Affiliations
Department of Nursing, Chester County Hospital, West Chester, Pennsylvania
Given name(s)
Marc T.
Family name
Zubrow
Degrees
MD

Ultrasound Screening for DVT

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Sun, 05/21/2017 - 17:24
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Asymptomatic deep vein thrombosis in patients undergoing screening duplex ultrasonography

Hospital‐acquired venous thrombus embolism (VTE) is a pressing patient health and safety issue and has been identified as a causal factor in preventable deaths in the hospital setting.[1, 2] More than 540,000 hospitalizations with VTE occur each year among adults in the United States.[3] The number of adults with VTE is anticipated to increase from 0.95 million in 2006 to 1.82 million in 2050.[4] The Institute of Medicine has defined failure to provide adequate thromboprophylaxis to hospitalized, at‐risk patients as a medical error.[2, 5] The American College of Chest Physicians guidelines state that thromboprophylaxis is highly effective at preventing deep vein thrombosis (DVT) and proximal DVT, highly effective at preventing symptomatic VTE and fatal pulmonary emboli (PE), and that the prevention of DVT also prevents PE.[6] Where anticoagulation is contraindicated, mechanical methods of thromboprophylaxis are recommended as preferable to no thromboprophylaxis, with careful attention directed toward ensuring the proper use of, and optimal adherence with, mechanical prophylaxis.[7, 8] In our institution, concerns about the existence of asymptomatic clots being propagated into PEs by the placement of pneumatic compression boots (PCBs), led to routine performance of duplex Doppler ultrasound with compression (DUSC) before applying PCBs to those patients who were admitted and who were deemed to have a contraindication to anticoagulation prophylaxis. The recently released (April 2012) American College of Radiology Choosing Wisely list of practices specifically recommends forgoing imaging for DVT and PE in the absence of risk factors.[9] The recommendations do not specifically address screening for DVT prior to the initiation of prophylaxis. The goal of this prospective observational study, conducted prior to the Choosing Wisely campaign, was to verify our hypothesis that the prevalence of asymptomatic DVTs was very low, and provide our clinicians with evidence to allay concerns about placement of PCBs without imaging, allowing a practice pattern that would reduce costs without impacting patient safety.

METHODS

Study Population

We collected the records of all 1136 consecutive patients who underwent lower extremity DUSC within 48 hours of admission to the hospital, prior to PCB placement, between October 2005 and November 2006. The decision as to what type of prophylaxis was appropriate for each patient and if a DUSC was necessary prior to PCB placement was up to the individual attending physician. The study patient population included elective and emergent admissions from the medical, surgical, and obstetrical services.

Data Source

Study patients were identified at the time of the screening duplex study and entered into the database. A test was considered positive if a clot was detected at the level of the popliteal vein, or higher, in either leg. Patients' charts were reviewed for identification of DVT, defined as a positive (same criteria) DUSC during the hospitalization. Pulmonary emboli were defined as a positive computed tomography angiogram or high‐probability lung scan plus positive risk factors for DVT. A manual chart review (performed by J.U.), thoroughly examining all 1136 inpatient records, was completed to identify diagnoses and risk factors, which are defined as follows:

  • Age >60 years.
  • Cancer at time of admission or within 6 months of admission.
  • Ambulatory dysfunction defined as diagnosis of ambulatory dysfunction stated in the electronic medical record (EMR), bedridden >3 days prior to admission, lower extremity cast or splinting, or major surgery (intra‐abdominal, neurosurgery, cardiac surgery, or orthopedic surgery requiring admission) within 8 weeks of admission.
  • Obesity defined as diagnosis of obesity in EMR or body mass index (BMI) >30.
  • Acute stroke (cerebrovascular accident) or transient ischemic attack.
  • Acute myocardial infarction or acute coronary syndrome.
  • Previous DVT/PE documented in EMR.
  • Genetic predisposition defined as documented as history of, but not limited to, factor V Leiden syndrome, antithrombin III deficiency, protein C deficiency, protein S deficiency, hyperhomocysteinemia, or prothrombin 20210 mutation.
  • Hormone replacement/birth control pills defined as hormone replacement therapy, birth control pills, including Nuva Ring and Ortho Evra, pregnancy, or <6 weeks postpartum.

 

Sociodemographic data (age, gender, race, weight, height, and status of healthcare insurance) and time from arrival at the emergency room to ultrasound (US) examination were extracted from the EMR database.

The study was conducted with the approval of the Christiana Care Health Services institutional review board, and procedures were conducted in accordance with institutional guidelines.

Statistical Analysis

A t test or Wilcoxon rank sum test for continuous variables, and [2] or Fisher exact test for categorical variables, were used to compare demographic and clinical data according to the presence or absence of DVT. Logistic regression was used to determine the relative importance of each risk factor on the risk of DVT. Because the variable time to US was not normally distributed, we transformed it into a categorical variable using the median as the cut point. All the tests were 2‐sided, and P values <0.05 were considered significant. We used Current Procedural Terminology (CPT) code 93970 and the associated 2012 Medicare National Average reimbursement of $261.07 to estimate the cost of DUSC that could be avoided. Data were analyzed using the Statistical Analysis System version 9.2 (SAS Institute, Cary, NC).

RESULTS

A total of 1136 consecutive records were examined; 4 records were excluded from the analysis because they had a diagnosed PE prior to US, and 35 records were excluded because the US was performed beyond 48 hours after admission. The final dataset included 1097 hospital admissions for 1071 patients. Of the 1097 admissions, 759 (69.2%) originated from the emergency department (ED). It is important to note that 70,161 hospital admissions occurred during the same time period, of which 36,363 (51.8%) were admissions that started in the ED. The proportion of patients requiring mechanical DVT prophylaxis is therefore very small (<5%), assuming that a large number of the patients with unplanned admissions would require DVT prophylaxis.

Of the 1071 patients in the final analytical dataset, 544 (50.8%) were male, the mean age was 65.5 years, the mean BMI was 28.7 (median, 27.0) (Table 1), and the majority of the patients were white. US was performed within 24 hours in 712 (66.5%) patients, and 665 (62.1%) had Medicare. An asymptomatic DVT was detected by DUSC in 19 patients (1.8%). None of the clinical and demographic characteristics were statistically different between those with DVT and without (Table 1).

Demographic and Clinical Characteristics According to DVT Discovered at Admission
 Total, n=1071DVT, n=19Non‐DVT, n=1052P
  • NOTE: Abbreviations: BMI, body mass index; DVT, deep vein thrombosis; HMO, health maintenance organization; PE, pulmonary embolism; SD, standard deviation; US, ultrasonography.

Male (%)544 (50.8)6 (31.6)538 (51.1)0.11
Age, y, meanSD65.516.371.415.365.416.30.11
BMI, kg/m2, meanSD28.77.630.112.928.77.50.52
Time to US test from admission, h, median19.921.319.80.72
Race   0.74
White (%)802 (74.9)15 (78.9)787 (74.8) 
Black (%)221 (20.6)3 (15.8)218 (20.7) 
Other (%)48 (4.5)1 (5.3)47 (4.5) 
Duplex US test <24 hours (%)712 (66.5)12 (63.2)700 (66.5)0.81
DVT during admission (%)2 (0.19)02 (0.19)1.0
PE during admission (%)2 (0.19)02 (0.19)1.0
Medical insurance (%)   0.79
Self‐pay35 (3.3)0 (0.0)35 (3.3) 
Medicare665 (62.1)15 (78.9)650 (61.8) 
Medicaid44 (4.1)1 (5.3)43 (4.1) 
HMO49 (4.6)0 (0.0)49 (4.7) 
Blue Cross136 (12.7)2 (10.5)134 (12.7) 
Other142 (13.3)1 (5.3)141 (13.4) 

Patients with DVT had at least 1 risk factor; 16 (84.2%) of them had 2 or more risk factors. In addition, the presence of 2 or more risk factors was much more frequent among those with DVT than among those without (84.2% [16/19] vs 58.4% [614/1052], P=0.03).

As shown in Table 2, a history of DVT or PE and ambulatory dysfunction are the only risk factors associated with DVT at admission. In addition, the prevalence of DVT increases as the number of risk factors increases (Table 3). The prevalence is much higher in those who had 4 or more risk factors than among those with fewer than 4 risk factors (12.2% [6/49] vs 1.3% [13/1022], P=0.0001).

Risk Factors According to DVT Discovered at Admission
 Total, n=1071DVT, n=19Non‐DVT, n=1052P
  • NOTE: Data are presented as number (%). Abbreviations: DVT, deep vein thrombosis; PE, pulmonary embolism; TIA, transient ischemic attack.

Age 60 years702 (65.6)15 (79.0)687 (65.3)0.33
Previous DVT or PE80 (7.5)9 (47.4)71 (6.8)<0.0001
Ambulatory dysfunction228 (21.3)9 (47.4)219 (20.8)0.01
Obesity372 (34.7)6 (31.6)366 (34.8)1.00
Heart failure164 (15.3)4 (21.1)160 (15.2)0.52
Stroke/TIA75 (7.0)3 (15.8)72 (6.8)0.14
Acute coronary syndrome99 (9.2)1 (5.3)98 (9.3)1.00
Active cancer124 (11.6)4 (21.1)120 (11.4)0.26
Hormone30 (2.8)030 (2.9)1.00
Genetic4 (0.4)04 (0.4)1.00
Prevalence of DVT According to the Number of Risk Factors
No. of Risk FactorsTotal, n=1071DVT, n=19 (1.8%)
  • NOTE: The percentages in the DVT column represent the proportion of patients with DVT at each level of risk factors. For example, among the patients with 4 risk factors, 5 patients out of 39 (12.8%) had DVT. Abbreviations: DVT, deep vein thrombosis.

01000
13413 (0.9%)
24127 (1.7%)
31693 (1.8%)
4395 (12.8%)
5101 (10.0%)

Results of the logistic regression, similar to those of the nonadjusted analysis, showed that the only risk factors independently associated with the discovery of a DVT upon DUSC were the presence of ambulatory dysfunction (odds ratio [OR]: 2.99, 95% confidence interval [CI]: 1.13‐7.90) and a history of DVT or PE (OR: 10.51, 95% CI: 3.90‐28.31) (Table 4).

Risk Factors Associated With DVT
 ORb95% CIP
  • NOTE: Abbreviations: CI, confidence interval; DVT, deep vein thrombosis; OR, odds ratio; TIA, transient ischemic attack; PE, pulmonary embolism; US, ultrasonography.

  • n=1071.

  • Adjusted OR.

  • 19.9 hours is the median for the variable time to duplex US.

Age 60 years1.760.535.840.353
Active cancer2.120.637.170.227
Ambulatory dysfunction2.991.137.900.027
Obesity0.760.272.210.619
Heart failure1.330.394.490.646
Stroke/TIA3.000.7711.700.113
Acute coronary syndrome1.060.138.660.957
Previous DVT or PE10.513.9028.31<0.0001
Time to duplex US (19.9 hours)c1.940.725.220.188

We estimated a savings for Medicare of approximately $266,000 to $280,000 ($261.07 1071 DUSC or $261.07 1022 [after excluding the patients with 4 or more risk factors]) over 13 months had the DUSC not being conducted.

DISCUSSION

This study shows that discovering an asymptomatic DVT is relatively rare (<2%) in patients arriving at the hospital for all causes of admission, even taking into account multiple risk factors that increase the risk for DVTs. The study strongly supports the practice of placing compression devices as soon as possible for those patients who have a contraindication to anticoagulant prophylaxis. Along with reducing the delay to placement while awaiting the test, there is significant cost reduction to the healthcare system by not doing DUSC. There appears to be no need for diagnostic studies prior to the placement of these devices unless the patient has more than 3 risk factors or there is a history of previous DVT or ambulatory dysfunction. This study strongly supports the premise that patients are not arriving with DVTs, but are developing them in the hospital.[1, 2, 10] The 1.8% prevalence of asymptomatic DVT in this study is somewhat lower than that found in other studies. The Prophylaxis for Thromboembolism in Critical Care Trial (PROTECT) tested dalteparin vs unfractionated heparin on 3764 patients in the intensive care unit. Initial screening done to rule out DVT found that 3.5% of patients receiving dalteparin and 3.4% receiving unfractionated heparin had proximal DVTs.[8] Other Investigators used venous compression ultrasound examinations of the lower limbs to determine that 5.5% of patients hospitalized in a medical unit have an asymptomatic DVT of the lower limbs on admission.[5] A limitation of that study is the inclusion of all thrombo emboli, specifically those found in the calf (19 out of 21, or 90%). However, if one eliminates the calf venous thrombi, not considered risk factors for PE, the prevalence of DVT (0.85%) is about half that of our observed 1.8%.

In common with previous studies, a history of previous thromboembolic disease was clearly the most significant of many evaluated risk factors for DVT.[5, 6, 10] Ambulatory dysfunction was also a statistically significant risk factor that was likely under‐reported here because of the inexact documentation in many of the medical records. Interestingly, a history of active malignancy did not prove to be a significant risk factor, contrary to other study reports.[5, 6, 10]

The frequency of asymptomatic DVT appears to increase with the accumulation of risk factors. An asymptomatic DVT existed in 1.3% of the patients with 3 or fewer risk factors, compared with 12.2% of those with 4 or 5 risk factors. It is possible that a higher number of risk factors for DVT would be an indication for obtaining a DUSC prior to the placement of PCBs, although the small number of patients with more than 3 risk factors in our study population may limit the strength of this observation.

Limitations

As commented above, the number of patients in whom ambulatory dysfunction is present may be higher than is captured, due to insufficient recognition and poor documentation. Other studies have found a wide variety of risk factors associated with admission and the development of DVTs.[2, 5, 6, 10] Our study was not designed to establish an all‐inclusive list and/or prevalence of risk factors for thromboembolic disease. Another limitation is that only those patients who could not receive heparin prophylaxis received the DUSC evaluation. It is unclear if this could introduce bias inadvertently.

CONCLUSION

Our data strongly suggest, in alignment with recent recommendations, that there is no need to perform screening DUSC prior to the placement of prophylactic compression devices among hospital admissions who have contraindications to anticoagulation. Rather, efforts should be focused on implementing systems to ensure rapid placement of these compression devices at the time of admission for those patients who cannot receive anticoagulation prophylaxis. Evaluation for DVT may be of value if there is a history of previous DVT or PE, ambulatory dysfunction, or more than 3 risk factors, as the information may change the therapeutic approach. Current guidelines recommend the measurement of D‐dimers as a screening tool for DVT.[11]

Acknowledgements

The authors thank Michael Schnee and Alexandria Mapp for their assistance in editing and manuscript preparation.

Disclosure: Nothing to report.

Files
References
  1. Hunt BJ. The prevention of hospital‐acquired venous thromboembolism in the United Kingdom. Br J Haematol. 2009;144:642652.
  2. .U.S. Department of Health and Human Services. The Surgeon General's call to action to prevent deep vein thrombosis and pulmonary embolism 2008. Available at: http://www.surgeongeneral.gov/library/calls/deepvein/index.html. Accessed on October 14, 2013.
  3. Yusuf HR, Tsai J, Atrash HK, Boulet S, Grosse SD. Venous thromboembolism in adult hospitalizations—United States, 2007–2009. MMWR Morb Mortal Wkly Rep. 2012;61:401404.
  4. Deitelzweig S, Johnson B, Lin J, et al. Prevalence of clinical venous thromboembolism in the USA: current trends and future projections. Am J Hematol. 2010;86:217220.
  5. Oger E, Bressollette L, Nonent M, et al. High prevalence of asymptomatic deep vein thrombosis on admission in a medical unit among elderly patients. Thromb Haemost. 2002;88:592597.
  6. Guyatt GH, MacLean S, Garcia DA, et al. Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence‐based clinical practice guidelines. Chest. 2012; 141:e7Se47S.
  7. Kahn SR, Lim W, Dunn AS, et al. Prevention of VTE in nonsurgical patients. Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence‐based clinical practice guidelines. Chest. 2012;141:e195Se226S.
  8. Cook D, Meade M, Guyatt G, et al. Dalteparin versus unfractionated heparin in critically ill patients. N Engl J Med. 2011;364:13051314.
  9. American College of Radiology (2012). Five things physicians and patients should question. Available at: http://www.choosingwisely.org/doctor‐patient‐lists/american‐college‐of‐radiology/. Accessed on October 11, 2013.
  10. Kucher N, Spirk D, Baumgartner I, et al. Lack of prophylaxis before the onset of acute venous thromboembolism among hospitalized cancer patients: The SWIss Venous Thrombo Embolism Registry (SWIVTER). Ann Oncol. 2010;21:931935.
  11. Bates SM, Jaeschke R, Stevens SM, et al. Diagnosis of DVT. Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence‐based clinical practice guidelines. Chest. 2012;141:e351Se418S.
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Hospital‐acquired venous thrombus embolism (VTE) is a pressing patient health and safety issue and has been identified as a causal factor in preventable deaths in the hospital setting.[1, 2] More than 540,000 hospitalizations with VTE occur each year among adults in the United States.[3] The number of adults with VTE is anticipated to increase from 0.95 million in 2006 to 1.82 million in 2050.[4] The Institute of Medicine has defined failure to provide adequate thromboprophylaxis to hospitalized, at‐risk patients as a medical error.[2, 5] The American College of Chest Physicians guidelines state that thromboprophylaxis is highly effective at preventing deep vein thrombosis (DVT) and proximal DVT, highly effective at preventing symptomatic VTE and fatal pulmonary emboli (PE), and that the prevention of DVT also prevents PE.[6] Where anticoagulation is contraindicated, mechanical methods of thromboprophylaxis are recommended as preferable to no thromboprophylaxis, with careful attention directed toward ensuring the proper use of, and optimal adherence with, mechanical prophylaxis.[7, 8] In our institution, concerns about the existence of asymptomatic clots being propagated into PEs by the placement of pneumatic compression boots (PCBs), led to routine performance of duplex Doppler ultrasound with compression (DUSC) before applying PCBs to those patients who were admitted and who were deemed to have a contraindication to anticoagulation prophylaxis. The recently released (April 2012) American College of Radiology Choosing Wisely list of practices specifically recommends forgoing imaging for DVT and PE in the absence of risk factors.[9] The recommendations do not specifically address screening for DVT prior to the initiation of prophylaxis. The goal of this prospective observational study, conducted prior to the Choosing Wisely campaign, was to verify our hypothesis that the prevalence of asymptomatic DVTs was very low, and provide our clinicians with evidence to allay concerns about placement of PCBs without imaging, allowing a practice pattern that would reduce costs without impacting patient safety.

METHODS

Study Population

We collected the records of all 1136 consecutive patients who underwent lower extremity DUSC within 48 hours of admission to the hospital, prior to PCB placement, between October 2005 and November 2006. The decision as to what type of prophylaxis was appropriate for each patient and if a DUSC was necessary prior to PCB placement was up to the individual attending physician. The study patient population included elective and emergent admissions from the medical, surgical, and obstetrical services.

Data Source

Study patients were identified at the time of the screening duplex study and entered into the database. A test was considered positive if a clot was detected at the level of the popliteal vein, or higher, in either leg. Patients' charts were reviewed for identification of DVT, defined as a positive (same criteria) DUSC during the hospitalization. Pulmonary emboli were defined as a positive computed tomography angiogram or high‐probability lung scan plus positive risk factors for DVT. A manual chart review (performed by J.U.), thoroughly examining all 1136 inpatient records, was completed to identify diagnoses and risk factors, which are defined as follows:

  • Age >60 years.
  • Cancer at time of admission or within 6 months of admission.
  • Ambulatory dysfunction defined as diagnosis of ambulatory dysfunction stated in the electronic medical record (EMR), bedridden >3 days prior to admission, lower extremity cast or splinting, or major surgery (intra‐abdominal, neurosurgery, cardiac surgery, or orthopedic surgery requiring admission) within 8 weeks of admission.
  • Obesity defined as diagnosis of obesity in EMR or body mass index (BMI) >30.
  • Acute stroke (cerebrovascular accident) or transient ischemic attack.
  • Acute myocardial infarction or acute coronary syndrome.
  • Previous DVT/PE documented in EMR.
  • Genetic predisposition defined as documented as history of, but not limited to, factor V Leiden syndrome, antithrombin III deficiency, protein C deficiency, protein S deficiency, hyperhomocysteinemia, or prothrombin 20210 mutation.
  • Hormone replacement/birth control pills defined as hormone replacement therapy, birth control pills, including Nuva Ring and Ortho Evra, pregnancy, or <6 weeks postpartum.

 

Sociodemographic data (age, gender, race, weight, height, and status of healthcare insurance) and time from arrival at the emergency room to ultrasound (US) examination were extracted from the EMR database.

The study was conducted with the approval of the Christiana Care Health Services institutional review board, and procedures were conducted in accordance with institutional guidelines.

Statistical Analysis

A t test or Wilcoxon rank sum test for continuous variables, and [2] or Fisher exact test for categorical variables, were used to compare demographic and clinical data according to the presence or absence of DVT. Logistic regression was used to determine the relative importance of each risk factor on the risk of DVT. Because the variable time to US was not normally distributed, we transformed it into a categorical variable using the median as the cut point. All the tests were 2‐sided, and P values <0.05 were considered significant. We used Current Procedural Terminology (CPT) code 93970 and the associated 2012 Medicare National Average reimbursement of $261.07 to estimate the cost of DUSC that could be avoided. Data were analyzed using the Statistical Analysis System version 9.2 (SAS Institute, Cary, NC).

RESULTS

A total of 1136 consecutive records were examined; 4 records were excluded from the analysis because they had a diagnosed PE prior to US, and 35 records were excluded because the US was performed beyond 48 hours after admission. The final dataset included 1097 hospital admissions for 1071 patients. Of the 1097 admissions, 759 (69.2%) originated from the emergency department (ED). It is important to note that 70,161 hospital admissions occurred during the same time period, of which 36,363 (51.8%) were admissions that started in the ED. The proportion of patients requiring mechanical DVT prophylaxis is therefore very small (<5%), assuming that a large number of the patients with unplanned admissions would require DVT prophylaxis.

Of the 1071 patients in the final analytical dataset, 544 (50.8%) were male, the mean age was 65.5 years, the mean BMI was 28.7 (median, 27.0) (Table 1), and the majority of the patients were white. US was performed within 24 hours in 712 (66.5%) patients, and 665 (62.1%) had Medicare. An asymptomatic DVT was detected by DUSC in 19 patients (1.8%). None of the clinical and demographic characteristics were statistically different between those with DVT and without (Table 1).

Demographic and Clinical Characteristics According to DVT Discovered at Admission
 Total, n=1071DVT, n=19Non‐DVT, n=1052P
  • NOTE: Abbreviations: BMI, body mass index; DVT, deep vein thrombosis; HMO, health maintenance organization; PE, pulmonary embolism; SD, standard deviation; US, ultrasonography.

Male (%)544 (50.8)6 (31.6)538 (51.1)0.11
Age, y, meanSD65.516.371.415.365.416.30.11
BMI, kg/m2, meanSD28.77.630.112.928.77.50.52
Time to US test from admission, h, median19.921.319.80.72
Race   0.74
White (%)802 (74.9)15 (78.9)787 (74.8) 
Black (%)221 (20.6)3 (15.8)218 (20.7) 
Other (%)48 (4.5)1 (5.3)47 (4.5) 
Duplex US test <24 hours (%)712 (66.5)12 (63.2)700 (66.5)0.81
DVT during admission (%)2 (0.19)02 (0.19)1.0
PE during admission (%)2 (0.19)02 (0.19)1.0
Medical insurance (%)   0.79
Self‐pay35 (3.3)0 (0.0)35 (3.3) 
Medicare665 (62.1)15 (78.9)650 (61.8) 
Medicaid44 (4.1)1 (5.3)43 (4.1) 
HMO49 (4.6)0 (0.0)49 (4.7) 
Blue Cross136 (12.7)2 (10.5)134 (12.7) 
Other142 (13.3)1 (5.3)141 (13.4) 

Patients with DVT had at least 1 risk factor; 16 (84.2%) of them had 2 or more risk factors. In addition, the presence of 2 or more risk factors was much more frequent among those with DVT than among those without (84.2% [16/19] vs 58.4% [614/1052], P=0.03).

As shown in Table 2, a history of DVT or PE and ambulatory dysfunction are the only risk factors associated with DVT at admission. In addition, the prevalence of DVT increases as the number of risk factors increases (Table 3). The prevalence is much higher in those who had 4 or more risk factors than among those with fewer than 4 risk factors (12.2% [6/49] vs 1.3% [13/1022], P=0.0001).

Risk Factors According to DVT Discovered at Admission
 Total, n=1071DVT, n=19Non‐DVT, n=1052P
  • NOTE: Data are presented as number (%). Abbreviations: DVT, deep vein thrombosis; PE, pulmonary embolism; TIA, transient ischemic attack.

Age 60 years702 (65.6)15 (79.0)687 (65.3)0.33
Previous DVT or PE80 (7.5)9 (47.4)71 (6.8)<0.0001
Ambulatory dysfunction228 (21.3)9 (47.4)219 (20.8)0.01
Obesity372 (34.7)6 (31.6)366 (34.8)1.00
Heart failure164 (15.3)4 (21.1)160 (15.2)0.52
Stroke/TIA75 (7.0)3 (15.8)72 (6.8)0.14
Acute coronary syndrome99 (9.2)1 (5.3)98 (9.3)1.00
Active cancer124 (11.6)4 (21.1)120 (11.4)0.26
Hormone30 (2.8)030 (2.9)1.00
Genetic4 (0.4)04 (0.4)1.00
Prevalence of DVT According to the Number of Risk Factors
No. of Risk FactorsTotal, n=1071DVT, n=19 (1.8%)
  • NOTE: The percentages in the DVT column represent the proportion of patients with DVT at each level of risk factors. For example, among the patients with 4 risk factors, 5 patients out of 39 (12.8%) had DVT. Abbreviations: DVT, deep vein thrombosis.

01000
13413 (0.9%)
24127 (1.7%)
31693 (1.8%)
4395 (12.8%)
5101 (10.0%)

Results of the logistic regression, similar to those of the nonadjusted analysis, showed that the only risk factors independently associated with the discovery of a DVT upon DUSC were the presence of ambulatory dysfunction (odds ratio [OR]: 2.99, 95% confidence interval [CI]: 1.13‐7.90) and a history of DVT or PE (OR: 10.51, 95% CI: 3.90‐28.31) (Table 4).

Risk Factors Associated With DVT
 ORb95% CIP
  • NOTE: Abbreviations: CI, confidence interval; DVT, deep vein thrombosis; OR, odds ratio; TIA, transient ischemic attack; PE, pulmonary embolism; US, ultrasonography.

  • n=1071.

  • Adjusted OR.

  • 19.9 hours is the median for the variable time to duplex US.

Age 60 years1.760.535.840.353
Active cancer2.120.637.170.227
Ambulatory dysfunction2.991.137.900.027
Obesity0.760.272.210.619
Heart failure1.330.394.490.646
Stroke/TIA3.000.7711.700.113
Acute coronary syndrome1.060.138.660.957
Previous DVT or PE10.513.9028.31<0.0001
Time to duplex US (19.9 hours)c1.940.725.220.188

We estimated a savings for Medicare of approximately $266,000 to $280,000 ($261.07 1071 DUSC or $261.07 1022 [after excluding the patients with 4 or more risk factors]) over 13 months had the DUSC not being conducted.

DISCUSSION

This study shows that discovering an asymptomatic DVT is relatively rare (<2%) in patients arriving at the hospital for all causes of admission, even taking into account multiple risk factors that increase the risk for DVTs. The study strongly supports the practice of placing compression devices as soon as possible for those patients who have a contraindication to anticoagulant prophylaxis. Along with reducing the delay to placement while awaiting the test, there is significant cost reduction to the healthcare system by not doing DUSC. There appears to be no need for diagnostic studies prior to the placement of these devices unless the patient has more than 3 risk factors or there is a history of previous DVT or ambulatory dysfunction. This study strongly supports the premise that patients are not arriving with DVTs, but are developing them in the hospital.[1, 2, 10] The 1.8% prevalence of asymptomatic DVT in this study is somewhat lower than that found in other studies. The Prophylaxis for Thromboembolism in Critical Care Trial (PROTECT) tested dalteparin vs unfractionated heparin on 3764 patients in the intensive care unit. Initial screening done to rule out DVT found that 3.5% of patients receiving dalteparin and 3.4% receiving unfractionated heparin had proximal DVTs.[8] Other Investigators used venous compression ultrasound examinations of the lower limbs to determine that 5.5% of patients hospitalized in a medical unit have an asymptomatic DVT of the lower limbs on admission.[5] A limitation of that study is the inclusion of all thrombo emboli, specifically those found in the calf (19 out of 21, or 90%). However, if one eliminates the calf venous thrombi, not considered risk factors for PE, the prevalence of DVT (0.85%) is about half that of our observed 1.8%.

In common with previous studies, a history of previous thromboembolic disease was clearly the most significant of many evaluated risk factors for DVT.[5, 6, 10] Ambulatory dysfunction was also a statistically significant risk factor that was likely under‐reported here because of the inexact documentation in many of the medical records. Interestingly, a history of active malignancy did not prove to be a significant risk factor, contrary to other study reports.[5, 6, 10]

The frequency of asymptomatic DVT appears to increase with the accumulation of risk factors. An asymptomatic DVT existed in 1.3% of the patients with 3 or fewer risk factors, compared with 12.2% of those with 4 or 5 risk factors. It is possible that a higher number of risk factors for DVT would be an indication for obtaining a DUSC prior to the placement of PCBs, although the small number of patients with more than 3 risk factors in our study population may limit the strength of this observation.

Limitations

As commented above, the number of patients in whom ambulatory dysfunction is present may be higher than is captured, due to insufficient recognition and poor documentation. Other studies have found a wide variety of risk factors associated with admission and the development of DVTs.[2, 5, 6, 10] Our study was not designed to establish an all‐inclusive list and/or prevalence of risk factors for thromboembolic disease. Another limitation is that only those patients who could not receive heparin prophylaxis received the DUSC evaluation. It is unclear if this could introduce bias inadvertently.

CONCLUSION

Our data strongly suggest, in alignment with recent recommendations, that there is no need to perform screening DUSC prior to the placement of prophylactic compression devices among hospital admissions who have contraindications to anticoagulation. Rather, efforts should be focused on implementing systems to ensure rapid placement of these compression devices at the time of admission for those patients who cannot receive anticoagulation prophylaxis. Evaluation for DVT may be of value if there is a history of previous DVT or PE, ambulatory dysfunction, or more than 3 risk factors, as the information may change the therapeutic approach. Current guidelines recommend the measurement of D‐dimers as a screening tool for DVT.[11]

Acknowledgements

The authors thank Michael Schnee and Alexandria Mapp for their assistance in editing and manuscript preparation.

Disclosure: Nothing to report.

Hospital‐acquired venous thrombus embolism (VTE) is a pressing patient health and safety issue and has been identified as a causal factor in preventable deaths in the hospital setting.[1, 2] More than 540,000 hospitalizations with VTE occur each year among adults in the United States.[3] The number of adults with VTE is anticipated to increase from 0.95 million in 2006 to 1.82 million in 2050.[4] The Institute of Medicine has defined failure to provide adequate thromboprophylaxis to hospitalized, at‐risk patients as a medical error.[2, 5] The American College of Chest Physicians guidelines state that thromboprophylaxis is highly effective at preventing deep vein thrombosis (DVT) and proximal DVT, highly effective at preventing symptomatic VTE and fatal pulmonary emboli (PE), and that the prevention of DVT also prevents PE.[6] Where anticoagulation is contraindicated, mechanical methods of thromboprophylaxis are recommended as preferable to no thromboprophylaxis, with careful attention directed toward ensuring the proper use of, and optimal adherence with, mechanical prophylaxis.[7, 8] In our institution, concerns about the existence of asymptomatic clots being propagated into PEs by the placement of pneumatic compression boots (PCBs), led to routine performance of duplex Doppler ultrasound with compression (DUSC) before applying PCBs to those patients who were admitted and who were deemed to have a contraindication to anticoagulation prophylaxis. The recently released (April 2012) American College of Radiology Choosing Wisely list of practices specifically recommends forgoing imaging for DVT and PE in the absence of risk factors.[9] The recommendations do not specifically address screening for DVT prior to the initiation of prophylaxis. The goal of this prospective observational study, conducted prior to the Choosing Wisely campaign, was to verify our hypothesis that the prevalence of asymptomatic DVTs was very low, and provide our clinicians with evidence to allay concerns about placement of PCBs without imaging, allowing a practice pattern that would reduce costs without impacting patient safety.

METHODS

Study Population

We collected the records of all 1136 consecutive patients who underwent lower extremity DUSC within 48 hours of admission to the hospital, prior to PCB placement, between October 2005 and November 2006. The decision as to what type of prophylaxis was appropriate for each patient and if a DUSC was necessary prior to PCB placement was up to the individual attending physician. The study patient population included elective and emergent admissions from the medical, surgical, and obstetrical services.

Data Source

Study patients were identified at the time of the screening duplex study and entered into the database. A test was considered positive if a clot was detected at the level of the popliteal vein, or higher, in either leg. Patients' charts were reviewed for identification of DVT, defined as a positive (same criteria) DUSC during the hospitalization. Pulmonary emboli were defined as a positive computed tomography angiogram or high‐probability lung scan plus positive risk factors for DVT. A manual chart review (performed by J.U.), thoroughly examining all 1136 inpatient records, was completed to identify diagnoses and risk factors, which are defined as follows:

  • Age >60 years.
  • Cancer at time of admission or within 6 months of admission.
  • Ambulatory dysfunction defined as diagnosis of ambulatory dysfunction stated in the electronic medical record (EMR), bedridden >3 days prior to admission, lower extremity cast or splinting, or major surgery (intra‐abdominal, neurosurgery, cardiac surgery, or orthopedic surgery requiring admission) within 8 weeks of admission.
  • Obesity defined as diagnosis of obesity in EMR or body mass index (BMI) >30.
  • Acute stroke (cerebrovascular accident) or transient ischemic attack.
  • Acute myocardial infarction or acute coronary syndrome.
  • Previous DVT/PE documented in EMR.
  • Genetic predisposition defined as documented as history of, but not limited to, factor V Leiden syndrome, antithrombin III deficiency, protein C deficiency, protein S deficiency, hyperhomocysteinemia, or prothrombin 20210 mutation.
  • Hormone replacement/birth control pills defined as hormone replacement therapy, birth control pills, including Nuva Ring and Ortho Evra, pregnancy, or <6 weeks postpartum.

 

Sociodemographic data (age, gender, race, weight, height, and status of healthcare insurance) and time from arrival at the emergency room to ultrasound (US) examination were extracted from the EMR database.

The study was conducted with the approval of the Christiana Care Health Services institutional review board, and procedures were conducted in accordance with institutional guidelines.

Statistical Analysis

A t test or Wilcoxon rank sum test for continuous variables, and [2] or Fisher exact test for categorical variables, were used to compare demographic and clinical data according to the presence or absence of DVT. Logistic regression was used to determine the relative importance of each risk factor on the risk of DVT. Because the variable time to US was not normally distributed, we transformed it into a categorical variable using the median as the cut point. All the tests were 2‐sided, and P values <0.05 were considered significant. We used Current Procedural Terminology (CPT) code 93970 and the associated 2012 Medicare National Average reimbursement of $261.07 to estimate the cost of DUSC that could be avoided. Data were analyzed using the Statistical Analysis System version 9.2 (SAS Institute, Cary, NC).

RESULTS

A total of 1136 consecutive records were examined; 4 records were excluded from the analysis because they had a diagnosed PE prior to US, and 35 records were excluded because the US was performed beyond 48 hours after admission. The final dataset included 1097 hospital admissions for 1071 patients. Of the 1097 admissions, 759 (69.2%) originated from the emergency department (ED). It is important to note that 70,161 hospital admissions occurred during the same time period, of which 36,363 (51.8%) were admissions that started in the ED. The proportion of patients requiring mechanical DVT prophylaxis is therefore very small (<5%), assuming that a large number of the patients with unplanned admissions would require DVT prophylaxis.

Of the 1071 patients in the final analytical dataset, 544 (50.8%) were male, the mean age was 65.5 years, the mean BMI was 28.7 (median, 27.0) (Table 1), and the majority of the patients were white. US was performed within 24 hours in 712 (66.5%) patients, and 665 (62.1%) had Medicare. An asymptomatic DVT was detected by DUSC in 19 patients (1.8%). None of the clinical and demographic characteristics were statistically different between those with DVT and without (Table 1).

Demographic and Clinical Characteristics According to DVT Discovered at Admission
 Total, n=1071DVT, n=19Non‐DVT, n=1052P
  • NOTE: Abbreviations: BMI, body mass index; DVT, deep vein thrombosis; HMO, health maintenance organization; PE, pulmonary embolism; SD, standard deviation; US, ultrasonography.

Male (%)544 (50.8)6 (31.6)538 (51.1)0.11
Age, y, meanSD65.516.371.415.365.416.30.11
BMI, kg/m2, meanSD28.77.630.112.928.77.50.52
Time to US test from admission, h, median19.921.319.80.72
Race   0.74
White (%)802 (74.9)15 (78.9)787 (74.8) 
Black (%)221 (20.6)3 (15.8)218 (20.7) 
Other (%)48 (4.5)1 (5.3)47 (4.5) 
Duplex US test <24 hours (%)712 (66.5)12 (63.2)700 (66.5)0.81
DVT during admission (%)2 (0.19)02 (0.19)1.0
PE during admission (%)2 (0.19)02 (0.19)1.0
Medical insurance (%)   0.79
Self‐pay35 (3.3)0 (0.0)35 (3.3) 
Medicare665 (62.1)15 (78.9)650 (61.8) 
Medicaid44 (4.1)1 (5.3)43 (4.1) 
HMO49 (4.6)0 (0.0)49 (4.7) 
Blue Cross136 (12.7)2 (10.5)134 (12.7) 
Other142 (13.3)1 (5.3)141 (13.4) 

Patients with DVT had at least 1 risk factor; 16 (84.2%) of them had 2 or more risk factors. In addition, the presence of 2 or more risk factors was much more frequent among those with DVT than among those without (84.2% [16/19] vs 58.4% [614/1052], P=0.03).

As shown in Table 2, a history of DVT or PE and ambulatory dysfunction are the only risk factors associated with DVT at admission. In addition, the prevalence of DVT increases as the number of risk factors increases (Table 3). The prevalence is much higher in those who had 4 or more risk factors than among those with fewer than 4 risk factors (12.2% [6/49] vs 1.3% [13/1022], P=0.0001).

Risk Factors According to DVT Discovered at Admission
 Total, n=1071DVT, n=19Non‐DVT, n=1052P
  • NOTE: Data are presented as number (%). Abbreviations: DVT, deep vein thrombosis; PE, pulmonary embolism; TIA, transient ischemic attack.

Age 60 years702 (65.6)15 (79.0)687 (65.3)0.33
Previous DVT or PE80 (7.5)9 (47.4)71 (6.8)<0.0001
Ambulatory dysfunction228 (21.3)9 (47.4)219 (20.8)0.01
Obesity372 (34.7)6 (31.6)366 (34.8)1.00
Heart failure164 (15.3)4 (21.1)160 (15.2)0.52
Stroke/TIA75 (7.0)3 (15.8)72 (6.8)0.14
Acute coronary syndrome99 (9.2)1 (5.3)98 (9.3)1.00
Active cancer124 (11.6)4 (21.1)120 (11.4)0.26
Hormone30 (2.8)030 (2.9)1.00
Genetic4 (0.4)04 (0.4)1.00
Prevalence of DVT According to the Number of Risk Factors
No. of Risk FactorsTotal, n=1071DVT, n=19 (1.8%)
  • NOTE: The percentages in the DVT column represent the proportion of patients with DVT at each level of risk factors. For example, among the patients with 4 risk factors, 5 patients out of 39 (12.8%) had DVT. Abbreviations: DVT, deep vein thrombosis.

01000
13413 (0.9%)
24127 (1.7%)
31693 (1.8%)
4395 (12.8%)
5101 (10.0%)

Results of the logistic regression, similar to those of the nonadjusted analysis, showed that the only risk factors independently associated with the discovery of a DVT upon DUSC were the presence of ambulatory dysfunction (odds ratio [OR]: 2.99, 95% confidence interval [CI]: 1.13‐7.90) and a history of DVT or PE (OR: 10.51, 95% CI: 3.90‐28.31) (Table 4).

Risk Factors Associated With DVT
 ORb95% CIP
  • NOTE: Abbreviations: CI, confidence interval; DVT, deep vein thrombosis; OR, odds ratio; TIA, transient ischemic attack; PE, pulmonary embolism; US, ultrasonography.

  • n=1071.

  • Adjusted OR.

  • 19.9 hours is the median for the variable time to duplex US.

Age 60 years1.760.535.840.353
Active cancer2.120.637.170.227
Ambulatory dysfunction2.991.137.900.027
Obesity0.760.272.210.619
Heart failure1.330.394.490.646
Stroke/TIA3.000.7711.700.113
Acute coronary syndrome1.060.138.660.957
Previous DVT or PE10.513.9028.31<0.0001
Time to duplex US (19.9 hours)c1.940.725.220.188

We estimated a savings for Medicare of approximately $266,000 to $280,000 ($261.07 1071 DUSC or $261.07 1022 [after excluding the patients with 4 or more risk factors]) over 13 months had the DUSC not being conducted.

DISCUSSION

This study shows that discovering an asymptomatic DVT is relatively rare (<2%) in patients arriving at the hospital for all causes of admission, even taking into account multiple risk factors that increase the risk for DVTs. The study strongly supports the practice of placing compression devices as soon as possible for those patients who have a contraindication to anticoagulant prophylaxis. Along with reducing the delay to placement while awaiting the test, there is significant cost reduction to the healthcare system by not doing DUSC. There appears to be no need for diagnostic studies prior to the placement of these devices unless the patient has more than 3 risk factors or there is a history of previous DVT or ambulatory dysfunction. This study strongly supports the premise that patients are not arriving with DVTs, but are developing them in the hospital.[1, 2, 10] The 1.8% prevalence of asymptomatic DVT in this study is somewhat lower than that found in other studies. The Prophylaxis for Thromboembolism in Critical Care Trial (PROTECT) tested dalteparin vs unfractionated heparin on 3764 patients in the intensive care unit. Initial screening done to rule out DVT found that 3.5% of patients receiving dalteparin and 3.4% receiving unfractionated heparin had proximal DVTs.[8] Other Investigators used venous compression ultrasound examinations of the lower limbs to determine that 5.5% of patients hospitalized in a medical unit have an asymptomatic DVT of the lower limbs on admission.[5] A limitation of that study is the inclusion of all thrombo emboli, specifically those found in the calf (19 out of 21, or 90%). However, if one eliminates the calf venous thrombi, not considered risk factors for PE, the prevalence of DVT (0.85%) is about half that of our observed 1.8%.

In common with previous studies, a history of previous thromboembolic disease was clearly the most significant of many evaluated risk factors for DVT.[5, 6, 10] Ambulatory dysfunction was also a statistically significant risk factor that was likely under‐reported here because of the inexact documentation in many of the medical records. Interestingly, a history of active malignancy did not prove to be a significant risk factor, contrary to other study reports.[5, 6, 10]

The frequency of asymptomatic DVT appears to increase with the accumulation of risk factors. An asymptomatic DVT existed in 1.3% of the patients with 3 or fewer risk factors, compared with 12.2% of those with 4 or 5 risk factors. It is possible that a higher number of risk factors for DVT would be an indication for obtaining a DUSC prior to the placement of PCBs, although the small number of patients with more than 3 risk factors in our study population may limit the strength of this observation.

Limitations

As commented above, the number of patients in whom ambulatory dysfunction is present may be higher than is captured, due to insufficient recognition and poor documentation. Other studies have found a wide variety of risk factors associated with admission and the development of DVTs.[2, 5, 6, 10] Our study was not designed to establish an all‐inclusive list and/or prevalence of risk factors for thromboembolic disease. Another limitation is that only those patients who could not receive heparin prophylaxis received the DUSC evaluation. It is unclear if this could introduce bias inadvertently.

CONCLUSION

Our data strongly suggest, in alignment with recent recommendations, that there is no need to perform screening DUSC prior to the placement of prophylactic compression devices among hospital admissions who have contraindications to anticoagulation. Rather, efforts should be focused on implementing systems to ensure rapid placement of these compression devices at the time of admission for those patients who cannot receive anticoagulation prophylaxis. Evaluation for DVT may be of value if there is a history of previous DVT or PE, ambulatory dysfunction, or more than 3 risk factors, as the information may change the therapeutic approach. Current guidelines recommend the measurement of D‐dimers as a screening tool for DVT.[11]

Acknowledgements

The authors thank Michael Schnee and Alexandria Mapp for their assistance in editing and manuscript preparation.

Disclosure: Nothing to report.

References
  1. Hunt BJ. The prevention of hospital‐acquired venous thromboembolism in the United Kingdom. Br J Haematol. 2009;144:642652.
  2. .U.S. Department of Health and Human Services. The Surgeon General's call to action to prevent deep vein thrombosis and pulmonary embolism 2008. Available at: http://www.surgeongeneral.gov/library/calls/deepvein/index.html. Accessed on October 14, 2013.
  3. Yusuf HR, Tsai J, Atrash HK, Boulet S, Grosse SD. Venous thromboembolism in adult hospitalizations—United States, 2007–2009. MMWR Morb Mortal Wkly Rep. 2012;61:401404.
  4. Deitelzweig S, Johnson B, Lin J, et al. Prevalence of clinical venous thromboembolism in the USA: current trends and future projections. Am J Hematol. 2010;86:217220.
  5. Oger E, Bressollette L, Nonent M, et al. High prevalence of asymptomatic deep vein thrombosis on admission in a medical unit among elderly patients. Thromb Haemost. 2002;88:592597.
  6. Guyatt GH, MacLean S, Garcia DA, et al. Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence‐based clinical practice guidelines. Chest. 2012; 141:e7Se47S.
  7. Kahn SR, Lim W, Dunn AS, et al. Prevention of VTE in nonsurgical patients. Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence‐based clinical practice guidelines. Chest. 2012;141:e195Se226S.
  8. Cook D, Meade M, Guyatt G, et al. Dalteparin versus unfractionated heparin in critically ill patients. N Engl J Med. 2011;364:13051314.
  9. American College of Radiology (2012). Five things physicians and patients should question. Available at: http://www.choosingwisely.org/doctor‐patient‐lists/american‐college‐of‐radiology/. Accessed on October 11, 2013.
  10. Kucher N, Spirk D, Baumgartner I, et al. Lack of prophylaxis before the onset of acute venous thromboembolism among hospitalized cancer patients: The SWIss Venous Thrombo Embolism Registry (SWIVTER). Ann Oncol. 2010;21:931935.
  11. Bates SM, Jaeschke R, Stevens SM, et al. Diagnosis of DVT. Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence‐based clinical practice guidelines. Chest. 2012;141:e351Se418S.
References
  1. Hunt BJ. The prevention of hospital‐acquired venous thromboembolism in the United Kingdom. Br J Haematol. 2009;144:642652.
  2. .U.S. Department of Health and Human Services. The Surgeon General's call to action to prevent deep vein thrombosis and pulmonary embolism 2008. Available at: http://www.surgeongeneral.gov/library/calls/deepvein/index.html. Accessed on October 14, 2013.
  3. Yusuf HR, Tsai J, Atrash HK, Boulet S, Grosse SD. Venous thromboembolism in adult hospitalizations—United States, 2007–2009. MMWR Morb Mortal Wkly Rep. 2012;61:401404.
  4. Deitelzweig S, Johnson B, Lin J, et al. Prevalence of clinical venous thromboembolism in the USA: current trends and future projections. Am J Hematol. 2010;86:217220.
  5. Oger E, Bressollette L, Nonent M, et al. High prevalence of asymptomatic deep vein thrombosis on admission in a medical unit among elderly patients. Thromb Haemost. 2002;88:592597.
  6. Guyatt GH, MacLean S, Garcia DA, et al. Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence‐based clinical practice guidelines. Chest. 2012; 141:e7Se47S.
  7. Kahn SR, Lim W, Dunn AS, et al. Prevention of VTE in nonsurgical patients. Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence‐based clinical practice guidelines. Chest. 2012;141:e195Se226S.
  8. Cook D, Meade M, Guyatt G, et al. Dalteparin versus unfractionated heparin in critically ill patients. N Engl J Med. 2011;364:13051314.
  9. American College of Radiology (2012). Five things physicians and patients should question. Available at: http://www.choosingwisely.org/doctor‐patient‐lists/american‐college‐of‐radiology/. Accessed on October 11, 2013.
  10. Kucher N, Spirk D, Baumgartner I, et al. Lack of prophylaxis before the onset of acute venous thromboembolism among hospitalized cancer patients: The SWIss Venous Thrombo Embolism Registry (SWIVTER). Ann Oncol. 2010;21:931935.
  11. Bates SM, Jaeschke R, Stevens SM, et al. Diagnosis of DVT. Antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians evidence‐based clinical practice guidelines. Chest. 2012;141:e351Se418S.
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Asymptomatic deep vein thrombosis in patients undergoing screening duplex ultrasonography
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Address for correspondence and reprint requests: Marc T. Zubrow, MD, Associate Professor of Medicine, University of Maryland School of Medicine, Suite 5‐N‐162, Baltimore, MD 21201; Telephone: 410‐328‐4833; Fax: 410‐328‐3904; E‐mail: [email protected]
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FDR and Telemetry Rhythm at Time of IHCA

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Correlations between first documented cardiac rhythms and preceding telemetry in patients with code blue events

In‐hospital cardiac arrest (IHCA) research often relies on the first documented cardiac rhythm (FDR) on resuscitation records at the time of cardiopulmonary resuscitation (CPR) initiation as a surrogate for arrest etiology.[1] Over 1000 hospitals report the FDR and associated cardiac arrest data to national registries annually.[2, 3] These data are subsequently used to report national IHCA epidemiology, as well as to develop and refine guidelines for in‐hospital resuscitation.[4]

Suspecting that the FDR might represent the later stage of a progressive cardiopulmonary process rather than a sudden dysrhythmia, we sought to compare the first rhythm documented on resuscitation records at the time of CPR initiation with the telemetry rhythm at the time of the code blue call. We hypothesized that the agreement between FDR and telemetry rhythm would be <80% beyond that predicted by chance (kappa<0.8).[5]

METHODS

Design

Between June 2008 and February 2010, we performed a cross‐sectional study at a 750‐bed adult tertiary care hospital (Christiana Hospital) and a 240‐bed adult inner city community hospital (Wilmington Hospital). Both hospitals included teaching and nonteaching inpatient services. The Christiana Care Health System Institutional Review Board approved the study.

Study Population

Eligible subjects included a convenience sample of adult inpatients aged 18 years who were monitored on the hospital's telemetry system during the 2 minutes prior to a code blue call from a nonintensive care, noncardiac care inpatient ward for IHCA. Intensive care unit (ICU) locations were excluded because they are not captured in our central telemetry recording system. We defined IHCA as a resuscitation event requiring >1 minute of chest compressions and/or defibrillation. We excluded patients with do not attempt resuscitation orders at the time of the IHCA. For patients with multiple IHCAs, only their first event was included in the analysis. International Classification of Diseases, 9th Revision admission diagnoses were categorized into infectious, oncology, endocrine/metabolic; cardiovascular, renal, or other disease categories. The decision to place patients on telemetry monitoring was not part of the study and was entirely at the discretion of the physicians caring for the patients.

Variables and Measurements

We reviewed the paper resuscitation records of each IHCA during the study period and identified the FDR. To create groups that would allow comparison between telemetry and resuscitation record rhythms, we placed each rhythm into 1 of the following 3 categories: asystole, ventricular tachyarrhythmia (VTA), or other organized rhythms (Table 1). It was not possible to retrospectively ascertain the presence of pulses to determine if an organized rhythm identified on telemetry tracings was pulseless electrical activity (PEA) or a perfusing rhythm. Therefore, we elected to take a conservative approach that would bias toward agreement (the opposite direction of our hypothesis that the rhythms are discrepant) and consider all other organized rhythms in agreement with one another. We reviewed printouts of telemetry electrocardiographic records for each patient. Minute 0 was defined as the time of the code blue call. Two physician investigators (C.C. and U.B.) independently reviewed telemetry data for each patient at minute 0 and the 2 minutes preceding the code blue call (minutes 1 and 2). Rhythms at each minute mark were assigned to 1 of the following categories according to the classification scheme in Table 1: asystole, VTA, or other organized rhythms. Leads off and uninterpretable telemetry were also noted. Discrepancies in rhythm categorization between reviewers were resolved by a third investigator (M.Z.) blinded to rhythm category assignment. We used the telemetry rhythm at minute 0 for analysis whenever possible. If the leads were off or the telemetry was uninterpretable at minute 0, we used minute 1. If minute 1 was also unusable, we used minute 2. If there were no usable data at minutes 0, 1, or 2, we excluded the patient.

Resuscitation Record Rhythm Categorization Scheme
Category Rhythm
Asystole Asystole
Ventricular tachyarrhythmia Ventricular fibrillation, ventricular tachycardia
Other organized rhythms Atrial fibrillation, bradycardia, paced pulseless electrical activity, sinus, idioventricular, other

Statistical Analysis

We determined the percent agreement between the resuscitation record rhythm category and the last interpretable telemetry rhythm category. We then calculated an unweighted kappa for the agreement between the resuscitation record rhythm category and the last interpretable telemetry rhythm category.

RESULTS

During the study period, there were 135 code blue calls for urgent assistance among telemetry‐monitored non‐ICU patients. Of the 135 calls, we excluded 4 events (3%) that did not meet the definition of IHCA, 9 events (7%) with missing or uninterpretable data, and 53 events (39%) with unobtainable data due to automatic purging from the telemetry server. Therefore, 69 events in 69 different patients remained for analysis. Twelve of the 69 included arrests that occurred at Wilmington Hospital and 57 at Christiana Hospital. The characteristics of the patients are shown in Table 2.

Patient Characteristics
n %
Age, y
3039 1 1.4
4049 4 5.8
5059 11 15.9
6069 15 21.7
7079 16 23.2
8089 18 26.1
90+ 4 5.8
Sex
Male 26 37.7
Female 43 62.3
Race/ethnicity
White 51 73.9
Black 17 24.6
Hispanic 1 1.4
Admission body mass index
Underweight (<18.5) 3 4.3
Normal (18.5<25) 15 21.7
Overweight (25<30) 24 24 34.8
Obese (30<35) 17 24.6
Very obese (35) 9 13.0
Unknown 1 1.4
Admission diagnosis category
Infectious 29 42.0
Oncology 4 5.8
Endocrine/metabolic 22 31.9
Cardiovascular 7 10.1
Renal 2 2.8
Other 5 7.2

Of the 69 arrests, we used the telemetry rhythm at minute 0 in 42 patients (61%), minute 1 in 22 patients (32%), and minute 2 in 5 patients (7%). Agreement between telemetry and FDR was 65% (kappa=0.37, 95% confidence interval: 0.17‐0.56) (Table 3). Agreement did not vary significantly by sex, race, hospital, weekday, time of day, or minute used in the analysis. Agreement was not associated with survival to hospital discharge.

Agreement Between Telemetry at Time of Code Call and First Documented Resuscitation Record Rhythm
Telemetry Resuscitation Record
Asystole Ventricular Tachyarrhythmia Other Organized Rhythms Total
  • NOTE: Agreement between telemetry and resuscitation record is shown in bold.

Asystole 3 0 2 5
Ventricular tachyarrhythmia 1 12 8 21
Other organized rhythms 8 5 30 43
Total 12 17 40 69

Of the 69 IHCA events, the FDRs vs telemetry rhythms at the time of IHCA were: asystole 17% vs 7%, VTA 25% vs 31%, and other organized rhythms 58% vs 62%. Among the 12 events with FDR recorded as asystole, telemetry at the time of the code call was asystole in 3 (25%), VTA in 1 (8%), and other organized rhythms in 8 (67%). Among the 17 events with FDR recorded as VTA, telemetry at the time of the code call was VTA in 12 (71%) and other organized rhythms in 5 (29%). Among the 40 events with FDR recorded as other organized rhythms, telemetry at the time of the code call was asystole in 2 (5%), VTA in 8 (20%), and other organized rhythms in 30 (75%). Among the 8 patients with VTA on telemetry and other organized rhythms on the resuscitation record, the other organized rhythms were documented as PEA (n=6), sinus (n=1), and bradycardia (n=1). Of the 12 patients with VTA on telemetry and on the resuscitation record, 8 (67%) had ventricular tachycardia on telemetry. Four of the 8 (50%) who had ventricular tachycardia on telemetry had deteriorated into ventricular fibrillation by the time the FDR was recorded. Of the 4 who had ventricular fibrillation on telemetry, all had ventricular fibrillation as the FDR on the resuscitation record.

DISCUSSION

These results establish that FDRs often differ from the telemetry rhythms at the time of the code blue call. This is important because national registries such as the American Heart Association's Get with the GuidelinesResuscitation[2] database use the FDR as a surrogate for arrest etiology, and use their findings to report national IHCA outcomes as well as to develop and refine evidence‐based guidelines for in‐hospital resuscitation. Our findings suggest that using the FDR may be an oversimplification of the complex progression of cardiac rhythms that occurs in the periarrest period. Adding preceding telemetry rhythms to the data elements collected may shed additional light on etiology. Furthermore, our results demonstrate that, among adults with VTA or asystole documented upon arrival of the code blue team, other organized rhythms are often present at the time the staff recognized a life‐threatening condition and called for immediate assistance. This suggests that the VTA and asystole FDRs may represent the later stages of progressive cardiopulmonary processes. This is in contrast to out‐of‐hospital cardiac arrests typically attributed to sudden catastrophic dysrhythmias that often progress to asystole unless rapidly defibrillated.[6, 7, 8] Out‐of‐hospital and in‐hospital arrests are likely different (but overlapping) entities that might benefit from different resuscitation strategies.[9, 10] We hypothesize that, for a subset of these patients, progressive respiratory insufficiency and circulatory shockconditions classically associated more strongly with pediatric than adult IHCAmay have been directly responsible for the event.[1] If future research supports the concept that progressive respiratory insufficiency and circulatory shock are responsible for more adult IHCA than previously recognized, more robust monitoring may be indicated for a larger subset of adult patients hospitalized on general wards. This could include pulse oximetry (wave form can be a surrogate for perfusion), respiratory rate, and/or end‐tidal CO2 monitoring. In addition, if future research confirms that there is a greater distinction between in‐hospital and out‐of‐hospital cardiac arrest etiology, the expert panels that develop resuscitation guidelines should consider including setting of resuscitation as a branch point in future algorithms.

Our study had several limitations. First, the sample size was small due to uninterpretable rhythm strips, and for 39% of the total code events, the telemetry data had already been purged from the system by the time research staff attempted to retrieve it. Although we do not believe that there was any systematic bias to the data analyzed, the possibility cannot be completely excluded. Second, we were constrained by the inability to retrospectively ascertain the presence of pulses to determine if an organized rhythm identified on telemetry tracings was PEA. Thus, we categorized rhythms into large groups. Although this limited the granularity of the rhythm groups, it was a conservative approach that likely biased toward agreement (the opposite direction of our hypothesis). Third, the lack of perfect time synchronization between the telemetry system, wall clocks in the hospital, and wrist watches that may be referenced when documenting resuscitative efforts on the resuscitation record means that the rhythms we used may have reflected physiology after interventions had already commenced. Thus, in some situations, minute 1, 2, or earlier minutes may more accurately reflect the preintervention rhythm. Highly accurate time synchronization should be a central component of future prospective work in this area.

CONCLUSIONS

The FDR had only fair agreement with the telemetry rhythm at the time of the code blue call. Among those with VTA or asystole documented on CPR initiation, telemetry often revealed other organized rhythms present at the time hospital staff recognized a life‐threatening condition. In contrast to out‐of‐hospital cardiac arrest, FDR of asystole was only rarely preceded by VTA, and FDR of VTA was often preceded by an organized rhythm.[8, 11] Future studies should examine antecedent rhythms in combination with respiratory and perfusion status to more precisely determine arrest etiology.

Acknowledgments

The authors thank the staff at Flex Monitoring at Christiana Care Health System for their vital contributions to the study.

Disclosures

Dr. Zubrow had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The authors report no conflicts of interest.

Files
References
  1. Nadkarni VM, Larkin GL, Peberdy MA, et al. First documented rhythm and clinical outcome from in‐hospital cardiac arrest among children and adults. JAMA. 2006;295(1):5057.
  2. Get With The Guidelines–Resuscitation (GWTG‐R) overview. Available at: http://www.heart.org/HEARTORG/HealthcareResearch/GetWithTheGuidelines‐Resuscitation/Get‐With‐The‐Guidelines‐ResuscitationOverview_UCM_314497_Article.jsp. Accessed May 8, 2012.
  3. Cummins RO, Chamberlain D, Hazinski MF, et al. Recommended guidelines for reviewing, reporting, and conducting research on in‐hospital resuscitation: the in‐hospital “Utstein Style”. Circulation. 1997;95:22132239.
  4. Peberdy MA, Kaye W, Ornato JP, et al. Cardiopulmonary resuscitation of adults in the hospital: a report of 14,720 cardiac arrests from the National Registry of Cardiopulmonary Resuscitation. Resuscitation. 2003;58:297308.
  5. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159174.
  6. Herlitz J, Bang A, Aune S, et al. Characteristics and outcome among patients suffering in‐hospital cardiac arrest in monitored and nonmonitored areas. Resuscitation. 2001;48:125135.
  7. Herlitz J, Bang A, Ekstrom L, et al. A comparison between patients suffering in‐hospital and out‐of hospital cardiac arrest in terms of treatment and outcome. J Intern Med. 2000;248:5360.
  8. Fredriksson M, Aune S, Bang A, et al. Cardiac arrest outside and inside hospital in a community: mechanisms behind the differences in outcomes and outcome in relation to time of arrest. Am Heart J. 2010;159:749756.
  9. Weisfeldt ML, Everson‐Stewart S, Sitlani C, et al.; Resuscitation Outcomes Consortium Investigators. Ventricular tachyarrhythmias after cardiac arrest in public versus at home. N Engl J Med. 2011;364:313321.
  10. Monteleone PP, Lin CM. In‐hospital cardiac arrest. Emerg Med Clin North Am. 2012;30:2534.
  11. Holmgren C, Bergfeldt L, Edvardsson N, et al. Analysis of initial rhythm, witnessed status and delay to treatment among survivors of out‐of‐hospital cardiac arrest in Sweden. Heart. 2010;96:18261830.
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In‐hospital cardiac arrest (IHCA) research often relies on the first documented cardiac rhythm (FDR) on resuscitation records at the time of cardiopulmonary resuscitation (CPR) initiation as a surrogate for arrest etiology.[1] Over 1000 hospitals report the FDR and associated cardiac arrest data to national registries annually.[2, 3] These data are subsequently used to report national IHCA epidemiology, as well as to develop and refine guidelines for in‐hospital resuscitation.[4]

Suspecting that the FDR might represent the later stage of a progressive cardiopulmonary process rather than a sudden dysrhythmia, we sought to compare the first rhythm documented on resuscitation records at the time of CPR initiation with the telemetry rhythm at the time of the code blue call. We hypothesized that the agreement between FDR and telemetry rhythm would be <80% beyond that predicted by chance (kappa<0.8).[5]

METHODS

Design

Between June 2008 and February 2010, we performed a cross‐sectional study at a 750‐bed adult tertiary care hospital (Christiana Hospital) and a 240‐bed adult inner city community hospital (Wilmington Hospital). Both hospitals included teaching and nonteaching inpatient services. The Christiana Care Health System Institutional Review Board approved the study.

Study Population

Eligible subjects included a convenience sample of adult inpatients aged 18 years who were monitored on the hospital's telemetry system during the 2 minutes prior to a code blue call from a nonintensive care, noncardiac care inpatient ward for IHCA. Intensive care unit (ICU) locations were excluded because they are not captured in our central telemetry recording system. We defined IHCA as a resuscitation event requiring >1 minute of chest compressions and/or defibrillation. We excluded patients with do not attempt resuscitation orders at the time of the IHCA. For patients with multiple IHCAs, only their first event was included in the analysis. International Classification of Diseases, 9th Revision admission diagnoses were categorized into infectious, oncology, endocrine/metabolic; cardiovascular, renal, or other disease categories. The decision to place patients on telemetry monitoring was not part of the study and was entirely at the discretion of the physicians caring for the patients.

Variables and Measurements

We reviewed the paper resuscitation records of each IHCA during the study period and identified the FDR. To create groups that would allow comparison between telemetry and resuscitation record rhythms, we placed each rhythm into 1 of the following 3 categories: asystole, ventricular tachyarrhythmia (VTA), or other organized rhythms (Table 1). It was not possible to retrospectively ascertain the presence of pulses to determine if an organized rhythm identified on telemetry tracings was pulseless electrical activity (PEA) or a perfusing rhythm. Therefore, we elected to take a conservative approach that would bias toward agreement (the opposite direction of our hypothesis that the rhythms are discrepant) and consider all other organized rhythms in agreement with one another. We reviewed printouts of telemetry electrocardiographic records for each patient. Minute 0 was defined as the time of the code blue call. Two physician investigators (C.C. and U.B.) independently reviewed telemetry data for each patient at minute 0 and the 2 minutes preceding the code blue call (minutes 1 and 2). Rhythms at each minute mark were assigned to 1 of the following categories according to the classification scheme in Table 1: asystole, VTA, or other organized rhythms. Leads off and uninterpretable telemetry were also noted. Discrepancies in rhythm categorization between reviewers were resolved by a third investigator (M.Z.) blinded to rhythm category assignment. We used the telemetry rhythm at minute 0 for analysis whenever possible. If the leads were off or the telemetry was uninterpretable at minute 0, we used minute 1. If minute 1 was also unusable, we used minute 2. If there were no usable data at minutes 0, 1, or 2, we excluded the patient.

Resuscitation Record Rhythm Categorization Scheme
Category Rhythm
Asystole Asystole
Ventricular tachyarrhythmia Ventricular fibrillation, ventricular tachycardia
Other organized rhythms Atrial fibrillation, bradycardia, paced pulseless electrical activity, sinus, idioventricular, other

Statistical Analysis

We determined the percent agreement between the resuscitation record rhythm category and the last interpretable telemetry rhythm category. We then calculated an unweighted kappa for the agreement between the resuscitation record rhythm category and the last interpretable telemetry rhythm category.

RESULTS

During the study period, there were 135 code blue calls for urgent assistance among telemetry‐monitored non‐ICU patients. Of the 135 calls, we excluded 4 events (3%) that did not meet the definition of IHCA, 9 events (7%) with missing or uninterpretable data, and 53 events (39%) with unobtainable data due to automatic purging from the telemetry server. Therefore, 69 events in 69 different patients remained for analysis. Twelve of the 69 included arrests that occurred at Wilmington Hospital and 57 at Christiana Hospital. The characteristics of the patients are shown in Table 2.

Patient Characteristics
n %
Age, y
3039 1 1.4
4049 4 5.8
5059 11 15.9
6069 15 21.7
7079 16 23.2
8089 18 26.1
90+ 4 5.8
Sex
Male 26 37.7
Female 43 62.3
Race/ethnicity
White 51 73.9
Black 17 24.6
Hispanic 1 1.4
Admission body mass index
Underweight (<18.5) 3 4.3
Normal (18.5<25) 15 21.7
Overweight (25<30) 24 24 34.8
Obese (30<35) 17 24.6
Very obese (35) 9 13.0
Unknown 1 1.4
Admission diagnosis category
Infectious 29 42.0
Oncology 4 5.8
Endocrine/metabolic 22 31.9
Cardiovascular 7 10.1
Renal 2 2.8
Other 5 7.2

Of the 69 arrests, we used the telemetry rhythm at minute 0 in 42 patients (61%), minute 1 in 22 patients (32%), and minute 2 in 5 patients (7%). Agreement between telemetry and FDR was 65% (kappa=0.37, 95% confidence interval: 0.17‐0.56) (Table 3). Agreement did not vary significantly by sex, race, hospital, weekday, time of day, or minute used in the analysis. Agreement was not associated with survival to hospital discharge.

Agreement Between Telemetry at Time of Code Call and First Documented Resuscitation Record Rhythm
Telemetry Resuscitation Record
Asystole Ventricular Tachyarrhythmia Other Organized Rhythms Total
  • NOTE: Agreement between telemetry and resuscitation record is shown in bold.

Asystole 3 0 2 5
Ventricular tachyarrhythmia 1 12 8 21
Other organized rhythms 8 5 30 43
Total 12 17 40 69

Of the 69 IHCA events, the FDRs vs telemetry rhythms at the time of IHCA were: asystole 17% vs 7%, VTA 25% vs 31%, and other organized rhythms 58% vs 62%. Among the 12 events with FDR recorded as asystole, telemetry at the time of the code call was asystole in 3 (25%), VTA in 1 (8%), and other organized rhythms in 8 (67%). Among the 17 events with FDR recorded as VTA, telemetry at the time of the code call was VTA in 12 (71%) and other organized rhythms in 5 (29%). Among the 40 events with FDR recorded as other organized rhythms, telemetry at the time of the code call was asystole in 2 (5%), VTA in 8 (20%), and other organized rhythms in 30 (75%). Among the 8 patients with VTA on telemetry and other organized rhythms on the resuscitation record, the other organized rhythms were documented as PEA (n=6), sinus (n=1), and bradycardia (n=1). Of the 12 patients with VTA on telemetry and on the resuscitation record, 8 (67%) had ventricular tachycardia on telemetry. Four of the 8 (50%) who had ventricular tachycardia on telemetry had deteriorated into ventricular fibrillation by the time the FDR was recorded. Of the 4 who had ventricular fibrillation on telemetry, all had ventricular fibrillation as the FDR on the resuscitation record.

DISCUSSION

These results establish that FDRs often differ from the telemetry rhythms at the time of the code blue call. This is important because national registries such as the American Heart Association's Get with the GuidelinesResuscitation[2] database use the FDR as a surrogate for arrest etiology, and use their findings to report national IHCA outcomes as well as to develop and refine evidence‐based guidelines for in‐hospital resuscitation. Our findings suggest that using the FDR may be an oversimplification of the complex progression of cardiac rhythms that occurs in the periarrest period. Adding preceding telemetry rhythms to the data elements collected may shed additional light on etiology. Furthermore, our results demonstrate that, among adults with VTA or asystole documented upon arrival of the code blue team, other organized rhythms are often present at the time the staff recognized a life‐threatening condition and called for immediate assistance. This suggests that the VTA and asystole FDRs may represent the later stages of progressive cardiopulmonary processes. This is in contrast to out‐of‐hospital cardiac arrests typically attributed to sudden catastrophic dysrhythmias that often progress to asystole unless rapidly defibrillated.[6, 7, 8] Out‐of‐hospital and in‐hospital arrests are likely different (but overlapping) entities that might benefit from different resuscitation strategies.[9, 10] We hypothesize that, for a subset of these patients, progressive respiratory insufficiency and circulatory shockconditions classically associated more strongly with pediatric than adult IHCAmay have been directly responsible for the event.[1] If future research supports the concept that progressive respiratory insufficiency and circulatory shock are responsible for more adult IHCA than previously recognized, more robust monitoring may be indicated for a larger subset of adult patients hospitalized on general wards. This could include pulse oximetry (wave form can be a surrogate for perfusion), respiratory rate, and/or end‐tidal CO2 monitoring. In addition, if future research confirms that there is a greater distinction between in‐hospital and out‐of‐hospital cardiac arrest etiology, the expert panels that develop resuscitation guidelines should consider including setting of resuscitation as a branch point in future algorithms.

Our study had several limitations. First, the sample size was small due to uninterpretable rhythm strips, and for 39% of the total code events, the telemetry data had already been purged from the system by the time research staff attempted to retrieve it. Although we do not believe that there was any systematic bias to the data analyzed, the possibility cannot be completely excluded. Second, we were constrained by the inability to retrospectively ascertain the presence of pulses to determine if an organized rhythm identified on telemetry tracings was PEA. Thus, we categorized rhythms into large groups. Although this limited the granularity of the rhythm groups, it was a conservative approach that likely biased toward agreement (the opposite direction of our hypothesis). Third, the lack of perfect time synchronization between the telemetry system, wall clocks in the hospital, and wrist watches that may be referenced when documenting resuscitative efforts on the resuscitation record means that the rhythms we used may have reflected physiology after interventions had already commenced. Thus, in some situations, minute 1, 2, or earlier minutes may more accurately reflect the preintervention rhythm. Highly accurate time synchronization should be a central component of future prospective work in this area.

CONCLUSIONS

The FDR had only fair agreement with the telemetry rhythm at the time of the code blue call. Among those with VTA or asystole documented on CPR initiation, telemetry often revealed other organized rhythms present at the time hospital staff recognized a life‐threatening condition. In contrast to out‐of‐hospital cardiac arrest, FDR of asystole was only rarely preceded by VTA, and FDR of VTA was often preceded by an organized rhythm.[8, 11] Future studies should examine antecedent rhythms in combination with respiratory and perfusion status to more precisely determine arrest etiology.

Acknowledgments

The authors thank the staff at Flex Monitoring at Christiana Care Health System for their vital contributions to the study.

Disclosures

Dr. Zubrow had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The authors report no conflicts of interest.

In‐hospital cardiac arrest (IHCA) research often relies on the first documented cardiac rhythm (FDR) on resuscitation records at the time of cardiopulmonary resuscitation (CPR) initiation as a surrogate for arrest etiology.[1] Over 1000 hospitals report the FDR and associated cardiac arrest data to national registries annually.[2, 3] These data are subsequently used to report national IHCA epidemiology, as well as to develop and refine guidelines for in‐hospital resuscitation.[4]

Suspecting that the FDR might represent the later stage of a progressive cardiopulmonary process rather than a sudden dysrhythmia, we sought to compare the first rhythm documented on resuscitation records at the time of CPR initiation with the telemetry rhythm at the time of the code blue call. We hypothesized that the agreement between FDR and telemetry rhythm would be <80% beyond that predicted by chance (kappa<0.8).[5]

METHODS

Design

Between June 2008 and February 2010, we performed a cross‐sectional study at a 750‐bed adult tertiary care hospital (Christiana Hospital) and a 240‐bed adult inner city community hospital (Wilmington Hospital). Both hospitals included teaching and nonteaching inpatient services. The Christiana Care Health System Institutional Review Board approved the study.

Study Population

Eligible subjects included a convenience sample of adult inpatients aged 18 years who were monitored on the hospital's telemetry system during the 2 minutes prior to a code blue call from a nonintensive care, noncardiac care inpatient ward for IHCA. Intensive care unit (ICU) locations were excluded because they are not captured in our central telemetry recording system. We defined IHCA as a resuscitation event requiring >1 minute of chest compressions and/or defibrillation. We excluded patients with do not attempt resuscitation orders at the time of the IHCA. For patients with multiple IHCAs, only their first event was included in the analysis. International Classification of Diseases, 9th Revision admission diagnoses were categorized into infectious, oncology, endocrine/metabolic; cardiovascular, renal, or other disease categories. The decision to place patients on telemetry monitoring was not part of the study and was entirely at the discretion of the physicians caring for the patients.

Variables and Measurements

We reviewed the paper resuscitation records of each IHCA during the study period and identified the FDR. To create groups that would allow comparison between telemetry and resuscitation record rhythms, we placed each rhythm into 1 of the following 3 categories: asystole, ventricular tachyarrhythmia (VTA), or other organized rhythms (Table 1). It was not possible to retrospectively ascertain the presence of pulses to determine if an organized rhythm identified on telemetry tracings was pulseless electrical activity (PEA) or a perfusing rhythm. Therefore, we elected to take a conservative approach that would bias toward agreement (the opposite direction of our hypothesis that the rhythms are discrepant) and consider all other organized rhythms in agreement with one another. We reviewed printouts of telemetry electrocardiographic records for each patient. Minute 0 was defined as the time of the code blue call. Two physician investigators (C.C. and U.B.) independently reviewed telemetry data for each patient at minute 0 and the 2 minutes preceding the code blue call (minutes 1 and 2). Rhythms at each minute mark were assigned to 1 of the following categories according to the classification scheme in Table 1: asystole, VTA, or other organized rhythms. Leads off and uninterpretable telemetry were also noted. Discrepancies in rhythm categorization between reviewers were resolved by a third investigator (M.Z.) blinded to rhythm category assignment. We used the telemetry rhythm at minute 0 for analysis whenever possible. If the leads were off or the telemetry was uninterpretable at minute 0, we used minute 1. If minute 1 was also unusable, we used minute 2. If there were no usable data at minutes 0, 1, or 2, we excluded the patient.

Resuscitation Record Rhythm Categorization Scheme
Category Rhythm
Asystole Asystole
Ventricular tachyarrhythmia Ventricular fibrillation, ventricular tachycardia
Other organized rhythms Atrial fibrillation, bradycardia, paced pulseless electrical activity, sinus, idioventricular, other

Statistical Analysis

We determined the percent agreement between the resuscitation record rhythm category and the last interpretable telemetry rhythm category. We then calculated an unweighted kappa for the agreement between the resuscitation record rhythm category and the last interpretable telemetry rhythm category.

RESULTS

During the study period, there were 135 code blue calls for urgent assistance among telemetry‐monitored non‐ICU patients. Of the 135 calls, we excluded 4 events (3%) that did not meet the definition of IHCA, 9 events (7%) with missing or uninterpretable data, and 53 events (39%) with unobtainable data due to automatic purging from the telemetry server. Therefore, 69 events in 69 different patients remained for analysis. Twelve of the 69 included arrests that occurred at Wilmington Hospital and 57 at Christiana Hospital. The characteristics of the patients are shown in Table 2.

Patient Characteristics
n %
Age, y
3039 1 1.4
4049 4 5.8
5059 11 15.9
6069 15 21.7
7079 16 23.2
8089 18 26.1
90+ 4 5.8
Sex
Male 26 37.7
Female 43 62.3
Race/ethnicity
White 51 73.9
Black 17 24.6
Hispanic 1 1.4
Admission body mass index
Underweight (<18.5) 3 4.3
Normal (18.5<25) 15 21.7
Overweight (25<30) 24 24 34.8
Obese (30<35) 17 24.6
Very obese (35) 9 13.0
Unknown 1 1.4
Admission diagnosis category
Infectious 29 42.0
Oncology 4 5.8
Endocrine/metabolic 22 31.9
Cardiovascular 7 10.1
Renal 2 2.8
Other 5 7.2

Of the 69 arrests, we used the telemetry rhythm at minute 0 in 42 patients (61%), minute 1 in 22 patients (32%), and minute 2 in 5 patients (7%). Agreement between telemetry and FDR was 65% (kappa=0.37, 95% confidence interval: 0.17‐0.56) (Table 3). Agreement did not vary significantly by sex, race, hospital, weekday, time of day, or minute used in the analysis. Agreement was not associated with survival to hospital discharge.

Agreement Between Telemetry at Time of Code Call and First Documented Resuscitation Record Rhythm
Telemetry Resuscitation Record
Asystole Ventricular Tachyarrhythmia Other Organized Rhythms Total
  • NOTE: Agreement between telemetry and resuscitation record is shown in bold.

Asystole 3 0 2 5
Ventricular tachyarrhythmia 1 12 8 21
Other organized rhythms 8 5 30 43
Total 12 17 40 69

Of the 69 IHCA events, the FDRs vs telemetry rhythms at the time of IHCA were: asystole 17% vs 7%, VTA 25% vs 31%, and other organized rhythms 58% vs 62%. Among the 12 events with FDR recorded as asystole, telemetry at the time of the code call was asystole in 3 (25%), VTA in 1 (8%), and other organized rhythms in 8 (67%). Among the 17 events with FDR recorded as VTA, telemetry at the time of the code call was VTA in 12 (71%) and other organized rhythms in 5 (29%). Among the 40 events with FDR recorded as other organized rhythms, telemetry at the time of the code call was asystole in 2 (5%), VTA in 8 (20%), and other organized rhythms in 30 (75%). Among the 8 patients with VTA on telemetry and other organized rhythms on the resuscitation record, the other organized rhythms were documented as PEA (n=6), sinus (n=1), and bradycardia (n=1). Of the 12 patients with VTA on telemetry and on the resuscitation record, 8 (67%) had ventricular tachycardia on telemetry. Four of the 8 (50%) who had ventricular tachycardia on telemetry had deteriorated into ventricular fibrillation by the time the FDR was recorded. Of the 4 who had ventricular fibrillation on telemetry, all had ventricular fibrillation as the FDR on the resuscitation record.

DISCUSSION

These results establish that FDRs often differ from the telemetry rhythms at the time of the code blue call. This is important because national registries such as the American Heart Association's Get with the GuidelinesResuscitation[2] database use the FDR as a surrogate for arrest etiology, and use their findings to report national IHCA outcomes as well as to develop and refine evidence‐based guidelines for in‐hospital resuscitation. Our findings suggest that using the FDR may be an oversimplification of the complex progression of cardiac rhythms that occurs in the periarrest period. Adding preceding telemetry rhythms to the data elements collected may shed additional light on etiology. Furthermore, our results demonstrate that, among adults with VTA or asystole documented upon arrival of the code blue team, other organized rhythms are often present at the time the staff recognized a life‐threatening condition and called for immediate assistance. This suggests that the VTA and asystole FDRs may represent the later stages of progressive cardiopulmonary processes. This is in contrast to out‐of‐hospital cardiac arrests typically attributed to sudden catastrophic dysrhythmias that often progress to asystole unless rapidly defibrillated.[6, 7, 8] Out‐of‐hospital and in‐hospital arrests are likely different (but overlapping) entities that might benefit from different resuscitation strategies.[9, 10] We hypothesize that, for a subset of these patients, progressive respiratory insufficiency and circulatory shockconditions classically associated more strongly with pediatric than adult IHCAmay have been directly responsible for the event.[1] If future research supports the concept that progressive respiratory insufficiency and circulatory shock are responsible for more adult IHCA than previously recognized, more robust monitoring may be indicated for a larger subset of adult patients hospitalized on general wards. This could include pulse oximetry (wave form can be a surrogate for perfusion), respiratory rate, and/or end‐tidal CO2 monitoring. In addition, if future research confirms that there is a greater distinction between in‐hospital and out‐of‐hospital cardiac arrest etiology, the expert panels that develop resuscitation guidelines should consider including setting of resuscitation as a branch point in future algorithms.

Our study had several limitations. First, the sample size was small due to uninterpretable rhythm strips, and for 39% of the total code events, the telemetry data had already been purged from the system by the time research staff attempted to retrieve it. Although we do not believe that there was any systematic bias to the data analyzed, the possibility cannot be completely excluded. Second, we were constrained by the inability to retrospectively ascertain the presence of pulses to determine if an organized rhythm identified on telemetry tracings was PEA. Thus, we categorized rhythms into large groups. Although this limited the granularity of the rhythm groups, it was a conservative approach that likely biased toward agreement (the opposite direction of our hypothesis). Third, the lack of perfect time synchronization between the telemetry system, wall clocks in the hospital, and wrist watches that may be referenced when documenting resuscitative efforts on the resuscitation record means that the rhythms we used may have reflected physiology after interventions had already commenced. Thus, in some situations, minute 1, 2, or earlier minutes may more accurately reflect the preintervention rhythm. Highly accurate time synchronization should be a central component of future prospective work in this area.

CONCLUSIONS

The FDR had only fair agreement with the telemetry rhythm at the time of the code blue call. Among those with VTA or asystole documented on CPR initiation, telemetry often revealed other organized rhythms present at the time hospital staff recognized a life‐threatening condition. In contrast to out‐of‐hospital cardiac arrest, FDR of asystole was only rarely preceded by VTA, and FDR of VTA was often preceded by an organized rhythm.[8, 11] Future studies should examine antecedent rhythms in combination with respiratory and perfusion status to more precisely determine arrest etiology.

Acknowledgments

The authors thank the staff at Flex Monitoring at Christiana Care Health System for their vital contributions to the study.

Disclosures

Dr. Zubrow had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The authors report no conflicts of interest.

References
  1. Nadkarni VM, Larkin GL, Peberdy MA, et al. First documented rhythm and clinical outcome from in‐hospital cardiac arrest among children and adults. JAMA. 2006;295(1):5057.
  2. Get With The Guidelines–Resuscitation (GWTG‐R) overview. Available at: http://www.heart.org/HEARTORG/HealthcareResearch/GetWithTheGuidelines‐Resuscitation/Get‐With‐The‐Guidelines‐ResuscitationOverview_UCM_314497_Article.jsp. Accessed May 8, 2012.
  3. Cummins RO, Chamberlain D, Hazinski MF, et al. Recommended guidelines for reviewing, reporting, and conducting research on in‐hospital resuscitation: the in‐hospital “Utstein Style”. Circulation. 1997;95:22132239.
  4. Peberdy MA, Kaye W, Ornato JP, et al. Cardiopulmonary resuscitation of adults in the hospital: a report of 14,720 cardiac arrests from the National Registry of Cardiopulmonary Resuscitation. Resuscitation. 2003;58:297308.
  5. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159174.
  6. Herlitz J, Bang A, Aune S, et al. Characteristics and outcome among patients suffering in‐hospital cardiac arrest in monitored and nonmonitored areas. Resuscitation. 2001;48:125135.
  7. Herlitz J, Bang A, Ekstrom L, et al. A comparison between patients suffering in‐hospital and out‐of hospital cardiac arrest in terms of treatment and outcome. J Intern Med. 2000;248:5360.
  8. Fredriksson M, Aune S, Bang A, et al. Cardiac arrest outside and inside hospital in a community: mechanisms behind the differences in outcomes and outcome in relation to time of arrest. Am Heart J. 2010;159:749756.
  9. Weisfeldt ML, Everson‐Stewart S, Sitlani C, et al.; Resuscitation Outcomes Consortium Investigators. Ventricular tachyarrhythmias after cardiac arrest in public versus at home. N Engl J Med. 2011;364:313321.
  10. Monteleone PP, Lin CM. In‐hospital cardiac arrest. Emerg Med Clin North Am. 2012;30:2534.
  11. Holmgren C, Bergfeldt L, Edvardsson N, et al. Analysis of initial rhythm, witnessed status and delay to treatment among survivors of out‐of‐hospital cardiac arrest in Sweden. Heart. 2010;96:18261830.
References
  1. Nadkarni VM, Larkin GL, Peberdy MA, et al. First documented rhythm and clinical outcome from in‐hospital cardiac arrest among children and adults. JAMA. 2006;295(1):5057.
  2. Get With The Guidelines–Resuscitation (GWTG‐R) overview. Available at: http://www.heart.org/HEARTORG/HealthcareResearch/GetWithTheGuidelines‐Resuscitation/Get‐With‐The‐Guidelines‐ResuscitationOverview_UCM_314497_Article.jsp. Accessed May 8, 2012.
  3. Cummins RO, Chamberlain D, Hazinski MF, et al. Recommended guidelines for reviewing, reporting, and conducting research on in‐hospital resuscitation: the in‐hospital “Utstein Style”. Circulation. 1997;95:22132239.
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Issue
Journal of Hospital Medicine - 8(4)
Issue
Journal of Hospital Medicine - 8(4)
Page Number
225-228
Page Number
225-228
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Correlations between first documented cardiac rhythms and preceding telemetry in patients with code blue events
Display Headline
Correlations between first documented cardiac rhythms and preceding telemetry in patients with code blue events
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Address for correspondence and reprint requests: Christian Coletti, MD, Doctors for Emergency Service and Internal Medicine Clinic, Christiana Care Health System, 4755 Ogletown‐Stanton RD, Newark, DE 19718; Telephone: 302‐733‐1840; Fax: 302‐733‐1533; E‐mail: [email protected]
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