on these estimates.
METHODS
Sites and Subjects
Details of the sites, subjects, and methods used to collect patient‐level data in this analysis have been previously published.1 The study was performed at Moffitt‐Long Hospital and San Francisco General Hospital, teaching hospitals affiliated with the University of California San Francisco School of Medicine. At both sites, single‐detector CT scans were available 24 hours a day throughout the study period and were read by attending radiologists who specialized in thoracic imaging. We excluded patients whose CTPA was not completed as the initial test in the evaluation of suspected PE, those who underwent testing for any indication other than suspected acute PE, and those with incomplete medical records or technically inadequate CTPA.
We randomly selected 345 patients who underwent CTPA between January 1, 1998, and December 31, 2000, from the Radiology Department databases. One investigator (R.L.T.) then abstracted charts of all patients. For each subject, we collected data about history and clinical presentation, diagnostic impressions of the treating clinicians, treatments administered both before and after diagnostic testing, CTPA result, results of other diagnostic tests for PE, and final clinical diagnosis. During the study period, there were no institution‐ or department‐specific guidelines or decision aids available for the diagnosis of PE. Ventilation‐perfusion scan, lower extremity ultrasound, and pulmonary angiography were available, but highly sensitive D‐dimer assays were not in use. The study was approved by the Institutional Review Boards of both sites, and requirement for written informed consent from patients was waived.
Estimates of Pretest Probabilities of Pulmonary Embolism and CTPA Test Characteristics
Several prediction rules1820 generate clinical pretest probabilities for patients with suspected PE. We used the Wells score18 to assign a pretest probability of low, moderate, or high to each patient on the basis of the following clinical variables: leg swelling, hemoptysis, tachycardia, history of recent immobilization, history of prior DVT or PE, active malignancy, and lack of a more likely alternative diagnosis. We chose this rule as (unlike other prediction rules such as the Geneva rule20) the Wells score has been validated for hospitalized patients with suspected PE and does not require arterial blood gas measurements. The prevalence of PE reported in the evaluation of the Wells score was 3.4%, 27.8%, and 78.3% for low, moderate, and high pretest probabilities, respectively.18
As in our previous study,1 we assumed CTPA to be 90% sensitive and 95% specific based on published estimates.3, 17 These values correspond to a positive likelihood ratio of 18 and a negative likelihood ratio of 0.1.21 We chose these values as a best‐case estimate of the test characteristics of CTPA, although other studies have found less impressive results.7 Using these pretest probabilities and likelihood ratios, we then used Bayes' theorem (Figure 1) to calculate the range of expected posttest probabilities of pulmonary embolism.

Calculation of Posttest Probabilities and Comparison to Treatment Outcomes
For each pretest probability category, we used the posttest probabilities calculated above to determine the number of true‐positive pulmonary emboli, as follows:
RESULTS
Patient Characteristics
After excluding 23 patients receiving anticoagulants for other indications prior to CTPA, the study cohort included 322 patients (57.7% female), with an average age of 58.6 years, of whom 20.5% had cancer and 4.5% had a prior history of thromboembolic disease. Scans were primarily ordered by the medicine service (47.7% of cases) and emergency department (22.9%). CTPA was the initial test for 9% of patients evaluated for suspected acute PE during the first 6 months of the study period, increasing to 83% by the end of 2000.1 The overall pretest probability distribution remained the same throughout the entire study period.1
Test Results and Treatment Decisions
Most patients in our cohort had a low (n = 184, 57.1%) or a moderate (n = 101, 31.4%) pretest probability of PE (Table 1). The likelihood of a positive CTPA increased as the pretest probability increased, but even among patients with high clinical risk, only 35.1% had positive CT scans. In total, scans were positive in 57 patients and negative in 265 patients. Clinicians treated 55 patients with a positive CTPA (96.5%); none of these patients underwent additional testing for DVT or PE after the imaging study. Among patients with a negative CTPA, 254 (95.8%) were not treated; none of the patients in whom anticoagulation was withheld underwent further testing, whereas the other 11 patients were treated on the basis of other tests (5 high‐probability ventilation‐perfusion scans, 3 positive leg ultrasounds, and 3 for unclear reasons). Overall, 66 patients (20.5%) were treated for pulmonary embolism.
Pretest probability of PE (number of CTPA performed) | Low (N = 184) | Moderate (N = 101) | High (N = 37) | Total (N = 322) |
---|---|---|---|---|
| ||||
CTPA positive for PE (% of pretest probability group) | 22 (12.0%) | 22 (21.8%) | 13 (35.1%) | 57 (17.7%) |
CTPA negative for PE (% of pretest probability group) | 162 (88.0%) | 79 (78.2%) | 24 (64.9%) | 265 (82.3%) |
Patients with positive CT subsequently treated for PE (% of pretest probability group) | 21 (11.4%) | 21 (20.8%) | 13 (35.1%) | 55 (17.1%) |
Patients treated for PE despite negative CT (% of pretest probability group) | 5 (2.7%) | 3 (3.0%) | 3 (8.1%) | 11 (3.4%) |
Total patients treated for PE (% of pretest probability group) | 26 (14.1%) | 24 (23.8%) | 16 (43.2%) | 66 (20.5%) |
Literature‐Derived Estimates of Posttest Probabilities of Pulmonary Embolism
Patients who have a low pretest probability of PE and a positive CTPA have a posttest probability of 41.6% under our estimate of CTPA test characteristics. Patients with moderate pretest probability have a posttest probability of 87.4% and patients with a high pretest probability will have a 98.5% probability of embolism with a positive scan. The traditional treatment threshold for PE is a posttest probability of 90%.22
Observed Versus Expected PE Rates and Subsequent Treatment
Only 9 of the 22 patients (41%) with a low pretest probability and a positive CTPA likely represent true‐positive emboli. However, clinicians chose to treat 21 of the 22 patients with this combination of pretest probability and imaging findings. Thus, 12 emboli would be considered possible false‐positive diagnoses. Similarly, in the moderate pretest probability group, 2 of 21 patients with moderate pretest probability and 0 of 13 patients with high pretest probability treated for PE had a possibly false‐positive diagnosis. Thus, in total, 25.4% (14 of 55) patients treated for PE had a possible false‐positive diagnosis of pulmonary embolism and may have been unnecessarily administered anticoagulants (Table 2). All patients who potentially had a false‐positive PE had either a low or moderate pretest probability of PE; in fact, the majority (57.1%) of patients with a low pretest probability of PE who were subsequently treated for PE likely had a false‐positive diagnosis.
Pretest probability | ||||
---|---|---|---|---|
Low (n = 184) | Moderate (n = 101) | High (n = 37) | Total (n = 322) | |
| ||||
CTPA positive for PE (% of pretest probability group) | 22 (12.0%) | 22 (21.8%) | 13 (35.1%) | 57 (17.7%) |
Patients with positive CTPA treated for pulmonary embolism (n, % treated in risk group) | 21 (95.4%) | 21 (95.4%) | 13 (100%) | 55 (96.5%) |
Calculated number and rate of probable true‐positive evaluations | ||||
Number of true‐positive PE (n, % treated in risk group) | 9 (42.9%) | 19 (90.5%) | 13 (100%) | 41 (74.6%) |
Calculated number and rate of possible false‐positive evaluations | ||||
Number of possible false‐positive PE (n, % in risk group with unexpected PE) | 12 (58.1%) | 2 (9.5%) | 0 | 14 (25.4%) |
Clinicians were more likely to overtreat a patient with a possible false‐positive CT scan than to withhold treatment from a patient with a possible false‐negative diagnosis. Using the same estimates of CTPA test characteristics, the incidence of possible false‐negative diagnosis of PE was 1.6% (4 possible false‐negative diagnoses among 254 patients with negative CTPA results who were not treated for PE.) All these patients had a high pretest probability of PE.
DISCUSSION
Physicians at our institution regarded CTPA results as definitive, anticoagulating 96.5% of patients with a positive CT and withholding treatment in 95.8% of patients with a negative scan. This practice pattern may result in unnecessary anticoagulation of many patients with a low pretest probability of PE who may have had false‐positive CTPA findings. In contrast, the rate of possible false‐negative diagnosis of PE was low, consistent with the results of several other studies.16
The use of CTPA is likely to increase because of the publication of multiple algorithms advocating that CTPA be the chief imaging study used in the diagnosis of PE.1014 These algorithms recommend serial testing on patients with a negative CTPA in order to minimize the false‐negative rate, but they do not require systematic follow‐up in patients with a positive scan, even if the pretest probability was low. In management trials, this approach resulted in a low false‐negative rate (1.0%‐1.8% at 3‐month follow‐up).1114 However, the rate of major bleeding in patients treated for PE was 3.2%‐6.0% at 3 months,1214 illustrating the potential risk of anticoagulating patients who may have false‐positive diagnoses. Furthermore, premature diagnostic closure after a CTPA positive for PE may result in additional morbidity as a result of missing the true diagnosis.
One potential explanation for the large number of potential false‐positive emboli seen in low‐risk patients is that it is difficult to accurately diagnose distal pulmonary emboli with CTPA. The interrater reliability of CTPA for diagnosis of subsegmental PE is suboptimal,23 and the clinical significance of these emboli remains uncertain.24 Thus, many emboli found in patients with low pretest probability actually may have been subsegmental PE that would not have been diagnosed by another radiologist. As CTPA is more accurate for diagnosing central PE,25 clinicians should consider reviewing positive scans with the interpreting radiologist, especially when the pretest probability was low and the filling defects identified are in distal vessels.
Our results may also illustrate that clinicians have a lower treatment threshold when presented with apparently definitive evidence of pulmonary embolism. Previous proposals on the appropriate treatment threshold for PE, which used Bayesian decision‐making methods similar to ours,22 incorporated PIOPED26 data on the pretest probability of pulmonary embolism, the test characteristics of ventilation‐perfusion scans, and the clinical outcomes of patients in each test result/pretest probability category. However, there is no corresponding data for CTPA, as its test characteristics are still uncertain, and long‐term clinical outcomes have not been documented for patients treated (or not treated) on the basis of CT results.
Our study had several limitations. First, charting bias potentially was introduced by our using a retrospective method of collecting data for calculating pretest probabilities. To address this potential bias, we collected data from the entire medical record, including information available at and preceding the time of the CT scan. We believe this method was effective, as the range of pretest probabilities and the prevalence of PE in our study were very similar to those seen in a number of prospective studies.1820, 26, 27 Although other risk indices exist, the Wells score has been shown to have predictive powers equal to other algorithms and to clinicians; implicit assessments.28, 29 In our cohort, 35.1% of patients with a high pretest probability were diagnosed with PE; although this was lower than that in the initial Wells cohort,18 it was very similar to a subsequent validation study using the Wells algorithm, in which the prevalence of PE in patients with high pretest probability was 37.5%.27 Plasma D‐dimer testing is not routinely used at our hospitals, but it is a component of some CTPA‐based diagnostic algorithms.1114 Although use of D‐dimer testing may have led to fewer scans in patients with negative D‐dimer test results and low pretest probability,30 the high false‐positive rate for D‐dimer assays31 makes it difficult to predict the effect of widespread D‐dimer use on the overall pretest probability distribution. Using our assumptions about CT test characteristics, a pretest probability of more than 30% is required to generate a posttest probability of PE of at least 90% (the traditional treatment threshold for anticoagulant therapy22) with a positive scan. Extensive D‐dimer use would be unlikely to cause such a shift in the distribution of pretest probabilities.
Finally, CT technology has continued to advance, and many institutions now use 64‐slice scanners32 in contrast to the single‐slice scanners in use at the time our data were collected. Our assumptions were that CTPA has a positive likelihood ratio of 18.0 and a negative likelihood ratio of 0.1 (corresponding to a sensitivity of 90% and a specificity of 95%), although many studies of single‐detector CTPA found less impressive values.5, 7 Multidetector CT is thought to be more accurate than was earlier technology, but the true diagnostic performance of multidetector CT is not yet known. However, our findings pertain primarily to clinicians' responses to test results, so even if newer scanners are more accurate, Bayesian analysis will still be required in order to appropriately treat patients. A recent meta‐analysis of diagnostic strategies for PE found CTPA to have a positive likelihood ratio of 24.1, but even using this higher value, patients with a low pretest probability and positive CTPA still have a posttest probability of PE below the traditional treatment threshold.33 As most patients undergoing evaluation for suspected PE have a low pretest probability,17 a substantial number of false‐positive diagnoses of PE may still occur, even with a more accurate diagnostic test.
CT pulmonary angiography has become the first‐line test for pulmonary embolism at our institution, a situation likely mirrored elsewhere. CTPA is safe and rapid and offers the advantage of revealing ancillary lung findings that may be clinically significant.12 Although the test is an important addition to a clinician's diagnostic armamentarium, Bayesian analysis must be used to interpret its results, especially when CTPA is used as the first‐line diagnostic test. Our data raise the troubling concern that reliance on CTPA as the sole diagnostic test for suspected pulmonary embolism may result in a large number of patients with false‐positive CT scans receiving anticoagulation treatment.
Spiral computed tomographic pulmonary angiography (CTPA) is a common first‐line test for the evaluation of suspected pulmonary embolism (PE). At our institution CTPA became the initial diagnostic study in 83% of patients with suspected PE within 3 years of the introduction of CT,1 and by 2001 CTPA had become the most common diagnostic test performed nationwide in patients diagnosed with PE.2 Most scans are interpreted as either positive or negative for pulmonary embolism, providing clinicians with a greater sense of diagnostic certainty than with the probabilistic results of lung scintigraphy. Initial studies of CTPA supported this appearance of diagnostic certainty, reporting sensitivity and specificity of greater than 90%,3, 4 but several subsequent studies have failed to reproduce these results.57 Newer multidetector CT scans are believed to be more accurate than earlier single‐detector CT,8 but true estimates of CTPA test characteristics will not be known until publication of the forthcoming PIOPED II study.9
Even without these data, CT‐based diagnostic algorithms have already appeared.1014 These algorithms generally focus on minimizing the false‐negative rate through use of serial testing (involving combinations of serum D‐dimer, lower‐extremity ultrasound, and CTPA). A recent meta‐analysis demonstrated that negative CTPA is highly accurate at ruling out PE, with test characteristics similar to conventional pulmonary angiography.15 Another meta‐analysis found that the 3‐month rate of subsequent venous thromboembolism after negative CTPA was 1.4% (95% CI 1.1%‐1.8%),16 supporting the strategy of withholding anticoagulants after negative CTPA in combination with other tests. However, use of serial testing to establish the diagnosis of PE and initiate anticoagulation has not been systematically evaluated or recommended, even for patients with a low pretest probability of PE.17
To assess the potential impact of these algorithms on the diagnosis of PE in clinical practice, we analyzed the clinical presentation and treatment of a cohort of patients at our institution who underwent CTPA for suspected PE.1 We calculated a range of posttest probabilities for pulmonary embolism for these patients, given the pretest probabilities, test results, and estimates of CTPA test characteristics. We then compared the treatment decisions of clinicians to the posttest probabilities of PE in order to establish the potential frequency of false‐positive and false‐negative diagnoses and to determine if patients were treated appropriately based on these estimates.
METHODS
Sites and Subjects
Details of the sites, subjects, and methods used to collect patient‐level data in this analysis have been previously published.1 The study was performed at Moffitt‐Long Hospital and San Francisco General Hospital, teaching hospitals affiliated with the University of California San Francisco School of Medicine. At both sites, single‐detector CT scans were available 24 hours a day throughout the study period and were read by attending radiologists who specialized in thoracic imaging. We excluded patients whose CTPA was not completed as the initial test in the evaluation of suspected PE, those who underwent testing for any indication other than suspected acute PE, and those with incomplete medical records or technically inadequate CTPA.
We randomly selected 345 patients who underwent CTPA between January 1, 1998, and December 31, 2000, from the Radiology Department databases. One investigator (R.L.T.) then abstracted charts of all patients. For each subject, we collected data about history and clinical presentation, diagnostic impressions of the treating clinicians, treatments administered both before and after diagnostic testing, CTPA result, results of other diagnostic tests for PE, and final clinical diagnosis. During the study period, there were no institution‐ or department‐specific guidelines or decision aids available for the diagnosis of PE. Ventilation‐perfusion scan, lower extremity ultrasound, and pulmonary angiography were available, but highly sensitive D‐dimer assays were not in use. The study was approved by the Institutional Review Boards of both sites, and requirement for written informed consent from patients was waived.
Estimates of Pretest Probabilities of Pulmonary Embolism and CTPA Test Characteristics
Several prediction rules1820 generate clinical pretest probabilities for patients with suspected PE. We used the Wells score18 to assign a pretest probability of low, moderate, or high to each patient on the basis of the following clinical variables: leg swelling, hemoptysis, tachycardia, history of recent immobilization, history of prior DVT or PE, active malignancy, and lack of a more likely alternative diagnosis. We chose this rule as (unlike other prediction rules such as the Geneva rule20) the Wells score has been validated for hospitalized patients with suspected PE and does not require arterial blood gas measurements. The prevalence of PE reported in the evaluation of the Wells score was 3.4%, 27.8%, and 78.3% for low, moderate, and high pretest probabilities, respectively.18
As in our previous study,1 we assumed CTPA to be 90% sensitive and 95% specific based on published estimates.3, 17 These values correspond to a positive likelihood ratio of 18 and a negative likelihood ratio of 0.1.21 We chose these values as a best‐case estimate of the test characteristics of CTPA, although other studies have found less impressive results.7 Using these pretest probabilities and likelihood ratios, we then used Bayes' theorem (Figure 1) to calculate the range of expected posttest probabilities of pulmonary embolism.

Calculation of Posttest Probabilities and Comparison to Treatment Outcomes
For each pretest probability category, we used the posttest probabilities calculated above to determine the number of true‐positive pulmonary emboli, as follows:
RESULTS
Patient Characteristics
After excluding 23 patients receiving anticoagulants for other indications prior to CTPA, the study cohort included 322 patients (57.7% female), with an average age of 58.6 years, of whom 20.5% had cancer and 4.5% had a prior history of thromboembolic disease. Scans were primarily ordered by the medicine service (47.7% of cases) and emergency department (22.9%). CTPA was the initial test for 9% of patients evaluated for suspected acute PE during the first 6 months of the study period, increasing to 83% by the end of 2000.1 The overall pretest probability distribution remained the same throughout the entire study period.1
Test Results and Treatment Decisions
Most patients in our cohort had a low (n = 184, 57.1%) or a moderate (n = 101, 31.4%) pretest probability of PE (Table 1). The likelihood of a positive CTPA increased as the pretest probability increased, but even among patients with high clinical risk, only 35.1% had positive CT scans. In total, scans were positive in 57 patients and negative in 265 patients. Clinicians treated 55 patients with a positive CTPA (96.5%); none of these patients underwent additional testing for DVT or PE after the imaging study. Among patients with a negative CTPA, 254 (95.8%) were not treated; none of the patients in whom anticoagulation was withheld underwent further testing, whereas the other 11 patients were treated on the basis of other tests (5 high‐probability ventilation‐perfusion scans, 3 positive leg ultrasounds, and 3 for unclear reasons). Overall, 66 patients (20.5%) were treated for pulmonary embolism.
Pretest probability of PE (number of CTPA performed) | Low (N = 184) | Moderate (N = 101) | High (N = 37) | Total (N = 322) |
---|---|---|---|---|
| ||||
CTPA positive for PE (% of pretest probability group) | 22 (12.0%) | 22 (21.8%) | 13 (35.1%) | 57 (17.7%) |
CTPA negative for PE (% of pretest probability group) | 162 (88.0%) | 79 (78.2%) | 24 (64.9%) | 265 (82.3%) |
Patients with positive CT subsequently treated for PE (% of pretest probability group) | 21 (11.4%) | 21 (20.8%) | 13 (35.1%) | 55 (17.1%) |
Patients treated for PE despite negative CT (% of pretest probability group) | 5 (2.7%) | 3 (3.0%) | 3 (8.1%) | 11 (3.4%) |
Total patients treated for PE (% of pretest probability group) | 26 (14.1%) | 24 (23.8%) | 16 (43.2%) | 66 (20.5%) |
Literature‐Derived Estimates of Posttest Probabilities of Pulmonary Embolism
Patients who have a low pretest probability of PE and a positive CTPA have a posttest probability of 41.6% under our estimate of CTPA test characteristics. Patients with moderate pretest probability have a posttest probability of 87.4% and patients with a high pretest probability will have a 98.5% probability of embolism with a positive scan. The traditional treatment threshold for PE is a posttest probability of 90%.22
Observed Versus Expected PE Rates and Subsequent Treatment
Only 9 of the 22 patients (41%) with a low pretest probability and a positive CTPA likely represent true‐positive emboli. However, clinicians chose to treat 21 of the 22 patients with this combination of pretest probability and imaging findings. Thus, 12 emboli would be considered possible false‐positive diagnoses. Similarly, in the moderate pretest probability group, 2 of 21 patients with moderate pretest probability and 0 of 13 patients with high pretest probability treated for PE had a possibly false‐positive diagnosis. Thus, in total, 25.4% (14 of 55) patients treated for PE had a possible false‐positive diagnosis of pulmonary embolism and may have been unnecessarily administered anticoagulants (Table 2). All patients who potentially had a false‐positive PE had either a low or moderate pretest probability of PE; in fact, the majority (57.1%) of patients with a low pretest probability of PE who were subsequently treated for PE likely had a false‐positive diagnosis.
Pretest probability | ||||
---|---|---|---|---|
Low (n = 184) | Moderate (n = 101) | High (n = 37) | Total (n = 322) | |
| ||||
CTPA positive for PE (% of pretest probability group) | 22 (12.0%) | 22 (21.8%) | 13 (35.1%) | 57 (17.7%) |
Patients with positive CTPA treated for pulmonary embolism (n, % treated in risk group) | 21 (95.4%) | 21 (95.4%) | 13 (100%) | 55 (96.5%) |
Calculated number and rate of probable true‐positive evaluations | ||||
Number of true‐positive PE (n, % treated in risk group) | 9 (42.9%) | 19 (90.5%) | 13 (100%) | 41 (74.6%) |
Calculated number and rate of possible false‐positive evaluations | ||||
Number of possible false‐positive PE (n, % in risk group with unexpected PE) | 12 (58.1%) | 2 (9.5%) | 0 | 14 (25.4%) |
Clinicians were more likely to overtreat a patient with a possible false‐positive CT scan than to withhold treatment from a patient with a possible false‐negative diagnosis. Using the same estimates of CTPA test characteristics, the incidence of possible false‐negative diagnosis of PE was 1.6% (4 possible false‐negative diagnoses among 254 patients with negative CTPA results who were not treated for PE.) All these patients had a high pretest probability of PE.
DISCUSSION
Physicians at our institution regarded CTPA results as definitive, anticoagulating 96.5% of patients with a positive CT and withholding treatment in 95.8% of patients with a negative scan. This practice pattern may result in unnecessary anticoagulation of many patients with a low pretest probability of PE who may have had false‐positive CTPA findings. In contrast, the rate of possible false‐negative diagnosis of PE was low, consistent with the results of several other studies.16
The use of CTPA is likely to increase because of the publication of multiple algorithms advocating that CTPA be the chief imaging study used in the diagnosis of PE.1014 These algorithms recommend serial testing on patients with a negative CTPA in order to minimize the false‐negative rate, but they do not require systematic follow‐up in patients with a positive scan, even if the pretest probability was low. In management trials, this approach resulted in a low false‐negative rate (1.0%‐1.8% at 3‐month follow‐up).1114 However, the rate of major bleeding in patients treated for PE was 3.2%‐6.0% at 3 months,1214 illustrating the potential risk of anticoagulating patients who may have false‐positive diagnoses. Furthermore, premature diagnostic closure after a CTPA positive for PE may result in additional morbidity as a result of missing the true diagnosis.
One potential explanation for the large number of potential false‐positive emboli seen in low‐risk patients is that it is difficult to accurately diagnose distal pulmonary emboli with CTPA. The interrater reliability of CTPA for diagnosis of subsegmental PE is suboptimal,23 and the clinical significance of these emboli remains uncertain.24 Thus, many emboli found in patients with low pretest probability actually may have been subsegmental PE that would not have been diagnosed by another radiologist. As CTPA is more accurate for diagnosing central PE,25 clinicians should consider reviewing positive scans with the interpreting radiologist, especially when the pretest probability was low and the filling defects identified are in distal vessels.
Our results may also illustrate that clinicians have a lower treatment threshold when presented with apparently definitive evidence of pulmonary embolism. Previous proposals on the appropriate treatment threshold for PE, which used Bayesian decision‐making methods similar to ours,22 incorporated PIOPED26 data on the pretest probability of pulmonary embolism, the test characteristics of ventilation‐perfusion scans, and the clinical outcomes of patients in each test result/pretest probability category. However, there is no corresponding data for CTPA, as its test characteristics are still uncertain, and long‐term clinical outcomes have not been documented for patients treated (or not treated) on the basis of CT results.
Our study had several limitations. First, charting bias potentially was introduced by our using a retrospective method of collecting data for calculating pretest probabilities. To address this potential bias, we collected data from the entire medical record, including information available at and preceding the time of the CT scan. We believe this method was effective, as the range of pretest probabilities and the prevalence of PE in our study were very similar to those seen in a number of prospective studies.1820, 26, 27 Although other risk indices exist, the Wells score has been shown to have predictive powers equal to other algorithms and to clinicians; implicit assessments.28, 29 In our cohort, 35.1% of patients with a high pretest probability were diagnosed with PE; although this was lower than that in the initial Wells cohort,18 it was very similar to a subsequent validation study using the Wells algorithm, in which the prevalence of PE in patients with high pretest probability was 37.5%.27 Plasma D‐dimer testing is not routinely used at our hospitals, but it is a component of some CTPA‐based diagnostic algorithms.1114 Although use of D‐dimer testing may have led to fewer scans in patients with negative D‐dimer test results and low pretest probability,30 the high false‐positive rate for D‐dimer assays31 makes it difficult to predict the effect of widespread D‐dimer use on the overall pretest probability distribution. Using our assumptions about CT test characteristics, a pretest probability of more than 30% is required to generate a posttest probability of PE of at least 90% (the traditional treatment threshold for anticoagulant therapy22) with a positive scan. Extensive D‐dimer use would be unlikely to cause such a shift in the distribution of pretest probabilities.
Finally, CT technology has continued to advance, and many institutions now use 64‐slice scanners32 in contrast to the single‐slice scanners in use at the time our data were collected. Our assumptions were that CTPA has a positive likelihood ratio of 18.0 and a negative likelihood ratio of 0.1 (corresponding to a sensitivity of 90% and a specificity of 95%), although many studies of single‐detector CTPA found less impressive values.5, 7 Multidetector CT is thought to be more accurate than was earlier technology, but the true diagnostic performance of multidetector CT is not yet known. However, our findings pertain primarily to clinicians' responses to test results, so even if newer scanners are more accurate, Bayesian analysis will still be required in order to appropriately treat patients. A recent meta‐analysis of diagnostic strategies for PE found CTPA to have a positive likelihood ratio of 24.1, but even using this higher value, patients with a low pretest probability and positive CTPA still have a posttest probability of PE below the traditional treatment threshold.33 As most patients undergoing evaluation for suspected PE have a low pretest probability,17 a substantial number of false‐positive diagnoses of PE may still occur, even with a more accurate diagnostic test.
CT pulmonary angiography has become the first‐line test for pulmonary embolism at our institution, a situation likely mirrored elsewhere. CTPA is safe and rapid and offers the advantage of revealing ancillary lung findings that may be clinically significant.12 Although the test is an important addition to a clinician's diagnostic armamentarium, Bayesian analysis must be used to interpret its results, especially when CTPA is used as the first‐line diagnostic test. Our data raise the troubling concern that reliance on CTPA as the sole diagnostic test for suspected pulmonary embolism may result in a large number of patients with false‐positive CT scans receiving anticoagulation treatment.
- The impact of helical computed tomography on diagnostic and treatment strategies in patients with suspected pulmonary embolism.Am J Med.2004;116:84–90. , , , , .
- Trends in the use of diagnostic imaging in patients hospitalized with acute pulmonary embolism.Am J Cardiol.2004;93:1316–1317. , , .
- Central pulmonary thromboembolism: diagnosis with spiral volumetric CT with the single‐breath‐old technique—comparison with pulmonary angiography.Radiology.1992;185:381–387. , , , .
- Pulmonary embolism: validation of spiral CT angiography in 149 patients.Radiology.1996;201:467–470. , , , et al.
- Lung scintigraphy and helical computed tomography for the diagnosis of pulmonary embolism: a meta‐analysis.Clin Appl Thromb Hemost.2001;7(2):87–92. , , , , .
- The role of spiral volumetric computed tomography in the diagnosis of pulmonary embolism.Arch Intern Med.2000;160(3):293–298. , , , .
- Sensitivity and specificity of helical computed tomography in the diagnosis of pulmonary embolism: a systematic review.Ann Intern Med.2000;132(3):227–232. , , .
- Suspected acute pulmonary embolism: evaluation with multi‐detector row CT versus digital subtraction pulmonary arteriography.Radiology.2004;233:806–815. , , , et al.
- Overview of Prospective Investigation of Pulmonary Embolism Diagnosis II.Semin Nucl Med.2002;32(3):173–182. , , , .
- Management of suspected pulmonary embolism (PE) by D‐dimer and multi‐slice computed tomography in outpatients: an outcome study.J Thromb Haemost.2005;3:1926–1932. , , , et al.
- Multidetector‐row computed tomography in suspected pulmonary embolism.N Engl J Med.2005;352:1760–1768. , , , et al.
- Single‐detector helical computed tomography as the primary diagnostic test in suspected pulmonary embolism: a multicenter clinical management study of 510 patients.Ann Intern Med.2003;138:307–314. , , , et al.
- Diagnostic strategy for patients with suspected pulmonary embolism: a prospective multicentre outcome study.Lancet.2002;260:1914–1920. , , , et al.
- Diagnosing pulmonary embolism in outpatients with clinical assessment, D‐dimer measurement, venous ultrasound, and helical computed tomography: a multicenter management study.Am J Med.2004;116:291–299. , , , et al.
- Clinical validity of a negative computed tomography scan in patients with suspected pulmonary embolism: a systematic review.JAMA.2005;293:2012–2017. , , , et al.
- Meta‐analysis: outcomes in patients with suspected pulmonary embolism managed with computed tomographic pulmonary angiography.Ann Intern Med.2004;141:866–874. , , , .
- Clinical Practice: The evaluation of suspected pulmonary embolism.N Engl J Med.2003;349:1247–1256. , .
- Use of a clinical model for safe management of patients with suspected pulmonary embolism.Ann Intern Med.1998;129:997–1005. , , , et al.
- A structured clinical model for predicting the probability of pulmonary embolism.Am J Med.2003;114(3):173–179. , , .
- Assessing clinical probability of pulmonary embolism in the emergency ward: a simple score.Arch Intern Med.2001;161(1):92–97. , , , , .
- Interpretation of diagnostic tests and strategies for their use in quantitative decision making. In:Diagnostic strategies for common medical problems.Philadelphia, PA:American College of Physicians,1999. , , , .
- Strategy for diagnosis of patients with suspected acute pulmonary embolism.Chest.1993;103:1553–1559. , , , .
- Prospective comparison of helical CT with angiography in pulmonary embolism: global and selective vascular territory analysis. Interobserver agreement.Eur Radiol.2003;13:823–829. , , , et al.
- Prevalence of acute pulmonary embolism among patients in a general hospital and at autopsy.Chest.1995;108:978–981. , .
- Performance of helical computed tomography in unselected outpatients with suspected pulmonary embolism.Ann Intern Med.2001;135(2):88–97. , , , et al.
- Value of the ventilation/perfusion scan in acute pulmonary embolism. Results of the prospective investigation of pulmonary embolism diagnosis (PIOPED).The PIOPED Investigators.JAMA.1990;263:2753–2759.
- Excluding pulmonary embolism at the bedside without diagnostic imaging: management of patients with suspected pulmonary embolism presenting to the emergency department by using a simple clinical model and d‐dimer.Ann Intern Med.2001;135(2):98–107. , , , et al.
- Comparison of two clinical prediction rules and implicit assessment among patients with suspected pulmonary embolism.Am J Med.2002;113(4):269–275. , , , et al.
- Does this patient have pulmonary embolism?JAMA.2003;290:2849–2858. , , , et al.
- Diagnostic strategies for excluding pulmonary embolism in clinical outcome studies. A systematic review.Ann Intern Med.2003;138:941–951. , , , , .
- D‐dimer for the exclusion of acute venous thrombosis and pulmonary embolism: a systematic review.Ann Intern Med.2004;140:589–602. , , , et al.
- Multislice computed tomography for pulmonary embolism—a technological marvel.N Engl J Med2005;352(17):1812–4. .
- Systematic review and meta‐analysis of strategies for the diagnosis of suspected pulmonary embolism.Br Med J.2005;331:259. , , , , , .
- The impact of helical computed tomography on diagnostic and treatment strategies in patients with suspected pulmonary embolism.Am J Med.2004;116:84–90. , , , , .
- Trends in the use of diagnostic imaging in patients hospitalized with acute pulmonary embolism.Am J Cardiol.2004;93:1316–1317. , , .
- Central pulmonary thromboembolism: diagnosis with spiral volumetric CT with the single‐breath‐old technique—comparison with pulmonary angiography.Radiology.1992;185:381–387. , , , .
- Pulmonary embolism: validation of spiral CT angiography in 149 patients.Radiology.1996;201:467–470. , , , et al.
- Lung scintigraphy and helical computed tomography for the diagnosis of pulmonary embolism: a meta‐analysis.Clin Appl Thromb Hemost.2001;7(2):87–92. , , , , .
- The role of spiral volumetric computed tomography in the diagnosis of pulmonary embolism.Arch Intern Med.2000;160(3):293–298. , , , .
- Sensitivity and specificity of helical computed tomography in the diagnosis of pulmonary embolism: a systematic review.Ann Intern Med.2000;132(3):227–232. , , .
- Suspected acute pulmonary embolism: evaluation with multi‐detector row CT versus digital subtraction pulmonary arteriography.Radiology.2004;233:806–815. , , , et al.
- Overview of Prospective Investigation of Pulmonary Embolism Diagnosis II.Semin Nucl Med.2002;32(3):173–182. , , , .
- Management of suspected pulmonary embolism (PE) by D‐dimer and multi‐slice computed tomography in outpatients: an outcome study.J Thromb Haemost.2005;3:1926–1932. , , , et al.
- Multidetector‐row computed tomography in suspected pulmonary embolism.N Engl J Med.2005;352:1760–1768. , , , et al.
- Single‐detector helical computed tomography as the primary diagnostic test in suspected pulmonary embolism: a multicenter clinical management study of 510 patients.Ann Intern Med.2003;138:307–314. , , , et al.
- Diagnostic strategy for patients with suspected pulmonary embolism: a prospective multicentre outcome study.Lancet.2002;260:1914–1920. , , , et al.
- Diagnosing pulmonary embolism in outpatients with clinical assessment, D‐dimer measurement, venous ultrasound, and helical computed tomography: a multicenter management study.Am J Med.2004;116:291–299. , , , et al.
- Clinical validity of a negative computed tomography scan in patients with suspected pulmonary embolism: a systematic review.JAMA.2005;293:2012–2017. , , , et al.
- Meta‐analysis: outcomes in patients with suspected pulmonary embolism managed with computed tomographic pulmonary angiography.Ann Intern Med.2004;141:866–874. , , , .
- Clinical Practice: The evaluation of suspected pulmonary embolism.N Engl J Med.2003;349:1247–1256. , .
- Use of a clinical model for safe management of patients with suspected pulmonary embolism.Ann Intern Med.1998;129:997–1005. , , , et al.
- A structured clinical model for predicting the probability of pulmonary embolism.Am J Med.2003;114(3):173–179. , , .
- Assessing clinical probability of pulmonary embolism in the emergency ward: a simple score.Arch Intern Med.2001;161(1):92–97. , , , , .
- Interpretation of diagnostic tests and strategies for their use in quantitative decision making. In:Diagnostic strategies for common medical problems.Philadelphia, PA:American College of Physicians,1999. , , , .
- Strategy for diagnosis of patients with suspected acute pulmonary embolism.Chest.1993;103:1553–1559. , , , .
- Prospective comparison of helical CT with angiography in pulmonary embolism: global and selective vascular territory analysis. Interobserver agreement.Eur Radiol.2003;13:823–829. , , , et al.
- Prevalence of acute pulmonary embolism among patients in a general hospital and at autopsy.Chest.1995;108:978–981. , .
- Performance of helical computed tomography in unselected outpatients with suspected pulmonary embolism.Ann Intern Med.2001;135(2):88–97. , , , et al.
- Value of the ventilation/perfusion scan in acute pulmonary embolism. Results of the prospective investigation of pulmonary embolism diagnosis (PIOPED).The PIOPED Investigators.JAMA.1990;263:2753–2759.
- Excluding pulmonary embolism at the bedside without diagnostic imaging: management of patients with suspected pulmonary embolism presenting to the emergency department by using a simple clinical model and d‐dimer.Ann Intern Med.2001;135(2):98–107. , , , et al.
- Comparison of two clinical prediction rules and implicit assessment among patients with suspected pulmonary embolism.Am J Med.2002;113(4):269–275. , , , et al.
- Does this patient have pulmonary embolism?JAMA.2003;290:2849–2858. , , , et al.
- Diagnostic strategies for excluding pulmonary embolism in clinical outcome studies. A systematic review.Ann Intern Med.2003;138:941–951. , , , , .
- D‐dimer for the exclusion of acute venous thrombosis and pulmonary embolism: a systematic review.Ann Intern Med.2004;140:589–602. , , , et al.
- Multislice computed tomography for pulmonary embolism—a technological marvel.N Engl J Med2005;352(17):1812–4. .
- Systematic review and meta‐analysis of strategies for the diagnosis of suspected pulmonary embolism.Br Med J.2005;331:259. , , , , , .
Copyright © 2006 Society of Hospital Medicine
Editorial
I recently performed a PubMed search for hospitalists, which returned 561 citations, yet a second search for pediatric hospitalists produced only 37 citations. Growing up in Boston as a sports fan, my memories are filled with images that parallel these findings. One particularly vivid memory is of a Patriots game years ago. During that game, a very dynamic member of the opposing team was caught on camera picking up a phone on the sideline and telling the caller to call out the National Guard because we are killing the Patriots.
Now, pediatric hospital medicine is hardly being killed, and admittedly there were several methodological flaws in how I collected my data. However, this gap in number of publications must shrink if pediatric hospital medicine is to thrive. Like both hospital medicine and emergency medicine before it, pediatric hospital medicine must demonstrate what makes the field distinct and unique if is to be truly recognized as a medical subspecialty. The surest way to succeed in this endeavor is through the dissemination of information via peer‐reviewed journals such as the Journal of Hospital Medicine, potentially an ideal home for us.
It is important to note that dissemination of information is not limited to publication of original research. Pediatric hospital medicine is primarily a clinical field, and as such, practitioners may be spending 80%‐90% of their time (or more) caring for patients. This obviously does not leave much time for other academic pursuits. That being said, sharing many kinds of information can promote excellence in the care of hospitalized pediatric patients. Here are some types of articles that may prove useful.
-
Writing that integrates, rather than discovers, new knowledge
-
Review articles addressing the diagnosis and treatment of clinical conditions
-
Illustrative case reports or series drawn from clinical practice
-
Descriptions of best practice
-
QI/QA programs
-
Patient safety initiatives
-
Use of decision support or other information technology tools
-
Strategies to maintain physician wellness and career longevity
-
Creation of educational curricula or competency assessment methods
-
Leadership and professional development
This suggestion to share information of many types is not meant to downplay the importance of original research. As pediatric hospital medicine grows, its research component must grow as well in order to continually define and redefine the field itself, especially with regard to collaborative studies. In the future, it will no longer be acceptable for pediatric hospital programs to be practicing in isolation, without regard for nationally recognized and published benchmarks or other measures of quality. However, I believe that it is equally important for individuals to have outlets for these other forms of scholarship. Both the Society of Hospital Medicine and the Journal of Hospital Medicine are committed to the growth and development of pediatric hospital medicine. We encourage pediatric hospitalists to submit manuscripts and to become reviewers. You can do both at
I recently performed a PubMed search for hospitalists, which returned 561 citations, yet a second search for pediatric hospitalists produced only 37 citations. Growing up in Boston as a sports fan, my memories are filled with images that parallel these findings. One particularly vivid memory is of a Patriots game years ago. During that game, a very dynamic member of the opposing team was caught on camera picking up a phone on the sideline and telling the caller to call out the National Guard because we are killing the Patriots.
Now, pediatric hospital medicine is hardly being killed, and admittedly there were several methodological flaws in how I collected my data. However, this gap in number of publications must shrink if pediatric hospital medicine is to thrive. Like both hospital medicine and emergency medicine before it, pediatric hospital medicine must demonstrate what makes the field distinct and unique if is to be truly recognized as a medical subspecialty. The surest way to succeed in this endeavor is through the dissemination of information via peer‐reviewed journals such as the Journal of Hospital Medicine, potentially an ideal home for us.
It is important to note that dissemination of information is not limited to publication of original research. Pediatric hospital medicine is primarily a clinical field, and as such, practitioners may be spending 80%‐90% of their time (or more) caring for patients. This obviously does not leave much time for other academic pursuits. That being said, sharing many kinds of information can promote excellence in the care of hospitalized pediatric patients. Here are some types of articles that may prove useful.
-
Writing that integrates, rather than discovers, new knowledge
-
Review articles addressing the diagnosis and treatment of clinical conditions
-
Illustrative case reports or series drawn from clinical practice
-
Descriptions of best practice
-
QI/QA programs
-
Patient safety initiatives
-
Use of decision support or other information technology tools
-
Strategies to maintain physician wellness and career longevity
-
Creation of educational curricula or competency assessment methods
-
Leadership and professional development
This suggestion to share information of many types is not meant to downplay the importance of original research. As pediatric hospital medicine grows, its research component must grow as well in order to continually define and redefine the field itself, especially with regard to collaborative studies. In the future, it will no longer be acceptable for pediatric hospital programs to be practicing in isolation, without regard for nationally recognized and published benchmarks or other measures of quality. However, I believe that it is equally important for individuals to have outlets for these other forms of scholarship. Both the Society of Hospital Medicine and the Journal of Hospital Medicine are committed to the growth and development of pediatric hospital medicine. We encourage pediatric hospitalists to submit manuscripts and to become reviewers. You can do both at
I recently performed a PubMed search for hospitalists, which returned 561 citations, yet a second search for pediatric hospitalists produced only 37 citations. Growing up in Boston as a sports fan, my memories are filled with images that parallel these findings. One particularly vivid memory is of a Patriots game years ago. During that game, a very dynamic member of the opposing team was caught on camera picking up a phone on the sideline and telling the caller to call out the National Guard because we are killing the Patriots.
Now, pediatric hospital medicine is hardly being killed, and admittedly there were several methodological flaws in how I collected my data. However, this gap in number of publications must shrink if pediatric hospital medicine is to thrive. Like both hospital medicine and emergency medicine before it, pediatric hospital medicine must demonstrate what makes the field distinct and unique if is to be truly recognized as a medical subspecialty. The surest way to succeed in this endeavor is through the dissemination of information via peer‐reviewed journals such as the Journal of Hospital Medicine, potentially an ideal home for us.
It is important to note that dissemination of information is not limited to publication of original research. Pediatric hospital medicine is primarily a clinical field, and as such, practitioners may be spending 80%‐90% of their time (or more) caring for patients. This obviously does not leave much time for other academic pursuits. That being said, sharing many kinds of information can promote excellence in the care of hospitalized pediatric patients. Here are some types of articles that may prove useful.
-
Writing that integrates, rather than discovers, new knowledge
-
Review articles addressing the diagnosis and treatment of clinical conditions
-
Illustrative case reports or series drawn from clinical practice
-
Descriptions of best practice
-
QI/QA programs
-
Patient safety initiatives
-
Use of decision support or other information technology tools
-
Strategies to maintain physician wellness and career longevity
-
Creation of educational curricula or competency assessment methods
-
Leadership and professional development
This suggestion to share information of many types is not meant to downplay the importance of original research. As pediatric hospital medicine grows, its research component must grow as well in order to continually define and redefine the field itself, especially with regard to collaborative studies. In the future, it will no longer be acceptable for pediatric hospital programs to be practicing in isolation, without regard for nationally recognized and published benchmarks or other measures of quality. However, I believe that it is equally important for individuals to have outlets for these other forms of scholarship. Both the Society of Hospital Medicine and the Journal of Hospital Medicine are committed to the growth and development of pediatric hospital medicine. We encourage pediatric hospitalists to submit manuscripts and to become reviewers. You can do both at
Status of US Hospital Medicine Groups
The term hospitalist was coined in 1996 in an article1 that appeared in the New England Journal of Medicine. Robert M. Wachter, MD, and Lee Goldman, MD, of the University of California, San Francisco, defined hospitalists as hospital‐based physicians who take responsibility for managing medical inpatients. Hospitalists were described as having responsibility for seeing unassigned hospital patients and being available for in‐hospital consultations. Several years later, the Society of Hospital Medicine posted the definition of a hospitalist as someone whose primary professional focus is the medical care of hospitalized patientsin patient care, education, research, and administrative activities.
In January 2002, Wachter and Goldman published a follow‐up article,2 The Hospitalist Movement 5 Years Later, in the Journal of the American Medical Association. This formal review of 19 published studies analyzed the impact of hospital medicine groups on financial and clinical outcomes. Wachter and Goldman concluded, Empirical research supports the premise that hospitalists improve inpatient efficiency without harmful effects on quality or patient satisfaction. These studies indicate an average reduction of cost per stay of 13.4% and an average reduction in length of stay of 16.6%.
The evolution of the hospitalist movement has been fast paced and extensive. Given the recent pace of growth, a scholarly analysis estimated that the mature hospitalist workforce in the United States will eventually total 20,000, making it the equivalent of the cardiology specialty.3 Beyond sheer growth, medical literature has demonstrated positive effects of the hospitalist model on patient quality outcomes, including readmission rates, postoperative complications, and mortality.47
In addition to peer‐reviewed medical literature, there is anecdotal evidence about the growth and effects of the hospitalist movement:
The Society of Hospital Medicine (SHM), the hospitalist professional society, estimated that in 2003 there were 8000 physicians practicing as hospitalists in the United States.8
Twelve of the country's top 15 hospitals have hospital medicine groups.8
As hospital medicine groups have proliferated, 4 major employment models have evolved. Hospitalists can be employees of: 1) a hospital or a hospital subsidiary; 2) a multispecialty or primary care physician group; 3) a medical group (local or national) of independent hospitalists; or 4) a university or medical school. However, there is little published data on the prevalence of each of these hospitalist employment models, nationally or by type of hospital.
To better understand the extent and nature of the hospitalist movement, the American Hospital Association (AHA) utilized its 2003 Annual Survey to gather data on hospital medicine groups in the United States
DATA AND METHODS
The data for our analysis came from the 2003 AHA Annual Survey. Conducted since 1946, this survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States about the availability of services, utilization, personnel, finances, and governance. Its main purpose is to provide a cross‐sectional view of hospitals and hospital performance over time. In the 2003 survey, a series of items were added about hospitalists including whether hospitals had hospital medicine groups, the number of hospitalists operating in such groups, and the employment model used.
The study population for this analysis was limited to US community hospitals (n = 4895). Community hospitals are defined as all adult and pediatric nonfederal, short‐term general, and specialty hospitals whose facilities and services are available to the public. Excluded from the analysis were all federal hospitals, long‐term care hospitals, and psychiatric hospitals.
Imputation of Missing Data
In the 2003 survey, 77% of the 4895 US community hospitals answered the question on specific use of hospitalists. To get a complete picture of the number of groups and hospitalists, we imputed data for the nonresponding hospitals.
We performed logistic regression analysis of data from the responding hospitals to estimate the number of nonresponding hospitals that had a group and the number of hospitalists in these groups. The dependent variable in the regression was whether a hospital had a group, and the independent variables included hospital characteristics for which data were available for all US hospitals, both survey respondents and nonrespondents. The results of the regression analysis were then applied to the data for each nonresponding hospital to estimate its probability of having a group. These probabilities were summed over the various nonresponding hospitals to estimate the total number of nonresponding hospitals that had groups.
To impute the number of hospitalists in the nonresponding set of hospitals, the additional number of groups was stratified into the 9 US Census Divisions. On the basis of reported data, the average number of hospitalists per group was calculated at the Census Division level. The per‐group value was then applied to the number of additional groups, and the result was added to the total number of reported hospitalists. The Census Division values were then summed to produce the national total. To produce results for all other control groupings, the national total was then apportioned across the categories according to percentage of hospitalists by category on the basis of the reported data.
Analytical Plan
In analyzing the hospitalist movement across the country, we realized there are 2 dimensions of diffusion, which can be characterized as breadth and depth. In the present study:
The measure of breadth is the percentage of hospital medicine groups in a given group of hospitals. In the Results section, this measure is sometimes referred to as penetration.
The measure of depth is the number of hospitalists for each average daily census (ADC) of 100 patients. For instance, for a hospital with an average daily census of 100 that has 4 hospitalists, that measure is 4. To compute this metric for a given category of hospitals (eg, major teaching hospitals), the numerator is the number of hospitalists and the denominator is the ADC at hospitals that have hospital medicine groups. The metric reflects the in‐hospital impact of hospital medicine groups at their hospitals.
Using these 2 measures, it is possible to differentiate between a group of hospitals that has many hospital medicine groups but each group has a minimal impact at the hospital versus a group of hospitals that has few hospital medicine groups but each group has a major impact at the hospital.
The analysis also characterizes the employment status of hospitalists by comparing the proportion of hospitals in each of the employment models by category of hospital.
RESULTS
Diffusion and Impact
Overall, the penetration of hospital medicine groups across the 4895 hospitals in the United States is 29% and the in‐hospital impact at hospitals with hospital medicine groups is 3.93 hospitalists per 100 ADC. The average hospital medicine group has 7.9 hospitalists at a hospital with an ADC of 200.6.
Geographic Categories (Tables 1A and 2A)
The Northeast (46%) and the Pacific (40%) divisions have the greatest penetration of hospital medicine groups. The West North Central Division (16%) has the lowest penetration of hospital medicine groups. Hospital medicine groups in the West South Central Division average 11.1 hospitalists, which partially explains why this region has the greatest in‐hospital impact (6.24 hospitalists per 100 ADC). At the other end of the spectrum are the Middle Atlantic and East South Central divisions with (2.42 and 2.83 hospitalists per 100 ADC, respectively.
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Region | |||
1: Northeast | 203 | 94 | 46% |
2: Mid‐Atlantic | 486 | 172 | 35% |
3: South‐Atlantic | 731 | 272 | 37% |
4: East North Central | 732 | 209 | 29% |
5: East South Central | 427 | 92 | 22% |
6: West North Central | 675 | 106 | 16% |
7: West South Central | 737 | 164 | 22% |
8: Mountain | 348 | 83 | 24% |
9: Pacific | 556 | 223 | 40% |
Rural/urban | |||
Rural | 2166 | 235 | 11% |
Small urban | 1285 | 488 | 38% |
Large urban | 1444 | 692 | 48% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Region | ||||
1: Northeast | 94 | 669 | 7.1 | 3.62 |
2: Mid‐Atlantic | 172 | 1133 | 6.6 | 2.42 |
3: South Atlantic | 272 | 1933 | 7.1 | 3.21 |
4: East North Central | 209 | 2087 | 10.0 | 4.65 |
5: East South Central | 92 | 433 | 4.7 | 2.83 |
6: West North Central | 106 | 887 | 8.4 | 4.37 |
7: West South Central | 164 | 1828 | 11.1 | 6.24 |
8: Mountain | 83 | 644 | 7.8 | 4.43 |
9: Pacific | 223 | 1546 | 6.9 | 4.56 |
Rural/urban | ||||
Rural | 235 | 893 | 3.8 | 4.85 |
Small urban | 488 | 3236 | 6.6 | 3.03 |
Large urban | 692 | 7030 | 10.2 | 4.43 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
There are more hospital medicine groups in urban locations. The penetration of hospital medicine groups is 48% at hospitals in large metropolitan locations (ie, with a population of more than 1 million), 38% at hospitals in small metropolitan locations, and 11% at hospitals in rural areas. However, rural hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC), explained by an average group size of 3.8 and an average ADC of 78.4.
Hospital Size, Control/Ownership, and Teaching Status (Tables 1B and 2B)
The penetration of hospital medicine groups increases as the size of the hospital increases. Six percent of hospitals with 6‐24 beds have groups, whereas 71% of hospitals with 500+ beds have groups. Among hospitals with 200 or more beds, 55% have hospital medicine groups compared to 19% of hospitals with fewer than 200 beds. As would be expected, larger hospitals have larger hospital medicine groups: hospitals with 6‐24 beds average 2.1 hospitalists, whereas hospitals with 500+ beds average 14.2 hospitalists. However, hospitalists have a proportionately greater impact at smaller hospitals. Their greatest impact is at hospitals with 6‐24 beds (46.34 hospitalists per 100 ADC); their smallest impact is at hospitals with 500+ beds (2.47 hospitalists per 100 ADC).
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Size | |||
6‐24 beds | 327 | 18 | 6% |
25‐49 beds | 965 | 88 | 9% |
50‐99 beds | 1031 | 168 | 16% |
100‐199 beds | 1168 | 372 | 32% |
200‐299 beds | 624 | 287 | 46% |
300‐399 beds | 349 | 183 | 52% |
400‐499 beds | 172 | 116 | 67% |
500+ beds | 259 | 183 | 71% |
Control | |||
Government | 1121 | 161 | 14% |
Not for profit | 2984 | 1032 | 35% |
For profit | 790 | 222 | 28% |
Teaching status | |||
Nonteaching | 3800 | 823 | 22% |
Other teaching | 779 | 382 | 49% |
Major teaching | 316 | 210 | 66% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Size | ||||
6‐24 beds | 18 | 38 | 2.1 | 46.34 |
25‐49 beds | 88 | 260 | 3.0 | 17.94 |
50‐99 beds | 168 | 885 | 5.3 | 12.75 |
100‐199 beds | 372 | 1757 | 4.7 | 5.29 |
200‐299 beds | 287 | 2308 | 8.0 | 4.72 |
300‐399 beds | 183 | 1,553 | 8.5 | 3.29 |
400‐499 beds | 116 | 1751 | 15.1 | 4.35 |
500+ beds | 183 | 2,607 | 14.2 | 2.47 |
Control | ||||
Government | 161 | 1,674 | 10.4 | 5.85 |
Not for profit | 1032 | 8,481 | 8.2 | 3.64 |
For profit | 222 | 1,004 | 4.5 | 4.47 |
Teaching Status | ||||
Nonteaching | 823 | 4,910 | 6.0 | 4.85 |
Other teaching | 382 | 2,678 | 7.0 | 3.25 |
Major teaching | 210 | 3,571 | 17.0 | 3.57 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
Of the 3 categories of control, government groups have the lowest penetration of hospital medicine groups (14%). However, the hospital medicine groups at these government‐controlled hospitals are large (10.4 hospitalists), and they have a significant in‐hospital impact on care at these hospitals (5.85 hospitalists per 100 ADC). Not‐for‐profit hospitals have the highest penetration of hospital medicine groups (35%), whereas hospital medicine groups at for‐profit hospitals have the lowest average size (4.5 hospitalists).
There appears to be a relationship between teaching status and the likelihood that a hospital has a hospital medicine group. The penetration of hospital medicine groups is 66% at major teaching hospitals, 49% at other teaching hospitals, and 22% at nonteaching hospitals. However, nonteaching hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC). This is explained by their having an average group size of 6.0, but an average ADC of only 123.0 (compared to 477.0 for major teaching hospitals and 215.7 for other teaching hospitals).
Employment Models
The results of the analysis of hospitalist employment models (data not shown) can be summarized as follows:
Employees of hospitals: This employment model averaged 33% of all groups, with an average size of 9.8 hospitalists. The employees of hospital model was more prevalent in the Mid‐Atlantic (56%), New England (49%), and West North Central (45%) regions and in rural hospitals (45%). The East South Central (16%) and West South Central (12%) regions and for‐profit hospitals (20%) had fewer hospital employee groups.
Employees of medical groups: This employment model averaged 29% of all groups, with an average of 7.4 hospitalists. More hospitals in the East South Central (35%) and New England (34%) regions had this employment model. Fewer hospitals in the Mid‐Atlantic (18%) and West North Central (18%) regions and rural (18%) hospitals had medical group‐based groups.
Employees of independent hospitalist groups: This employment group averaged 25% of all groups and had the smallest mean number of hospitalists (6.9). This employment model was more prevalent in for‐profit hospitals (43%) and was less prevalent in the New England (9%) and Mid‐Atlantic (11%) regions and in major teaching hospitals (11%) and government hospitals (19%).
CONCLUSIONS
Hospital medicine groups appear to have become part of the mainstream delivery of health care. With more than 11 000 hospitalists, the specialty is equivalent in size to the gastroenterology medical specialty.9 Fifty‐five percent of hospitals with more than 200 beds have hospital medicine groups. Furthermore, it appears that the growth of the hospitalist movement has not peaked. It is likely that the number of hospitals with hospital medicine groups will increase and that existing hospital medicine groups will continue to add hospitalists.
No one employment model of hospital medicine group appears to dominate the health care landscape. We expect that there will continue to be diversity among the organizations that choose to establish hospital medicine groups.
In light of this growth and diversity, hospital medicine groups appear to be valued by a wide range of stakeholders in the health care industry. The potential benefits provided by hospitalists include financial savings, improved throughput efficiency, improved quality and safety, improved medical education, and better provider satisfaction.
Despite this success story, the hospitalist movement has maintained a relatively low profile among consumers and some segments of the health care industry. This is likely to change. As the hospital medicine specialty gains recognition, hospitalists will receive increased scrutiny and attention. This emerging specialty will need to be able to clearly define its role and document its performance in the constantly changing health care industry.
ADDENDUM
Subsequent to the acceptance of this manuscript, the authors received results of the 2004 Annual Survey of the American Hospital Association. Some highlights of the new data and comparisons to the 2003 results are as follows:
The penetration of hospitals with hospital medicine groups grew from 29% to 34% (for hospitals with 200+ beds, the penetration grew from 55% to 63%)
An estimated 1,661 hospitals have hospital medicine groups (an increase of 17% from 2003)
The average size of a hospital medicine group decreased from 7.9 physicians to 7.5 physicians (a decrease of 5%)
It is estimated that there are 12,504 hospitalists in the U.S. (an increase of 12% from 2003)
Hospital medicine groups remain equally distributed among the three employment models: employees of hospitals 30%, employees of medical groups 29%, employees of independent hospitalist groups 29%
These updated results indicate strong hospitalist growth over the one year period and continued diversity among hospital medicine programs, reinforcing the conclusions of the manuscript.
APPENDIX
AHA Annual Survey Overview
Conducted since 1946, the AHA Annual Survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States. Its main purpose is to provide a cross‐sectional view of the hospital field each year and to make it possible to monitor hospital performance over time. The information that it gathers from a universe of approximately 5700 hospitals concerns primarily the availability of services, utilization, personnel, finances, and governance. Newly added to the 2003 survey were the following questions regarding hospitalists: Do hospitalists provide care for patients in your hospital? YES □ NO □
Hospitalist is defined as a physician whose primary professional focus is the care of hospitalized medical patients (through clinical, education, administrative and research activity).
If yes, please report the number of full time and part time hospitalists?
Full‐time ______
Part‐time ______
Full‐time equivalent (FTE) is the total number of hours worked by all employees over the full (12 month) reporting period divided by the normal number of hours worked by a full‐time employee for that same period. For example, if your hospital considers a normal workweek for a full‐time employee to be 40 hours, a total of 2080 hours would be worked over a full year (52 weeks). If the total number of hours worked by all employees on the payroll is 208 000, then the number of FTEs is 100 (employees). The FTE calculation for a specific occupational category such as registered nurses is exactly the same. The calculation for each occupational category should be based on the number of hours worked by staff employed in that specific category.
If yes, please select the category below that best describes the employment model for your hospitalists:
□ Independent provider group
□ Employed by your hospital
□ Employed by a physician group
□ Employed by a university or school program
□ Other
It is the results from these questions that are the subject of this analysis and the manuscript.
- The emerging role of “hospitalists” in the American health care system.N Eng J Med.1996;335:514–517. , .
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- The potential size of the hospitalist workforce in the United StatesAm J Med.1999;106:441–445. , , , , .
- Implementation of a hospitalist service at a community hospital: evolution of service utilization, costs, and patient outcomes [abstract]. National Association of Inpatient Physicians, 3rd Annual Meeting. Philadelphia, Penn, April 11‐12,2000. .
- Decreased length of stay, costs, and mortality in a randomized trial of academic hospitalists [abstract]. National Association of Inpatient Physicians, 4th Annual Meeting, Atlanta, GA, March 27‐28,2001. , , , , , .
- The effect of full‐time faculty hospitalists on the efficiency of care at a community teaching hospital.Ann Intern Med.1998;129:197–203. , .
- Program description: a hospitalist run, medical short‐stay unit in a teaching hospital.CMAJ.2000;163:1477–1480. , , , .
- Society of Hospital Medicine. Growth of hospital medicine nationwide. July 2003. Available at: http://www.hospitalmedicine.org/presentation/apps/indlist/intro.asp?flag=18. Accessed February2005.
- American Medical Association.Physician characteristics and distribution in the US, 2004.Chicago, Ill:American Medical Association,2004.
The term hospitalist was coined in 1996 in an article1 that appeared in the New England Journal of Medicine. Robert M. Wachter, MD, and Lee Goldman, MD, of the University of California, San Francisco, defined hospitalists as hospital‐based physicians who take responsibility for managing medical inpatients. Hospitalists were described as having responsibility for seeing unassigned hospital patients and being available for in‐hospital consultations. Several years later, the Society of Hospital Medicine posted the definition of a hospitalist as someone whose primary professional focus is the medical care of hospitalized patientsin patient care, education, research, and administrative activities.
In January 2002, Wachter and Goldman published a follow‐up article,2 The Hospitalist Movement 5 Years Later, in the Journal of the American Medical Association. This formal review of 19 published studies analyzed the impact of hospital medicine groups on financial and clinical outcomes. Wachter and Goldman concluded, Empirical research supports the premise that hospitalists improve inpatient efficiency without harmful effects on quality or patient satisfaction. These studies indicate an average reduction of cost per stay of 13.4% and an average reduction in length of stay of 16.6%.
The evolution of the hospitalist movement has been fast paced and extensive. Given the recent pace of growth, a scholarly analysis estimated that the mature hospitalist workforce in the United States will eventually total 20,000, making it the equivalent of the cardiology specialty.3 Beyond sheer growth, medical literature has demonstrated positive effects of the hospitalist model on patient quality outcomes, including readmission rates, postoperative complications, and mortality.47
In addition to peer‐reviewed medical literature, there is anecdotal evidence about the growth and effects of the hospitalist movement:
The Society of Hospital Medicine (SHM), the hospitalist professional society, estimated that in 2003 there were 8000 physicians practicing as hospitalists in the United States.8
Twelve of the country's top 15 hospitals have hospital medicine groups.8
As hospital medicine groups have proliferated, 4 major employment models have evolved. Hospitalists can be employees of: 1) a hospital or a hospital subsidiary; 2) a multispecialty or primary care physician group; 3) a medical group (local or national) of independent hospitalists; or 4) a university or medical school. However, there is little published data on the prevalence of each of these hospitalist employment models, nationally or by type of hospital.
To better understand the extent and nature of the hospitalist movement, the American Hospital Association (AHA) utilized its 2003 Annual Survey to gather data on hospital medicine groups in the United States
DATA AND METHODS
The data for our analysis came from the 2003 AHA Annual Survey. Conducted since 1946, this survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States about the availability of services, utilization, personnel, finances, and governance. Its main purpose is to provide a cross‐sectional view of hospitals and hospital performance over time. In the 2003 survey, a series of items were added about hospitalists including whether hospitals had hospital medicine groups, the number of hospitalists operating in such groups, and the employment model used.
The study population for this analysis was limited to US community hospitals (n = 4895). Community hospitals are defined as all adult and pediatric nonfederal, short‐term general, and specialty hospitals whose facilities and services are available to the public. Excluded from the analysis were all federal hospitals, long‐term care hospitals, and psychiatric hospitals.
Imputation of Missing Data
In the 2003 survey, 77% of the 4895 US community hospitals answered the question on specific use of hospitalists. To get a complete picture of the number of groups and hospitalists, we imputed data for the nonresponding hospitals.
We performed logistic regression analysis of data from the responding hospitals to estimate the number of nonresponding hospitals that had a group and the number of hospitalists in these groups. The dependent variable in the regression was whether a hospital had a group, and the independent variables included hospital characteristics for which data were available for all US hospitals, both survey respondents and nonrespondents. The results of the regression analysis were then applied to the data for each nonresponding hospital to estimate its probability of having a group. These probabilities were summed over the various nonresponding hospitals to estimate the total number of nonresponding hospitals that had groups.
To impute the number of hospitalists in the nonresponding set of hospitals, the additional number of groups was stratified into the 9 US Census Divisions. On the basis of reported data, the average number of hospitalists per group was calculated at the Census Division level. The per‐group value was then applied to the number of additional groups, and the result was added to the total number of reported hospitalists. The Census Division values were then summed to produce the national total. To produce results for all other control groupings, the national total was then apportioned across the categories according to percentage of hospitalists by category on the basis of the reported data.
Analytical Plan
In analyzing the hospitalist movement across the country, we realized there are 2 dimensions of diffusion, which can be characterized as breadth and depth. In the present study:
The measure of breadth is the percentage of hospital medicine groups in a given group of hospitals. In the Results section, this measure is sometimes referred to as penetration.
The measure of depth is the number of hospitalists for each average daily census (ADC) of 100 patients. For instance, for a hospital with an average daily census of 100 that has 4 hospitalists, that measure is 4. To compute this metric for a given category of hospitals (eg, major teaching hospitals), the numerator is the number of hospitalists and the denominator is the ADC at hospitals that have hospital medicine groups. The metric reflects the in‐hospital impact of hospital medicine groups at their hospitals.
Using these 2 measures, it is possible to differentiate between a group of hospitals that has many hospital medicine groups but each group has a minimal impact at the hospital versus a group of hospitals that has few hospital medicine groups but each group has a major impact at the hospital.
The analysis also characterizes the employment status of hospitalists by comparing the proportion of hospitals in each of the employment models by category of hospital.
RESULTS
Diffusion and Impact
Overall, the penetration of hospital medicine groups across the 4895 hospitals in the United States is 29% and the in‐hospital impact at hospitals with hospital medicine groups is 3.93 hospitalists per 100 ADC. The average hospital medicine group has 7.9 hospitalists at a hospital with an ADC of 200.6.
Geographic Categories (Tables 1A and 2A)
The Northeast (46%) and the Pacific (40%) divisions have the greatest penetration of hospital medicine groups. The West North Central Division (16%) has the lowest penetration of hospital medicine groups. Hospital medicine groups in the West South Central Division average 11.1 hospitalists, which partially explains why this region has the greatest in‐hospital impact (6.24 hospitalists per 100 ADC). At the other end of the spectrum are the Middle Atlantic and East South Central divisions with (2.42 and 2.83 hospitalists per 100 ADC, respectively.
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Region | |||
1: Northeast | 203 | 94 | 46% |
2: Mid‐Atlantic | 486 | 172 | 35% |
3: South‐Atlantic | 731 | 272 | 37% |
4: East North Central | 732 | 209 | 29% |
5: East South Central | 427 | 92 | 22% |
6: West North Central | 675 | 106 | 16% |
7: West South Central | 737 | 164 | 22% |
8: Mountain | 348 | 83 | 24% |
9: Pacific | 556 | 223 | 40% |
Rural/urban | |||
Rural | 2166 | 235 | 11% |
Small urban | 1285 | 488 | 38% |
Large urban | 1444 | 692 | 48% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Region | ||||
1: Northeast | 94 | 669 | 7.1 | 3.62 |
2: Mid‐Atlantic | 172 | 1133 | 6.6 | 2.42 |
3: South Atlantic | 272 | 1933 | 7.1 | 3.21 |
4: East North Central | 209 | 2087 | 10.0 | 4.65 |
5: East South Central | 92 | 433 | 4.7 | 2.83 |
6: West North Central | 106 | 887 | 8.4 | 4.37 |
7: West South Central | 164 | 1828 | 11.1 | 6.24 |
8: Mountain | 83 | 644 | 7.8 | 4.43 |
9: Pacific | 223 | 1546 | 6.9 | 4.56 |
Rural/urban | ||||
Rural | 235 | 893 | 3.8 | 4.85 |
Small urban | 488 | 3236 | 6.6 | 3.03 |
Large urban | 692 | 7030 | 10.2 | 4.43 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
There are more hospital medicine groups in urban locations. The penetration of hospital medicine groups is 48% at hospitals in large metropolitan locations (ie, with a population of more than 1 million), 38% at hospitals in small metropolitan locations, and 11% at hospitals in rural areas. However, rural hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC), explained by an average group size of 3.8 and an average ADC of 78.4.
Hospital Size, Control/Ownership, and Teaching Status (Tables 1B and 2B)
The penetration of hospital medicine groups increases as the size of the hospital increases. Six percent of hospitals with 6‐24 beds have groups, whereas 71% of hospitals with 500+ beds have groups. Among hospitals with 200 or more beds, 55% have hospital medicine groups compared to 19% of hospitals with fewer than 200 beds. As would be expected, larger hospitals have larger hospital medicine groups: hospitals with 6‐24 beds average 2.1 hospitalists, whereas hospitals with 500+ beds average 14.2 hospitalists. However, hospitalists have a proportionately greater impact at smaller hospitals. Their greatest impact is at hospitals with 6‐24 beds (46.34 hospitalists per 100 ADC); their smallest impact is at hospitals with 500+ beds (2.47 hospitalists per 100 ADC).
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Size | |||
6‐24 beds | 327 | 18 | 6% |
25‐49 beds | 965 | 88 | 9% |
50‐99 beds | 1031 | 168 | 16% |
100‐199 beds | 1168 | 372 | 32% |
200‐299 beds | 624 | 287 | 46% |
300‐399 beds | 349 | 183 | 52% |
400‐499 beds | 172 | 116 | 67% |
500+ beds | 259 | 183 | 71% |
Control | |||
Government | 1121 | 161 | 14% |
Not for profit | 2984 | 1032 | 35% |
For profit | 790 | 222 | 28% |
Teaching status | |||
Nonteaching | 3800 | 823 | 22% |
Other teaching | 779 | 382 | 49% |
Major teaching | 316 | 210 | 66% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Size | ||||
6‐24 beds | 18 | 38 | 2.1 | 46.34 |
25‐49 beds | 88 | 260 | 3.0 | 17.94 |
50‐99 beds | 168 | 885 | 5.3 | 12.75 |
100‐199 beds | 372 | 1757 | 4.7 | 5.29 |
200‐299 beds | 287 | 2308 | 8.0 | 4.72 |
300‐399 beds | 183 | 1,553 | 8.5 | 3.29 |
400‐499 beds | 116 | 1751 | 15.1 | 4.35 |
500+ beds | 183 | 2,607 | 14.2 | 2.47 |
Control | ||||
Government | 161 | 1,674 | 10.4 | 5.85 |
Not for profit | 1032 | 8,481 | 8.2 | 3.64 |
For profit | 222 | 1,004 | 4.5 | 4.47 |
Teaching Status | ||||
Nonteaching | 823 | 4,910 | 6.0 | 4.85 |
Other teaching | 382 | 2,678 | 7.0 | 3.25 |
Major teaching | 210 | 3,571 | 17.0 | 3.57 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
Of the 3 categories of control, government groups have the lowest penetration of hospital medicine groups (14%). However, the hospital medicine groups at these government‐controlled hospitals are large (10.4 hospitalists), and they have a significant in‐hospital impact on care at these hospitals (5.85 hospitalists per 100 ADC). Not‐for‐profit hospitals have the highest penetration of hospital medicine groups (35%), whereas hospital medicine groups at for‐profit hospitals have the lowest average size (4.5 hospitalists).
There appears to be a relationship between teaching status and the likelihood that a hospital has a hospital medicine group. The penetration of hospital medicine groups is 66% at major teaching hospitals, 49% at other teaching hospitals, and 22% at nonteaching hospitals. However, nonteaching hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC). This is explained by their having an average group size of 6.0, but an average ADC of only 123.0 (compared to 477.0 for major teaching hospitals and 215.7 for other teaching hospitals).
Employment Models
The results of the analysis of hospitalist employment models (data not shown) can be summarized as follows:
Employees of hospitals: This employment model averaged 33% of all groups, with an average size of 9.8 hospitalists. The employees of hospital model was more prevalent in the Mid‐Atlantic (56%), New England (49%), and West North Central (45%) regions and in rural hospitals (45%). The East South Central (16%) and West South Central (12%) regions and for‐profit hospitals (20%) had fewer hospital employee groups.
Employees of medical groups: This employment model averaged 29% of all groups, with an average of 7.4 hospitalists. More hospitals in the East South Central (35%) and New England (34%) regions had this employment model. Fewer hospitals in the Mid‐Atlantic (18%) and West North Central (18%) regions and rural (18%) hospitals had medical group‐based groups.
Employees of independent hospitalist groups: This employment group averaged 25% of all groups and had the smallest mean number of hospitalists (6.9). This employment model was more prevalent in for‐profit hospitals (43%) and was less prevalent in the New England (9%) and Mid‐Atlantic (11%) regions and in major teaching hospitals (11%) and government hospitals (19%).
CONCLUSIONS
Hospital medicine groups appear to have become part of the mainstream delivery of health care. With more than 11 000 hospitalists, the specialty is equivalent in size to the gastroenterology medical specialty.9 Fifty‐five percent of hospitals with more than 200 beds have hospital medicine groups. Furthermore, it appears that the growth of the hospitalist movement has not peaked. It is likely that the number of hospitals with hospital medicine groups will increase and that existing hospital medicine groups will continue to add hospitalists.
No one employment model of hospital medicine group appears to dominate the health care landscape. We expect that there will continue to be diversity among the organizations that choose to establish hospital medicine groups.
In light of this growth and diversity, hospital medicine groups appear to be valued by a wide range of stakeholders in the health care industry. The potential benefits provided by hospitalists include financial savings, improved throughput efficiency, improved quality and safety, improved medical education, and better provider satisfaction.
Despite this success story, the hospitalist movement has maintained a relatively low profile among consumers and some segments of the health care industry. This is likely to change. As the hospital medicine specialty gains recognition, hospitalists will receive increased scrutiny and attention. This emerging specialty will need to be able to clearly define its role and document its performance in the constantly changing health care industry.
ADDENDUM
Subsequent to the acceptance of this manuscript, the authors received results of the 2004 Annual Survey of the American Hospital Association. Some highlights of the new data and comparisons to the 2003 results are as follows:
The penetration of hospitals with hospital medicine groups grew from 29% to 34% (for hospitals with 200+ beds, the penetration grew from 55% to 63%)
An estimated 1,661 hospitals have hospital medicine groups (an increase of 17% from 2003)
The average size of a hospital medicine group decreased from 7.9 physicians to 7.5 physicians (a decrease of 5%)
It is estimated that there are 12,504 hospitalists in the U.S. (an increase of 12% from 2003)
Hospital medicine groups remain equally distributed among the three employment models: employees of hospitals 30%, employees of medical groups 29%, employees of independent hospitalist groups 29%
These updated results indicate strong hospitalist growth over the one year period and continued diversity among hospital medicine programs, reinforcing the conclusions of the manuscript.
APPENDIX
AHA Annual Survey Overview
Conducted since 1946, the AHA Annual Survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States. Its main purpose is to provide a cross‐sectional view of the hospital field each year and to make it possible to monitor hospital performance over time. The information that it gathers from a universe of approximately 5700 hospitals concerns primarily the availability of services, utilization, personnel, finances, and governance. Newly added to the 2003 survey were the following questions regarding hospitalists: Do hospitalists provide care for patients in your hospital? YES □ NO □
Hospitalist is defined as a physician whose primary professional focus is the care of hospitalized medical patients (through clinical, education, administrative and research activity).
If yes, please report the number of full time and part time hospitalists?
Full‐time ______
Part‐time ______
Full‐time equivalent (FTE) is the total number of hours worked by all employees over the full (12 month) reporting period divided by the normal number of hours worked by a full‐time employee for that same period. For example, if your hospital considers a normal workweek for a full‐time employee to be 40 hours, a total of 2080 hours would be worked over a full year (52 weeks). If the total number of hours worked by all employees on the payroll is 208 000, then the number of FTEs is 100 (employees). The FTE calculation for a specific occupational category such as registered nurses is exactly the same. The calculation for each occupational category should be based on the number of hours worked by staff employed in that specific category.
If yes, please select the category below that best describes the employment model for your hospitalists:
□ Independent provider group
□ Employed by your hospital
□ Employed by a physician group
□ Employed by a university or school program
□ Other
It is the results from these questions that are the subject of this analysis and the manuscript.
The term hospitalist was coined in 1996 in an article1 that appeared in the New England Journal of Medicine. Robert M. Wachter, MD, and Lee Goldman, MD, of the University of California, San Francisco, defined hospitalists as hospital‐based physicians who take responsibility for managing medical inpatients. Hospitalists were described as having responsibility for seeing unassigned hospital patients and being available for in‐hospital consultations. Several years later, the Society of Hospital Medicine posted the definition of a hospitalist as someone whose primary professional focus is the medical care of hospitalized patientsin patient care, education, research, and administrative activities.
In January 2002, Wachter and Goldman published a follow‐up article,2 The Hospitalist Movement 5 Years Later, in the Journal of the American Medical Association. This formal review of 19 published studies analyzed the impact of hospital medicine groups on financial and clinical outcomes. Wachter and Goldman concluded, Empirical research supports the premise that hospitalists improve inpatient efficiency without harmful effects on quality or patient satisfaction. These studies indicate an average reduction of cost per stay of 13.4% and an average reduction in length of stay of 16.6%.
The evolution of the hospitalist movement has been fast paced and extensive. Given the recent pace of growth, a scholarly analysis estimated that the mature hospitalist workforce in the United States will eventually total 20,000, making it the equivalent of the cardiology specialty.3 Beyond sheer growth, medical literature has demonstrated positive effects of the hospitalist model on patient quality outcomes, including readmission rates, postoperative complications, and mortality.47
In addition to peer‐reviewed medical literature, there is anecdotal evidence about the growth and effects of the hospitalist movement:
The Society of Hospital Medicine (SHM), the hospitalist professional society, estimated that in 2003 there were 8000 physicians practicing as hospitalists in the United States.8
Twelve of the country's top 15 hospitals have hospital medicine groups.8
As hospital medicine groups have proliferated, 4 major employment models have evolved. Hospitalists can be employees of: 1) a hospital or a hospital subsidiary; 2) a multispecialty or primary care physician group; 3) a medical group (local or national) of independent hospitalists; or 4) a university or medical school. However, there is little published data on the prevalence of each of these hospitalist employment models, nationally or by type of hospital.
To better understand the extent and nature of the hospitalist movement, the American Hospital Association (AHA) utilized its 2003 Annual Survey to gather data on hospital medicine groups in the United States
DATA AND METHODS
The data for our analysis came from the 2003 AHA Annual Survey. Conducted since 1946, this survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States about the availability of services, utilization, personnel, finances, and governance. Its main purpose is to provide a cross‐sectional view of hospitals and hospital performance over time. In the 2003 survey, a series of items were added about hospitalists including whether hospitals had hospital medicine groups, the number of hospitalists operating in such groups, and the employment model used.
The study population for this analysis was limited to US community hospitals (n = 4895). Community hospitals are defined as all adult and pediatric nonfederal, short‐term general, and specialty hospitals whose facilities and services are available to the public. Excluded from the analysis were all federal hospitals, long‐term care hospitals, and psychiatric hospitals.
Imputation of Missing Data
In the 2003 survey, 77% of the 4895 US community hospitals answered the question on specific use of hospitalists. To get a complete picture of the number of groups and hospitalists, we imputed data for the nonresponding hospitals.
We performed logistic regression analysis of data from the responding hospitals to estimate the number of nonresponding hospitals that had a group and the number of hospitalists in these groups. The dependent variable in the regression was whether a hospital had a group, and the independent variables included hospital characteristics for which data were available for all US hospitals, both survey respondents and nonrespondents. The results of the regression analysis were then applied to the data for each nonresponding hospital to estimate its probability of having a group. These probabilities were summed over the various nonresponding hospitals to estimate the total number of nonresponding hospitals that had groups.
To impute the number of hospitalists in the nonresponding set of hospitals, the additional number of groups was stratified into the 9 US Census Divisions. On the basis of reported data, the average number of hospitalists per group was calculated at the Census Division level. The per‐group value was then applied to the number of additional groups, and the result was added to the total number of reported hospitalists. The Census Division values were then summed to produce the national total. To produce results for all other control groupings, the national total was then apportioned across the categories according to percentage of hospitalists by category on the basis of the reported data.
Analytical Plan
In analyzing the hospitalist movement across the country, we realized there are 2 dimensions of diffusion, which can be characterized as breadth and depth. In the present study:
The measure of breadth is the percentage of hospital medicine groups in a given group of hospitals. In the Results section, this measure is sometimes referred to as penetration.
The measure of depth is the number of hospitalists for each average daily census (ADC) of 100 patients. For instance, for a hospital with an average daily census of 100 that has 4 hospitalists, that measure is 4. To compute this metric for a given category of hospitals (eg, major teaching hospitals), the numerator is the number of hospitalists and the denominator is the ADC at hospitals that have hospital medicine groups. The metric reflects the in‐hospital impact of hospital medicine groups at their hospitals.
Using these 2 measures, it is possible to differentiate between a group of hospitals that has many hospital medicine groups but each group has a minimal impact at the hospital versus a group of hospitals that has few hospital medicine groups but each group has a major impact at the hospital.
The analysis also characterizes the employment status of hospitalists by comparing the proportion of hospitals in each of the employment models by category of hospital.
RESULTS
Diffusion and Impact
Overall, the penetration of hospital medicine groups across the 4895 hospitals in the United States is 29% and the in‐hospital impact at hospitals with hospital medicine groups is 3.93 hospitalists per 100 ADC. The average hospital medicine group has 7.9 hospitalists at a hospital with an ADC of 200.6.
Geographic Categories (Tables 1A and 2A)
The Northeast (46%) and the Pacific (40%) divisions have the greatest penetration of hospital medicine groups. The West North Central Division (16%) has the lowest penetration of hospital medicine groups. Hospital medicine groups in the West South Central Division average 11.1 hospitalists, which partially explains why this region has the greatest in‐hospital impact (6.24 hospitalists per 100 ADC). At the other end of the spectrum are the Middle Atlantic and East South Central divisions with (2.42 and 2.83 hospitalists per 100 ADC, respectively.
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Region | |||
1: Northeast | 203 | 94 | 46% |
2: Mid‐Atlantic | 486 | 172 | 35% |
3: South‐Atlantic | 731 | 272 | 37% |
4: East North Central | 732 | 209 | 29% |
5: East South Central | 427 | 92 | 22% |
6: West North Central | 675 | 106 | 16% |
7: West South Central | 737 | 164 | 22% |
8: Mountain | 348 | 83 | 24% |
9: Pacific | 556 | 223 | 40% |
Rural/urban | |||
Rural | 2166 | 235 | 11% |
Small urban | 1285 | 488 | 38% |
Large urban | 1444 | 692 | 48% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Region | ||||
1: Northeast | 94 | 669 | 7.1 | 3.62 |
2: Mid‐Atlantic | 172 | 1133 | 6.6 | 2.42 |
3: South Atlantic | 272 | 1933 | 7.1 | 3.21 |
4: East North Central | 209 | 2087 | 10.0 | 4.65 |
5: East South Central | 92 | 433 | 4.7 | 2.83 |
6: West North Central | 106 | 887 | 8.4 | 4.37 |
7: West South Central | 164 | 1828 | 11.1 | 6.24 |
8: Mountain | 83 | 644 | 7.8 | 4.43 |
9: Pacific | 223 | 1546 | 6.9 | 4.56 |
Rural/urban | ||||
Rural | 235 | 893 | 3.8 | 4.85 |
Small urban | 488 | 3236 | 6.6 | 3.03 |
Large urban | 692 | 7030 | 10.2 | 4.43 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
There are more hospital medicine groups in urban locations. The penetration of hospital medicine groups is 48% at hospitals in large metropolitan locations (ie, with a population of more than 1 million), 38% at hospitals in small metropolitan locations, and 11% at hospitals in rural areas. However, rural hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC), explained by an average group size of 3.8 and an average ADC of 78.4.
Hospital Size, Control/Ownership, and Teaching Status (Tables 1B and 2B)
The penetration of hospital medicine groups increases as the size of the hospital increases. Six percent of hospitals with 6‐24 beds have groups, whereas 71% of hospitals with 500+ beds have groups. Among hospitals with 200 or more beds, 55% have hospital medicine groups compared to 19% of hospitals with fewer than 200 beds. As would be expected, larger hospitals have larger hospital medicine groups: hospitals with 6‐24 beds average 2.1 hospitalists, whereas hospitals with 500+ beds average 14.2 hospitalists. However, hospitalists have a proportionately greater impact at smaller hospitals. Their greatest impact is at hospitals with 6‐24 beds (46.34 hospitalists per 100 ADC); their smallest impact is at hospitals with 500+ beds (2.47 hospitalists per 100 ADC).
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Size | |||
6‐24 beds | 327 | 18 | 6% |
25‐49 beds | 965 | 88 | 9% |
50‐99 beds | 1031 | 168 | 16% |
100‐199 beds | 1168 | 372 | 32% |
200‐299 beds | 624 | 287 | 46% |
300‐399 beds | 349 | 183 | 52% |
400‐499 beds | 172 | 116 | 67% |
500+ beds | 259 | 183 | 71% |
Control | |||
Government | 1121 | 161 | 14% |
Not for profit | 2984 | 1032 | 35% |
For profit | 790 | 222 | 28% |
Teaching status | |||
Nonteaching | 3800 | 823 | 22% |
Other teaching | 779 | 382 | 49% |
Major teaching | 316 | 210 | 66% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Size | ||||
6‐24 beds | 18 | 38 | 2.1 | 46.34 |
25‐49 beds | 88 | 260 | 3.0 | 17.94 |
50‐99 beds | 168 | 885 | 5.3 | 12.75 |
100‐199 beds | 372 | 1757 | 4.7 | 5.29 |
200‐299 beds | 287 | 2308 | 8.0 | 4.72 |
300‐399 beds | 183 | 1,553 | 8.5 | 3.29 |
400‐499 beds | 116 | 1751 | 15.1 | 4.35 |
500+ beds | 183 | 2,607 | 14.2 | 2.47 |
Control | ||||
Government | 161 | 1,674 | 10.4 | 5.85 |
Not for profit | 1032 | 8,481 | 8.2 | 3.64 |
For profit | 222 | 1,004 | 4.5 | 4.47 |
Teaching Status | ||||
Nonteaching | 823 | 4,910 | 6.0 | 4.85 |
Other teaching | 382 | 2,678 | 7.0 | 3.25 |
Major teaching | 210 | 3,571 | 17.0 | 3.57 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
Of the 3 categories of control, government groups have the lowest penetration of hospital medicine groups (14%). However, the hospital medicine groups at these government‐controlled hospitals are large (10.4 hospitalists), and they have a significant in‐hospital impact on care at these hospitals (5.85 hospitalists per 100 ADC). Not‐for‐profit hospitals have the highest penetration of hospital medicine groups (35%), whereas hospital medicine groups at for‐profit hospitals have the lowest average size (4.5 hospitalists).
There appears to be a relationship between teaching status and the likelihood that a hospital has a hospital medicine group. The penetration of hospital medicine groups is 66% at major teaching hospitals, 49% at other teaching hospitals, and 22% at nonteaching hospitals. However, nonteaching hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC). This is explained by their having an average group size of 6.0, but an average ADC of only 123.0 (compared to 477.0 for major teaching hospitals and 215.7 for other teaching hospitals).
Employment Models
The results of the analysis of hospitalist employment models (data not shown) can be summarized as follows:
Employees of hospitals: This employment model averaged 33% of all groups, with an average size of 9.8 hospitalists. The employees of hospital model was more prevalent in the Mid‐Atlantic (56%), New England (49%), and West North Central (45%) regions and in rural hospitals (45%). The East South Central (16%) and West South Central (12%) regions and for‐profit hospitals (20%) had fewer hospital employee groups.
Employees of medical groups: This employment model averaged 29% of all groups, with an average of 7.4 hospitalists. More hospitals in the East South Central (35%) and New England (34%) regions had this employment model. Fewer hospitals in the Mid‐Atlantic (18%) and West North Central (18%) regions and rural (18%) hospitals had medical group‐based groups.
Employees of independent hospitalist groups: This employment group averaged 25% of all groups and had the smallest mean number of hospitalists (6.9). This employment model was more prevalent in for‐profit hospitals (43%) and was less prevalent in the New England (9%) and Mid‐Atlantic (11%) regions and in major teaching hospitals (11%) and government hospitals (19%).
CONCLUSIONS
Hospital medicine groups appear to have become part of the mainstream delivery of health care. With more than 11 000 hospitalists, the specialty is equivalent in size to the gastroenterology medical specialty.9 Fifty‐five percent of hospitals with more than 200 beds have hospital medicine groups. Furthermore, it appears that the growth of the hospitalist movement has not peaked. It is likely that the number of hospitals with hospital medicine groups will increase and that existing hospital medicine groups will continue to add hospitalists.
No one employment model of hospital medicine group appears to dominate the health care landscape. We expect that there will continue to be diversity among the organizations that choose to establish hospital medicine groups.
In light of this growth and diversity, hospital medicine groups appear to be valued by a wide range of stakeholders in the health care industry. The potential benefits provided by hospitalists include financial savings, improved throughput efficiency, improved quality and safety, improved medical education, and better provider satisfaction.
Despite this success story, the hospitalist movement has maintained a relatively low profile among consumers and some segments of the health care industry. This is likely to change. As the hospital medicine specialty gains recognition, hospitalists will receive increased scrutiny and attention. This emerging specialty will need to be able to clearly define its role and document its performance in the constantly changing health care industry.
ADDENDUM
Subsequent to the acceptance of this manuscript, the authors received results of the 2004 Annual Survey of the American Hospital Association. Some highlights of the new data and comparisons to the 2003 results are as follows:
The penetration of hospitals with hospital medicine groups grew from 29% to 34% (for hospitals with 200+ beds, the penetration grew from 55% to 63%)
An estimated 1,661 hospitals have hospital medicine groups (an increase of 17% from 2003)
The average size of a hospital medicine group decreased from 7.9 physicians to 7.5 physicians (a decrease of 5%)
It is estimated that there are 12,504 hospitalists in the U.S. (an increase of 12% from 2003)
Hospital medicine groups remain equally distributed among the three employment models: employees of hospitals 30%, employees of medical groups 29%, employees of independent hospitalist groups 29%
These updated results indicate strong hospitalist growth over the one year period and continued diversity among hospital medicine programs, reinforcing the conclusions of the manuscript.
APPENDIX
AHA Annual Survey Overview
Conducted since 1946, the AHA Annual Survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States. Its main purpose is to provide a cross‐sectional view of the hospital field each year and to make it possible to monitor hospital performance over time. The information that it gathers from a universe of approximately 5700 hospitals concerns primarily the availability of services, utilization, personnel, finances, and governance. Newly added to the 2003 survey were the following questions regarding hospitalists: Do hospitalists provide care for patients in your hospital? YES □ NO □
Hospitalist is defined as a physician whose primary professional focus is the care of hospitalized medical patients (through clinical, education, administrative and research activity).
If yes, please report the number of full time and part time hospitalists?
Full‐time ______
Part‐time ______
Full‐time equivalent (FTE) is the total number of hours worked by all employees over the full (12 month) reporting period divided by the normal number of hours worked by a full‐time employee for that same period. For example, if your hospital considers a normal workweek for a full‐time employee to be 40 hours, a total of 2080 hours would be worked over a full year (52 weeks). If the total number of hours worked by all employees on the payroll is 208 000, then the number of FTEs is 100 (employees). The FTE calculation for a specific occupational category such as registered nurses is exactly the same. The calculation for each occupational category should be based on the number of hours worked by staff employed in that specific category.
If yes, please select the category below that best describes the employment model for your hospitalists:
□ Independent provider group
□ Employed by your hospital
□ Employed by a physician group
□ Employed by a university or school program
□ Other
It is the results from these questions that are the subject of this analysis and the manuscript.
- The emerging role of “hospitalists” in the American health care system.N Eng J Med.1996;335:514–517. , .
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- The potential size of the hospitalist workforce in the United StatesAm J Med.1999;106:441–445. , , , , .
- Implementation of a hospitalist service at a community hospital: evolution of service utilization, costs, and patient outcomes [abstract]. National Association of Inpatient Physicians, 3rd Annual Meeting. Philadelphia, Penn, April 11‐12,2000. .
- Decreased length of stay, costs, and mortality in a randomized trial of academic hospitalists [abstract]. National Association of Inpatient Physicians, 4th Annual Meeting, Atlanta, GA, March 27‐28,2001. , , , , , .
- The effect of full‐time faculty hospitalists on the efficiency of care at a community teaching hospital.Ann Intern Med.1998;129:197–203. , .
- Program description: a hospitalist run, medical short‐stay unit in a teaching hospital.CMAJ.2000;163:1477–1480. , , , .
- Society of Hospital Medicine. Growth of hospital medicine nationwide. July 2003. Available at: http://www.hospitalmedicine.org/presentation/apps/indlist/intro.asp?flag=18. Accessed February2005.
- American Medical Association.Physician characteristics and distribution in the US, 2004.Chicago, Ill:American Medical Association,2004.
- The emerging role of “hospitalists” in the American health care system.N Eng J Med.1996;335:514–517. , .
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- The potential size of the hospitalist workforce in the United StatesAm J Med.1999;106:441–445. , , , , .
- Implementation of a hospitalist service at a community hospital: evolution of service utilization, costs, and patient outcomes [abstract]. National Association of Inpatient Physicians, 3rd Annual Meeting. Philadelphia, Penn, April 11‐12,2000. .
- Decreased length of stay, costs, and mortality in a randomized trial of academic hospitalists [abstract]. National Association of Inpatient Physicians, 4th Annual Meeting, Atlanta, GA, March 27‐28,2001. , , , , , .
- The effect of full‐time faculty hospitalists on the efficiency of care at a community teaching hospital.Ann Intern Med.1998;129:197–203. , .
- Program description: a hospitalist run, medical short‐stay unit in a teaching hospital.CMAJ.2000;163:1477–1480. , , , .
- Society of Hospital Medicine. Growth of hospital medicine nationwide. July 2003. Available at: http://www.hospitalmedicine.org/presentation/apps/indlist/intro.asp?flag=18. Accessed February2005.
- American Medical Association.Physician characteristics and distribution in the US, 2004.Chicago, Ill:American Medical Association,2004.
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