Abstract
BACKGROUND
The current frequency of noninvasive (NIV) and invasive mechanical ventilation use in asthma exacerbations (AEs) and the relationship to outcomes are unknown.
METHODS
We used the Healthcare Cost and Utilization Project Nationwide Inpatient Sample to identify patients discharged with a principal diagnosis of AE. For each discharge, we determined whether NIV or invasive mechanical ventilation was initiated during the first 2 hospital days. Using multivariate logistic regression to adjust for potential confounders, we determined whether use of mechanical ventilation and in-hospital mortality changed between 2000 and 2008.
RESULTS
The number of AEs increased by 15.8% from 2000 to 2008. The proportion of admissions for which invasive mechanical ventilation was used during the first 2 days decreased from 1.4% in 2000 to 0.73% in 2008, whereas NIV use increased from 0.34% to 1.9%. The adjusted mortality from AEs requiring NIV or invasive mechanical ventilation was unchanged from 2000 to 2008. The hospital stay was also unchanged.
CONCLUSIONS
There was a substantial increase in the use of mechanical ventilation, accompanied by a shift from invasive mechanical ventilation to NIV. Although we could not determine the clinical reasons for this increase, hospital stay and mortality were unchanged. A randomized trial is needed to determine whether NIV can improve outcomes in AEs before widespread adoption makes it impossible to conduct such a trial.
Keywords: asthma, mechanical ventilation, intensive care unit
Introduction
Asthma is a common illness with a spectrum of presentation ranging from mild disease to a severe resistant phenotype resulting in respiratory failure requiring mechanical ventilation. Asthma exacerbations (AEs) account for ~2 million emergency department visits annually in the United States, 25% of which lead to hospitalization.1 Although asthma-related hospitalizations rarely end in death,2 ~10% do include an ICU stay3. A significant fraction of patients hospitalized for AEs (2–4%) require mechanical ventilation; their mortality has been reported to be as high as 22%.3–8 However, most studies of the outcomes of patients hospitalized for asthma reflect the experience at a single center, limiting inference about national outcomes.
The use of noninvasive ventilation (NIV) for acute respiratory failure has gained wide acceptance, and indications for its use have expanded over the past decade.9,10 Improved outcomes from the avoidance of complications of endotracheal intubation and invasive mechanical ventilation have been demonstrated for diseases such as exacerbations of COPD,11,12 acute cardiogenic pulmonary edema,13 and respiratory failure in immunocompromised patients.14 Although sporadic single-center reports have described NIV use for AEs, its benefits in this setting are not well established15–19; hence, its use remains controversial. We suspect, however, that increasing familiarity with the use of NIV combined with the fact that it can be used outside of the ICU has led to its broader use in AEs.
We therefore carried out the present study to describe changes in the patterns of invasive mechanical ventilation and NIV use in AEs over time. We hypothesized that NIV use rose while invasive mechanical ventilation use fell since NIV has become more widely used for other indications. To test our hypothesis, enhance the generalizability of our results, and detect small but important differences, we utilized a large nationally representative administrative database from 2000 to 2008. To better understand the impact of changes in the use of these modalities, we also describe the associated changes in mortality and other outcomes.
Methods
Data Source
We used the Healthcare Cost and Utilization Project Nationwide Inpatient Sample (NIS), which is an administrative database that was created by the Agency for Healthcare Research and Quality and that contains data from an ~20% sample of United States community hospitals. Each hospitalization is treated as an individual entry in the database; the principal diagnosis, up to 14 secondary diagnoses, and 15 procedural diagnoses associated with that stay are coded using the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM). The details of NIS can be found online.20 We used data from 2000 to 2008 for the purposes of our study.
Since we used a publically available database without patient identifiers, our study was examined and found exempt from formal review by the Institutional Review Board of the Medical College of Wisconsin.
Study Population
We identified adult patients (18 y of age or older) discharged with a principal diagnosis of AE (ICD-9-CM code 493.XX). We excluded patients with a secondary diagnosis of pneumonia (ICD-9-CM codes 480–486), severe sepsis,21 or COPD (ICD-9-CM codes 490–492 and 496) since mechanical ventilation in these patients may result from these secondary diagnoses rather than AE itself (Fig. 1). We included patients with ICD-9-CM codes indicating the presence of sleep apnea syndromes in our analysis because of the overlap between sleep-disordered breathing and asthma, especially difficult-to-control asthma.22 For our analysis of mechanical ventilation use and outcomes, we excluded admissions with missing data regarding mortality, age, and gender.
Outcomes
Our primary outcome of interest was use of any type of mechanical ventilation. We used ICD-9-CM codes to identify patients receiving NIV (code 93.90) or invasive mechanical ventilation (code 96.7X). NIS includes the hospital day mechanical ventilation is initiated; we were thus able to determine time-to-mechanical ventilation in days after admission. Because mechanical ventilation use for AEs is typically initiated around the time of admission, our primary analysis examined mechanical ventilation use initiated only on the first or second hospital day. We also examined use of invasive mechanical ventilation and NIV separately. For these analyses, we classified those who received both NIV and invasive mechanical ventilation during the first 2 hospital days with those receiving only invasive mechanical ventilation. To account for the increasing prevalence of sleep-disordered breathing and the utilization of NIV for these diagnoses, we also examined the use of NIV by excluding patients who had obstructive sleep apnea (OSA) coded as a secondary diagnosis.
We used the discharge destination variable to determine in-hospital mortality and whether surviving patients were discharged to a nursing home or home with home health care.
As secondary outcomes, we examined hospital stay, prolonged invasive mechanical ventilation (defined by invasive mechanical ventilation on 4 or more hospital days), and whether the patient developed a pneumothorax (ICD- 9-CM codes 512 and 998.2) and received a tracheostomy (ICD-9-CM codes 31.1 and 31.2).
Definition of Variables
We used NIS variables to identify patient age, gender, and race. Information of race was missing in ~20% of records through the different years. We classified those with missing race information together in an “unknown” group. We used hospital teaching status, size, and ownership categories provided by NIS.
We used ICD-9-CM codes to identify comorbid conditions based on prior work or our clinical experience that would influence either the decision to use mechanical ventilation or the outcome of the AE. These included diabetes mellitus (code 250), congestive heart failure (code 428), cancer (codes 140–208), morbid obesity (codes 278.01 and V85.4), alcoholism (codes 291, 303.0, 303.9, and 305.0), and smoking (codes 305.1 and V15.82). We assessed the overall burden of comorbid conditions using Deyo’s modification of the Charlson comorbidity index.23 The Charlson comorbidity index is the sum of weights assigned to each of 17 comorbid diseases, with higher scores corresponding to a greater comorbidity burden. In our population, the Charlson comorbidity index ranged from 1 to 16.
Statistical Analysis
We performed all analysis using statistical software (Stata/IC 11.0, StataCorp, College Station, Texas). We first used Strata weights and survey estimation commands to generate national estimates of the number of hospitalizations for AEs in each study year and the proportion of those hospitalizations during which patients received mechanical ventilation.
To examine more closely changes in mechanical ventilation use over this period, we compared patients admitted with AEs in 2000 with those admitted in 2008 using the Pearson chi-square test for categorical variables; we used Student’s t test or the Wilcoxon rank-sum test to compare continuous variables as appropriate for their distribution. We created dummy variables for each age group and race and insurance categories to compare them individually. To describe changes in the characteristics of patients receiving each form of mechanical ventilation, we made similar bivariate comparisons between patients receiving invasive mechanical ventilation for AEs during the years 2000 and 2008 and also between those receiving NIV in the same years. We made these comparisons both overall and in the subgroups that received no mechanical ventilation, NIV only, or invasive mechanical ventilation.
We then used multivariate logistic regression to examine the relative odds of receiving either form of mechanical ventilation in 2008 versus 2000, adjusting for potential confounders. First, we tested the bivariate association of putative risk factors with receipt of mechanical ventilation and then included those found significant at P < .10 in our final multivariate model. We also included factors clinically known to influence receipt of either form of mechanical ventilation regardless of their significance. To account for interactions between variables, we examined all twoway interaction terms and retained those found significant in our model. For the variables we included in our final model, both the tolerance and the variance inflation factor were close to unity, indicating minimal collinearity. We then forced year into this final model to determine whether it added significantly to the model and to estimate the magnitude of any change from 2000 to 2008. In sensitivity analyses, we examined all mechanical ventilation regardless of whether it was initiated during the first 2 hospital days, with results that were qualitatively similar, so we do not present these analyses. We then repeated this analysis using receipt of invasive mechanical ventilation as the outcome variable, excluding those patients who received NIV. Finally, we performed the analysis using receipt of NIV as the outcome variable, excluding those who received invasive mechanical ventilation.
We then constructed a multivariate model using techniques similar to those described above to determine whether in hospital mortality changed from 2000 to 2008. We also compared risk of mortality in our 3 a priori defined subgroups: (1) no mechanical ventilation, (2) invasive mechanical ventilation, and (3) NIV only. We repeated our mortality analysis considering only those deaths that occurred within 3 days of admission; the results were similar and are not presented. We used a similar approach to determine whether hospital stay had changed from 2000 to 2008 and whether this pattern differed among patients receiving invasive mechanical ventilation, NIV, or neither. In this analysis, we used log (hospital stay) as our outcome variable since hospital stay has a highly skewed distribution, and we used linear rather than logistic regression.
Results
We identified a total of 2,476,955 hospitalizations with the principal diagnosis of AE in adults over 18 years of age from 2000 to 2008 in the United States. After excluding those with COPD, pneumonia, and severe sepsis as secondary diagnoses, we were left with 2,291,729 discharges. The number of hospitalizations for AEs increased by 15.8% over the 9-year study period (from 226,385 discharges in 2000 to 262,190 in 2008), as shown in Figure 2. The age of patients hospitalized with AEs increased from 2000 to 2008 (50.6 vs 55.2 years, P < .001); the proportion of hospitalizations involving patients 50 years old or older increased from 47.9% to 60.7% (Appendixes 1 and 2). (See the supplementary materials at http://www.rcjournal.com.) The degree of comorbidity as measured by the Charlson comorbidity index also increased. For clarity, the demographic and clinical characteristics of patients hospitalized with AEs for the years 2000 and 2008 are presented in Tables 1 and 2. Appendixes 6–8 show the characteristics of patients in each individual year from 2000 to 2008.
Table 1.
Patient Characteristics | 2000 | 2008 | P |
---|---|---|---|
Total | 226,385 | 262,190 | |
Mean age ± SD y | 50.6 ± 18.1 | 55.2 ± 17.8 | < .001 |
Age category, % | |||
18–34 y* | 20.4 | 13.1 | < .001 |
35–49 y* | 31.7 | 26.2 | < .001 |
50–64 y* | 23.3 | 29.5 | < .001 |
65–79 y* | 17 | 20.2 | < .001 |
80 y or older* | 7.6 | 11 | < .001 |
Gender, % | |||
Female* | 73.8 | 72.4 | 0.004 |
Race, % | |||
Caucasian | 43.8 | 46.9 | 0.20 |
African-American | 18.4 | 19.9 | 0.41 |
Hispanic | 9.5 | 10 | 0.75 |
Asian or Pacific Islander | 1.6 | 1.5 | 0.70 |
Other | 2.7 | 3.0 | 0.81 |
Unknown* | 23.9 | 18.6 | 0.04 |
Payer, % | |||
Medicare* | 30.5 | 40 | < .001 |
Medicaid | 20.2 | 19.2 | 0.51 |
Private* | 36.9 | 28.3 | < .001 |
Self | 8.3 | 8.4 | 0.89 |
Other | 4.2 | 4.2 | 0.9 |
Charlson/Deyo comorbidity index,* % | |||
1–2* | 94.9 | 86.2 | < .001 |
3–4* | 3.8 | 10.6 | < .001 |
5–6* | 0.1 | 1.7 | < .001 |
7 or more | 1.2 | 1.5 | 0.07 |
Comorbidities, % | |||
Diabetes mellitus* | 16.5 | 26.7 | < .001 |
Congestive heart failure* | 6.7 | 11.9 | < .001 |
Morbid obesity* | 3.2 | 9.4 | < .001 |
Cancer* | 4.0 | 6.2 | < .001 |
Alcoholism* | 1.6 | 2.1 | < .001 |
Smoking* | 15 | 33.2 | < .001 |
OSA* | 2.7 | 10.3 | < .001 |
Hospital characteristics, % | |||
Teaching | 41.6 | 42.2 | 0.88 |
Hospital size | |||
Small | 12.5 | 14.2 | < .001 |
Medium | 31.9 | 26.1 | < .001 |
Large | 55.6 | 59.7 | < .001 |
Hospital ownership | |||
Government, nonfederal | 14.7 | 13.5 | < .001 |
Private, nonprofit | 73.3 | 72.3 | 0.74 |
Private, investor-owned | 12.0 | 14.2 | < .001 |
Mechanical ventilation, n (%) | |||
Total NIV* | 796 (0.35) | 4908 (1.9) | < .001 |
NIV in patients without OSA* | 486 (0.21) | 2987 (1.1) | < .001 |
Total invasive mechanical ventilation* | 3095 (1.4) | 1931 (0.73) | < .001 |
Any mechanical ventilation (invasive mechanical ventilation + NIV) | 3891 (1.8) | 6839 (2.6) | < .001 |
Significant difference between 2000 and 2008 at P < .05
OSA = obstructive sleep apnea
NIV = noninvasive ventilation
Table 2.
Patient Characteristics | NIV in First 2 Days | Invasive Mechanical Ventilation in First 2 Days | ||
---|---|---|---|---|
2000 | 2008 | 2000 | 2008 | |
Total | 796 | 4908 | 3095 | 1931 |
Mean age ± SD y | 50.2 ± 14.7 | 54.6 ± 15.8* | 47.5 ± 17.3 | 48.1 ± 17.2 |
Age category, % | ||||
18–34 y | 14.5 | 10.5 | 26.5 | 24.9 |
35–49 y | 37.1 | 29.6 | 31.9 | 30.1 |
50–64 y | 30.2 | 32.9 | 22.9 | 26.2 |
65–79 y | 15.1 | 19.7 | 13.7 | 13.3 |
80 y or older | 3.1 | 7.3 | 5.1 | 5.5 |
Sex, % | ||||
Male | 27.0 | 34.1 | 35.6 | 32.5 |
Race, % | ||||
Caucasian | 42.3 | 45.7 | 38.5 | 44.9 |
African-American | 36.7 | 30.3 | 26.6 | 29.3 |
Hispanic | 8.0 | 11.1 | 14.5 | 9.0 |
Asian | - | 1.6 | 5.7 | 2.5* |
Other | 7.9 | 2.9 | 4.4 | 5.9 |
Unknown | 5.0 | 8.5 | 10.3 | 8.4 |
Payer, % | ||||
Medicare | 33.3 | 43.8* | 21.7 | 27.3 |
Medicaid | 28.8 | 21.6 | 26.6 | 23 |
Private | 30.4 | 24.2 | 36.3 | 28.3* |
Self | 6.4 | 6.3 | 10.8 | 14.2 |
Other | 1.2 | 4.2 | 4.6 | 7.2 |
Charlson/Deyo comorbidity index, % | ||||
1–2 | 94.9 | 82.5* | 95.4 | 85.9* |
3–4 | 3.2 | 14.5* | 3.8 | 10.7* |
5–6 | 2.3 | 0.1 | 2.5* | |
7 or more | 1.8 | 0.8 | 0.7 | 0.8 |
Co-morbidities, % | ||||
Diabetes mellitus | 27.4 | 34.9 | 12.3 | 23.8* |
Congestive heart failure | 19.7 | 22.4 | 7.9 | 13.5* |
Morbid obesity | 17.5 | 24.9 | 2.5 | 8.9* |
Cancer | 2.5 | 5.2 | 2.3 | 4.1 |
Alcoholism | 2.5 | 2.5 | 5.7* | |
Smoking | 20.4 | 36.8* | 12.4 | 34.7* |
Hospital Characteristics, % | ||||
Teaching | 56.8 | 56.6 | 56.7 | 55.3 |
Hospital size | ||||
Small | 10.1 | 14.3 | 12.9 | 7.6* |
Medium | 26.0 | 23.0 | 34.5 | 30.5 |
Large | 63.9 | 62.7 | 52.5 | 61.9* |
Hospital ownership | ||||
Government, nonfederal | 12.6 | 14.6 | 19.1 | 18.1 |
Private, nonprofit | 78.9 | 75.5 | 69.8 | 69.3 |
Private, investor-owned | 8.4 | 9.8 | 11.1 | 12.6 |
Significant difference between 2000 and 2008 at P < .05
NIV = noninvasive ventilation
Use of Mechanical Ventilation
In unadjusted analyses, the proportion of patients hospitalized for AEs receiving mechanical ventilation (invasive mechanical ventilation or NIV) increased by 45% from 2000 to 2008. This was due primarily to an increase in the proportion of hospitalizations involving NIV by > 400%, from 0.35% of all AEs in 2000 to 1.9% in 2008, an annualized increase of 49%. Conversely, the proportion of AE hospitalizations involving invasive mechanical ventilation fell by 50%, from 1.4% to 0.73% (see Table 1 and Fig. 2), an annualized decrease of 5.3%. After adjustment for potential confounding factors, the odds of patients hospitalized with AEs in 2008 receiving any form of mechanical ventilation were over twice that in 2000 (odds ratio [OR] 2.43, 95% CI 1.19–4.94) (Appendix 3). This was accompanied by a decrease in the odds of receiving invasive mechanical ventilation by 50% (OR 0.52, 95% CI 0.46–0.59) and a tripling of the odds of receiving NIV (OR 3.47, 95% CI 2.94–4.10) (Appendixes 4 and 5). Even after exclusion of patients with OSA, the proportion receiving NIV rose by > 500% (0.21% in 2000 to 1.1% in 2008) (see Table 1).
Outcomes
Between 2000 and 2008, the case fatality rate among patients hospitalized with AEs decreased (0.33% vs 0.28%). The case fatality rates among patients receiving no mechanical ventilation, NIV, and invasive mechanical ventilation were unchanged between 2000 and 2008, although the 3-day mortality for patients who did not require mechanical ventilation was lower in 2008 compared with 2000. However, after adjusting for demographic, clinical, and hospital characteristics, the odds of in-patient mortality were significantly lower in 2008 than in 2000 (OR 0.64, 95% CI 0.51– 0.81) (Table 3).
Table 3.
Models | Risk of Death in 2000 vs 2008, Odds Ratio (95% CI) |
---|---|
Unadjusted | 0.83 (0.66–1.04) |
Adjusted for demographics (age, gender, race)* | 0.67 (0.53–0.84) |
Adjusted for demographics and comorbidity index* | 0.58 (0.45–0.73) |
Adjusted for above and mechanical ventilation* | 0.64 (0.51–0.81) |
Subgroup analysis adjusting for demographics and comorbidity index | |
Among those not receiving mechanical ventilation* | 0.57 (0.45–0.73) |
Among those receiving early NIV | 0.41 (0.07–2.14) |
Among those receiving early invasive mechanical ventilation | 1.08 (0.63–1.84) |
Significant difference between 2000 and 2008 at P < .05
NIV = noninvasive ventilation
When we examined subgroups defined by mechanical ventilation use, we found that the odds of in-hospital death decreased among patients not receiving mechanical ventilation (OR 0.57, 95% CI 0.45– 0.73) and those receiving NIV (OR 0.41, 95% CI 0.07–2.14), although the decrease in the latter was not significant. In addition, the decrease in the number of patients receiving invasive mechanical ventilation, who have the greatest risk, also contributed to the overall improved mortality. Among patients receiving any form of mechanical ventilation, both the unadjusted and adjusted mortalities were not different between 2000 and 2008 (Tables 3 and 4). Age and receipt of mechanical ventilation were the most influential predictors of mortality in patients with asthma. The OR for mortality compared with patients who did not receive mechanical ventilation increased from 4.78 among those who received NIV only (95% CI 3.58–6.39) to 35.1 among those who received invasive mechanical ventilation as their initial form of mechanical ventilation (95% CI 30.3– 40.7) (Table 5).
Table 4.
2000 | 2008 | |||||
---|---|---|---|---|---|---|
No Mechanical Ventilation |
NIV | Invasive Mechanical Ventilation |
No Mechanical Ventilation |
NIV | Invasive Mechanical Ventilation |
|
All cause in-hospital mortality, % | 0.24 | 1.22 | 6.37 | 0.21 | 0.84 | 6.92 |
3-d mortality, % | 0.08 | 2.3 | 0.05* | 0.6 | 4.5 | |
Prolonged mechanical ventilation (> 96 h) | 23.1 | 18.2 | ||||
Tracheostomy, % | 0.8 | 1.5 | ||||
Pneumothorax, % | 0.9 | 1.2 | ||||
Disposition in survivors, % | ||||||
Home | 89.3 | 76.9 | 75.6 | 84.5* | 76.2 | 70.9 |
Home with home care | 4.3 | 15.5 | 7.0 | 7.7* | 13.2 | 11.8* |
Inter-hospital transfer | 0.7 | 0.6 | 5.6 | 0.7 | 1.0 | 4.6 |
Skilled nursing facility† | 3.5 | 5.1 | 7.0 | 4.7* | 6.3 | 9.0 |
AMA/unknown | 2.3 | 1.9 | 5.1 | 2.4 | 3.4 | 3.6 |
Median hospital stay, d (interquartile range) | 3 (2–5) | 4 (2–7) | 5 (3–8) | 3 (2–5) | 4 (2–6) | 5 (3–8) |
Significant difference between 2000 and 2008 at P < .05
Also includes intermediate care
NIV = noninvasive ventilation
AMA = against medical advice
Table 5.
Predictors | Odds Ratio (95% CI) |
---|---|
Mechanical ventilation | |
No mechanical ventilation | Reference |
NIV* | 4.78 (3.58–6.39) |
Invasive mechanical ventilation* | 35.1 (30.3–40.7) |
Age category | |
18–34 y | Reference |
35–49 y* | 1.80 (1.26–2.57) |
50–64 y* | 4.59 (3.29–6.41) |
65–70 y* | 12.3 (8.71–17.3) |
80 y or older* | 25.6 (18.0–36.4) |
Gender, % | |
Male | Reference |
Female* | 0.79 (0.70–0.88) |
Race, % | |
Caucasian | Reference |
African-American* | 0.74 (0.62–0.87) |
Hispanic* | 0.48 (0.38–0.61) |
Asian | 0.94 (0.70–1.26) |
Other | 0.63 (0.42–0.93) |
Unknown | 0.89 (0.78–1.02) |
Primary Payer, % | |
Medicare | Reference |
Medicaid | 1.14 (0.92–1.40) |
Private | 0.92 (0.77–1.10) |
Self | 1.00 (0.73–1.38) |
Other | 1.31 (0.93–1.85) |
Charlson/Deyo comorbidity index, % | |
1–2 | Reference |
3–4* | 2.12 (1.84–2.44) |
5–6* | 2.87 (1.95–4.21) |
7 or more* | 5.25 (4.01–6.88) |
Hospital characteristics, % | |
Nonteaching hospital | Reference |
Teaching hospital | 1.00 (0.90–1.12) |
Pneumothorax* Year | |
2000 | Reference |
2001 | 1.16 (0.93–1.45) |
2002 | 0.97 (0.78–1.21) |
2003 | 1.03 (0.83–1.27) |
2004 | 0.89 (0.71–1.11) |
2005* | 0.74 (0.59–0.93) |
2006* | 0.72 (0.57–0.91) |
2007* | 0.67 (0.53–0.85) |
2008* | 0.64 (0.51–0.81) |
Multivariate analysis
Significant at P < .05
NIV = noninvasive ventilation
The median stay of patients requiring invasive mechanical ventilation or NIV was similar in 2000 and 2008 (see Table 4). Patients who initially required NIV and later required invasive mechanical ventilation had a similar hospital stay in 2000 (4.5 d, interquartile range 2.5–11) and 2008 (6.5 d, interquartile range 4–10); their hospital stay was not significantly different from that of patients who required invasive mechanical ventilation from the outset.
The proportion of patients who received prolonged invasive mechanical ventilation (≥ 96 h) was similar in 2000 and 2008 (23.1% vs 18.2%). The rates of pneumothoraces and tracheostomies were not significantly different between 2000 and 2008 (see Table 4). In unadjusted analyses, survivors were more likely to be discharged to a health care facility (generally, a skilled nursing facility) or home with home health care in 2008. Detailed outcomes of patients for each individual year classified by utilization of mechanical ventilation are shown in Appendix 9.
Discussion
We report that, from 2000 to 2008, a 5-fold increase in the use of NIV led to a significant increase in the overall use of mechanical ventilation among adults hospitalized with AEs, despite a significant decline in invasive mechanical ventilation. The increment in utilization of NIV was the same even after excluding patients with OSA. This increase also persisted after adjusting for the fact that adults hospitalized for AEs in 2008 were older and had more comorbidities. The adjusted odds of receiving mechanical ventilation more than doubled, and NIV use was more than 3 times higher in 2008, whereas invasive mechanical ventilation use declined by nearly 2-fold. During this same period, the odds of mortality, adjusted for differences in patient characteristics, decreased by one third.
Our finding of a remarkable increase in use of NIV is consistent with several single-center reports of increased use of NIV for asthma.6–19,24 Like us, the authors noted that more NIV use was associated with less invasive mechanical ventilation use and shorter hospital stay. Although our administrative data do not allow us to confirm the improvement in physiological parameters (eg, FEV1 and arterial pH) that has been reported,15 it is possible that such changes contributed to our observed decrease in risk-adjusted mortality.
We observed that the overall case fatality rate of AEs remained unchanged from 2000 to 2008. This is consistent with other reports on asthma trends.25,26 However, after adjusting for changes in demographical and clinical characteristics, we found that the risk of mortality associated with hospitalization for acute asthma in 2008 was just 0.64 times that in 2000. To our knowledge, our study is the first to describe this remarkable decline. Although we cannot ascertain the reasons for this improvement from our administrative data sources, the national representation of our results makes them even more noteworthy.
It is unclear whether this declining mortality is related to changes in the patterns of mechanical ventilation since there have been substantial improvements in the management of both AEs27 and respiratory failure more generally,28 including increased use of protocols29,30 and quality improvement projects31,32 centered on the care of patients admitted with AEs. Certainly, our findings of exponential increases in the adjusted risk of mortality as patients move from requiring NIV (OR 4.78) to invasive mechanical ventilation (OR 35.1) likely reflect increasing severity of illness leading to increasing mortality. However, the phenomenon of a shift to the use of predominantly NIV and stable case fatality rates as well as hospital stay in both the invasive mechanical ventilation and NIV cohorts suggests that initial NIV use may spare some patients the risks associated with invasive mechanical ventilation. This raises the possibility that the use of NIV in place of invasive mechanical ventilation in appropriate patients may lower the risk of mortality associated with AE hospitalizations.
We must acknowledge several important limitations of our study. First, although ICD-9-CM codes for AEs have been previously validated and used, we cannot exclude the possibility of variations in accuracy of coding between hospitals.33 Second, important clinical detail such as the severity of asthma exacerbation, appropriate use of therapies (eg, steroids and bronchodilators), environment of provision of NIV (ICU vs non-ICU), and baseline pulmonary function cannot be ascertained in NIS. Particularly, provision of NIV may frequently occur outside of the ICU setting and would obscure important severity aspects in analysis of administrative data. Such detail, if available, would allow for more robust analysis of the predictors of mortality and need for mechanical ventilation. Similarly, although we adjusted our analysis for comorbid conditions, ICD-9-CM codes do not allow the detection of important clinical severity differences within each comorbid condition. Such differences may be significant confounders, for example, the association of obesity and asthma.34 Third, although procedure codes for invasive mechanical ventilation are reliable,35 the provision of such procedures may be unrelated to the asthma exacerbation itself. We tried to circumvent this problem by examining only mechanical ventilation administered during the first 2 days of AE hospitalization and by excluding patients with secondary diagnoses of COPD, pneumonia, and severe sepsis, common reasons for initiation of respiratory support. Nevertheless, other diagnoses such as OSA may be the reason for the presence of these codes. If patients with underlying sleep apnea syndromes hospitalized with asthma exacerbations continued their prescribed home NIV in the hospital, it is likely that our results would be confounded by the inclusion of patients with a lesser severity of illness in the NIV cohort, and our results would be biased toward lower risk-adjusted mortality in patients receiving NIV. However, exclusion of such patients did not change the proportional increase in the utilization of NIV. Finally, since NIS does not contain patient identifiers, we could not identify readmissions of the same patient. This meant we could not examine readmissions, an important outcome. It also means that we slightly underestimated the precision of our estimates since our statistical methods assume independent observations.
Despite its limitations, we believe that our study provides important information about trends in mechanical ventilation use for AEs and associated outcomes. The rapid increase in the proportion of patients receiving NIV has been associated with a significant decrease in adjusted mortality. Whereas this does not suggest a causal relationship, NIV use may be associated with improved mortality either by avoiding the risks of invasive mechanical ventilation or by allowing use of mechanical ventilation in a broader spectrum of patients with AEs. Because observational studies of new technologies are subject to a number of biases, we believe that more rigorous studies, such as randomized trials, should be a high priority. This need is supported by the risk of complications of NIV, which may be increased as it is used in less intensively monitored settings, and by the concern that NIV use may delay the use of needed invasive mechanical ventilation.36
Supplementary Material
QUICK LOOK.
Current knowledge
Asthma exacerbations (AEs) account for ~2 million emergency department visits annually in United States, one quarter of which lead to hospitalization. Approximately 10% of hospitalizations include an ICU stay, and a small fraction of patients (2–4%) require mechanical ventilation.
What this paper contributes to our knowledge
During an 8-year period from 2000 to 2008, the use of noninvasive ventilation increased by 5-fold, whereas the use of invasive ventilation declined for treatment of AEs. This was associated with a trend toward improved outcome in patients requiring ventilator support.
Footnotes
Supplementary material related to this paper is available at http://www.rcjournal.com.
The authors have declared no conflicts of interest.
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