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Acute Respiratory Failure Epidemiology
Acute respiratory failure (ARF), a common and serious complication in hospitalized patients, may be caused by several conditions including pneumonia, chronic obstructive pulmonary disease (COPD), adult respiratory distress syndrome (ARDS), and congestive heart failure (CHF). Although ARF is conventionally defined by an arterial oxygen tension of <60 mm Hg, an arterial carbon dioxide tension of >45 mm Hg, or both, these thresholds serve as a guide to be used in combination with history and clinical assessment of the patient.[1, 2] Supplemental oxygen and treatment of the underlying cause is the mainstay of therapy for ARF, but in severe cases patients are treated with invasive mechanical ventilation (IMV) or noninvasive ventilation (NIV). ARF is the most frequent reason for admission to the intensive care unit (ICU)[3, 4] and has an in‐hospital mortality rate of 33% to 37% among those who require IMV.[5, 6] The majority of epidemiologic studies of ARF have been limited to patients requiring mechanical ventilation or those admitted to the ICU, and information about the characteristics and outcomes of patients across the full spectrum of severity is much more limited.[5, 7, 8, 9, 10, 11] General improvements in the management of underlying conditions, implementation of more effective ventilation strategies,[12, 13] and increasing use of NIV[14, 15] may have led to better outcomes for patients with ARF, yet empirical evidence of a change in the adjusted mortality rate over time is lacking.
The objective of this study was to provide a broad characterization of the epidemiology of ARF among adults hospitalized in the United States using a large nationally representative database. We sought to evaluate whether incidence, mortality, cost, or ventilation practice associated with ARF in the United States changed over the period of 2001 to 2009.
METHODS
Data Source
We utilized data from the Nationwide Inpatient Sample (NIS) of the Health Care Cost and Utilization Project,[16] which is a 20% stratified probability sample of all US acute‐care hospitals each year. These data are drawn from a sampling frame that contains close to 95% of all discharges in the United States, with the hospital discharge record as the unit of analysis. The NIS has been used to study trends in many different diagnoses.[17, 18, 19] The database contains demographic information, payer information, principal and secondary diagnoses, cost, discharge disposition, and death during hospitalization. It also contains information on hospital characteristics including ownership, size, teaching status, and geographic region.
Definitions
We included patients 18 years old discharged between 2001 and 2009 with a primary or secondary diagnosis of ARF. We identified cases of ARF using diagnostic codes (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD‐9‐CM]) previously used in studies of acute organ dysfunction in sepsis (518.81, 518.82, 518.84, 518.4, 799.1, 786.09).[17, 20, 21] To define ARDS we relied on ICD‐9‐CM codes (518.4, 518.82, 518.5, 786.09) used in prior studies that showed good sensitivity and specificity.[22, 23] The use of ventilatory support was identified using the ICD‐9‐CM procedure codes[24] (93.90, 93.70, 93.71, 93.76). Comorbidities were classified using the Agency for Healthcare Research and Quality's (Rockville, MD) Healthcare Cost and Utilization Project's (HCUP) Comorbidity Software version 3.103.5.[25]
Outcomes
The primary outcomes included the annual number of hospitalizations, population incidence, hospital mortality, and costs of care. Secondary outcomes included length of stay, most common diagnoses associated with ARF, disposition at discharge, and use and type of ventilatory support.
Analysis
We estimated the number of hospitalizations with a diagnosis of ARF/year, and we calculated the weighted frequencies following HCUP‐NIS recommendations using SAS/STAT survey procedures. Using population estimates for the years 2001 to 2009 from the US Census Bureau, we employed direct standardization to calculate age‐, gender‐, and race‐adjusted population incidence and mortality rates of ARF per 100,000 population. Hospital mortality was defined as the ratio of ARF hospitalizations ending in death divided by total number of ARF hospitalizations. Mechanical ventilation rates and rates of selected comorbidities were similarly defined.
We employed indirect standardization to adjust hospital mortality rates for age, sex, race/ethnicity, comorbidities, and hospital characteristics using logistic regression models from 2001 to predict hospital mortality for 2002 to 2009. We used linear regression models to test whether the slope of year was significant for trends in outcomes overtime. Costs were calculated using hospital‐specific cost‐to‐charge ratios when available and a weighted group average at the state level for remaining hospitals. We converted all costs to 2009 US dollars using the Consumer Price Index. Costs and lengths of stay were not normally distributed, so we calculated weighted geometric means (the average of all logarithmic values), then converted back to a base‐10 number. Using a Taylor series expansion, we then calculated standard errors. All analyses were performed using SAS version 9.2 (SAS Institute, Inc., Cary, NC).
The Baystate Medical Center institutional review board determined that the project did not constitute human subjects research.
RESULTS
Hospitalization Trends
The number of hospitalizations with an ARF diagnosis code increased at an average annual rate of 11.3% from 1,007,549 (standard deviation [SD] = 19,268) in 2001 to 1,917,910 (SD = 47,558) in 2009. More than two‐thirds of ARF admissions were associated with medical, rather than surgical, conditions (69.5% in 2001 and 71.2% in 2009). The median age, racial make‐up, and gender did not change significantly. Over the study period we observed an increase in ARF‐related hospitalizations in large, urban, teaching hospitals and in hospitals located in the Midwest (Table 1).
| 2001 | 2003 | 2005 | 2007 | 2009 | |
|---|---|---|---|---|---|
| |||||
| Patient characteristics | |||||
| All, N (SD) | 1,007,549 (19,268) | 1,184,928 (25,542) | 1,288,594 (30,493) | 1,480,270 (32,002) | 1,917,910 (47,558) |
| Age, mean (SE), y | 66.6 (0.2) | 66.0 (0.2) | 66.1 (0.2) | 65.8 (0.2) | 65.8 (0.2) |
| Age group, % | |||||
| 1844 | 11.5 | 12.0 | 11.5 | 11.6 | 10.9 |
| 4564* | 26.7 | 28.9 | 29.6 | 30.7 | 31.7 |
| 6584* | 50.2 | 47.8 | 47.0 | 45.7 | 45.3 |
| 85+ | 11.5 | 11.4 | 11.9 | 12.0 | 12.1 |
| Male* | 48.1 | 48.2 | 48.6 | 49.3 | 49.2 |
| Race | |||||
| White | 75.8 | 71.9 | 76.5 | 71.8 | 73.4 |
| Black | 12.7 | 13.6 | 11.2 | 14.2 | 12.5 |
| Hispanic | 7.2 | 9.8 | 7.7 | 8.5 | 7.8 |
| Other | 4.2 | 4.7 | 4.7 | 5.5 | 6.3 |
| Primary ARF | 20.7 | 20.9 | 25.9 | 26.1 | 19.9 |
| Secondary ARF | 79.3 | 79.1 | 74.1 | 73.9 | 80.1 |
| Medical* | 69.5 | 69.1 | 69.9 | 70.2 | 71.2 |
| Surgical* | 30.5 | 30.8 | 30.1 | 29.8 | 28.8 |
| Hospital characteristics, % | |||||
| Number of beds | |||||
| Small | 10.0 | 10.1 | 10.5 | 10.8 | 11.3 |
| Medium | 25.2 | 25.3 | 24.6 | 24.0 | 22.7 |
| Large | 64.7 | 64.6 | 64.9 | 65.2 | 66.0 |
| Region | |||||
| South* | 18.5 | 18.5 | 17.6 | 17.0 | 16.3 |
| Midwest | 21.4 | 22.0 | 23.6 | 23.2 | 23.5 |
| Northeast | 42.6 | 41.7 | 41.4 | 42.2 | 42.1 |
| West* | 17.5 | 17.8 | 17.3 | 17.6 | 18.1 |
| Hospital type | |||||
| Rural | 13.6 | 13.0 | 11.8 | 11.0 | 10.8 |
| Urban nonteaching | 45.5 | 44.5 | 50.1 | 45.3 | 45.7 |
| Urban teaching | 40.9 | 42.5 | 38.1 | 43.7 | 43.6 |
| Patient outcomes | |||||
| Ventilation strategy | |||||
| IMV* | 48.5 | 48.4 | 47.5 | 46.5 | 42.1 |
| NIV* | 3.8 | 5.3 | 6.9 | 9.4 | 10.1 |
| IMV or NIV | 50.9 | 51.7 | 52.1 | 52.9 | 49.7 |
| Disposition | |||||
| Home/home healthcare* | 42.1 | 43.8 | 42.8 | 43.4 | 45.7 |
| Transfer to acute care | 5.2 | 4.7 | 4.6 | 4.6 | 4.4 |
| Nursing facility* | 24.4 | 24.9 | 27.4 | 28.6 | 29.0 |
| Other | 0.7 | 0.8 | 0.9 | 0.9 | 1.0 |
| Adjusted mortality, % (SE)* | 27.6 (0.3) | 26.4 (0.4) | 24.9 (0.4) | 22.7 (0.4) | 20.6 (0.3) |
| Adjusted mean, LOS/case, d (SE)* | 7.8 (0.1) | 7.9 (0.1) | 7.7 (0.1) | 7.5 (0.1) | 7.1 (0.1) |
| Adjusted mean cost/case, 2009 US$, (SE) | 15,818 (251) | 16,981 (419) | 17,236 (411) | 16,941 (436) | 15,987 (402) |
After adjusting for age and sex, the population incidence of ARF increased from 502 (standard error [SE] = 10) cases per 100,000 in 2001 to 784 (SE = 19) cases per 100,000 in 2009 (a 56% increase, P < 0.0001). Hispanics had the lowest rates of ARF, with both black and white groups having similar rates (Table 2).
| 2001 | 2003 | 2005 | 2007 | 2009 | |
|---|---|---|---|---|---|
| |||||
| All* | 502 (10) | 569 (12) | 595 (14) | 627 (14) | 784 (19) |
| Age group | |||||
| 1844* | 107 (3) | 130 (4) | 137 (4) | 153 (5) | 189 (6) |
| 4564* | 422 (9) | 500 (12) | 521 (13) | 580 (14) | 739 (19) |
| 6584* | 1697 (35) | 1863 (42) | 1950 (50) | 2066 (46) | 2578 (69) |
| 85+ | 3449 (86) | 3792 (106) | 3981 (120) | 3429 (97) | 4163 (123) |
| Sex | |||||
| Male* | 491 (10) | 553 (13) | 582 (14) | 629 (14) | 782 (20) |
| Female* | 512 (10) | 583 (12) | 607 (15) | 625 (13) | 786 (19) |
| Race/ethnicity | |||||
| White* | 398 (11) | 427 (12) | 466 (16) | 450 (13) | 699 (21) |
| Black* | 423 (27) | 513 (33) | 432 (26) | 574 (38) | 738 (37) |
| Hispanic* | 247 (24) | 381 (42) | 307 (27) | 353 (34) | 478 (42) |
| Other* | 268 (20) | 342 (29) | 347 (26) | 424 (29) | 713 (77) |
| In‐hospital mortality | 140 (3) | 148 (3) | 146 (3) | 140 (3) | 154 (4) |
The most common etiologies of ARF among medical patients were pneumonia, CHF, ARDS, COPD exacerbation, and sepsis. Over the 9‐year study, the proportion of cases secondary to pneumonia and sepsis rose significantly: from 39% to 46% and 13% to 21%, respectively (Figure 1).
Mortality and Other Outcomes
The number of in‐hospital deaths related to ARF increased from 277,407 deaths in 2001 to 381,155 in 2009 (a 37% increase, P < 0.001). Standardized to the population, deaths increased from 140 in 2001 to 154 cases per 100,000 in 2009 (a 10% increase, P = 0.027). Despite slightly increasing mortality rates at a population level, adjusted in‐hospital mortality improved from 27.6% in 2001 to 20.6% in 2009 (P < 0.001). Mortality declined for both IMV and NIV patients from 35.3% in 2001 to 30.2% in 2009 and from 23.5% to 19%, respectively, but increased for those who required both NIV and IMV (from 26.9% in 2001 to 28% in 2009).
Adjusted hospital length of stay decreased from 7.8 days per patient in 2001 to 7.1 days in 2009 (P < 0.001), with a concomitant increase in discharges to nursing facilities, from 24% in 2001 to 29% in 2009. There was no linear trend in adjusted cost per case, with $15,818 in 2001 and $15,987 in 2009 (in 2009 US dollars) (Table 1).
Ventilation Practices
Overall, 50.9% patients received ventilatory support (NIV or IMV or both) in 2001 and 49.7% in 2009 (P= 0.25). The use of NIV increased from 3.8% to 10.1% (P < 0.001), a 169% increase, whereas the utilization of IMV decreased from 48.5% in 2001 to 42.1% in 2009 (P for trend < 0.0001), a 13% decrease. Uses of both NIV and IMV during hospitalization were seen in 1.4% of cases in 2001 and 2.5% of cases in 2009.
2009 Data Analysis
In 2009 the 1,917,910 hospitalizations with ARF resulted in 381,155 (SD = 8965) deaths and a total inpatient cost of $54 billion. The most common etiologies in patients over 65 years old were pneumonia, CHF, COPD, ARDS, and sepsis. In patients younger than 45 years the most frequent diagnoses were pneumonia, ARDS, sepsis, asthma, drug ingestion, and trauma. Stratified analysis by gender and by age groups showed that mortality rates among men were higher than for women and were highest in patients older than 85 years (Table 3).
| Disease | Total | Age <45 Years | 4565 Years | 6584 Years | 85+ Years | Male | Female |
|---|---|---|---|---|---|---|---|
| |||||||
| Medical | |||||||
| Total, N (%) | 1,364,624 (71.2) | 144,715 (10.6) | 416,922 (30.6) | 615,009 (45.1) | 187,977 (13.8) | 647,894 (47.5) | 716,635 (52.5) |
| Pneumonia, %* | 46.1 | 41.7 | 42.8 | 46.9 | 54.3 | 48.8 | 43.7 |
| CHF, %* | 36.6 | 10.4 | 27.3 | 43.6 | 54.8 | 35.0 | 38.1 |
| ARDS, %* | 16.1 | 22.9 | 16.2 | 14.5 | 15.9 | 15.5 | 16.7 |
| Sepsis, %* | 21.2 | 18.1 | 21.3 | 21.3 | 23.1 | 22.8 | 19.8 |
| COPD, %* | 25.4 | 4.2 | 25.6 | 32.3 | 18.3 | 25.0 | 25.7 |
| AMI, %* | 9.0 | 2.6 | 7.1 | 10.5 | 13.3 | 9.3 | 8.8 |
| Asthma, %* | 9.2 | 18.1 | 11.6 | 6.7 | 5.4 | 6.2 | 12.0 |
| Stroke, %* | 4.8 | 2.3 | 4.1 | 5.5 | 6.0 | 5.0 | 4.7 |
| Trauma or burns, %* | 3.4 | 5.4 | 2.9 | 3.0 | 4.1 | 4.3 | 2.5 |
| Cardiorespiratory arrest, %* | 4.1 | 3.9 | 4.4 | 4.1 | 3.8 | 4.6 | 3.7 |
| Drug, %* | 3.7 | 16.6 | 5.1 | 0.8 | 0.3 | 3.8 | 3.6 |
| IMV, %* | 37.7 | 54.6 | 43.7 | 33.5 | 24.8 | 41.1 | 34.5 |
| NIV, %* | 11.9 | 7.1 | 11.5 | 13.0 | 12.7 | 11.4 | 12.3 |
| In‐hospital mortality (CI) | 22 (21.322.7) | 12.9 (11.913.9) | 18.5 (17.619.4) | 23.9 (23.024.9) | 31.8 (30.633.1) | 24.2 (23.325.1) | 20.9 (20.121.7) |
| Surgical | |||||||
| Total, N (%) | 552971 (28.8) | 64983 (11.8) | 190225 (34.4) | 254336 (46) | 43426 (7.9) | 295660 (53.5) | 257287 (46.5) |
| Pneumonia, %* | 34.9 | 33.0 | 34.0 | 35.0 | 40.5 | 37.1 | 32.2 |
| CHF, %* | 27.2 | 8.9 | 21.7 | 33.3 | 42.6 | 26.7 | 27.7 |
| ARDS, %* | 45.5 | 51.5 | 45.2 | 44.7 | 42.7 | 45.0 | 46.1 |
| Sepsis, %* | 25.1 | 22.8 | 25.4 | 25.2 | 26.1 | 25.4 | 24.7 |
| COPD, %* | 8.2 | 1.1 | 7.4 | 10.8 | 7.5 | 8.3 | 8.1 |
| AMI, %* | 16.9 | 4.9 | 17.0 | 19.8 | 17.9 | 19.1 | 14.4 |
| Asthma, %* | 6.1 | 7.6 | 7.2 | 5.4 | 3.6 | 4.1 | 8.5 |
| Stroke, %* | 8.9 | 6.6 | 9.2 | 9.4 | 7.2 | 8.9 | 8.8 |
| Trauma or burns, %* | 12.2 | 26.5 | 9.6 | 9.2 | 20.3 | 13.8 | 10.4 |
| Cardiorespiratory arrest, %* | 5.5 | 4.4 | 6.0 | 5.4 | 5.2 | 6.1 | 4.7 |
| Drug, %* | 0.5 | 1.3 | 0.7 | 0.2 | 0.2 | 0.4 | 0.6 |
| IMV, %* | 52.9 | 57.1 | 54.3 | 51.3 | 50.0 | 54.5 | 51.0 |
| NIV, %* | 5.8 | 3.5 | 5.5 | 6.4 | 6.4 | 5.6 | 6.0 |
| In‐hospital mortality, % (CI) | 18.6 (17.819.5) | 10.7 (9.312.0) | 15.5 (14.216.8) | 20.8 (19.821.9) | 29.4 (27.831.1) | 19.0 (18.219.8) | 18.3 (17.319.2) |
When we examined ventilation practices among medical patients we found that patients older than 85 years, when compared to patients younger than 45 years, were less likely to be treated with IMV (25% vs 55%) and more likely to be treated with NIV (12.7% vs 7%). At the same time, the average cost per case was lowest among patients 85 years and older, and hospital costs per case fell sharply after age 70 years. Costs were considerably higher for those who did not survive during hospitalization, particularly for patients younger than 45 years (Figure 2).
DISCUSSION
In this large population‐based study, we found that the number of hospitalizations associated with a diagnosis of ARF almost doubled over a 9‐year period. In 2009 there were nearly 2 million hospitalizations with ARF in the United States, resulting in approximately 380,000 deaths and inpatient costs of over $54 billion. The population‐adjusted ARF hospitalization rates increased in all age groups, and patients 85 years and older had the highest age‐specific hospitalization rate. Although overall rates of mechanical ventilation (NIV or IMV) remained stable over the 9‐year period, there was an important shift away from IMV (which decreased from 48% in 2001 to 42% in 2009) toward NIV (which increased from 4% in 2001 to 10% in 2009). Overall, there was a significant increase in the number of total deaths despite a decline in adjusted in‐hospital mortality rates. In‐hospital mortality rates decreased for all cases of ARF regardless of ventilation choice.
The findings of this study mirror results of others that have shown that although the incidence of critical care illnesses like sepsis[17, 20, 21, 26] and acute renal failure[27] has increased over the last decade, in‐hospital mortality rates have decreased.[20, 21, 28] Our results also compliment the results of a recent study that looked at hospitalizations for noncardiogenic ARF, which observed a 3.7‐fold increase in the number of cases and a steady decline in case fatality.[11]
Most prior studies addressing the incidence of ARF have included only patients receiving mechanical ventilation. In 1994, the estimated number of cases of ARF requiring IMV was 329,766,[9] which increased to 790,257 in 2005.[10] In our study we found that in 2009, the number of patients with ARF hospitalizations with IMV increased to 806,538. The increase in the overall number of cases with ARF was mainly driven by a surge in cases of sepsis and pneumonia. Our findings are consistent with national trends over time in noncardiogenic ARF[11] and in conditions that predispose patients to ARF such as sepsis[17, 20, 28] and acute renal failure.[27] As the number of claims for ARF doubled and the number of deaths increased, we found that adjusted hospital mortality improved from 27.6% in 2001 to 20.6% in 2009. This decline in hospital mortality was observed among all patients groups, regardless of ventilation choice. The decline in overall case fatality is consistent with prior findings in noncardiogenic ARF,[11] sepsis,[17, 28] and CHF.[29]
There are a number of potential explanations for the reduction in mortality observed over the study period, including improvements in hospital management of the underlying conditions leading to ARF, an increase in the proportion of patients being treated with NIV,[30] and advances in the care of critically ill patients such as the use of low‐tidal volume ventilation.[31, 32] Another contributor may be an increase in the proportion of discharges to nursing facilities, although this change in discharge disposition cannot fully explain our findings. For example, from 2007 to 2009, mortality decreased by 2 percentage points, and nursing home discharges increased by only 0.4 percentage points. Growth and aging of the US population only partially explain the increase we observed in the incidence of ARF, as age‐ and sex‐adjusted population rates increased by 56% from 2001 to 2009. In addition, the NIS captures data on hospital discharges and not individual patients; thus, a patient may have had multiple admissions. Over the last decade adoption of a more intensive practice style has been associated with improved in‐hospital mortality,[33, 34] and although these patients may be living longer they may have multiple readmissions.[35, 36]
We also observed that older patients were less likely to be treated with IMV, had a higher mortality rate, and less expensive care. These results are consistent with other studies and suggest that the intensity of treatment decreases with increasing age, and decisions to withhold or withdraw life‐supporting treatments are more frequent in the elderly.[26, 37] Prior research has shown that severity of illness is more important than age on patients' prognosis,[38, 39] and aggressive treatment strategies are not less cost‐effective when provided to older patients.[40]
Another important finding of this study is the marked increase in the use of NIV paired with a modest reduction in the use of IMV in the treatment of patients with ARF. This finding adds to evidence from other studies, which have similarly reported a dramatic increase in the use of NIV and a decrease in the use of IMV in patients with COPD as well as in ARF of other etiologies.[30, 41]
Our work has several limitations. First, we identified ARF based on ICD‐9‐CM codes and therefore cannot exclude disease misclassification. We did not find any studies in the literature addressing the accuracy and the completeness of ARF coding. However, we employed the same codes used to define ARF as has been used to define organ dysfunction in studies of severe sepsis,[17, 20] and the ICD‐9‐CM codes that we used to identify cases of ARDS have been used in prior studies.[11, 22, 23] Another limitation is that it is not clear to what extent the trends we observed may be due to changes over time in documentation and coding practices. Although this should be considered given the additional reimbursement associated with the diagnosis of ARF, our observation that rates of assisted ventilation have remained almost flat over the 9‐year period of the study suggest that would not wholly account for the rise in ARF. Second, because we did not have access to physiological data such as results of blood gas testing, we could not determine whether the threshold for applying the diagnosis of ARF or for delivering ventilatory support has changed over time. Third, for the purpose of this study we employed a broad definition of ARF, not limiting cases to those requiring mechanical ventilation, and this led to a more heterogeneous cohort including less severe cases of ARF. However, this is not dissimilar to the heterogeneity in disease severity observed among patients who receive a diagnosis of heart failure or acute renal failure. Fourth, survivors of ARF remain at high risk of death in the months after hospitalization,[42] but we assessed only in‐hospital mortality. It is possible that although in‐hospital mortality has improved, 30‐day mortality remained stable. Finally, as the NIS contains only discharge‐level data, we could not distinguish between patients admitted for ARF from those who developed ARF (potentially iatrogenic) after admission.
In summary, over the period of 2001 to 2009, there was a large increase in the number of patients given a diagnosis of ARF and a concomitant reduction in inpatient mortality. Although rates of mechanical ventilation remained relatively constant, there was a significant shift toward greater use of NIV at the expense of IMV.
Disclosures
Dr. Stefan is supported by KM1 CA156726 from the National Cancer Institute (NCI) and by the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health (NIH), through grant UL1 RR025752. The work on this study was supported by a Charlton grant from Tufts University School of Medicine. Dr. Lindenauer and Dr. Pekow are supported by 1R18HL108810‐01 from the National Heart, Lung, and Blood Institute (NHLBI). The content of this publication is solely the responsibility of the authors and does not represent the official views of the NIH, NHLBI, or NCI.
All authors have read and approved the manuscript and none of them have any potential conflicts of interest to report.
Dr. Stefan had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Conception and design: Mihaela S. Stefan, Penelope S. Pekow, Michael B. Rothberg, Jay Steingrub, Peter K. Lindenauer; analysis and interpretation: Meng‐Shiou Shieh, Mihaela S. Stefan, Penelope S. Pekow, Michael B. Rothberg, Tara Lagu, Peter K. Lindenauer; drafting the manuscript for important intellectual content: Mihaela S. Stefan, Penelope S. Pekow, Michael B. Rothberg, Jay Steingrub, Tara Lagu, and Peter K. Lindenauer.
- , . Goldman's Cecil Medicine. 24th ed. Amsterdam, the Netherlands: Elsevier Inc.; 2012.
- , . Textbook of Respiratory Medicine. 5th ed. Philadelphia, PA: Saunders; 2010.
- , , . Epidemiology and outcome of acute respiratory failure in intensive care unit patients. Crit Care Med. 2003;31(4 suppl):S296–S299.
- , , , et al. Epidemiology of critical care syndromes, organ failures, and life‐support interventions in a suburban US community. Chest. 2011;140(6):1447–1455.
- , , , , . The changing epidemiology of mechanical ventilation: a population‐based study. J Intensive Care Med. 2006;21(3):173–182.
- , , , , . Mechanical ventilation in Ontario, 1992–2000: incidence, survival, and hospital bed utilization of noncardiac surgery adult patients. Crit Care Med. 2004;32(7):1504–1509.
- . Contributions to the epidemiology of acute respiratory failure. Crit Care. 2003;7(4):288–290.
- , , , et al. Incidence, severity, and mortality of acute respiratory failure in Berlin, Germany. Am J Respir Crit Care Med. 1995;151(4):1121–1125.
- . Acute respiratory failure in the United States: incidence and 31‐day survival. Chest. 2000;118(4):1100–1105.
- , , , , , . The epidemiology of mechanical ventilation use in the United States. Crit Care Med. 2010;38(10):1947–1953.
- , , , . Trends in the incidence of noncardiogenic acute respiratory failure: the role of race. Crit Care Med. 2012;40(5):1532–1538.
- , , , , . Secular trends in nosocomial infections and mortality associated with noninvasive ventilation in patients with exacerbation of COPD and pulmonary edema. JAMA. 2003;290(22):2985–2991.
- , , , et al. Association of noninvasive ventilation with nosocomial infections and survival in critically ill patients. JAMA. 2000;284(18):2361–2367.
- , , , , . Noninvasive versus conventional mechanical ventilation. An epidemiologic survey. Am J Respir Crit Care Med. 2001;163(4):874–880.
- , , , , , . Does noninvasive ventilation reduce the ICU nosocomial infection risk? A prospective clinical survey. Intensive Care Med. 1999;25(6):567–573.
- Heathcare Cost and Utilization Project (HCUP). Overview of the Nationwide Inpatient Sample. Available at: http://www.hcup‐us.ahrq.gov/nisoverview.jsp. Accessed December 6, 2011.
- , , , , , . Hospitalizations, costs, and outcomes of severe sepsis in the United States 2003 to 2007. Crit Care Med. 2011;40(3):754–761.
- , , , , . Association of diagnostic coding with trends in hospitalizations and mortality of patients with pneumonia, 2003–2009. JAMA. 2012;307(13):1405–1413.
- , , , , . Little evidence of correlation between growth in health care spending and reduced mortality. Health Aff (Millwood). 2010;29(8):1523–1531.
- , , , . The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med. 2003;348(16):1546–1554.
- , , , . Rapid increase in hospitalization and mortality rates for severe sepsis in the United States: a trend analysis from 1993 to 2003. Crit Care Med. 2007;35(5):1244–1250.
- , , . Risk factors for ARDS in the United States: analysis of the 1993 National Mortality Followback Study. Chest. 2001;119(4):1179–1184.
- , , , , , . Acute respiratory distress syndrome: estimated incidence and mortality rate in a 5 million‐person population base. Crit Care. 1998;2(1):29–34.
- , , . Validity of procedure codes in International Classification of Diseases, 9th Revision, Clinical Modification administrative data. Med Care. 2004;42(8):801–809.
- , , , . Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27.
- , . Epidemiology of sepsis: an update. Crit Care Med. 2001;29(7 suppl):S109–S116.
- , , , , , . Epidemiology and outcomes of acute renal failure in hospitalized patients: a national survey. Clin J Am Soc Nephrol. 2006;1(1):43–51.
- , , , . Facing the challenge: decreasing case fatality rates in severe sepsis despite increasing hospitalizations. Crit Care Med. 2005;33(11):2555–2562.
- , , , . National and regional trends in heart failure hospitalization and mortality rates for Medicare beneficiaries,1998–2008. JAMA. 2011;306(15):1669–1678.
- , , , et al. Outcomes of noninvasive ventilation for acute exacerbations of chronic obstructive pulmonary disease in the United States, 1998–2008. Am J Respir Crit Care Med. 2011;185(2):152–159.
- , , , et al. A trial of goal‐oriented hemodynamic therapy in critically ill patients. SvO2 Collaborative Group. N Engl J Med. 1995;333(16):1025–1032.
- , . Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury. N Engl J Med. 2000;343(11):813; author reply 813–814.
- , , . Short‐ and long‐term survival of nonsurgical intensive care patients and its relation to diagnosis, severity of disease, age and comorbidities. Curr Aging Sci. 2009;2(3):240–248.
- , , , , , . The impact of COPD on management and outcomes of patients hospitalized with acute myocardial infarction—a ten‐year retrospective observational study. Chest. 2012;141(6):1441–1448.
- . The paradox of health. N Engl J Med. 1988;318(7):414–418.
- , , . Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360(14):1418–1428.
- , , , et al. Outcomes and cost‐effectiveness of ventilator support and aggressive care for patients with acute respiratory failure due to pneumonia or acute respiratory distress syndrome. Am J Med. 2000;109(8):614–620.
- , , , et al. Older age, aggressiveness of care, and survival for seriously ill, hospitalized adults. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. Ann Intern Med. 1999;131(10):721–728.
- , , , et al. Patient age and decisions to withhold life‐sustaining treatments from seriously ill, hospitalized adults. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment. Ann Intern Med. 1999;130(2):116–125.
- , , , et al. Are aggressive treatment strategies less cost‐effective for older patients? The case of ventilator support and aggressive care for patients with acute respiratory failure. J Am Geriatr Soc. 2001;49(4):382–390.
- , . Utilization of non‐invasive ventilation in patients with acute respiratory failure from 2000–2009: a population‐based study. Am J Respir Crit Care Med. 2012;185:A6488.
- , , , et al. One‐year outcomes in survivors of the acute respiratory distress syndrome. N Engl J Med. 2003;348(8):683–693.
Acute respiratory failure (ARF), a common and serious complication in hospitalized patients, may be caused by several conditions including pneumonia, chronic obstructive pulmonary disease (COPD), adult respiratory distress syndrome (ARDS), and congestive heart failure (CHF). Although ARF is conventionally defined by an arterial oxygen tension of <60 mm Hg, an arterial carbon dioxide tension of >45 mm Hg, or both, these thresholds serve as a guide to be used in combination with history and clinical assessment of the patient.[1, 2] Supplemental oxygen and treatment of the underlying cause is the mainstay of therapy for ARF, but in severe cases patients are treated with invasive mechanical ventilation (IMV) or noninvasive ventilation (NIV). ARF is the most frequent reason for admission to the intensive care unit (ICU)[3, 4] and has an in‐hospital mortality rate of 33% to 37% among those who require IMV.[5, 6] The majority of epidemiologic studies of ARF have been limited to patients requiring mechanical ventilation or those admitted to the ICU, and information about the characteristics and outcomes of patients across the full spectrum of severity is much more limited.[5, 7, 8, 9, 10, 11] General improvements in the management of underlying conditions, implementation of more effective ventilation strategies,[12, 13] and increasing use of NIV[14, 15] may have led to better outcomes for patients with ARF, yet empirical evidence of a change in the adjusted mortality rate over time is lacking.
The objective of this study was to provide a broad characterization of the epidemiology of ARF among adults hospitalized in the United States using a large nationally representative database. We sought to evaluate whether incidence, mortality, cost, or ventilation practice associated with ARF in the United States changed over the period of 2001 to 2009.
METHODS
Data Source
We utilized data from the Nationwide Inpatient Sample (NIS) of the Health Care Cost and Utilization Project,[16] which is a 20% stratified probability sample of all US acute‐care hospitals each year. These data are drawn from a sampling frame that contains close to 95% of all discharges in the United States, with the hospital discharge record as the unit of analysis. The NIS has been used to study trends in many different diagnoses.[17, 18, 19] The database contains demographic information, payer information, principal and secondary diagnoses, cost, discharge disposition, and death during hospitalization. It also contains information on hospital characteristics including ownership, size, teaching status, and geographic region.
Definitions
We included patients 18 years old discharged between 2001 and 2009 with a primary or secondary diagnosis of ARF. We identified cases of ARF using diagnostic codes (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD‐9‐CM]) previously used in studies of acute organ dysfunction in sepsis (518.81, 518.82, 518.84, 518.4, 799.1, 786.09).[17, 20, 21] To define ARDS we relied on ICD‐9‐CM codes (518.4, 518.82, 518.5, 786.09) used in prior studies that showed good sensitivity and specificity.[22, 23] The use of ventilatory support was identified using the ICD‐9‐CM procedure codes[24] (93.90, 93.70, 93.71, 93.76). Comorbidities were classified using the Agency for Healthcare Research and Quality's (Rockville, MD) Healthcare Cost and Utilization Project's (HCUP) Comorbidity Software version 3.103.5.[25]
Outcomes
The primary outcomes included the annual number of hospitalizations, population incidence, hospital mortality, and costs of care. Secondary outcomes included length of stay, most common diagnoses associated with ARF, disposition at discharge, and use and type of ventilatory support.
Analysis
We estimated the number of hospitalizations with a diagnosis of ARF/year, and we calculated the weighted frequencies following HCUP‐NIS recommendations using SAS/STAT survey procedures. Using population estimates for the years 2001 to 2009 from the US Census Bureau, we employed direct standardization to calculate age‐, gender‐, and race‐adjusted population incidence and mortality rates of ARF per 100,000 population. Hospital mortality was defined as the ratio of ARF hospitalizations ending in death divided by total number of ARF hospitalizations. Mechanical ventilation rates and rates of selected comorbidities were similarly defined.
We employed indirect standardization to adjust hospital mortality rates for age, sex, race/ethnicity, comorbidities, and hospital characteristics using logistic regression models from 2001 to predict hospital mortality for 2002 to 2009. We used linear regression models to test whether the slope of year was significant for trends in outcomes overtime. Costs were calculated using hospital‐specific cost‐to‐charge ratios when available and a weighted group average at the state level for remaining hospitals. We converted all costs to 2009 US dollars using the Consumer Price Index. Costs and lengths of stay were not normally distributed, so we calculated weighted geometric means (the average of all logarithmic values), then converted back to a base‐10 number. Using a Taylor series expansion, we then calculated standard errors. All analyses were performed using SAS version 9.2 (SAS Institute, Inc., Cary, NC).
The Baystate Medical Center institutional review board determined that the project did not constitute human subjects research.
RESULTS
Hospitalization Trends
The number of hospitalizations with an ARF diagnosis code increased at an average annual rate of 11.3% from 1,007,549 (standard deviation [SD] = 19,268) in 2001 to 1,917,910 (SD = 47,558) in 2009. More than two‐thirds of ARF admissions were associated with medical, rather than surgical, conditions (69.5% in 2001 and 71.2% in 2009). The median age, racial make‐up, and gender did not change significantly. Over the study period we observed an increase in ARF‐related hospitalizations in large, urban, teaching hospitals and in hospitals located in the Midwest (Table 1).
| 2001 | 2003 | 2005 | 2007 | 2009 | |
|---|---|---|---|---|---|
| |||||
| Patient characteristics | |||||
| All, N (SD) | 1,007,549 (19,268) | 1,184,928 (25,542) | 1,288,594 (30,493) | 1,480,270 (32,002) | 1,917,910 (47,558) |
| Age, mean (SE), y | 66.6 (0.2) | 66.0 (0.2) | 66.1 (0.2) | 65.8 (0.2) | 65.8 (0.2) |
| Age group, % | |||||
| 1844 | 11.5 | 12.0 | 11.5 | 11.6 | 10.9 |
| 4564* | 26.7 | 28.9 | 29.6 | 30.7 | 31.7 |
| 6584* | 50.2 | 47.8 | 47.0 | 45.7 | 45.3 |
| 85+ | 11.5 | 11.4 | 11.9 | 12.0 | 12.1 |
| Male* | 48.1 | 48.2 | 48.6 | 49.3 | 49.2 |
| Race | |||||
| White | 75.8 | 71.9 | 76.5 | 71.8 | 73.4 |
| Black | 12.7 | 13.6 | 11.2 | 14.2 | 12.5 |
| Hispanic | 7.2 | 9.8 | 7.7 | 8.5 | 7.8 |
| Other | 4.2 | 4.7 | 4.7 | 5.5 | 6.3 |
| Primary ARF | 20.7 | 20.9 | 25.9 | 26.1 | 19.9 |
| Secondary ARF | 79.3 | 79.1 | 74.1 | 73.9 | 80.1 |
| Medical* | 69.5 | 69.1 | 69.9 | 70.2 | 71.2 |
| Surgical* | 30.5 | 30.8 | 30.1 | 29.8 | 28.8 |
| Hospital characteristics, % | |||||
| Number of beds | |||||
| Small | 10.0 | 10.1 | 10.5 | 10.8 | 11.3 |
| Medium | 25.2 | 25.3 | 24.6 | 24.0 | 22.7 |
| Large | 64.7 | 64.6 | 64.9 | 65.2 | 66.0 |
| Region | |||||
| South* | 18.5 | 18.5 | 17.6 | 17.0 | 16.3 |
| Midwest | 21.4 | 22.0 | 23.6 | 23.2 | 23.5 |
| Northeast | 42.6 | 41.7 | 41.4 | 42.2 | 42.1 |
| West* | 17.5 | 17.8 | 17.3 | 17.6 | 18.1 |
| Hospital type | |||||
| Rural | 13.6 | 13.0 | 11.8 | 11.0 | 10.8 |
| Urban nonteaching | 45.5 | 44.5 | 50.1 | 45.3 | 45.7 |
| Urban teaching | 40.9 | 42.5 | 38.1 | 43.7 | 43.6 |
| Patient outcomes | |||||
| Ventilation strategy | |||||
| IMV* | 48.5 | 48.4 | 47.5 | 46.5 | 42.1 |
| NIV* | 3.8 | 5.3 | 6.9 | 9.4 | 10.1 |
| IMV or NIV | 50.9 | 51.7 | 52.1 | 52.9 | 49.7 |
| Disposition | |||||
| Home/home healthcare* | 42.1 | 43.8 | 42.8 | 43.4 | 45.7 |
| Transfer to acute care | 5.2 | 4.7 | 4.6 | 4.6 | 4.4 |
| Nursing facility* | 24.4 | 24.9 | 27.4 | 28.6 | 29.0 |
| Other | 0.7 | 0.8 | 0.9 | 0.9 | 1.0 |
| Adjusted mortality, % (SE)* | 27.6 (0.3) | 26.4 (0.4) | 24.9 (0.4) | 22.7 (0.4) | 20.6 (0.3) |
| Adjusted mean, LOS/case, d (SE)* | 7.8 (0.1) | 7.9 (0.1) | 7.7 (0.1) | 7.5 (0.1) | 7.1 (0.1) |
| Adjusted mean cost/case, 2009 US$, (SE) | 15,818 (251) | 16,981 (419) | 17,236 (411) | 16,941 (436) | 15,987 (402) |
After adjusting for age and sex, the population incidence of ARF increased from 502 (standard error [SE] = 10) cases per 100,000 in 2001 to 784 (SE = 19) cases per 100,000 in 2009 (a 56% increase, P < 0.0001). Hispanics had the lowest rates of ARF, with both black and white groups having similar rates (Table 2).
| 2001 | 2003 | 2005 | 2007 | 2009 | |
|---|---|---|---|---|---|
| |||||
| All* | 502 (10) | 569 (12) | 595 (14) | 627 (14) | 784 (19) |
| Age group | |||||
| 1844* | 107 (3) | 130 (4) | 137 (4) | 153 (5) | 189 (6) |
| 4564* | 422 (9) | 500 (12) | 521 (13) | 580 (14) | 739 (19) |
| 6584* | 1697 (35) | 1863 (42) | 1950 (50) | 2066 (46) | 2578 (69) |
| 85+ | 3449 (86) | 3792 (106) | 3981 (120) | 3429 (97) | 4163 (123) |
| Sex | |||||
| Male* | 491 (10) | 553 (13) | 582 (14) | 629 (14) | 782 (20) |
| Female* | 512 (10) | 583 (12) | 607 (15) | 625 (13) | 786 (19) |
| Race/ethnicity | |||||
| White* | 398 (11) | 427 (12) | 466 (16) | 450 (13) | 699 (21) |
| Black* | 423 (27) | 513 (33) | 432 (26) | 574 (38) | 738 (37) |
| Hispanic* | 247 (24) | 381 (42) | 307 (27) | 353 (34) | 478 (42) |
| Other* | 268 (20) | 342 (29) | 347 (26) | 424 (29) | 713 (77) |
| In‐hospital mortality | 140 (3) | 148 (3) | 146 (3) | 140 (3) | 154 (4) |
The most common etiologies of ARF among medical patients were pneumonia, CHF, ARDS, COPD exacerbation, and sepsis. Over the 9‐year study, the proportion of cases secondary to pneumonia and sepsis rose significantly: from 39% to 46% and 13% to 21%, respectively (Figure 1).
Mortality and Other Outcomes
The number of in‐hospital deaths related to ARF increased from 277,407 deaths in 2001 to 381,155 in 2009 (a 37% increase, P < 0.001). Standardized to the population, deaths increased from 140 in 2001 to 154 cases per 100,000 in 2009 (a 10% increase, P = 0.027). Despite slightly increasing mortality rates at a population level, adjusted in‐hospital mortality improved from 27.6% in 2001 to 20.6% in 2009 (P < 0.001). Mortality declined for both IMV and NIV patients from 35.3% in 2001 to 30.2% in 2009 and from 23.5% to 19%, respectively, but increased for those who required both NIV and IMV (from 26.9% in 2001 to 28% in 2009).
Adjusted hospital length of stay decreased from 7.8 days per patient in 2001 to 7.1 days in 2009 (P < 0.001), with a concomitant increase in discharges to nursing facilities, from 24% in 2001 to 29% in 2009. There was no linear trend in adjusted cost per case, with $15,818 in 2001 and $15,987 in 2009 (in 2009 US dollars) (Table 1).
Ventilation Practices
Overall, 50.9% patients received ventilatory support (NIV or IMV or both) in 2001 and 49.7% in 2009 (P= 0.25). The use of NIV increased from 3.8% to 10.1% (P < 0.001), a 169% increase, whereas the utilization of IMV decreased from 48.5% in 2001 to 42.1% in 2009 (P for trend < 0.0001), a 13% decrease. Uses of both NIV and IMV during hospitalization were seen in 1.4% of cases in 2001 and 2.5% of cases in 2009.
2009 Data Analysis
In 2009 the 1,917,910 hospitalizations with ARF resulted in 381,155 (SD = 8965) deaths and a total inpatient cost of $54 billion. The most common etiologies in patients over 65 years old were pneumonia, CHF, COPD, ARDS, and sepsis. In patients younger than 45 years the most frequent diagnoses were pneumonia, ARDS, sepsis, asthma, drug ingestion, and trauma. Stratified analysis by gender and by age groups showed that mortality rates among men were higher than for women and were highest in patients older than 85 years (Table 3).
| Disease | Total | Age <45 Years | 4565 Years | 6584 Years | 85+ Years | Male | Female |
|---|---|---|---|---|---|---|---|
| |||||||
| Medical | |||||||
| Total, N (%) | 1,364,624 (71.2) | 144,715 (10.6) | 416,922 (30.6) | 615,009 (45.1) | 187,977 (13.8) | 647,894 (47.5) | 716,635 (52.5) |
| Pneumonia, %* | 46.1 | 41.7 | 42.8 | 46.9 | 54.3 | 48.8 | 43.7 |
| CHF, %* | 36.6 | 10.4 | 27.3 | 43.6 | 54.8 | 35.0 | 38.1 |
| ARDS, %* | 16.1 | 22.9 | 16.2 | 14.5 | 15.9 | 15.5 | 16.7 |
| Sepsis, %* | 21.2 | 18.1 | 21.3 | 21.3 | 23.1 | 22.8 | 19.8 |
| COPD, %* | 25.4 | 4.2 | 25.6 | 32.3 | 18.3 | 25.0 | 25.7 |
| AMI, %* | 9.0 | 2.6 | 7.1 | 10.5 | 13.3 | 9.3 | 8.8 |
| Asthma, %* | 9.2 | 18.1 | 11.6 | 6.7 | 5.4 | 6.2 | 12.0 |
| Stroke, %* | 4.8 | 2.3 | 4.1 | 5.5 | 6.0 | 5.0 | 4.7 |
| Trauma or burns, %* | 3.4 | 5.4 | 2.9 | 3.0 | 4.1 | 4.3 | 2.5 |
| Cardiorespiratory arrest, %* | 4.1 | 3.9 | 4.4 | 4.1 | 3.8 | 4.6 | 3.7 |
| Drug, %* | 3.7 | 16.6 | 5.1 | 0.8 | 0.3 | 3.8 | 3.6 |
| IMV, %* | 37.7 | 54.6 | 43.7 | 33.5 | 24.8 | 41.1 | 34.5 |
| NIV, %* | 11.9 | 7.1 | 11.5 | 13.0 | 12.7 | 11.4 | 12.3 |
| In‐hospital mortality (CI) | 22 (21.322.7) | 12.9 (11.913.9) | 18.5 (17.619.4) | 23.9 (23.024.9) | 31.8 (30.633.1) | 24.2 (23.325.1) | 20.9 (20.121.7) |
| Surgical | |||||||
| Total, N (%) | 552971 (28.8) | 64983 (11.8) | 190225 (34.4) | 254336 (46) | 43426 (7.9) | 295660 (53.5) | 257287 (46.5) |
| Pneumonia, %* | 34.9 | 33.0 | 34.0 | 35.0 | 40.5 | 37.1 | 32.2 |
| CHF, %* | 27.2 | 8.9 | 21.7 | 33.3 | 42.6 | 26.7 | 27.7 |
| ARDS, %* | 45.5 | 51.5 | 45.2 | 44.7 | 42.7 | 45.0 | 46.1 |
| Sepsis, %* | 25.1 | 22.8 | 25.4 | 25.2 | 26.1 | 25.4 | 24.7 |
| COPD, %* | 8.2 | 1.1 | 7.4 | 10.8 | 7.5 | 8.3 | 8.1 |
| AMI, %* | 16.9 | 4.9 | 17.0 | 19.8 | 17.9 | 19.1 | 14.4 |
| Asthma, %* | 6.1 | 7.6 | 7.2 | 5.4 | 3.6 | 4.1 | 8.5 |
| Stroke, %* | 8.9 | 6.6 | 9.2 | 9.4 | 7.2 | 8.9 | 8.8 |
| Trauma or burns, %* | 12.2 | 26.5 | 9.6 | 9.2 | 20.3 | 13.8 | 10.4 |
| Cardiorespiratory arrest, %* | 5.5 | 4.4 | 6.0 | 5.4 | 5.2 | 6.1 | 4.7 |
| Drug, %* | 0.5 | 1.3 | 0.7 | 0.2 | 0.2 | 0.4 | 0.6 |
| IMV, %* | 52.9 | 57.1 | 54.3 | 51.3 | 50.0 | 54.5 | 51.0 |
| NIV, %* | 5.8 | 3.5 | 5.5 | 6.4 | 6.4 | 5.6 | 6.0 |
| In‐hospital mortality, % (CI) | 18.6 (17.819.5) | 10.7 (9.312.0) | 15.5 (14.216.8) | 20.8 (19.821.9) | 29.4 (27.831.1) | 19.0 (18.219.8) | 18.3 (17.319.2) |
When we examined ventilation practices among medical patients we found that patients older than 85 years, when compared to patients younger than 45 years, were less likely to be treated with IMV (25% vs 55%) and more likely to be treated with NIV (12.7% vs 7%). At the same time, the average cost per case was lowest among patients 85 years and older, and hospital costs per case fell sharply after age 70 years. Costs were considerably higher for those who did not survive during hospitalization, particularly for patients younger than 45 years (Figure 2).
DISCUSSION
In this large population‐based study, we found that the number of hospitalizations associated with a diagnosis of ARF almost doubled over a 9‐year period. In 2009 there were nearly 2 million hospitalizations with ARF in the United States, resulting in approximately 380,000 deaths and inpatient costs of over $54 billion. The population‐adjusted ARF hospitalization rates increased in all age groups, and patients 85 years and older had the highest age‐specific hospitalization rate. Although overall rates of mechanical ventilation (NIV or IMV) remained stable over the 9‐year period, there was an important shift away from IMV (which decreased from 48% in 2001 to 42% in 2009) toward NIV (which increased from 4% in 2001 to 10% in 2009). Overall, there was a significant increase in the number of total deaths despite a decline in adjusted in‐hospital mortality rates. In‐hospital mortality rates decreased for all cases of ARF regardless of ventilation choice.
The findings of this study mirror results of others that have shown that although the incidence of critical care illnesses like sepsis[17, 20, 21, 26] and acute renal failure[27] has increased over the last decade, in‐hospital mortality rates have decreased.[20, 21, 28] Our results also compliment the results of a recent study that looked at hospitalizations for noncardiogenic ARF, which observed a 3.7‐fold increase in the number of cases and a steady decline in case fatality.[11]
Most prior studies addressing the incidence of ARF have included only patients receiving mechanical ventilation. In 1994, the estimated number of cases of ARF requiring IMV was 329,766,[9] which increased to 790,257 in 2005.[10] In our study we found that in 2009, the number of patients with ARF hospitalizations with IMV increased to 806,538. The increase in the overall number of cases with ARF was mainly driven by a surge in cases of sepsis and pneumonia. Our findings are consistent with national trends over time in noncardiogenic ARF[11] and in conditions that predispose patients to ARF such as sepsis[17, 20, 28] and acute renal failure.[27] As the number of claims for ARF doubled and the number of deaths increased, we found that adjusted hospital mortality improved from 27.6% in 2001 to 20.6% in 2009. This decline in hospital mortality was observed among all patients groups, regardless of ventilation choice. The decline in overall case fatality is consistent with prior findings in noncardiogenic ARF,[11] sepsis,[17, 28] and CHF.[29]
There are a number of potential explanations for the reduction in mortality observed over the study period, including improvements in hospital management of the underlying conditions leading to ARF, an increase in the proportion of patients being treated with NIV,[30] and advances in the care of critically ill patients such as the use of low‐tidal volume ventilation.[31, 32] Another contributor may be an increase in the proportion of discharges to nursing facilities, although this change in discharge disposition cannot fully explain our findings. For example, from 2007 to 2009, mortality decreased by 2 percentage points, and nursing home discharges increased by only 0.4 percentage points. Growth and aging of the US population only partially explain the increase we observed in the incidence of ARF, as age‐ and sex‐adjusted population rates increased by 56% from 2001 to 2009. In addition, the NIS captures data on hospital discharges and not individual patients; thus, a patient may have had multiple admissions. Over the last decade adoption of a more intensive practice style has been associated with improved in‐hospital mortality,[33, 34] and although these patients may be living longer they may have multiple readmissions.[35, 36]
We also observed that older patients were less likely to be treated with IMV, had a higher mortality rate, and less expensive care. These results are consistent with other studies and suggest that the intensity of treatment decreases with increasing age, and decisions to withhold or withdraw life‐supporting treatments are more frequent in the elderly.[26, 37] Prior research has shown that severity of illness is more important than age on patients' prognosis,[38, 39] and aggressive treatment strategies are not less cost‐effective when provided to older patients.[40]
Another important finding of this study is the marked increase in the use of NIV paired with a modest reduction in the use of IMV in the treatment of patients with ARF. This finding adds to evidence from other studies, which have similarly reported a dramatic increase in the use of NIV and a decrease in the use of IMV in patients with COPD as well as in ARF of other etiologies.[30, 41]
Our work has several limitations. First, we identified ARF based on ICD‐9‐CM codes and therefore cannot exclude disease misclassification. We did not find any studies in the literature addressing the accuracy and the completeness of ARF coding. However, we employed the same codes used to define ARF as has been used to define organ dysfunction in studies of severe sepsis,[17, 20] and the ICD‐9‐CM codes that we used to identify cases of ARDS have been used in prior studies.[11, 22, 23] Another limitation is that it is not clear to what extent the trends we observed may be due to changes over time in documentation and coding practices. Although this should be considered given the additional reimbursement associated with the diagnosis of ARF, our observation that rates of assisted ventilation have remained almost flat over the 9‐year period of the study suggest that would not wholly account for the rise in ARF. Second, because we did not have access to physiological data such as results of blood gas testing, we could not determine whether the threshold for applying the diagnosis of ARF or for delivering ventilatory support has changed over time. Third, for the purpose of this study we employed a broad definition of ARF, not limiting cases to those requiring mechanical ventilation, and this led to a more heterogeneous cohort including less severe cases of ARF. However, this is not dissimilar to the heterogeneity in disease severity observed among patients who receive a diagnosis of heart failure or acute renal failure. Fourth, survivors of ARF remain at high risk of death in the months after hospitalization,[42] but we assessed only in‐hospital mortality. It is possible that although in‐hospital mortality has improved, 30‐day mortality remained stable. Finally, as the NIS contains only discharge‐level data, we could not distinguish between patients admitted for ARF from those who developed ARF (potentially iatrogenic) after admission.
In summary, over the period of 2001 to 2009, there was a large increase in the number of patients given a diagnosis of ARF and a concomitant reduction in inpatient mortality. Although rates of mechanical ventilation remained relatively constant, there was a significant shift toward greater use of NIV at the expense of IMV.
Disclosures
Dr. Stefan is supported by KM1 CA156726 from the National Cancer Institute (NCI) and by the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health (NIH), through grant UL1 RR025752. The work on this study was supported by a Charlton grant from Tufts University School of Medicine. Dr. Lindenauer and Dr. Pekow are supported by 1R18HL108810‐01 from the National Heart, Lung, and Blood Institute (NHLBI). The content of this publication is solely the responsibility of the authors and does not represent the official views of the NIH, NHLBI, or NCI.
All authors have read and approved the manuscript and none of them have any potential conflicts of interest to report.
Dr. Stefan had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Conception and design: Mihaela S. Stefan, Penelope S. Pekow, Michael B. Rothberg, Jay Steingrub, Peter K. Lindenauer; analysis and interpretation: Meng‐Shiou Shieh, Mihaela S. Stefan, Penelope S. Pekow, Michael B. Rothberg, Tara Lagu, Peter K. Lindenauer; drafting the manuscript for important intellectual content: Mihaela S. Stefan, Penelope S. Pekow, Michael B. Rothberg, Jay Steingrub, Tara Lagu, and Peter K. Lindenauer.
Acute respiratory failure (ARF), a common and serious complication in hospitalized patients, may be caused by several conditions including pneumonia, chronic obstructive pulmonary disease (COPD), adult respiratory distress syndrome (ARDS), and congestive heart failure (CHF). Although ARF is conventionally defined by an arterial oxygen tension of <60 mm Hg, an arterial carbon dioxide tension of >45 mm Hg, or both, these thresholds serve as a guide to be used in combination with history and clinical assessment of the patient.[1, 2] Supplemental oxygen and treatment of the underlying cause is the mainstay of therapy for ARF, but in severe cases patients are treated with invasive mechanical ventilation (IMV) or noninvasive ventilation (NIV). ARF is the most frequent reason for admission to the intensive care unit (ICU)[3, 4] and has an in‐hospital mortality rate of 33% to 37% among those who require IMV.[5, 6] The majority of epidemiologic studies of ARF have been limited to patients requiring mechanical ventilation or those admitted to the ICU, and information about the characteristics and outcomes of patients across the full spectrum of severity is much more limited.[5, 7, 8, 9, 10, 11] General improvements in the management of underlying conditions, implementation of more effective ventilation strategies,[12, 13] and increasing use of NIV[14, 15] may have led to better outcomes for patients with ARF, yet empirical evidence of a change in the adjusted mortality rate over time is lacking.
The objective of this study was to provide a broad characterization of the epidemiology of ARF among adults hospitalized in the United States using a large nationally representative database. We sought to evaluate whether incidence, mortality, cost, or ventilation practice associated with ARF in the United States changed over the period of 2001 to 2009.
METHODS
Data Source
We utilized data from the Nationwide Inpatient Sample (NIS) of the Health Care Cost and Utilization Project,[16] which is a 20% stratified probability sample of all US acute‐care hospitals each year. These data are drawn from a sampling frame that contains close to 95% of all discharges in the United States, with the hospital discharge record as the unit of analysis. The NIS has been used to study trends in many different diagnoses.[17, 18, 19] The database contains demographic information, payer information, principal and secondary diagnoses, cost, discharge disposition, and death during hospitalization. It also contains information on hospital characteristics including ownership, size, teaching status, and geographic region.
Definitions
We included patients 18 years old discharged between 2001 and 2009 with a primary or secondary diagnosis of ARF. We identified cases of ARF using diagnostic codes (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD‐9‐CM]) previously used in studies of acute organ dysfunction in sepsis (518.81, 518.82, 518.84, 518.4, 799.1, 786.09).[17, 20, 21] To define ARDS we relied on ICD‐9‐CM codes (518.4, 518.82, 518.5, 786.09) used in prior studies that showed good sensitivity and specificity.[22, 23] The use of ventilatory support was identified using the ICD‐9‐CM procedure codes[24] (93.90, 93.70, 93.71, 93.76). Comorbidities were classified using the Agency for Healthcare Research and Quality's (Rockville, MD) Healthcare Cost and Utilization Project's (HCUP) Comorbidity Software version 3.103.5.[25]
Outcomes
The primary outcomes included the annual number of hospitalizations, population incidence, hospital mortality, and costs of care. Secondary outcomes included length of stay, most common diagnoses associated with ARF, disposition at discharge, and use and type of ventilatory support.
Analysis
We estimated the number of hospitalizations with a diagnosis of ARF/year, and we calculated the weighted frequencies following HCUP‐NIS recommendations using SAS/STAT survey procedures. Using population estimates for the years 2001 to 2009 from the US Census Bureau, we employed direct standardization to calculate age‐, gender‐, and race‐adjusted population incidence and mortality rates of ARF per 100,000 population. Hospital mortality was defined as the ratio of ARF hospitalizations ending in death divided by total number of ARF hospitalizations. Mechanical ventilation rates and rates of selected comorbidities were similarly defined.
We employed indirect standardization to adjust hospital mortality rates for age, sex, race/ethnicity, comorbidities, and hospital characteristics using logistic regression models from 2001 to predict hospital mortality for 2002 to 2009. We used linear regression models to test whether the slope of year was significant for trends in outcomes overtime. Costs were calculated using hospital‐specific cost‐to‐charge ratios when available and a weighted group average at the state level for remaining hospitals. We converted all costs to 2009 US dollars using the Consumer Price Index. Costs and lengths of stay were not normally distributed, so we calculated weighted geometric means (the average of all logarithmic values), then converted back to a base‐10 number. Using a Taylor series expansion, we then calculated standard errors. All analyses were performed using SAS version 9.2 (SAS Institute, Inc., Cary, NC).
The Baystate Medical Center institutional review board determined that the project did not constitute human subjects research.
RESULTS
Hospitalization Trends
The number of hospitalizations with an ARF diagnosis code increased at an average annual rate of 11.3% from 1,007,549 (standard deviation [SD] = 19,268) in 2001 to 1,917,910 (SD = 47,558) in 2009. More than two‐thirds of ARF admissions were associated with medical, rather than surgical, conditions (69.5% in 2001 and 71.2% in 2009). The median age, racial make‐up, and gender did not change significantly. Over the study period we observed an increase in ARF‐related hospitalizations in large, urban, teaching hospitals and in hospitals located in the Midwest (Table 1).
| 2001 | 2003 | 2005 | 2007 | 2009 | |
|---|---|---|---|---|---|
| |||||
| Patient characteristics | |||||
| All, N (SD) | 1,007,549 (19,268) | 1,184,928 (25,542) | 1,288,594 (30,493) | 1,480,270 (32,002) | 1,917,910 (47,558) |
| Age, mean (SE), y | 66.6 (0.2) | 66.0 (0.2) | 66.1 (0.2) | 65.8 (0.2) | 65.8 (0.2) |
| Age group, % | |||||
| 1844 | 11.5 | 12.0 | 11.5 | 11.6 | 10.9 |
| 4564* | 26.7 | 28.9 | 29.6 | 30.7 | 31.7 |
| 6584* | 50.2 | 47.8 | 47.0 | 45.7 | 45.3 |
| 85+ | 11.5 | 11.4 | 11.9 | 12.0 | 12.1 |
| Male* | 48.1 | 48.2 | 48.6 | 49.3 | 49.2 |
| Race | |||||
| White | 75.8 | 71.9 | 76.5 | 71.8 | 73.4 |
| Black | 12.7 | 13.6 | 11.2 | 14.2 | 12.5 |
| Hispanic | 7.2 | 9.8 | 7.7 | 8.5 | 7.8 |
| Other | 4.2 | 4.7 | 4.7 | 5.5 | 6.3 |
| Primary ARF | 20.7 | 20.9 | 25.9 | 26.1 | 19.9 |
| Secondary ARF | 79.3 | 79.1 | 74.1 | 73.9 | 80.1 |
| Medical* | 69.5 | 69.1 | 69.9 | 70.2 | 71.2 |
| Surgical* | 30.5 | 30.8 | 30.1 | 29.8 | 28.8 |
| Hospital characteristics, % | |||||
| Number of beds | |||||
| Small | 10.0 | 10.1 | 10.5 | 10.8 | 11.3 |
| Medium | 25.2 | 25.3 | 24.6 | 24.0 | 22.7 |
| Large | 64.7 | 64.6 | 64.9 | 65.2 | 66.0 |
| Region | |||||
| South* | 18.5 | 18.5 | 17.6 | 17.0 | 16.3 |
| Midwest | 21.4 | 22.0 | 23.6 | 23.2 | 23.5 |
| Northeast | 42.6 | 41.7 | 41.4 | 42.2 | 42.1 |
| West* | 17.5 | 17.8 | 17.3 | 17.6 | 18.1 |
| Hospital type | |||||
| Rural | 13.6 | 13.0 | 11.8 | 11.0 | 10.8 |
| Urban nonteaching | 45.5 | 44.5 | 50.1 | 45.3 | 45.7 |
| Urban teaching | 40.9 | 42.5 | 38.1 | 43.7 | 43.6 |
| Patient outcomes | |||||
| Ventilation strategy | |||||
| IMV* | 48.5 | 48.4 | 47.5 | 46.5 | 42.1 |
| NIV* | 3.8 | 5.3 | 6.9 | 9.4 | 10.1 |
| IMV or NIV | 50.9 | 51.7 | 52.1 | 52.9 | 49.7 |
| Disposition | |||||
| Home/home healthcare* | 42.1 | 43.8 | 42.8 | 43.4 | 45.7 |
| Transfer to acute care | 5.2 | 4.7 | 4.6 | 4.6 | 4.4 |
| Nursing facility* | 24.4 | 24.9 | 27.4 | 28.6 | 29.0 |
| Other | 0.7 | 0.8 | 0.9 | 0.9 | 1.0 |
| Adjusted mortality, % (SE)* | 27.6 (0.3) | 26.4 (0.4) | 24.9 (0.4) | 22.7 (0.4) | 20.6 (0.3) |
| Adjusted mean, LOS/case, d (SE)* | 7.8 (0.1) | 7.9 (0.1) | 7.7 (0.1) | 7.5 (0.1) | 7.1 (0.1) |
| Adjusted mean cost/case, 2009 US$, (SE) | 15,818 (251) | 16,981 (419) | 17,236 (411) | 16,941 (436) | 15,987 (402) |
After adjusting for age and sex, the population incidence of ARF increased from 502 (standard error [SE] = 10) cases per 100,000 in 2001 to 784 (SE = 19) cases per 100,000 in 2009 (a 56% increase, P < 0.0001). Hispanics had the lowest rates of ARF, with both black and white groups having similar rates (Table 2).
| 2001 | 2003 | 2005 | 2007 | 2009 | |
|---|---|---|---|---|---|
| |||||
| All* | 502 (10) | 569 (12) | 595 (14) | 627 (14) | 784 (19) |
| Age group | |||||
| 1844* | 107 (3) | 130 (4) | 137 (4) | 153 (5) | 189 (6) |
| 4564* | 422 (9) | 500 (12) | 521 (13) | 580 (14) | 739 (19) |
| 6584* | 1697 (35) | 1863 (42) | 1950 (50) | 2066 (46) | 2578 (69) |
| 85+ | 3449 (86) | 3792 (106) | 3981 (120) | 3429 (97) | 4163 (123) |
| Sex | |||||
| Male* | 491 (10) | 553 (13) | 582 (14) | 629 (14) | 782 (20) |
| Female* | 512 (10) | 583 (12) | 607 (15) | 625 (13) | 786 (19) |
| Race/ethnicity | |||||
| White* | 398 (11) | 427 (12) | 466 (16) | 450 (13) | 699 (21) |
| Black* | 423 (27) | 513 (33) | 432 (26) | 574 (38) | 738 (37) |
| Hispanic* | 247 (24) | 381 (42) | 307 (27) | 353 (34) | 478 (42) |
| Other* | 268 (20) | 342 (29) | 347 (26) | 424 (29) | 713 (77) |
| In‐hospital mortality | 140 (3) | 148 (3) | 146 (3) | 140 (3) | 154 (4) |
The most common etiologies of ARF among medical patients were pneumonia, CHF, ARDS, COPD exacerbation, and sepsis. Over the 9‐year study, the proportion of cases secondary to pneumonia and sepsis rose significantly: from 39% to 46% and 13% to 21%, respectively (Figure 1).
Mortality and Other Outcomes
The number of in‐hospital deaths related to ARF increased from 277,407 deaths in 2001 to 381,155 in 2009 (a 37% increase, P < 0.001). Standardized to the population, deaths increased from 140 in 2001 to 154 cases per 100,000 in 2009 (a 10% increase, P = 0.027). Despite slightly increasing mortality rates at a population level, adjusted in‐hospital mortality improved from 27.6% in 2001 to 20.6% in 2009 (P < 0.001). Mortality declined for both IMV and NIV patients from 35.3% in 2001 to 30.2% in 2009 and from 23.5% to 19%, respectively, but increased for those who required both NIV and IMV (from 26.9% in 2001 to 28% in 2009).
Adjusted hospital length of stay decreased from 7.8 days per patient in 2001 to 7.1 days in 2009 (P < 0.001), with a concomitant increase in discharges to nursing facilities, from 24% in 2001 to 29% in 2009. There was no linear trend in adjusted cost per case, with $15,818 in 2001 and $15,987 in 2009 (in 2009 US dollars) (Table 1).
Ventilation Practices
Overall, 50.9% patients received ventilatory support (NIV or IMV or both) in 2001 and 49.7% in 2009 (P= 0.25). The use of NIV increased from 3.8% to 10.1% (P < 0.001), a 169% increase, whereas the utilization of IMV decreased from 48.5% in 2001 to 42.1% in 2009 (P for trend < 0.0001), a 13% decrease. Uses of both NIV and IMV during hospitalization were seen in 1.4% of cases in 2001 and 2.5% of cases in 2009.
2009 Data Analysis
In 2009 the 1,917,910 hospitalizations with ARF resulted in 381,155 (SD = 8965) deaths and a total inpatient cost of $54 billion. The most common etiologies in patients over 65 years old were pneumonia, CHF, COPD, ARDS, and sepsis. In patients younger than 45 years the most frequent diagnoses were pneumonia, ARDS, sepsis, asthma, drug ingestion, and trauma. Stratified analysis by gender and by age groups showed that mortality rates among men were higher than for women and were highest in patients older than 85 years (Table 3).
| Disease | Total | Age <45 Years | 4565 Years | 6584 Years | 85+ Years | Male | Female |
|---|---|---|---|---|---|---|---|
| |||||||
| Medical | |||||||
| Total, N (%) | 1,364,624 (71.2) | 144,715 (10.6) | 416,922 (30.6) | 615,009 (45.1) | 187,977 (13.8) | 647,894 (47.5) | 716,635 (52.5) |
| Pneumonia, %* | 46.1 | 41.7 | 42.8 | 46.9 | 54.3 | 48.8 | 43.7 |
| CHF, %* | 36.6 | 10.4 | 27.3 | 43.6 | 54.8 | 35.0 | 38.1 |
| ARDS, %* | 16.1 | 22.9 | 16.2 | 14.5 | 15.9 | 15.5 | 16.7 |
| Sepsis, %* | 21.2 | 18.1 | 21.3 | 21.3 | 23.1 | 22.8 | 19.8 |
| COPD, %* | 25.4 | 4.2 | 25.6 | 32.3 | 18.3 | 25.0 | 25.7 |
| AMI, %* | 9.0 | 2.6 | 7.1 | 10.5 | 13.3 | 9.3 | 8.8 |
| Asthma, %* | 9.2 | 18.1 | 11.6 | 6.7 | 5.4 | 6.2 | 12.0 |
| Stroke, %* | 4.8 | 2.3 | 4.1 | 5.5 | 6.0 | 5.0 | 4.7 |
| Trauma or burns, %* | 3.4 | 5.4 | 2.9 | 3.0 | 4.1 | 4.3 | 2.5 |
| Cardiorespiratory arrest, %* | 4.1 | 3.9 | 4.4 | 4.1 | 3.8 | 4.6 | 3.7 |
| Drug, %* | 3.7 | 16.6 | 5.1 | 0.8 | 0.3 | 3.8 | 3.6 |
| IMV, %* | 37.7 | 54.6 | 43.7 | 33.5 | 24.8 | 41.1 | 34.5 |
| NIV, %* | 11.9 | 7.1 | 11.5 | 13.0 | 12.7 | 11.4 | 12.3 |
| In‐hospital mortality (CI) | 22 (21.322.7) | 12.9 (11.913.9) | 18.5 (17.619.4) | 23.9 (23.024.9) | 31.8 (30.633.1) | 24.2 (23.325.1) | 20.9 (20.121.7) |
| Surgical | |||||||
| Total, N (%) | 552971 (28.8) | 64983 (11.8) | 190225 (34.4) | 254336 (46) | 43426 (7.9) | 295660 (53.5) | 257287 (46.5) |
| Pneumonia, %* | 34.9 | 33.0 | 34.0 | 35.0 | 40.5 | 37.1 | 32.2 |
| CHF, %* | 27.2 | 8.9 | 21.7 | 33.3 | 42.6 | 26.7 | 27.7 |
| ARDS, %* | 45.5 | 51.5 | 45.2 | 44.7 | 42.7 | 45.0 | 46.1 |
| Sepsis, %* | 25.1 | 22.8 | 25.4 | 25.2 | 26.1 | 25.4 | 24.7 |
| COPD, %* | 8.2 | 1.1 | 7.4 | 10.8 | 7.5 | 8.3 | 8.1 |
| AMI, %* | 16.9 | 4.9 | 17.0 | 19.8 | 17.9 | 19.1 | 14.4 |
| Asthma, %* | 6.1 | 7.6 | 7.2 | 5.4 | 3.6 | 4.1 | 8.5 |
| Stroke, %* | 8.9 | 6.6 | 9.2 | 9.4 | 7.2 | 8.9 | 8.8 |
| Trauma or burns, %* | 12.2 | 26.5 | 9.6 | 9.2 | 20.3 | 13.8 | 10.4 |
| Cardiorespiratory arrest, %* | 5.5 | 4.4 | 6.0 | 5.4 | 5.2 | 6.1 | 4.7 |
| Drug, %* | 0.5 | 1.3 | 0.7 | 0.2 | 0.2 | 0.4 | 0.6 |
| IMV, %* | 52.9 | 57.1 | 54.3 | 51.3 | 50.0 | 54.5 | 51.0 |
| NIV, %* | 5.8 | 3.5 | 5.5 | 6.4 | 6.4 | 5.6 | 6.0 |
| In‐hospital mortality, % (CI) | 18.6 (17.819.5) | 10.7 (9.312.0) | 15.5 (14.216.8) | 20.8 (19.821.9) | 29.4 (27.831.1) | 19.0 (18.219.8) | 18.3 (17.319.2) |
When we examined ventilation practices among medical patients we found that patients older than 85 years, when compared to patients younger than 45 years, were less likely to be treated with IMV (25% vs 55%) and more likely to be treated with NIV (12.7% vs 7%). At the same time, the average cost per case was lowest among patients 85 years and older, and hospital costs per case fell sharply after age 70 years. Costs were considerably higher for those who did not survive during hospitalization, particularly for patients younger than 45 years (Figure 2).
DISCUSSION
In this large population‐based study, we found that the number of hospitalizations associated with a diagnosis of ARF almost doubled over a 9‐year period. In 2009 there were nearly 2 million hospitalizations with ARF in the United States, resulting in approximately 380,000 deaths and inpatient costs of over $54 billion. The population‐adjusted ARF hospitalization rates increased in all age groups, and patients 85 years and older had the highest age‐specific hospitalization rate. Although overall rates of mechanical ventilation (NIV or IMV) remained stable over the 9‐year period, there was an important shift away from IMV (which decreased from 48% in 2001 to 42% in 2009) toward NIV (which increased from 4% in 2001 to 10% in 2009). Overall, there was a significant increase in the number of total deaths despite a decline in adjusted in‐hospital mortality rates. In‐hospital mortality rates decreased for all cases of ARF regardless of ventilation choice.
The findings of this study mirror results of others that have shown that although the incidence of critical care illnesses like sepsis[17, 20, 21, 26] and acute renal failure[27] has increased over the last decade, in‐hospital mortality rates have decreased.[20, 21, 28] Our results also compliment the results of a recent study that looked at hospitalizations for noncardiogenic ARF, which observed a 3.7‐fold increase in the number of cases and a steady decline in case fatality.[11]
Most prior studies addressing the incidence of ARF have included only patients receiving mechanical ventilation. In 1994, the estimated number of cases of ARF requiring IMV was 329,766,[9] which increased to 790,257 in 2005.[10] In our study we found that in 2009, the number of patients with ARF hospitalizations with IMV increased to 806,538. The increase in the overall number of cases with ARF was mainly driven by a surge in cases of sepsis and pneumonia. Our findings are consistent with national trends over time in noncardiogenic ARF[11] and in conditions that predispose patients to ARF such as sepsis[17, 20, 28] and acute renal failure.[27] As the number of claims for ARF doubled and the number of deaths increased, we found that adjusted hospital mortality improved from 27.6% in 2001 to 20.6% in 2009. This decline in hospital mortality was observed among all patients groups, regardless of ventilation choice. The decline in overall case fatality is consistent with prior findings in noncardiogenic ARF,[11] sepsis,[17, 28] and CHF.[29]
There are a number of potential explanations for the reduction in mortality observed over the study period, including improvements in hospital management of the underlying conditions leading to ARF, an increase in the proportion of patients being treated with NIV,[30] and advances in the care of critically ill patients such as the use of low‐tidal volume ventilation.[31, 32] Another contributor may be an increase in the proportion of discharges to nursing facilities, although this change in discharge disposition cannot fully explain our findings. For example, from 2007 to 2009, mortality decreased by 2 percentage points, and nursing home discharges increased by only 0.4 percentage points. Growth and aging of the US population only partially explain the increase we observed in the incidence of ARF, as age‐ and sex‐adjusted population rates increased by 56% from 2001 to 2009. In addition, the NIS captures data on hospital discharges and not individual patients; thus, a patient may have had multiple admissions. Over the last decade adoption of a more intensive practice style has been associated with improved in‐hospital mortality,[33, 34] and although these patients may be living longer they may have multiple readmissions.[35, 36]
We also observed that older patients were less likely to be treated with IMV, had a higher mortality rate, and less expensive care. These results are consistent with other studies and suggest that the intensity of treatment decreases with increasing age, and decisions to withhold or withdraw life‐supporting treatments are more frequent in the elderly.[26, 37] Prior research has shown that severity of illness is more important than age on patients' prognosis,[38, 39] and aggressive treatment strategies are not less cost‐effective when provided to older patients.[40]
Another important finding of this study is the marked increase in the use of NIV paired with a modest reduction in the use of IMV in the treatment of patients with ARF. This finding adds to evidence from other studies, which have similarly reported a dramatic increase in the use of NIV and a decrease in the use of IMV in patients with COPD as well as in ARF of other etiologies.[30, 41]
Our work has several limitations. First, we identified ARF based on ICD‐9‐CM codes and therefore cannot exclude disease misclassification. We did not find any studies in the literature addressing the accuracy and the completeness of ARF coding. However, we employed the same codes used to define ARF as has been used to define organ dysfunction in studies of severe sepsis,[17, 20] and the ICD‐9‐CM codes that we used to identify cases of ARDS have been used in prior studies.[11, 22, 23] Another limitation is that it is not clear to what extent the trends we observed may be due to changes over time in documentation and coding practices. Although this should be considered given the additional reimbursement associated with the diagnosis of ARF, our observation that rates of assisted ventilation have remained almost flat over the 9‐year period of the study suggest that would not wholly account for the rise in ARF. Second, because we did not have access to physiological data such as results of blood gas testing, we could not determine whether the threshold for applying the diagnosis of ARF or for delivering ventilatory support has changed over time. Third, for the purpose of this study we employed a broad definition of ARF, not limiting cases to those requiring mechanical ventilation, and this led to a more heterogeneous cohort including less severe cases of ARF. However, this is not dissimilar to the heterogeneity in disease severity observed among patients who receive a diagnosis of heart failure or acute renal failure. Fourth, survivors of ARF remain at high risk of death in the months after hospitalization,[42] but we assessed only in‐hospital mortality. It is possible that although in‐hospital mortality has improved, 30‐day mortality remained stable. Finally, as the NIS contains only discharge‐level data, we could not distinguish between patients admitted for ARF from those who developed ARF (potentially iatrogenic) after admission.
In summary, over the period of 2001 to 2009, there was a large increase in the number of patients given a diagnosis of ARF and a concomitant reduction in inpatient mortality. Although rates of mechanical ventilation remained relatively constant, there was a significant shift toward greater use of NIV at the expense of IMV.
Disclosures
Dr. Stefan is supported by KM1 CA156726 from the National Cancer Institute (NCI) and by the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health (NIH), through grant UL1 RR025752. The work on this study was supported by a Charlton grant from Tufts University School of Medicine. Dr. Lindenauer and Dr. Pekow are supported by 1R18HL108810‐01 from the National Heart, Lung, and Blood Institute (NHLBI). The content of this publication is solely the responsibility of the authors and does not represent the official views of the NIH, NHLBI, or NCI.
All authors have read and approved the manuscript and none of them have any potential conflicts of interest to report.
Dr. Stefan had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Conception and design: Mihaela S. Stefan, Penelope S. Pekow, Michael B. Rothberg, Jay Steingrub, Peter K. Lindenauer; analysis and interpretation: Meng‐Shiou Shieh, Mihaela S. Stefan, Penelope S. Pekow, Michael B. Rothberg, Tara Lagu, Peter K. Lindenauer; drafting the manuscript for important intellectual content: Mihaela S. Stefan, Penelope S. Pekow, Michael B. Rothberg, Jay Steingrub, Tara Lagu, and Peter K. Lindenauer.
- , . Goldman's Cecil Medicine. 24th ed. Amsterdam, the Netherlands: Elsevier Inc.; 2012.
- , . Textbook of Respiratory Medicine. 5th ed. Philadelphia, PA: Saunders; 2010.
- , , . Epidemiology and outcome of acute respiratory failure in intensive care unit patients. Crit Care Med. 2003;31(4 suppl):S296–S299.
- , , , et al. Epidemiology of critical care syndromes, organ failures, and life‐support interventions in a suburban US community. Chest. 2011;140(6):1447–1455.
- , , , , . The changing epidemiology of mechanical ventilation: a population‐based study. J Intensive Care Med. 2006;21(3):173–182.
- , , , , . Mechanical ventilation in Ontario, 1992–2000: incidence, survival, and hospital bed utilization of noncardiac surgery adult patients. Crit Care Med. 2004;32(7):1504–1509.
- . Contributions to the epidemiology of acute respiratory failure. Crit Care. 2003;7(4):288–290.
- , , , et al. Incidence, severity, and mortality of acute respiratory failure in Berlin, Germany. Am J Respir Crit Care Med. 1995;151(4):1121–1125.
- . Acute respiratory failure in the United States: incidence and 31‐day survival. Chest. 2000;118(4):1100–1105.
- , , , , , . The epidemiology of mechanical ventilation use in the United States. Crit Care Med. 2010;38(10):1947–1953.
- , , , . Trends in the incidence of noncardiogenic acute respiratory failure: the role of race. Crit Care Med. 2012;40(5):1532–1538.
- , , , , . Secular trends in nosocomial infections and mortality associated with noninvasive ventilation in patients with exacerbation of COPD and pulmonary edema. JAMA. 2003;290(22):2985–2991.
- , , , et al. Association of noninvasive ventilation with nosocomial infections and survival in critically ill patients. JAMA. 2000;284(18):2361–2367.
- , , , , . Noninvasive versus conventional mechanical ventilation. An epidemiologic survey. Am J Respir Crit Care Med. 2001;163(4):874–880.
- , , , , , . Does noninvasive ventilation reduce the ICU nosocomial infection risk? A prospective clinical survey. Intensive Care Med. 1999;25(6):567–573.
- Heathcare Cost and Utilization Project (HCUP). Overview of the Nationwide Inpatient Sample. Available at: http://www.hcup‐us.ahrq.gov/nisoverview.jsp. Accessed December 6, 2011.
- , , , , , . Hospitalizations, costs, and outcomes of severe sepsis in the United States 2003 to 2007. Crit Care Med. 2011;40(3):754–761.
- , , , , . Association of diagnostic coding with trends in hospitalizations and mortality of patients with pneumonia, 2003–2009. JAMA. 2012;307(13):1405–1413.
- , , , , . Little evidence of correlation between growth in health care spending and reduced mortality. Health Aff (Millwood). 2010;29(8):1523–1531.
- , , , . The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med. 2003;348(16):1546–1554.
- , , , . Rapid increase in hospitalization and mortality rates for severe sepsis in the United States: a trend analysis from 1993 to 2003. Crit Care Med. 2007;35(5):1244–1250.
- , , . Risk factors for ARDS in the United States: analysis of the 1993 National Mortality Followback Study. Chest. 2001;119(4):1179–1184.
- , , , , , . Acute respiratory distress syndrome: estimated incidence and mortality rate in a 5 million‐person population base. Crit Care. 1998;2(1):29–34.
- , , . Validity of procedure codes in International Classification of Diseases, 9th Revision, Clinical Modification administrative data. Med Care. 2004;42(8):801–809.
- , , , . Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27.
- , . Epidemiology of sepsis: an update. Crit Care Med. 2001;29(7 suppl):S109–S116.
- , , , , , . Epidemiology and outcomes of acute renal failure in hospitalized patients: a national survey. Clin J Am Soc Nephrol. 2006;1(1):43–51.
- , , , . Facing the challenge: decreasing case fatality rates in severe sepsis despite increasing hospitalizations. Crit Care Med. 2005;33(11):2555–2562.
- , , , . National and regional trends in heart failure hospitalization and mortality rates for Medicare beneficiaries,1998–2008. JAMA. 2011;306(15):1669–1678.
- , , , et al. Outcomes of noninvasive ventilation for acute exacerbations of chronic obstructive pulmonary disease in the United States, 1998–2008. Am J Respir Crit Care Med. 2011;185(2):152–159.
- , , , et al. A trial of goal‐oriented hemodynamic therapy in critically ill patients. SvO2 Collaborative Group. N Engl J Med. 1995;333(16):1025–1032.
- , . Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury. N Engl J Med. 2000;343(11):813; author reply 813–814.
- , , . Short‐ and long‐term survival of nonsurgical intensive care patients and its relation to diagnosis, severity of disease, age and comorbidities. Curr Aging Sci. 2009;2(3):240–248.
- , , , , , . The impact of COPD on management and outcomes of patients hospitalized with acute myocardial infarction—a ten‐year retrospective observational study. Chest. 2012;141(6):1441–1448.
- . The paradox of health. N Engl J Med. 1988;318(7):414–418.
- , , . Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360(14):1418–1428.
- , , , et al. Outcomes and cost‐effectiveness of ventilator support and aggressive care for patients with acute respiratory failure due to pneumonia or acute respiratory distress syndrome. Am J Med. 2000;109(8):614–620.
- , , , et al. Older age, aggressiveness of care, and survival for seriously ill, hospitalized adults. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. Ann Intern Med. 1999;131(10):721–728.
- , , , et al. Patient age and decisions to withhold life‐sustaining treatments from seriously ill, hospitalized adults. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment. Ann Intern Med. 1999;130(2):116–125.
- , , , et al. Are aggressive treatment strategies less cost‐effective for older patients? The case of ventilator support and aggressive care for patients with acute respiratory failure. J Am Geriatr Soc. 2001;49(4):382–390.
- , . Utilization of non‐invasive ventilation in patients with acute respiratory failure from 2000–2009: a population‐based study. Am J Respir Crit Care Med. 2012;185:A6488.
- , , , et al. One‐year outcomes in survivors of the acute respiratory distress syndrome. N Engl J Med. 2003;348(8):683–693.
- , . Goldman's Cecil Medicine. 24th ed. Amsterdam, the Netherlands: Elsevier Inc.; 2012.
- , . Textbook of Respiratory Medicine. 5th ed. Philadelphia, PA: Saunders; 2010.
- , , . Epidemiology and outcome of acute respiratory failure in intensive care unit patients. Crit Care Med. 2003;31(4 suppl):S296–S299.
- , , , et al. Epidemiology of critical care syndromes, organ failures, and life‐support interventions in a suburban US community. Chest. 2011;140(6):1447–1455.
- , , , , . The changing epidemiology of mechanical ventilation: a population‐based study. J Intensive Care Med. 2006;21(3):173–182.
- , , , , . Mechanical ventilation in Ontario, 1992–2000: incidence, survival, and hospital bed utilization of noncardiac surgery adult patients. Crit Care Med. 2004;32(7):1504–1509.
- . Contributions to the epidemiology of acute respiratory failure. Crit Care. 2003;7(4):288–290.
- , , , et al. Incidence, severity, and mortality of acute respiratory failure in Berlin, Germany. Am J Respir Crit Care Med. 1995;151(4):1121–1125.
- . Acute respiratory failure in the United States: incidence and 31‐day survival. Chest. 2000;118(4):1100–1105.
- , , , , , . The epidemiology of mechanical ventilation use in the United States. Crit Care Med. 2010;38(10):1947–1953.
- , , , . Trends in the incidence of noncardiogenic acute respiratory failure: the role of race. Crit Care Med. 2012;40(5):1532–1538.
- , , , , . Secular trends in nosocomial infections and mortality associated with noninvasive ventilation in patients with exacerbation of COPD and pulmonary edema. JAMA. 2003;290(22):2985–2991.
- , , , et al. Association of noninvasive ventilation with nosocomial infections and survival in critically ill patients. JAMA. 2000;284(18):2361–2367.
- , , , , . Noninvasive versus conventional mechanical ventilation. An epidemiologic survey. Am J Respir Crit Care Med. 2001;163(4):874–880.
- , , , , , . Does noninvasive ventilation reduce the ICU nosocomial infection risk? A prospective clinical survey. Intensive Care Med. 1999;25(6):567–573.
- Heathcare Cost and Utilization Project (HCUP). Overview of the Nationwide Inpatient Sample. Available at: http://www.hcup‐us.ahrq.gov/nisoverview.jsp. Accessed December 6, 2011.
- , , , , , . Hospitalizations, costs, and outcomes of severe sepsis in the United States 2003 to 2007. Crit Care Med. 2011;40(3):754–761.
- , , , , . Association of diagnostic coding with trends in hospitalizations and mortality of patients with pneumonia, 2003–2009. JAMA. 2012;307(13):1405–1413.
- , , , , . Little evidence of correlation between growth in health care spending and reduced mortality. Health Aff (Millwood). 2010;29(8):1523–1531.
- , , , . The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med. 2003;348(16):1546–1554.
- , , , . Rapid increase in hospitalization and mortality rates for severe sepsis in the United States: a trend analysis from 1993 to 2003. Crit Care Med. 2007;35(5):1244–1250.
- , , . Risk factors for ARDS in the United States: analysis of the 1993 National Mortality Followback Study. Chest. 2001;119(4):1179–1184.
- , , , , , . Acute respiratory distress syndrome: estimated incidence and mortality rate in a 5 million‐person population base. Crit Care. 1998;2(1):29–34.
- , , . Validity of procedure codes in International Classification of Diseases, 9th Revision, Clinical Modification administrative data. Med Care. 2004;42(8):801–809.
- , , , . Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27.
- , . Epidemiology of sepsis: an update. Crit Care Med. 2001;29(7 suppl):S109–S116.
- , , , , , . Epidemiology and outcomes of acute renal failure in hospitalized patients: a national survey. Clin J Am Soc Nephrol. 2006;1(1):43–51.
- , , , . Facing the challenge: decreasing case fatality rates in severe sepsis despite increasing hospitalizations. Crit Care Med. 2005;33(11):2555–2562.
- , , , . National and regional trends in heart failure hospitalization and mortality rates for Medicare beneficiaries,1998–2008. JAMA. 2011;306(15):1669–1678.
- , , , et al. Outcomes of noninvasive ventilation for acute exacerbations of chronic obstructive pulmonary disease in the United States, 1998–2008. Am J Respir Crit Care Med. 2011;185(2):152–159.
- , , , et al. A trial of goal‐oriented hemodynamic therapy in critically ill patients. SvO2 Collaborative Group. N Engl J Med. 1995;333(16):1025–1032.
- , . Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury. N Engl J Med. 2000;343(11):813; author reply 813–814.
- , , . Short‐ and long‐term survival of nonsurgical intensive care patients and its relation to diagnosis, severity of disease, age and comorbidities. Curr Aging Sci. 2009;2(3):240–248.
- , , , , , . The impact of COPD on management and outcomes of patients hospitalized with acute myocardial infarction—a ten‐year retrospective observational study. Chest. 2012;141(6):1441–1448.
- . The paradox of health. N Engl J Med. 1988;318(7):414–418.
- , , . Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360(14):1418–1428.
- , , , et al. Outcomes and cost‐effectiveness of ventilator support and aggressive care for patients with acute respiratory failure due to pneumonia or acute respiratory distress syndrome. Am J Med. 2000;109(8):614–620.
- , , , et al. Older age, aggressiveness of care, and survival for seriously ill, hospitalized adults. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments. Ann Intern Med. 1999;131(10):721–728.
- , , , et al. Patient age and decisions to withhold life‐sustaining treatments from seriously ill, hospitalized adults. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatment. Ann Intern Med. 1999;130(2):116–125.
- , , , et al. Are aggressive treatment strategies less cost‐effective for older patients? The case of ventilator support and aggressive care for patients with acute respiratory failure. J Am Geriatr Soc. 2001;49(4):382–390.
- , . Utilization of non‐invasive ventilation in patients with acute respiratory failure from 2000–2009: a population‐based study. Am J Respir Crit Care Med. 2012;185:A6488.
- , , , et al. One‐year outcomes in survivors of the acute respiratory distress syndrome. N Engl J Med. 2003;348(8):683–693.
Copyright © 2012 Society of Hospital Medicine
New Strategies to Combat an Old Foe
In the early part of the 20th century, pneumonia was a leading causes of death, particularly among older adults, for whom Osler termed it the Captain of the Men of Death.[1] Mortality rates from severe (bacteremic) pneumonia were typically 80% to 90%, and the introduction of antibacterial therapy in the 1940s reduced that mortality to 10% to 20%. However, as pointed out by Austrian and Gold in a landmark paper in the 1950s, mortality for patients dying within the first 4 to 5 days was not reduced in the postantibiotic era.[2] The survival rates for patients with severe community‐acquired pneumonia minimally improved over the ensuing 50 years, despite the introduction of numerous new antimicrobial drugs and other medical interventions.
One promising area for therapeutic intervention relates to the potential adverse effects of the host inflammatory response in the setting of pneumonia. A growing body of literature supports the conclusion that the window of optimal host response may be relatively narrow. Too little response and patients quickly succumb to overwhelming sepsis. Too much response and a patient's hyperactivated inflammatory system can set off a cascade of secondary events, triggering events such as acute lung injury or ischemic heart disease.[3] Studies have also established that the level of inflammation, as measured by biomarkers such as C‐reactive protein, tumor necrosis factor, and interleukins, can identify patients at increased risk of adverse outcomes.[4] Thus, it is logical to ask whether immune modulating therapies can improve outcomes for these patients.
In this issue of the Journal of Hospital Medicine, Shafiq and colleagues completed a systematic review and meta‐analysis of corticosteroid therapy for patients with pneumonia.[5] Updating prior reviews, they included 8 randomized controlled trials, all of which consisted of low‐dose, systemic, steroid therapy as the intervention and standard care as the control arm. The overall quality of the included studies was judged moderate, and the overall size of the pooled data was only 1119 patients. In their analysis, adjunctive steroid therapy did not reduce in‐hospital mortality, with 4 studies demonstrating effect sizes suggesting benefit, 3 studies demonstrating no benefit or harm, and 1 study favoring the nonsteroid arm. In these situations with grossly heterogeneous study results, it seems prudent to avoid overly interpreting pooled results, even if statistical tests for heterogeneity are nonsignificant. The investigators also reported a range of secondary outcomes, noting that hospital length of stay was significantly reduced in the pooled steroid treated arms.
The overall negative finding is clearly disappointing at a time when clinicians are looking for new treatments to improve outcomes for these patients. Pneumonia is a heterogeneous disorder, representing a wide range of microbial pathogens and underlying host risk factors. Current treatment guidelines for patients with community‐acquired pneumonia are largely empirical and do not focus on pathogen identification, host risk factor analysis, or biomarker distributions to select antimicrobial therapy.[6] In this regard, despite being 1 of the oldest conditions for which we have published guidelines for treatment, the treatment approach for pneumonia remains quite antiquated, ignoring recent advances in the incorporation of personalized treatment strategies for other illnesses. We may have reached the limits of one‐size‐fits‐all treatment strategies for hospitalized adults with community‐acquired pneumonia. To improve outcomes further, we need to understand the heterogeneity of the disorder and tailor therapies at an individual level. Rapid point‐of‐care tests for pathogens and host response offer the most promising approach toward this strategy.
It is notable that the majority of studies focus on in‐hospital mortality, even though the impact of steroid therapy may be observed over a longer period of follow‐up. Moreover, although mortality is clearly a relevant outcome, it is not the only patient‐centered outcome of importance. However, other outcomes that are typically assessed, such as length of hospitalization and cost, are not patient‐centered outcomes. These are process measures that reflect physician judgment as much as any patient response to treatment. We need to move the field forward by embracing patient outcomes beyond mortality to optimally evaluate new treatment strategies, particularly because the majority of patients will survive hospitalization for the illness. These outcomes would include time to resolution of major symptoms, such as cough and fatigue, and functional outcomes, including return to work and usual activities. Future comparative efficacy and effectiveness studies in pneumonia need to consider a much wider range of true patient outcomes.[7]
It is increasingly fashionable to adopt cross‐disease approaches toward optimizing patient care, particularly in the hospital. Important initiatives that aim to reduce hospital injuries and improve transitions of care are relatively agnostic to specific disease states. Much of the research agenda of hospital medicine avoids a disease‐specific focus, assuming such disease‐specific approaches are the domain of specialists. Yet, it is worth remembering that much of the progress for medical care can be traced to traditional considerations of disease pathophysiology and empirical studies of risk factors and treatments for specific disease. Hospitalists remain at the front line in dealing with most of the common illnesses that afflict patients. Battling those conditions 1 at a time should be an important component of the broader hospitalist research agenda. One hundred years after Osler charged the medical community to identify new strategies for treating an old enemy, we are still struggling to win the battle.
Disclosure
This work was supported in part by K24‐AI073957 (JPM) from the National Institute of Allergy and Infectious Diseases, National Institutes of Health. The author has no conflicts of interest to report.
- . The Principles and Practices of Medicine. 7th ed. New York, London: D. Appleton and Co.; 1909.
- , . Pneumococcal bacteremia with special reference to bacteremic pneumococcal pneumonia. Ann Intern Med. 1964;60:759–776.
- , , , et al. Acute bacterial pneumonia is associated with the occurrence of acute coronary syndromes. Medicine (Baltimore). 2009;88(3):154–159.
- , , , et al. Understanding the inflammatory cytokine response in pneumonia and sepsis: results of the Genetic and Inflammatory Markers of Sepsis (GenIMS) Study. Arch Intern Med. 2007;167(15):1655–1663.
- , , , , . Adjuvant steroid therapy in community‐acquired pneumonia: a systematic review and meta‐analysis. J Hosp Med. 2013.
- , , , et al. Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community‐acquired pneumonia in adults. Clin Infect Dis. 2007;44(suppl 2):S27–S72.
- . Reassessing the design, conduct, and analysis of clinical trials of therapy for community‐acquired pneumonia. Clin Infect Dis. 2008;46(8):1152–1156.
In the early part of the 20th century, pneumonia was a leading causes of death, particularly among older adults, for whom Osler termed it the Captain of the Men of Death.[1] Mortality rates from severe (bacteremic) pneumonia were typically 80% to 90%, and the introduction of antibacterial therapy in the 1940s reduced that mortality to 10% to 20%. However, as pointed out by Austrian and Gold in a landmark paper in the 1950s, mortality for patients dying within the first 4 to 5 days was not reduced in the postantibiotic era.[2] The survival rates for patients with severe community‐acquired pneumonia minimally improved over the ensuing 50 years, despite the introduction of numerous new antimicrobial drugs and other medical interventions.
One promising area for therapeutic intervention relates to the potential adverse effects of the host inflammatory response in the setting of pneumonia. A growing body of literature supports the conclusion that the window of optimal host response may be relatively narrow. Too little response and patients quickly succumb to overwhelming sepsis. Too much response and a patient's hyperactivated inflammatory system can set off a cascade of secondary events, triggering events such as acute lung injury or ischemic heart disease.[3] Studies have also established that the level of inflammation, as measured by biomarkers such as C‐reactive protein, tumor necrosis factor, and interleukins, can identify patients at increased risk of adverse outcomes.[4] Thus, it is logical to ask whether immune modulating therapies can improve outcomes for these patients.
In this issue of the Journal of Hospital Medicine, Shafiq and colleagues completed a systematic review and meta‐analysis of corticosteroid therapy for patients with pneumonia.[5] Updating prior reviews, they included 8 randomized controlled trials, all of which consisted of low‐dose, systemic, steroid therapy as the intervention and standard care as the control arm. The overall quality of the included studies was judged moderate, and the overall size of the pooled data was only 1119 patients. In their analysis, adjunctive steroid therapy did not reduce in‐hospital mortality, with 4 studies demonstrating effect sizes suggesting benefit, 3 studies demonstrating no benefit or harm, and 1 study favoring the nonsteroid arm. In these situations with grossly heterogeneous study results, it seems prudent to avoid overly interpreting pooled results, even if statistical tests for heterogeneity are nonsignificant. The investigators also reported a range of secondary outcomes, noting that hospital length of stay was significantly reduced in the pooled steroid treated arms.
The overall negative finding is clearly disappointing at a time when clinicians are looking for new treatments to improve outcomes for these patients. Pneumonia is a heterogeneous disorder, representing a wide range of microbial pathogens and underlying host risk factors. Current treatment guidelines for patients with community‐acquired pneumonia are largely empirical and do not focus on pathogen identification, host risk factor analysis, or biomarker distributions to select antimicrobial therapy.[6] In this regard, despite being 1 of the oldest conditions for which we have published guidelines for treatment, the treatment approach for pneumonia remains quite antiquated, ignoring recent advances in the incorporation of personalized treatment strategies for other illnesses. We may have reached the limits of one‐size‐fits‐all treatment strategies for hospitalized adults with community‐acquired pneumonia. To improve outcomes further, we need to understand the heterogeneity of the disorder and tailor therapies at an individual level. Rapid point‐of‐care tests for pathogens and host response offer the most promising approach toward this strategy.
It is notable that the majority of studies focus on in‐hospital mortality, even though the impact of steroid therapy may be observed over a longer period of follow‐up. Moreover, although mortality is clearly a relevant outcome, it is not the only patient‐centered outcome of importance. However, other outcomes that are typically assessed, such as length of hospitalization and cost, are not patient‐centered outcomes. These are process measures that reflect physician judgment as much as any patient response to treatment. We need to move the field forward by embracing patient outcomes beyond mortality to optimally evaluate new treatment strategies, particularly because the majority of patients will survive hospitalization for the illness. These outcomes would include time to resolution of major symptoms, such as cough and fatigue, and functional outcomes, including return to work and usual activities. Future comparative efficacy and effectiveness studies in pneumonia need to consider a much wider range of true patient outcomes.[7]
It is increasingly fashionable to adopt cross‐disease approaches toward optimizing patient care, particularly in the hospital. Important initiatives that aim to reduce hospital injuries and improve transitions of care are relatively agnostic to specific disease states. Much of the research agenda of hospital medicine avoids a disease‐specific focus, assuming such disease‐specific approaches are the domain of specialists. Yet, it is worth remembering that much of the progress for medical care can be traced to traditional considerations of disease pathophysiology and empirical studies of risk factors and treatments for specific disease. Hospitalists remain at the front line in dealing with most of the common illnesses that afflict patients. Battling those conditions 1 at a time should be an important component of the broader hospitalist research agenda. One hundred years after Osler charged the medical community to identify new strategies for treating an old enemy, we are still struggling to win the battle.
Disclosure
This work was supported in part by K24‐AI073957 (JPM) from the National Institute of Allergy and Infectious Diseases, National Institutes of Health. The author has no conflicts of interest to report.
In the early part of the 20th century, pneumonia was a leading causes of death, particularly among older adults, for whom Osler termed it the Captain of the Men of Death.[1] Mortality rates from severe (bacteremic) pneumonia were typically 80% to 90%, and the introduction of antibacterial therapy in the 1940s reduced that mortality to 10% to 20%. However, as pointed out by Austrian and Gold in a landmark paper in the 1950s, mortality for patients dying within the first 4 to 5 days was not reduced in the postantibiotic era.[2] The survival rates for patients with severe community‐acquired pneumonia minimally improved over the ensuing 50 years, despite the introduction of numerous new antimicrobial drugs and other medical interventions.
One promising area for therapeutic intervention relates to the potential adverse effects of the host inflammatory response in the setting of pneumonia. A growing body of literature supports the conclusion that the window of optimal host response may be relatively narrow. Too little response and patients quickly succumb to overwhelming sepsis. Too much response and a patient's hyperactivated inflammatory system can set off a cascade of secondary events, triggering events such as acute lung injury or ischemic heart disease.[3] Studies have also established that the level of inflammation, as measured by biomarkers such as C‐reactive protein, tumor necrosis factor, and interleukins, can identify patients at increased risk of adverse outcomes.[4] Thus, it is logical to ask whether immune modulating therapies can improve outcomes for these patients.
In this issue of the Journal of Hospital Medicine, Shafiq and colleagues completed a systematic review and meta‐analysis of corticosteroid therapy for patients with pneumonia.[5] Updating prior reviews, they included 8 randomized controlled trials, all of which consisted of low‐dose, systemic, steroid therapy as the intervention and standard care as the control arm. The overall quality of the included studies was judged moderate, and the overall size of the pooled data was only 1119 patients. In their analysis, adjunctive steroid therapy did not reduce in‐hospital mortality, with 4 studies demonstrating effect sizes suggesting benefit, 3 studies demonstrating no benefit or harm, and 1 study favoring the nonsteroid arm. In these situations with grossly heterogeneous study results, it seems prudent to avoid overly interpreting pooled results, even if statistical tests for heterogeneity are nonsignificant. The investigators also reported a range of secondary outcomes, noting that hospital length of stay was significantly reduced in the pooled steroid treated arms.
The overall negative finding is clearly disappointing at a time when clinicians are looking for new treatments to improve outcomes for these patients. Pneumonia is a heterogeneous disorder, representing a wide range of microbial pathogens and underlying host risk factors. Current treatment guidelines for patients with community‐acquired pneumonia are largely empirical and do not focus on pathogen identification, host risk factor analysis, or biomarker distributions to select antimicrobial therapy.[6] In this regard, despite being 1 of the oldest conditions for which we have published guidelines for treatment, the treatment approach for pneumonia remains quite antiquated, ignoring recent advances in the incorporation of personalized treatment strategies for other illnesses. We may have reached the limits of one‐size‐fits‐all treatment strategies for hospitalized adults with community‐acquired pneumonia. To improve outcomes further, we need to understand the heterogeneity of the disorder and tailor therapies at an individual level. Rapid point‐of‐care tests for pathogens and host response offer the most promising approach toward this strategy.
It is notable that the majority of studies focus on in‐hospital mortality, even though the impact of steroid therapy may be observed over a longer period of follow‐up. Moreover, although mortality is clearly a relevant outcome, it is not the only patient‐centered outcome of importance. However, other outcomes that are typically assessed, such as length of hospitalization and cost, are not patient‐centered outcomes. These are process measures that reflect physician judgment as much as any patient response to treatment. We need to move the field forward by embracing patient outcomes beyond mortality to optimally evaluate new treatment strategies, particularly because the majority of patients will survive hospitalization for the illness. These outcomes would include time to resolution of major symptoms, such as cough and fatigue, and functional outcomes, including return to work and usual activities. Future comparative efficacy and effectiveness studies in pneumonia need to consider a much wider range of true patient outcomes.[7]
It is increasingly fashionable to adopt cross‐disease approaches toward optimizing patient care, particularly in the hospital. Important initiatives that aim to reduce hospital injuries and improve transitions of care are relatively agnostic to specific disease states. Much of the research agenda of hospital medicine avoids a disease‐specific focus, assuming such disease‐specific approaches are the domain of specialists. Yet, it is worth remembering that much of the progress for medical care can be traced to traditional considerations of disease pathophysiology and empirical studies of risk factors and treatments for specific disease. Hospitalists remain at the front line in dealing with most of the common illnesses that afflict patients. Battling those conditions 1 at a time should be an important component of the broader hospitalist research agenda. One hundred years after Osler charged the medical community to identify new strategies for treating an old enemy, we are still struggling to win the battle.
Disclosure
This work was supported in part by K24‐AI073957 (JPM) from the National Institute of Allergy and Infectious Diseases, National Institutes of Health. The author has no conflicts of interest to report.
- . The Principles and Practices of Medicine. 7th ed. New York, London: D. Appleton and Co.; 1909.
- , . Pneumococcal bacteremia with special reference to bacteremic pneumococcal pneumonia. Ann Intern Med. 1964;60:759–776.
- , , , et al. Acute bacterial pneumonia is associated with the occurrence of acute coronary syndromes. Medicine (Baltimore). 2009;88(3):154–159.
- , , , et al. Understanding the inflammatory cytokine response in pneumonia and sepsis: results of the Genetic and Inflammatory Markers of Sepsis (GenIMS) Study. Arch Intern Med. 2007;167(15):1655–1663.
- , , , , . Adjuvant steroid therapy in community‐acquired pneumonia: a systematic review and meta‐analysis. J Hosp Med. 2013.
- , , , et al. Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community‐acquired pneumonia in adults. Clin Infect Dis. 2007;44(suppl 2):S27–S72.
- . Reassessing the design, conduct, and analysis of clinical trials of therapy for community‐acquired pneumonia. Clin Infect Dis. 2008;46(8):1152–1156.
- . The Principles and Practices of Medicine. 7th ed. New York, London: D. Appleton and Co.; 1909.
- , . Pneumococcal bacteremia with special reference to bacteremic pneumococcal pneumonia. Ann Intern Med. 1964;60:759–776.
- , , , et al. Acute bacterial pneumonia is associated with the occurrence of acute coronary syndromes. Medicine (Baltimore). 2009;88(3):154–159.
- , , , et al. Understanding the inflammatory cytokine response in pneumonia and sepsis: results of the Genetic and Inflammatory Markers of Sepsis (GenIMS) Study. Arch Intern Med. 2007;167(15):1655–1663.
- , , , , . Adjuvant steroid therapy in community‐acquired pneumonia: a systematic review and meta‐analysis. J Hosp Med. 2013.
- , , , et al. Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community‐acquired pneumonia in adults. Clin Infect Dis. 2007;44(suppl 2):S27–S72.
- . Reassessing the design, conduct, and analysis of clinical trials of therapy for community‐acquired pneumonia. Clin Infect Dis. 2008;46(8):1152–1156.
Resting better with more zolpidem info
"Seriously? ... Okay. Get a stat x-ray of the pelvis and hips and tell the family I’ll be up within 5 minutes."
You hang up the phone incredulous! After 4 weeks in the critical care unit, 2 weeks in a step-down unit, and an additional 8 days on the general medical ward, your patient was finally on the launching pad.
You had spent 90 minutes the night before meticulously reviewing every nursing note, physical therapy recommendation, and a myriad of consultants notes to make sure your discharge summary thoroughly reflected her very complicated hospital course. Last night, she was alert and chatting up a storm. At times, she did not even know if she would ever make it out of the hospital (and neither did you), and here it was, the long-awaited day of discharge, and she wakes up groggy and takes a bad fall on her way to the bathroom.
The list of possible explanations for her new-onset grogginess race through your mind. The likelihood of a stroke is remote. Her vital signs and morning labs are all normal. She was weaned off pain meds weeks ago, and her only complaint for the past few days had been insomnia, for which you ordered zolpidem PRN. Surely that could not be the culprit ... or could it?
Recent evidence shows that sleep aids containing the popular drug zolpidem may be linked to decreased alertness the morning after use, particularly the long-acting formulations. In some patients, blood levels of the drug may remain high enough to put patients at risk when performing tasks that require mental alertness. Evidence of this association was so compelling, the Food and Drug Administration recently announced that it is requiring manufacturers of Ambien, Ambien CR, Zolpimist, and Edluar, sleep aids that contain zolpidem, to lower recommended doses. Women are at particular risk, since they eliminate the drug more slowly than do men. Accordingly, the new FDA-recommended dose for women was cut in half – 5 mg for immediate-release products and 6.25 mg for extended-release products.
Of course, zolpidem is not alone in its propensity to cause grogginess. Virtually any sleep aid can do so because, well, that is what it they are designed to do – make patients sleepy.
This recent drug-safety information was so interesting because we often have a false sense of security when prescribing this drug, and we prescribe it very often. It is our "safer" alternative to valium-type medications. We are now encouraged to order a safer dose of this frequently prescribed drug.
I ordered a lower dose myself right after reading the latest FDA report.
The bottom line is that we need to be aware what this study showed so we can alter our prescribing habits and order the lower dose. All medications have the potential to have side effects in a minority of patients, but it is very important for us to know and react when new recommendations come out that have the potential to be so far reaching.
Dr. Hester is a hospitalist with Baltimore-Washington Medical Center, Glen Burnie, Md., who has a passion for empowering patients to partner in their health care.
"Seriously? ... Okay. Get a stat x-ray of the pelvis and hips and tell the family I’ll be up within 5 minutes."
You hang up the phone incredulous! After 4 weeks in the critical care unit, 2 weeks in a step-down unit, and an additional 8 days on the general medical ward, your patient was finally on the launching pad.
You had spent 90 minutes the night before meticulously reviewing every nursing note, physical therapy recommendation, and a myriad of consultants notes to make sure your discharge summary thoroughly reflected her very complicated hospital course. Last night, she was alert and chatting up a storm. At times, she did not even know if she would ever make it out of the hospital (and neither did you), and here it was, the long-awaited day of discharge, and she wakes up groggy and takes a bad fall on her way to the bathroom.
The list of possible explanations for her new-onset grogginess race through your mind. The likelihood of a stroke is remote. Her vital signs and morning labs are all normal. She was weaned off pain meds weeks ago, and her only complaint for the past few days had been insomnia, for which you ordered zolpidem PRN. Surely that could not be the culprit ... or could it?
Recent evidence shows that sleep aids containing the popular drug zolpidem may be linked to decreased alertness the morning after use, particularly the long-acting formulations. In some patients, blood levels of the drug may remain high enough to put patients at risk when performing tasks that require mental alertness. Evidence of this association was so compelling, the Food and Drug Administration recently announced that it is requiring manufacturers of Ambien, Ambien CR, Zolpimist, and Edluar, sleep aids that contain zolpidem, to lower recommended doses. Women are at particular risk, since they eliminate the drug more slowly than do men. Accordingly, the new FDA-recommended dose for women was cut in half – 5 mg for immediate-release products and 6.25 mg for extended-release products.
Of course, zolpidem is not alone in its propensity to cause grogginess. Virtually any sleep aid can do so because, well, that is what it they are designed to do – make patients sleepy.
This recent drug-safety information was so interesting because we often have a false sense of security when prescribing this drug, and we prescribe it very often. It is our "safer" alternative to valium-type medications. We are now encouraged to order a safer dose of this frequently prescribed drug.
I ordered a lower dose myself right after reading the latest FDA report.
The bottom line is that we need to be aware what this study showed so we can alter our prescribing habits and order the lower dose. All medications have the potential to have side effects in a minority of patients, but it is very important for us to know and react when new recommendations come out that have the potential to be so far reaching.
Dr. Hester is a hospitalist with Baltimore-Washington Medical Center, Glen Burnie, Md., who has a passion for empowering patients to partner in their health care.
"Seriously? ... Okay. Get a stat x-ray of the pelvis and hips and tell the family I’ll be up within 5 minutes."
You hang up the phone incredulous! After 4 weeks in the critical care unit, 2 weeks in a step-down unit, and an additional 8 days on the general medical ward, your patient was finally on the launching pad.
You had spent 90 minutes the night before meticulously reviewing every nursing note, physical therapy recommendation, and a myriad of consultants notes to make sure your discharge summary thoroughly reflected her very complicated hospital course. Last night, she was alert and chatting up a storm. At times, she did not even know if she would ever make it out of the hospital (and neither did you), and here it was, the long-awaited day of discharge, and she wakes up groggy and takes a bad fall on her way to the bathroom.
The list of possible explanations for her new-onset grogginess race through your mind. The likelihood of a stroke is remote. Her vital signs and morning labs are all normal. She was weaned off pain meds weeks ago, and her only complaint for the past few days had been insomnia, for which you ordered zolpidem PRN. Surely that could not be the culprit ... or could it?
Recent evidence shows that sleep aids containing the popular drug zolpidem may be linked to decreased alertness the morning after use, particularly the long-acting formulations. In some patients, blood levels of the drug may remain high enough to put patients at risk when performing tasks that require mental alertness. Evidence of this association was so compelling, the Food and Drug Administration recently announced that it is requiring manufacturers of Ambien, Ambien CR, Zolpimist, and Edluar, sleep aids that contain zolpidem, to lower recommended doses. Women are at particular risk, since they eliminate the drug more slowly than do men. Accordingly, the new FDA-recommended dose for women was cut in half – 5 mg for immediate-release products and 6.25 mg for extended-release products.
Of course, zolpidem is not alone in its propensity to cause grogginess. Virtually any sleep aid can do so because, well, that is what it they are designed to do – make patients sleepy.
This recent drug-safety information was so interesting because we often have a false sense of security when prescribing this drug, and we prescribe it very often. It is our "safer" alternative to valium-type medications. We are now encouraged to order a safer dose of this frequently prescribed drug.
I ordered a lower dose myself right after reading the latest FDA report.
The bottom line is that we need to be aware what this study showed so we can alter our prescribing habits and order the lower dose. All medications have the potential to have side effects in a minority of patients, but it is very important for us to know and react when new recommendations come out that have the potential to be so far reaching.
Dr. Hester is a hospitalist with Baltimore-Washington Medical Center, Glen Burnie, Md., who has a passion for empowering patients to partner in their health care.
The Patient-Doctor Relationship Gap
Physicians who rank poorly in their communication skills with patients were associated with reduced rates of medication adherence in a new report.
A cross-sectional study of nearly 9,4000 patients in the Diabetes Study of Northern California (DISTANCE) found roughly 30% of patients who gave their physicians poor ratings when it came to involving them in decisions, understanding their problems with medications, and eliciting their trust were less likely to refill their cardiometabolic medications than those whose doctors were deemed to be good communicators, researchers found. For each 10-point decrease in the Consumer Assessment of Healthcare Providers and Systems Survey (CAHPS), the prevalence of poor medication adherence increased by 0.9% (P +0.1), the researchers added.
“One of the tricks is that medication adherence is an inherently physician-centric concept,” says lead author Neda Ratanawongsa, MD, MPH, assistant professor in the department of medicine at the University of California at San Francisco (UCSF). “We’re asking you to take medicine that we think will be best for you. That’s been the way that physicians operate for years, often appropriately so. But part of this is figuring out how to encourage the patients to disclose their decision that ‘Yes, I do want to take that medicine’ or ‘No, here’s why I don’t want to take that medicine.’”
Dr. Ratanawongsa adds that hospitalists and other physicians have to develop a sense of trust with patients to build relationships. Future studies could then track patient satisfaction and adherence over time to see if a corollary exists. Also, she says, hospitalists shouldn’t be discouraged that most of their relationships aren’t long-term ones like those found in other specialties.
“I wouldn’t underestimate the impact a hospitalist could have, whether one-time interaction or not, to change an existing therapy program,” Dr. Ratanawongsa says. “It’s important for hospitalists to understand the power of their words.”
Visit our website for more information about medication reconciliation.
Physicians who rank poorly in their communication skills with patients were associated with reduced rates of medication adherence in a new report.
A cross-sectional study of nearly 9,4000 patients in the Diabetes Study of Northern California (DISTANCE) found roughly 30% of patients who gave their physicians poor ratings when it came to involving them in decisions, understanding their problems with medications, and eliciting their trust were less likely to refill their cardiometabolic medications than those whose doctors were deemed to be good communicators, researchers found. For each 10-point decrease in the Consumer Assessment of Healthcare Providers and Systems Survey (CAHPS), the prevalence of poor medication adherence increased by 0.9% (P +0.1), the researchers added.
“One of the tricks is that medication adherence is an inherently physician-centric concept,” says lead author Neda Ratanawongsa, MD, MPH, assistant professor in the department of medicine at the University of California at San Francisco (UCSF). “We’re asking you to take medicine that we think will be best for you. That’s been the way that physicians operate for years, often appropriately so. But part of this is figuring out how to encourage the patients to disclose their decision that ‘Yes, I do want to take that medicine’ or ‘No, here’s why I don’t want to take that medicine.’”
Dr. Ratanawongsa adds that hospitalists and other physicians have to develop a sense of trust with patients to build relationships. Future studies could then track patient satisfaction and adherence over time to see if a corollary exists. Also, she says, hospitalists shouldn’t be discouraged that most of their relationships aren’t long-term ones like those found in other specialties.
“I wouldn’t underestimate the impact a hospitalist could have, whether one-time interaction or not, to change an existing therapy program,” Dr. Ratanawongsa says. “It’s important for hospitalists to understand the power of their words.”
Visit our website for more information about medication reconciliation.
Physicians who rank poorly in their communication skills with patients were associated with reduced rates of medication adherence in a new report.
A cross-sectional study of nearly 9,4000 patients in the Diabetes Study of Northern California (DISTANCE) found roughly 30% of patients who gave their physicians poor ratings when it came to involving them in decisions, understanding their problems with medications, and eliciting their trust were less likely to refill their cardiometabolic medications than those whose doctors were deemed to be good communicators, researchers found. For each 10-point decrease in the Consumer Assessment of Healthcare Providers and Systems Survey (CAHPS), the prevalence of poor medication adherence increased by 0.9% (P +0.1), the researchers added.
“One of the tricks is that medication adherence is an inherently physician-centric concept,” says lead author Neda Ratanawongsa, MD, MPH, assistant professor in the department of medicine at the University of California at San Francisco (UCSF). “We’re asking you to take medicine that we think will be best for you. That’s been the way that physicians operate for years, often appropriately so. But part of this is figuring out how to encourage the patients to disclose their decision that ‘Yes, I do want to take that medicine’ or ‘No, here’s why I don’t want to take that medicine.’”
Dr. Ratanawongsa adds that hospitalists and other physicians have to develop a sense of trust with patients to build relationships. Future studies could then track patient satisfaction and adherence over time to see if a corollary exists. Also, she says, hospitalists shouldn’t be discouraged that most of their relationships aren’t long-term ones like those found in other specialties.
“I wouldn’t underestimate the impact a hospitalist could have, whether one-time interaction or not, to change an existing therapy program,” Dr. Ratanawongsa says. “It’s important for hospitalists to understand the power of their words.”
Visit our website for more information about medication reconciliation.
Pharmacist-Hospitalist Collaboration Can Improve Care, Save Money
A healthy collaboration between hospitalists and pharmacists can generate cost savings and promote positive outcomes, such as preventing adverse drug events and improving care transitions, says Jonathan Edwards, PharmD, BCPS, a clinical pharmacy specialist at Huntsville Hospital in Alabama.
At the 2012 national conference of the American College of Clinical Pharmacy in Hollywood, Fla., Edwards presented a poster that detailed the effectiveness of such interdisciplinary collaboration at Huntsville Hospital, where pharmacists and physicians developed six order sets, a collaborative practice, and a patient interaction program from November 2011 to February 2012. During the study period, researchers documented a total cost savings of $9,825 resulting from 156 patient interventions.
Edwards’ collaborative study at Huntsville started with two physicians who had launched a service teaching hospitalists what pharmacists do, and how they could help in their efforts.
“We got together and developed an order set for treating acute alcohol withdrawal. That went well, so we did five more order sets,” Edwards says. “Then we thought: What if pharmacists got more involved by meeting directly with patients in the hospital to optimize their medication management and help them reach their goals for treatment? We now evaluate patients on the hospitalist service in three units.”
For Edwards, key factors that make the hospitalist-pharmacist relationship work include communicating the pharmacist’s availability to help with the hospitalist’s patients, identifying the physician’s openness to help, and clarifying how the physician prefers to be contacted.
Last October, the American Society of Health-System Pharmacists (ASHP) and the American Pharmacists Association (APhA) recognized eight care-transitions programs for best practices that improved patient outcomes and reduced hospital readmissions as part of the Medication Management in Care Transitions (MMCT) Project.
“The MMCT project highlights the valuable role pharmacists can play in addressing medication-related problems that can lead to hospital readmissions,” APhA chief executive officer Thomas E. Menighan, BSPharm, MBA, ScD (Hon), FAPhA, said in a news release. “By putting together these best practices, our goal is to provide a model for better coordination of care and better connectivity between pharmacists and healthcare providers in different practice settings that leads to improved patient health.”
Visit our website for more information about maximizing patient care through pharmacist-hospitalist collaboration.
A healthy collaboration between hospitalists and pharmacists can generate cost savings and promote positive outcomes, such as preventing adverse drug events and improving care transitions, says Jonathan Edwards, PharmD, BCPS, a clinical pharmacy specialist at Huntsville Hospital in Alabama.
At the 2012 national conference of the American College of Clinical Pharmacy in Hollywood, Fla., Edwards presented a poster that detailed the effectiveness of such interdisciplinary collaboration at Huntsville Hospital, where pharmacists and physicians developed six order sets, a collaborative practice, and a patient interaction program from November 2011 to February 2012. During the study period, researchers documented a total cost savings of $9,825 resulting from 156 patient interventions.
Edwards’ collaborative study at Huntsville started with two physicians who had launched a service teaching hospitalists what pharmacists do, and how they could help in their efforts.
“We got together and developed an order set for treating acute alcohol withdrawal. That went well, so we did five more order sets,” Edwards says. “Then we thought: What if pharmacists got more involved by meeting directly with patients in the hospital to optimize their medication management and help them reach their goals for treatment? We now evaluate patients on the hospitalist service in three units.”
For Edwards, key factors that make the hospitalist-pharmacist relationship work include communicating the pharmacist’s availability to help with the hospitalist’s patients, identifying the physician’s openness to help, and clarifying how the physician prefers to be contacted.
Last October, the American Society of Health-System Pharmacists (ASHP) and the American Pharmacists Association (APhA) recognized eight care-transitions programs for best practices that improved patient outcomes and reduced hospital readmissions as part of the Medication Management in Care Transitions (MMCT) Project.
“The MMCT project highlights the valuable role pharmacists can play in addressing medication-related problems that can lead to hospital readmissions,” APhA chief executive officer Thomas E. Menighan, BSPharm, MBA, ScD (Hon), FAPhA, said in a news release. “By putting together these best practices, our goal is to provide a model for better coordination of care and better connectivity between pharmacists and healthcare providers in different practice settings that leads to improved patient health.”
Visit our website for more information about maximizing patient care through pharmacist-hospitalist collaboration.
A healthy collaboration between hospitalists and pharmacists can generate cost savings and promote positive outcomes, such as preventing adverse drug events and improving care transitions, says Jonathan Edwards, PharmD, BCPS, a clinical pharmacy specialist at Huntsville Hospital in Alabama.
At the 2012 national conference of the American College of Clinical Pharmacy in Hollywood, Fla., Edwards presented a poster that detailed the effectiveness of such interdisciplinary collaboration at Huntsville Hospital, where pharmacists and physicians developed six order sets, a collaborative practice, and a patient interaction program from November 2011 to February 2012. During the study period, researchers documented a total cost savings of $9,825 resulting from 156 patient interventions.
Edwards’ collaborative study at Huntsville started with two physicians who had launched a service teaching hospitalists what pharmacists do, and how they could help in their efforts.
“We got together and developed an order set for treating acute alcohol withdrawal. That went well, so we did five more order sets,” Edwards says. “Then we thought: What if pharmacists got more involved by meeting directly with patients in the hospital to optimize their medication management and help them reach their goals for treatment? We now evaluate patients on the hospitalist service in three units.”
For Edwards, key factors that make the hospitalist-pharmacist relationship work include communicating the pharmacist’s availability to help with the hospitalist’s patients, identifying the physician’s openness to help, and clarifying how the physician prefers to be contacted.
Last October, the American Society of Health-System Pharmacists (ASHP) and the American Pharmacists Association (APhA) recognized eight care-transitions programs for best practices that improved patient outcomes and reduced hospital readmissions as part of the Medication Management in Care Transitions (MMCT) Project.
“The MMCT project highlights the valuable role pharmacists can play in addressing medication-related problems that can lead to hospital readmissions,” APhA chief executive officer Thomas E. Menighan, BSPharm, MBA, ScD (Hon), FAPhA, said in a news release. “By putting together these best practices, our goal is to provide a model for better coordination of care and better connectivity between pharmacists and healthcare providers in different practice settings that leads to improved patient health.”
Visit our website for more information about maximizing patient care through pharmacist-hospitalist collaboration.
Trial bolsters fecal infusion efficacy against C. difficile
The infusion of donor feces into the duodenum of patients with recurrent, often intractable Clostridium difficile infection led to a much higher rate of cure than did either vancomycin therapy or bowel lavage in a small, randomized, open-label clinical trial.
The trial was closed early to new enrollment after only 43 of its planned 120 patients had undergone randomization because an interim analysis by the trial’s data safety and monitoring board found that almost all patients in the two control groups had a recurrence, compared with ultimate resolution of diarrhea in 15 of 16 patients treated with fecal infusion.
There were no infectious complications from the fecal infusions, and the only adverse event was transient diarrhea immediately following the procedure, which resolved in all patients within 3 hours, according to Dr. Els van Nood of the University of Amsterdam Academic Medical Center and her associates. They reported their findings online Jan. 16 in the New England Journal of Medicine.
"We found that the infusion of donor feces is a potential therapeutic strategy against recurrent C. difficile infection. In our study, infusion of a relatively large amount of feces through a nasoduodenal tube had an acceptable adverse-event profile and was logistically manageable," they noted.
Currently there is no effective therapy for recurrent C. difficile infection of the gastrointestinal tract. Extended and repeated courses of vancomycin usually are prescribed, but the antibiotic’s efficacy is estimated to be only 60% for the first recurrence and declines substantially with each subsequent recurrence.
The reason for the waning of antibiotic effectiveness is not known for certain. Experts have proposed that C. difficile spores may persist in the gut and get reactivated over time; that antibody responses to Clostridium toxins diminish over time; or that persistent disturbance of the native intestinal microbiota causes reduced diversity, which in turn reduces natural resistance to C. difficile.
It was hoped that infusion of feces from healthy donors would address the last mechanism, restoring the normal microbiota and boosting host defenses against C. difficile. Several preliminary studies have produced promising results, but "experience with this procedure is limited by a lack of randomized trials supporting its efficacy and the unappealing nature of the treatment," Dr. van Nood and her colleagues said.
All the study subjects had persistent C. difficile infection, as evidenced by severe diarrhea with positive stool tests for the organism, after multiple courses of vancomycin and/or metronidazole.
Both patients and physicians are reluctant to choose donor-feces infusion until other measures have failed repeatedly. "It seems reasonable to initiate treatment with donor-feces infusion after the second or third relapse," the investigators wrote.
A total of 41 patients completed the study protocol. The trial compared the infusion of donor feces after pretreatment with a brief (4-day) course of vancomycin and bowel lavage (16 patients), a standard vancomycin regimen (12 patients), and a standard vancomycin regimen plus bowel lavage (13 patients). Bowel lavage was included because it has been used in previous studies of this new treatment and is thought to "reduce the pathogenic bowel content, facilitating colonization of healthy donor microbiota."
Most of the study subjects were elderly, with mean ages of 73 years, 66 years, and 69 years, respectively, in the three study arms.
Feces donors included 15 healthy volunteers aged 60 years and older who were screened for numerous potentially transmissible diseases. Fecal samples were collected just before the infusion was scheduled, and they were screened for parasites, C. difficile, and enteropathogenic bacteria. The samples were diluted with 500 mL of sterile saline, and the mixture was strained and poured into a sterile bottle.
A mean of 141 g of feces was infused through a nasoduodenal tube, and patients were monitored for 2 hours. Analysis of patients’ phylogenetic microarray profiles before and after treatment demonstrated "a major shift in the patients’ microbiota" from abnormal to normal diversity of organisms, Dr. van Nood and her associates said (N. Engl. J. Med. 2013 Jan. 16 [doi: 10.1056/NEJMoa1205037]).
The primary endpoint was cure without relapse within 10 weeks of treatment. Thirteen patients in the infusion group (81%) reached this endpoint after a single infusion. The remaining 3 patients had a second treatment, and 2 of them were cured, for an overall cure rate of 94% (15 of 16 patients).
In comparison, the cure rate with vancomycin alone was 31% (4 of 13 patients), and with vancomycin plus bowel lavage it was 23% (3 of 13).
At an interim follow-up of 5 weeks following initial treatment, C. difficile infection recurred in 1 patient (6%) in the infusion group, compared with 8 (62%) in the vancomycin-only group and 7 (54%) in the vancomycin-plus-lavage group.
Eighteen patients from the two control groups who relapsed after antibiotic treatment switched to off-protocol infusions of donor feces. Fifteen of them (83%) were cured: 11 after a single fecal infusion and 4 after two infusions.
All but one of the patients who received fecal infusions experienced immediate diarrhea, sometimes with cramping (31%) and belching (19%). These symptoms resolved in all of them within 3 hours. The only other adverse event that may have been related to the treatment was constipation, which developed in three patients.
Although the exact mechanism of action of this "unconventional" therapy is not yet known, Dr. van Nood and her colleagues speculated that donor-feces infusion probably restores the normal intestinal microbiota, enhancing the host defense against C. difficile.
Future research must determine the optimal protocol for donor-feces infusion, including the amount of feces required. Alternative routes of infusion, such as via enema or colonoscopy, also should be explored, they added.
This study was supported by the Netherlands Organization for Health Research and Development and the Netherlands Organization for Scientific Research. Four of the study’s 13 authors reported ties to Astellas. Two of those four also reported ties to Microbex.
This trial addresses one of the main impediments to the routine use of fecal microbiota transplantation (FMT) since it was first performed in 1958: a lack of efficacy data from randomized controlled trials. The results support an earlier systematic review of uncontrolled case series in which the overall response rates of FMT were 80% through the stomach or small intestine and 92% through colonoscopy or enema.
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Despite the resurgence of FMT in recent years as a result of the past decade’s increase in the incidence and severity of C. difficile–associated diarrhea, it has not become mainstream, and only the most recalcitrant cases are likely to undergo it, "usually out of desperation after multiple treatment approaches have failed."
The trial’s findings "will provide added stimulus to the ongoing efforts to address the other main impediments to the routine and widespread use of FMT": unappealing aesthetics and the logistical challenge of harvesting and processing donor material.
Ciarán P. Kelly, M.D., is a professor of medicine in the division of gastroenterology at Beth Israel Deaconess Medical Center and Harvard Medical School, both in Boston. He reported having financial ties to many companies developing therapies for treating C. difficile infection. These comments are taken from his editorial accompanying Dr. van Nood’s report (N. Engl. J. Med. 2013 Jan. 16 [doi: 10.1056/NEJMe1214816]).
This trial addresses one of the main impediments to the routine use of fecal microbiota transplantation (FMT) since it was first performed in 1958: a lack of efficacy data from randomized controlled trials. The results support an earlier systematic review of uncontrolled case series in which the overall response rates of FMT were 80% through the stomach or small intestine and 92% through colonoscopy or enema.
|
|
Despite the resurgence of FMT in recent years as a result of the past decade’s increase in the incidence and severity of C. difficile–associated diarrhea, it has not become mainstream, and only the most recalcitrant cases are likely to undergo it, "usually out of desperation after multiple treatment approaches have failed."
The trial’s findings "will provide added stimulus to the ongoing efforts to address the other main impediments to the routine and widespread use of FMT": unappealing aesthetics and the logistical challenge of harvesting and processing donor material.
Ciarán P. Kelly, M.D., is a professor of medicine in the division of gastroenterology at Beth Israel Deaconess Medical Center and Harvard Medical School, both in Boston. He reported having financial ties to many companies developing therapies for treating C. difficile infection. These comments are taken from his editorial accompanying Dr. van Nood’s report (N. Engl. J. Med. 2013 Jan. 16 [doi: 10.1056/NEJMe1214816]).
This trial addresses one of the main impediments to the routine use of fecal microbiota transplantation (FMT) since it was first performed in 1958: a lack of efficacy data from randomized controlled trials. The results support an earlier systematic review of uncontrolled case series in which the overall response rates of FMT were 80% through the stomach or small intestine and 92% through colonoscopy or enema.
|
|
Despite the resurgence of FMT in recent years as a result of the past decade’s increase in the incidence and severity of C. difficile–associated diarrhea, it has not become mainstream, and only the most recalcitrant cases are likely to undergo it, "usually out of desperation after multiple treatment approaches have failed."
The trial’s findings "will provide added stimulus to the ongoing efforts to address the other main impediments to the routine and widespread use of FMT": unappealing aesthetics and the logistical challenge of harvesting and processing donor material.
Ciarán P. Kelly, M.D., is a professor of medicine in the division of gastroenterology at Beth Israel Deaconess Medical Center and Harvard Medical School, both in Boston. He reported having financial ties to many companies developing therapies for treating C. difficile infection. These comments are taken from his editorial accompanying Dr. van Nood’s report (N. Engl. J. Med. 2013 Jan. 16 [doi: 10.1056/NEJMe1214816]).
The infusion of donor feces into the duodenum of patients with recurrent, often intractable Clostridium difficile infection led to a much higher rate of cure than did either vancomycin therapy or bowel lavage in a small, randomized, open-label clinical trial.
The trial was closed early to new enrollment after only 43 of its planned 120 patients had undergone randomization because an interim analysis by the trial’s data safety and monitoring board found that almost all patients in the two control groups had a recurrence, compared with ultimate resolution of diarrhea in 15 of 16 patients treated with fecal infusion.
There were no infectious complications from the fecal infusions, and the only adverse event was transient diarrhea immediately following the procedure, which resolved in all patients within 3 hours, according to Dr. Els van Nood of the University of Amsterdam Academic Medical Center and her associates. They reported their findings online Jan. 16 in the New England Journal of Medicine.
"We found that the infusion of donor feces is a potential therapeutic strategy against recurrent C. difficile infection. In our study, infusion of a relatively large amount of feces through a nasoduodenal tube had an acceptable adverse-event profile and was logistically manageable," they noted.
Currently there is no effective therapy for recurrent C. difficile infection of the gastrointestinal tract. Extended and repeated courses of vancomycin usually are prescribed, but the antibiotic’s efficacy is estimated to be only 60% for the first recurrence and declines substantially with each subsequent recurrence.
The reason for the waning of antibiotic effectiveness is not known for certain. Experts have proposed that C. difficile spores may persist in the gut and get reactivated over time; that antibody responses to Clostridium toxins diminish over time; or that persistent disturbance of the native intestinal microbiota causes reduced diversity, which in turn reduces natural resistance to C. difficile.
It was hoped that infusion of feces from healthy donors would address the last mechanism, restoring the normal microbiota and boosting host defenses against C. difficile. Several preliminary studies have produced promising results, but "experience with this procedure is limited by a lack of randomized trials supporting its efficacy and the unappealing nature of the treatment," Dr. van Nood and her colleagues said.
All the study subjects had persistent C. difficile infection, as evidenced by severe diarrhea with positive stool tests for the organism, after multiple courses of vancomycin and/or metronidazole.
Both patients and physicians are reluctant to choose donor-feces infusion until other measures have failed repeatedly. "It seems reasonable to initiate treatment with donor-feces infusion after the second or third relapse," the investigators wrote.
A total of 41 patients completed the study protocol. The trial compared the infusion of donor feces after pretreatment with a brief (4-day) course of vancomycin and bowel lavage (16 patients), a standard vancomycin regimen (12 patients), and a standard vancomycin regimen plus bowel lavage (13 patients). Bowel lavage was included because it has been used in previous studies of this new treatment and is thought to "reduce the pathogenic bowel content, facilitating colonization of healthy donor microbiota."
Most of the study subjects were elderly, with mean ages of 73 years, 66 years, and 69 years, respectively, in the three study arms.
Feces donors included 15 healthy volunteers aged 60 years and older who were screened for numerous potentially transmissible diseases. Fecal samples were collected just before the infusion was scheduled, and they were screened for parasites, C. difficile, and enteropathogenic bacteria. The samples were diluted with 500 mL of sterile saline, and the mixture was strained and poured into a sterile bottle.
A mean of 141 g of feces was infused through a nasoduodenal tube, and patients were monitored for 2 hours. Analysis of patients’ phylogenetic microarray profiles before and after treatment demonstrated "a major shift in the patients’ microbiota" from abnormal to normal diversity of organisms, Dr. van Nood and her associates said (N. Engl. J. Med. 2013 Jan. 16 [doi: 10.1056/NEJMoa1205037]).
The primary endpoint was cure without relapse within 10 weeks of treatment. Thirteen patients in the infusion group (81%) reached this endpoint after a single infusion. The remaining 3 patients had a second treatment, and 2 of them were cured, for an overall cure rate of 94% (15 of 16 patients).
In comparison, the cure rate with vancomycin alone was 31% (4 of 13 patients), and with vancomycin plus bowel lavage it was 23% (3 of 13).
At an interim follow-up of 5 weeks following initial treatment, C. difficile infection recurred in 1 patient (6%) in the infusion group, compared with 8 (62%) in the vancomycin-only group and 7 (54%) in the vancomycin-plus-lavage group.
Eighteen patients from the two control groups who relapsed after antibiotic treatment switched to off-protocol infusions of donor feces. Fifteen of them (83%) were cured: 11 after a single fecal infusion and 4 after two infusions.
All but one of the patients who received fecal infusions experienced immediate diarrhea, sometimes with cramping (31%) and belching (19%). These symptoms resolved in all of them within 3 hours. The only other adverse event that may have been related to the treatment was constipation, which developed in three patients.
Although the exact mechanism of action of this "unconventional" therapy is not yet known, Dr. van Nood and her colleagues speculated that donor-feces infusion probably restores the normal intestinal microbiota, enhancing the host defense against C. difficile.
Future research must determine the optimal protocol for donor-feces infusion, including the amount of feces required. Alternative routes of infusion, such as via enema or colonoscopy, also should be explored, they added.
This study was supported by the Netherlands Organization for Health Research and Development and the Netherlands Organization for Scientific Research. Four of the study’s 13 authors reported ties to Astellas. Two of those four also reported ties to Microbex.
The infusion of donor feces into the duodenum of patients with recurrent, often intractable Clostridium difficile infection led to a much higher rate of cure than did either vancomycin therapy or bowel lavage in a small, randomized, open-label clinical trial.
The trial was closed early to new enrollment after only 43 of its planned 120 patients had undergone randomization because an interim analysis by the trial’s data safety and monitoring board found that almost all patients in the two control groups had a recurrence, compared with ultimate resolution of diarrhea in 15 of 16 patients treated with fecal infusion.
There were no infectious complications from the fecal infusions, and the only adverse event was transient diarrhea immediately following the procedure, which resolved in all patients within 3 hours, according to Dr. Els van Nood of the University of Amsterdam Academic Medical Center and her associates. They reported their findings online Jan. 16 in the New England Journal of Medicine.
"We found that the infusion of donor feces is a potential therapeutic strategy against recurrent C. difficile infection. In our study, infusion of a relatively large amount of feces through a nasoduodenal tube had an acceptable adverse-event profile and was logistically manageable," they noted.
Currently there is no effective therapy for recurrent C. difficile infection of the gastrointestinal tract. Extended and repeated courses of vancomycin usually are prescribed, but the antibiotic’s efficacy is estimated to be only 60% for the first recurrence and declines substantially with each subsequent recurrence.
The reason for the waning of antibiotic effectiveness is not known for certain. Experts have proposed that C. difficile spores may persist in the gut and get reactivated over time; that antibody responses to Clostridium toxins diminish over time; or that persistent disturbance of the native intestinal microbiota causes reduced diversity, which in turn reduces natural resistance to C. difficile.
It was hoped that infusion of feces from healthy donors would address the last mechanism, restoring the normal microbiota and boosting host defenses against C. difficile. Several preliminary studies have produced promising results, but "experience with this procedure is limited by a lack of randomized trials supporting its efficacy and the unappealing nature of the treatment," Dr. van Nood and her colleagues said.
All the study subjects had persistent C. difficile infection, as evidenced by severe diarrhea with positive stool tests for the organism, after multiple courses of vancomycin and/or metronidazole.
Both patients and physicians are reluctant to choose donor-feces infusion until other measures have failed repeatedly. "It seems reasonable to initiate treatment with donor-feces infusion after the second or third relapse," the investigators wrote.
A total of 41 patients completed the study protocol. The trial compared the infusion of donor feces after pretreatment with a brief (4-day) course of vancomycin and bowel lavage (16 patients), a standard vancomycin regimen (12 patients), and a standard vancomycin regimen plus bowel lavage (13 patients). Bowel lavage was included because it has been used in previous studies of this new treatment and is thought to "reduce the pathogenic bowel content, facilitating colonization of healthy donor microbiota."
Most of the study subjects were elderly, with mean ages of 73 years, 66 years, and 69 years, respectively, in the three study arms.
Feces donors included 15 healthy volunteers aged 60 years and older who were screened for numerous potentially transmissible diseases. Fecal samples were collected just before the infusion was scheduled, and they were screened for parasites, C. difficile, and enteropathogenic bacteria. The samples were diluted with 500 mL of sterile saline, and the mixture was strained and poured into a sterile bottle.
A mean of 141 g of feces was infused through a nasoduodenal tube, and patients were monitored for 2 hours. Analysis of patients’ phylogenetic microarray profiles before and after treatment demonstrated "a major shift in the patients’ microbiota" from abnormal to normal diversity of organisms, Dr. van Nood and her associates said (N. Engl. J. Med. 2013 Jan. 16 [doi: 10.1056/NEJMoa1205037]).
The primary endpoint was cure without relapse within 10 weeks of treatment. Thirteen patients in the infusion group (81%) reached this endpoint after a single infusion. The remaining 3 patients had a second treatment, and 2 of them were cured, for an overall cure rate of 94% (15 of 16 patients).
In comparison, the cure rate with vancomycin alone was 31% (4 of 13 patients), and with vancomycin plus bowel lavage it was 23% (3 of 13).
At an interim follow-up of 5 weeks following initial treatment, C. difficile infection recurred in 1 patient (6%) in the infusion group, compared with 8 (62%) in the vancomycin-only group and 7 (54%) in the vancomycin-plus-lavage group.
Eighteen patients from the two control groups who relapsed after antibiotic treatment switched to off-protocol infusions of donor feces. Fifteen of them (83%) were cured: 11 after a single fecal infusion and 4 after two infusions.
All but one of the patients who received fecal infusions experienced immediate diarrhea, sometimes with cramping (31%) and belching (19%). These symptoms resolved in all of them within 3 hours. The only other adverse event that may have been related to the treatment was constipation, which developed in three patients.
Although the exact mechanism of action of this "unconventional" therapy is not yet known, Dr. van Nood and her colleagues speculated that donor-feces infusion probably restores the normal intestinal microbiota, enhancing the host defense against C. difficile.
Future research must determine the optimal protocol for donor-feces infusion, including the amount of feces required. Alternative routes of infusion, such as via enema or colonoscopy, also should be explored, they added.
This study was supported by the Netherlands Organization for Health Research and Development and the Netherlands Organization for Scientific Research. Four of the study’s 13 authors reported ties to Astellas. Two of those four also reported ties to Microbex.
FROM THE NEW ENGLAND JOURNAL OF MEDICINE
Major Finding: The overall cure rate of C. difficile infection was 94% with donor-feces infusion, 31% with vancomycin alone, and 23% with vancomycin plus bowel lavage.
Data Source: An open-label, randomized controlled trial comparing three treatment regimens in 41 patients with recurrent C. difficile infection of the GI tract.
Disclosures: This study was supported by the Netherlands Organization for Health Research and Development and the Netherlands Organization for Scientific Research. Four of the study’s 13 authors reported ties to Astellas. Two of those four also reported ties to Microbex.
New interferon gene identified
A newly identified interferon gene known as IFNL4 is associated with impaired clearance of hepatitis C virus, results from a novel study demonstrated.
In an article published online Jan. 6 in Nature Genetics, the results of the study suggest that therapeutic inhibition of IFNL4 "might represent a novel biological strategy for the treatment of HCV and HBV infection and possibly other diseases, and IFNL4 genotype could be used to select patients for this therapy," wrote Ludmila Prokunina-Olsson, Ph.D., and her colleagues.
They described IFNL4 as "related to but distinct from known IFNs and other class 2 cytokines. The 179 amino acid open reading frame of the IFNL4 transcript is created by a common deletion frameshift allele of ss469415590, which is a dinucleotide variant strongly linked with rs12979860" – a genetic marker strongly associated with HCV clearance. The gene is located upstream of IFNL3 on chromosome 19q13.13.
Dr. Prokunina-Olsson, of the Laboratory of Translational Genomics in the Division of Cancer Epidemiology and Genetics at the National Cancer Institute, and her associates performed the RNA sequencing experiment in a sample of primary human hepatocytes treated with polyinosinic:polycytidylic acid, a synthetic mimic of double-stranded HCV RNA. The sample was taken from a liver donor who was heterozygous for rs12979860 and uninfected with HCV (Nature Genetics 2013 Jan. 6 [doi: 10.1038/ng.2521]).
The researchers found that compared with rs12979860, ss469415590 was more strongly associated with HCV clearance in individuals of African ancestry (P = .015), while these variants behaved similarly in individuals of European ancestry.
They also discovered that IFNL4 "induces STAT1 and STAT2 phosphorylation, activates ISRE-Luc reporter and ISGs, and generates antiviral response in hepatoma cells," they wrote. "The mechanisms by which IFNL4 induces these responses but nevertheless impairs HCV clearance are currently under investigation."
The study was funded by grants from the National Cancer Institute and the National Institute of Diabetes, Digestive, and Kidney Diseases.
A newly identified interferon gene known as IFNL4 is associated with impaired clearance of hepatitis C virus, results from a novel study demonstrated.
In an article published online Jan. 6 in Nature Genetics, the results of the study suggest that therapeutic inhibition of IFNL4 "might represent a novel biological strategy for the treatment of HCV and HBV infection and possibly other diseases, and IFNL4 genotype could be used to select patients for this therapy," wrote Ludmila Prokunina-Olsson, Ph.D., and her colleagues.
They described IFNL4 as "related to but distinct from known IFNs and other class 2 cytokines. The 179 amino acid open reading frame of the IFNL4 transcript is created by a common deletion frameshift allele of ss469415590, which is a dinucleotide variant strongly linked with rs12979860" – a genetic marker strongly associated with HCV clearance. The gene is located upstream of IFNL3 on chromosome 19q13.13.
Dr. Prokunina-Olsson, of the Laboratory of Translational Genomics in the Division of Cancer Epidemiology and Genetics at the National Cancer Institute, and her associates performed the RNA sequencing experiment in a sample of primary human hepatocytes treated with polyinosinic:polycytidylic acid, a synthetic mimic of double-stranded HCV RNA. The sample was taken from a liver donor who was heterozygous for rs12979860 and uninfected with HCV (Nature Genetics 2013 Jan. 6 [doi: 10.1038/ng.2521]).
The researchers found that compared with rs12979860, ss469415590 was more strongly associated with HCV clearance in individuals of African ancestry (P = .015), while these variants behaved similarly in individuals of European ancestry.
They also discovered that IFNL4 "induces STAT1 and STAT2 phosphorylation, activates ISRE-Luc reporter and ISGs, and generates antiviral response in hepatoma cells," they wrote. "The mechanisms by which IFNL4 induces these responses but nevertheless impairs HCV clearance are currently under investigation."
The study was funded by grants from the National Cancer Institute and the National Institute of Diabetes, Digestive, and Kidney Diseases.
A newly identified interferon gene known as IFNL4 is associated with impaired clearance of hepatitis C virus, results from a novel study demonstrated.
In an article published online Jan. 6 in Nature Genetics, the results of the study suggest that therapeutic inhibition of IFNL4 "might represent a novel biological strategy for the treatment of HCV and HBV infection and possibly other diseases, and IFNL4 genotype could be used to select patients for this therapy," wrote Ludmila Prokunina-Olsson, Ph.D., and her colleagues.
They described IFNL4 as "related to but distinct from known IFNs and other class 2 cytokines. The 179 amino acid open reading frame of the IFNL4 transcript is created by a common deletion frameshift allele of ss469415590, which is a dinucleotide variant strongly linked with rs12979860" – a genetic marker strongly associated with HCV clearance. The gene is located upstream of IFNL3 on chromosome 19q13.13.
Dr. Prokunina-Olsson, of the Laboratory of Translational Genomics in the Division of Cancer Epidemiology and Genetics at the National Cancer Institute, and her associates performed the RNA sequencing experiment in a sample of primary human hepatocytes treated with polyinosinic:polycytidylic acid, a synthetic mimic of double-stranded HCV RNA. The sample was taken from a liver donor who was heterozygous for rs12979860 and uninfected with HCV (Nature Genetics 2013 Jan. 6 [doi: 10.1038/ng.2521]).
The researchers found that compared with rs12979860, ss469415590 was more strongly associated with HCV clearance in individuals of African ancestry (P = .015), while these variants behaved similarly in individuals of European ancestry.
They also discovered that IFNL4 "induces STAT1 and STAT2 phosphorylation, activates ISRE-Luc reporter and ISGs, and generates antiviral response in hepatoma cells," they wrote. "The mechanisms by which IFNL4 induces these responses but nevertheless impairs HCV clearance are currently under investigation."
The study was funded by grants from the National Cancer Institute and the National Institute of Diabetes, Digestive, and Kidney Diseases.
FROM NATURE GENETICS
Major Finding: Upstream of IFNL3 on chromosome 19q13.13, researchers located a new interferon gene, IFNL4, which is associated with impaired clearance of hepatitis C virus.
Data Source: A study of primary human hepatocytes that were activated with synthetic double-stranded RNA to mimic HCV infection.
Disclosures: The study was funded by grants from the National Cancer Institute and the National Institute of Diabetes, Digestive, and Kidney Diseases.
Cyclosporine no more effective than infliximab for ulcerative colitis
Cyclosporine was no more effective than infliximab in patients with acute severe ulcerative colitis refractory to intravenous steroids, according to an open-label, randomized controlled trial of 115 patients.
However, the authors, led by Dr. David Laharie of the hepatology and gastroenterology service at Bordeaux (France) Hospital Center, said that their findings should be interpreted with caution because of the sample size. They added that treatment choice should be guided by physician and center experience.
As many as 40% of patients with acute severe ulcerative colitis who are admitted to the hospital are resistant to intravenous corticosteroids. For these patients, two drugs, cyclosporine or infliximab, have been used as rescue drugs to avoid colectomy.
Meanwhile, there haven’t been many studies comparing the two drugs. A 2012 systematic review of studies on cyclosporine and infliximab showed that the two were comparable, but randomized trials were needed, the review authors noted (Int. J. Colorectal. Dis. 2012 Nov. 1 [Epub ahead of print]). The current study, according to Dr. Laharie and his colleagues, is the first randomized trial to address the issue (Lancet 2012;380:1909-15).
For the 98-day open-label study, researchers randomized 115 patients to cyclosporine (58 patients) or infliximab (57). The patients were admitted for acute severe flare of ulcerative colitis (Lichtiger score greater than 10 points) to one of the 27 European centers participating in the study between June 1, 2007, and Aug. 31, 2010. They were 18 years or older (mean, 37.5 years), and had never received cyclosporine or infliximab. Contraception during the trial and for 3 months after was mandatory for patients of childbearing age.
The primary endpoint was treatment failure at any time, including absence of clinical response on day 7, relapse between day 7 and day 98, absence of steroid-free remission at day 98, or a severe adverse event leading to interruption of treatment, colectomy, or death. The secondary endpoints included clinical response at day 7, time to clinical response, mucosal healing at day 98, colectomy-free survival, and safety.
Treatment failed in 35 patients (60%) who were receiving cyclosporine, and in 31 patients (54%) who were given infliximab (absolute risk difference of 6%, P = .52). There were no significant differences between the two groups’ suboutcomes, such as responses at day 7 and colectomy rates at day 98. Both drugs were well tolerated, and there were no serious infections or deaths during the trial period.
The authors noted several limitations of the study. Treatment assignments were open label. The use of composite criteria as a primary outcome, rather than colectomy alone, "probably restricted the effect of unmasking on therapeutic decisions," they wrote. Also, the study was powered to detect a large difference between the effect of the two drugs. In addition, they said that because of the sample size, the study’s findings needed to be interpreted with caution.
The authors listed disclosures with several companies, including Merck Sharp & Dohme, Abbott, and Ferring, but they said that no commercial entity had any role in the study, and that the funding sources had no role in the study design, data collection, analysis, or interpretation.
On Twitter @naseemsmiller
Cyclosporine was no more effective than infliximab in patients with acute severe ulcerative colitis refractory to intravenous steroids, according to an open-label, randomized controlled trial of 115 patients.
However, the authors, led by Dr. David Laharie of the hepatology and gastroenterology service at Bordeaux (France) Hospital Center, said that their findings should be interpreted with caution because of the sample size. They added that treatment choice should be guided by physician and center experience.
As many as 40% of patients with acute severe ulcerative colitis who are admitted to the hospital are resistant to intravenous corticosteroids. For these patients, two drugs, cyclosporine or infliximab, have been used as rescue drugs to avoid colectomy.
Meanwhile, there haven’t been many studies comparing the two drugs. A 2012 systematic review of studies on cyclosporine and infliximab showed that the two were comparable, but randomized trials were needed, the review authors noted (Int. J. Colorectal. Dis. 2012 Nov. 1 [Epub ahead of print]). The current study, according to Dr. Laharie and his colleagues, is the first randomized trial to address the issue (Lancet 2012;380:1909-15).
For the 98-day open-label study, researchers randomized 115 patients to cyclosporine (58 patients) or infliximab (57). The patients were admitted for acute severe flare of ulcerative colitis (Lichtiger score greater than 10 points) to one of the 27 European centers participating in the study between June 1, 2007, and Aug. 31, 2010. They were 18 years or older (mean, 37.5 years), and had never received cyclosporine or infliximab. Contraception during the trial and for 3 months after was mandatory for patients of childbearing age.
The primary endpoint was treatment failure at any time, including absence of clinical response on day 7, relapse between day 7 and day 98, absence of steroid-free remission at day 98, or a severe adverse event leading to interruption of treatment, colectomy, or death. The secondary endpoints included clinical response at day 7, time to clinical response, mucosal healing at day 98, colectomy-free survival, and safety.
Treatment failed in 35 patients (60%) who were receiving cyclosporine, and in 31 patients (54%) who were given infliximab (absolute risk difference of 6%, P = .52). There were no significant differences between the two groups’ suboutcomes, such as responses at day 7 and colectomy rates at day 98. Both drugs were well tolerated, and there were no serious infections or deaths during the trial period.
The authors noted several limitations of the study. Treatment assignments were open label. The use of composite criteria as a primary outcome, rather than colectomy alone, "probably restricted the effect of unmasking on therapeutic decisions," they wrote. Also, the study was powered to detect a large difference between the effect of the two drugs. In addition, they said that because of the sample size, the study’s findings needed to be interpreted with caution.
The authors listed disclosures with several companies, including Merck Sharp & Dohme, Abbott, and Ferring, but they said that no commercial entity had any role in the study, and that the funding sources had no role in the study design, data collection, analysis, or interpretation.
On Twitter @naseemsmiller
Cyclosporine was no more effective than infliximab in patients with acute severe ulcerative colitis refractory to intravenous steroids, according to an open-label, randomized controlled trial of 115 patients.
However, the authors, led by Dr. David Laharie of the hepatology and gastroenterology service at Bordeaux (France) Hospital Center, said that their findings should be interpreted with caution because of the sample size. They added that treatment choice should be guided by physician and center experience.
As many as 40% of patients with acute severe ulcerative colitis who are admitted to the hospital are resistant to intravenous corticosteroids. For these patients, two drugs, cyclosporine or infliximab, have been used as rescue drugs to avoid colectomy.
Meanwhile, there haven’t been many studies comparing the two drugs. A 2012 systematic review of studies on cyclosporine and infliximab showed that the two were comparable, but randomized trials were needed, the review authors noted (Int. J. Colorectal. Dis. 2012 Nov. 1 [Epub ahead of print]). The current study, according to Dr. Laharie and his colleagues, is the first randomized trial to address the issue (Lancet 2012;380:1909-15).
For the 98-day open-label study, researchers randomized 115 patients to cyclosporine (58 patients) or infliximab (57). The patients were admitted for acute severe flare of ulcerative colitis (Lichtiger score greater than 10 points) to one of the 27 European centers participating in the study between June 1, 2007, and Aug. 31, 2010. They were 18 years or older (mean, 37.5 years), and had never received cyclosporine or infliximab. Contraception during the trial and for 3 months after was mandatory for patients of childbearing age.
The primary endpoint was treatment failure at any time, including absence of clinical response on day 7, relapse between day 7 and day 98, absence of steroid-free remission at day 98, or a severe adverse event leading to interruption of treatment, colectomy, or death. The secondary endpoints included clinical response at day 7, time to clinical response, mucosal healing at day 98, colectomy-free survival, and safety.
Treatment failed in 35 patients (60%) who were receiving cyclosporine, and in 31 patients (54%) who were given infliximab (absolute risk difference of 6%, P = .52). There were no significant differences between the two groups’ suboutcomes, such as responses at day 7 and colectomy rates at day 98. Both drugs were well tolerated, and there were no serious infections or deaths during the trial period.
The authors noted several limitations of the study. Treatment assignments were open label. The use of composite criteria as a primary outcome, rather than colectomy alone, "probably restricted the effect of unmasking on therapeutic decisions," they wrote. Also, the study was powered to detect a large difference between the effect of the two drugs. In addition, they said that because of the sample size, the study’s findings needed to be interpreted with caution.
The authors listed disclosures with several companies, including Merck Sharp & Dohme, Abbott, and Ferring, but they said that no commercial entity had any role in the study, and that the funding sources had no role in the study design, data collection, analysis, or interpretation.
On Twitter @naseemsmiller
FROM THE LANCET
Major Finding: Treatment failed in 60%, or 35 patients who were receiving cyclosporine, and 54%, or 31 patients who were given infliximab (absolute risk difference of 6%, P = 0.52).
Data Source: A 98-day open-label study of 115 patients randomly assigned to cyclosporine (58 patients) or infliximab (57), admitted to one of the 27 European centers participating in the study between June 1, 2007, and Aug. 31, 2010.
Disclosures: The authors listed disclosures with several companies, including Merck Sharp & Dohme, Abbott, and Ferring, but they said that no commercial entity had any role in the study, and that the funding sources had no role in the study design, data collection, analysis, or interpretation.
Vasoactive agents lower mortality in patients with acute variceal bleeds
Clinical question
For patients with acute variceal bleeds, does the use of vasoactive agents improve outcomes?
Bottom line
The use of vasoactive agents such as vasopressin, somatostatin, and octreotide decreases the risk of all-cause mortality in patients with acute variceal bleeding. LOE = 1a-
Reference
Study Design
Meta-analysis (randomized controlled trials)
Funding Source
Self-funded or unfunded
Allocation
Uncertain
Setting
Inpatient (any location)
Synopsis
Vasoactive agents such as vasopressin and somatostatin and their analogues (terlipressin, vapreotide and octreotide) are used to treat acute variceal bleeding. These investigators searched EMBASE, MEDLINE, and the EBM Reviews databases to identify randomized controlled trials that compared the intravenous use of these vasoactive agents with each other or with placebo in adults presenting with variceal bleeding. Two investigators independently selected the studies, abstracted data, and assessed study quality. The final selection included 30 studies that compared vasoactive medications with placebo (n = 3111) and 27 studies that compared different vasoactive agents with each other (n = 2293). Moderate-quality evidence showed that vasoactive agents decreased 7-day mortality risk compared with placebo or routine medical management (relative risk = 0.74; 95% CI, 0.57-0.95; P = .02). There was also evidence of decreased risk of rebleeding, decreased transfusion requirements, and shorter hospital stays with the use of vasoactive agents although the quality of this evidence was low to moderate. For the studies comparing different agents with each other, there was no difference in mortality detected.
Clinical question
For patients with acute variceal bleeds, does the use of vasoactive agents improve outcomes?
Bottom line
The use of vasoactive agents such as vasopressin, somatostatin, and octreotide decreases the risk of all-cause mortality in patients with acute variceal bleeding. LOE = 1a-
Reference
Study Design
Meta-analysis (randomized controlled trials)
Funding Source
Self-funded or unfunded
Allocation
Uncertain
Setting
Inpatient (any location)
Synopsis
Vasoactive agents such as vasopressin and somatostatin and their analogues (terlipressin, vapreotide and octreotide) are used to treat acute variceal bleeding. These investigators searched EMBASE, MEDLINE, and the EBM Reviews databases to identify randomized controlled trials that compared the intravenous use of these vasoactive agents with each other or with placebo in adults presenting with variceal bleeding. Two investigators independently selected the studies, abstracted data, and assessed study quality. The final selection included 30 studies that compared vasoactive medications with placebo (n = 3111) and 27 studies that compared different vasoactive agents with each other (n = 2293). Moderate-quality evidence showed that vasoactive agents decreased 7-day mortality risk compared with placebo or routine medical management (relative risk = 0.74; 95% CI, 0.57-0.95; P = .02). There was also evidence of decreased risk of rebleeding, decreased transfusion requirements, and shorter hospital stays with the use of vasoactive agents although the quality of this evidence was low to moderate. For the studies comparing different agents with each other, there was no difference in mortality detected.
Clinical question
For patients with acute variceal bleeds, does the use of vasoactive agents improve outcomes?
Bottom line
The use of vasoactive agents such as vasopressin, somatostatin, and octreotide decreases the risk of all-cause mortality in patients with acute variceal bleeding. LOE = 1a-
Reference
Study Design
Meta-analysis (randomized controlled trials)
Funding Source
Self-funded or unfunded
Allocation
Uncertain
Setting
Inpatient (any location)
Synopsis
Vasoactive agents such as vasopressin and somatostatin and their analogues (terlipressin, vapreotide and octreotide) are used to treat acute variceal bleeding. These investigators searched EMBASE, MEDLINE, and the EBM Reviews databases to identify randomized controlled trials that compared the intravenous use of these vasoactive agents with each other or with placebo in adults presenting with variceal bleeding. Two investigators independently selected the studies, abstracted data, and assessed study quality. The final selection included 30 studies that compared vasoactive medications with placebo (n = 3111) and 27 studies that compared different vasoactive agents with each other (n = 2293). Moderate-quality evidence showed that vasoactive agents decreased 7-day mortality risk compared with placebo or routine medical management (relative risk = 0.74; 95% CI, 0.57-0.95; P = .02). There was also evidence of decreased risk of rebleeding, decreased transfusion requirements, and shorter hospital stays with the use of vasoactive agents although the quality of this evidence was low to moderate. For the studies comparing different agents with each other, there was no difference in mortality detected.
CABG superior to PCI in diabetics with multivessel CAD (FREEDOM)
Clinical question
For patients with diabetes and multivessel coronary artery disease, which revascularization strategy provides better outcomes?
Bottom line
Revascularization using coronary artery bypass grafting (CABG), as compared with percutaneous coronary intervention (PCI), significantly reduces long-term mortality as well as decreases the rate of myocardial infarctions in diabetic patients with multivessel coronary artery disease (CAD). The number needed to treat is 13. Of note, patients who undergo CABG are more likely to have a stroke, but this occurs mostly during the 30-day period following the procedure. LOE = 1b-
Reference
Study Design
Randomized controlled trial (nonblinded)
Funding Source
Industry + govt
Allocation
Concealed
Setting
Inpatient (any location)
Synopsis
Using concealed allocation, these investigators enrolled 1900 patients with diabetes and multivessel CAD to receive either PCI with drug-eluting stents or CABG surgery. Most enrolled patients were men, had a mean age of 63 years, and 83% of the total group had evidence of 3-vessel disease. The use of appropriate cardiac medications, including statins and beta-blockers, was similar in the 2 groups, although patients in the PCI group were more likely to receive thienopyridines such as clopidogrel after 5 years of follow-up. Analysis was by intention to treat. Five years after revascularization, the primary composite outcome of all-cause mortality, nonfatal myocardial infarction, or nonfatal stroke was more likely in the PCI group than in the CABG group (26.6% vs 18.7%; P = .005). This was due to increased rates of death and myocardial infarction in the PCI group (for death: 16.3% vs 10.9%; P = .049; for MI: 13.9% vs 6%; P < .001). The CABG group did, however, have a higher rate of stroke at 5 years (5.2% vs 2.4%; P = .03). The majority of these strokes occurred during the first 30 days following revascularization.
Clinical question
For patients with diabetes and multivessel coronary artery disease, which revascularization strategy provides better outcomes?
Bottom line
Revascularization using coronary artery bypass grafting (CABG), as compared with percutaneous coronary intervention (PCI), significantly reduces long-term mortality as well as decreases the rate of myocardial infarctions in diabetic patients with multivessel coronary artery disease (CAD). The number needed to treat is 13. Of note, patients who undergo CABG are more likely to have a stroke, but this occurs mostly during the 30-day period following the procedure. LOE = 1b-
Reference
Study Design
Randomized controlled trial (nonblinded)
Funding Source
Industry + govt
Allocation
Concealed
Setting
Inpatient (any location)
Synopsis
Using concealed allocation, these investigators enrolled 1900 patients with diabetes and multivessel CAD to receive either PCI with drug-eluting stents or CABG surgery. Most enrolled patients were men, had a mean age of 63 years, and 83% of the total group had evidence of 3-vessel disease. The use of appropriate cardiac medications, including statins and beta-blockers, was similar in the 2 groups, although patients in the PCI group were more likely to receive thienopyridines such as clopidogrel after 5 years of follow-up. Analysis was by intention to treat. Five years after revascularization, the primary composite outcome of all-cause mortality, nonfatal myocardial infarction, or nonfatal stroke was more likely in the PCI group than in the CABG group (26.6% vs 18.7%; P = .005). This was due to increased rates of death and myocardial infarction in the PCI group (for death: 16.3% vs 10.9%; P = .049; for MI: 13.9% vs 6%; P < .001). The CABG group did, however, have a higher rate of stroke at 5 years (5.2% vs 2.4%; P = .03). The majority of these strokes occurred during the first 30 days following revascularization.
Clinical question
For patients with diabetes and multivessel coronary artery disease, which revascularization strategy provides better outcomes?
Bottom line
Revascularization using coronary artery bypass grafting (CABG), as compared with percutaneous coronary intervention (PCI), significantly reduces long-term mortality as well as decreases the rate of myocardial infarctions in diabetic patients with multivessel coronary artery disease (CAD). The number needed to treat is 13. Of note, patients who undergo CABG are more likely to have a stroke, but this occurs mostly during the 30-day period following the procedure. LOE = 1b-
Reference
Study Design
Randomized controlled trial (nonblinded)
Funding Source
Industry + govt
Allocation
Concealed
Setting
Inpatient (any location)
Synopsis
Using concealed allocation, these investigators enrolled 1900 patients with diabetes and multivessel CAD to receive either PCI with drug-eluting stents or CABG surgery. Most enrolled patients were men, had a mean age of 63 years, and 83% of the total group had evidence of 3-vessel disease. The use of appropriate cardiac medications, including statins and beta-blockers, was similar in the 2 groups, although patients in the PCI group were more likely to receive thienopyridines such as clopidogrel after 5 years of follow-up. Analysis was by intention to treat. Five years after revascularization, the primary composite outcome of all-cause mortality, nonfatal myocardial infarction, or nonfatal stroke was more likely in the PCI group than in the CABG group (26.6% vs 18.7%; P = .005). This was due to increased rates of death and myocardial infarction in the PCI group (for death: 16.3% vs 10.9%; P = .049; for MI: 13.9% vs 6%; P < .001). The CABG group did, however, have a higher rate of stroke at 5 years (5.2% vs 2.4%; P = .03). The majority of these strokes occurred during the first 30 days following revascularization.