Jennifer P. Stevens

When policy gets it right: variability in u.s. Hospitals' diagnosis of ventilator-associated pneumonia*.

Objective:The Centers for Disease Control has recently proposed a major change in how ventilator-associated pneumonia is defined. This has profound implications for public reporting, reimbursement, and accountability measures for ICUs. We sought to provide evidence for or against this change by quantifying limitations of the national definition of ventilator-associated pneumonia that was in place until January 2013, particularly with regard to comparisons between, and ranking of, hospitals and ICUs. Design:A prospective survey of a nationally representative group of 43 hospitals, randomly selected from the American Hospital Association Guide (2009). Subjects classified six standardized vignettes of possible cases of ventilator-associated pneumonia as pneumonia or no pneumonia. Subjects:Individuals responsible for ventilator-associated pneumonia surveillance at 43 U.S. hospitals. Interventions:None. Measurements and Main Results:We measured the proportion of standardized cases classified as ventilator-associated pneumonia. Of 138 hospitals consented, 61 partially completed the survey and 43 fully completed the survey (response rate 44% and 31%, respectively). Agreement among hospitals about classification of cases as ventilator-associated pneumonia/not ventilator-associated pneumonia was nearly random (Fleiss &kgr; 0.13). Some hospitals rated 0% of cases as having pneumonia; others classified 100% as having pneumonia (median, 50%; interquartile range, 33–66%). Although region of the country did not predict case assignment, respondents who described their region as “rural” were more likely to judge a case to be pneumonia than respondents elsewhere (relative risk, 1.25, Kruskal-Wallis chi-square, p = 0.03). Conclusions:In this nationally representative study of hospitals, assignment of ventilator-associated pneumonia is extremely variable, enough to render comparisons between hospitals worthless, even when standardized cases eliminate variability in clinical data abstraction. The magnitude of this variability highlights the limitations of using poorly performing surveillance definitions as methods of hospital evaluation and comparison, and our study provides very strong support for moving to a more objective definition of ventilator-associated complications.

Patient characteristics can predict improvement in functional health after elective coronary artery bypass grafting

BACKGROUND Despite many patients undergoing coronary artery bypass grafting (CABG) to improve their functional status, literature in this area is limited. The purpose of this study is to determine the effect of CABG on the functional health of an elective population and to identify preoperative patient characteristics associated with improved functional health after surgery. METHODS Physical and mental functional health was assessed before and 6 months after surgery with the Short-Form Health Survey (SF-36) in 1,061 consecutive patients undergoing elective, isolated CABG. Survey data were complete in 529 patients (49.9%). Preoperative information on patient demographics, severity of cardiovascular illness, and disease comorbidities was also prospectively collected. RESULTS Six months post-CABG the mean summary score for physical function improved by 31.9% over baseline (45.1 versus 34.2, p < 0.0001). The mean summary score for mental function improved by 7.3% over baseline (51.3 versus 47.8, p < 0.0001). Overall 73.2% of patients showed improvement in physical function and 41.6% showed improvement in mental function. Multivariate logistic regression identified certain preoperative characteristics as negative correlates of a significant improvement in physical functioning: body mass index 35 kg/m2 or greater, diabetes with sequelae, chronic obstructive pulmonary disease, peripheral vascular disease, and baseline physical function. Baseline mental function and chronic obstructive pulmonary disease were identified as negative correlates and older age as a positive correlate of significant improvement in mental functioning. CONCLUSIONS Patient characteristics exist that impact functional health after elective CABG. Knowledge of these characteristics may be helpful when counseling patients about expected improvement in functional health with CABG.

Automated Surveillance for Ventilator-Associated Events

BACKGROUND The US Centers for Disease Control and Prevention has implemented a new, multitiered definition for ventilator-associated events (VAEs) to replace their former definition of ventilator-associated pneumonia (VAP). We hypothesized that the new definition could be implemented in an automated, efficient, and reliable manner using the electronic health record and that the new definition would identify different patients than those identified under the previous definition. METHODS We conducted a retrospective cohort analysis using an automated algorithm to analyze all patients admitted to the ICU at a single urban, tertiary-care hospital from 2008 to 2013. RESULTS We identified 26,466 consecutive admissions to the ICU, 10,998 (42%) of whom were mechanically ventilated and 675 (3%) of whom were identified as having any VAE. Any VAE was associated with an adjusted increased risk of death (OR, 1.91; 95% CI, 1.53-2.37; P < .0001). The automated algorithm was reliable (sensitivity of 93.5%, 95% CI, 77.2%-98.8%; specificity of 100%, 95% CI, 98.8%-100% vs a human abstractor). Comparison of patients with a VAE and with the former VAP definition yielded little agreement (κ = 0.06). CONCLUSIONS A fully automated method of identifying VAEs is efficient and reliable within a single institution. Although VAEs are strongly associated with worse patient outcomes, additional research is required to evaluate whether and which interventions can successfully prevent VAEs.

Red Cell Distribution Width and Mortality in Newly Hospitalized Patients

OBJECTIVE Previous studies suggest that red cell distribution width, a measure of erythrocyte size variability, may predict long-term mortality, particularly in cardiovascular disease. Less research has focused on the prognostic utility of red cell distribution width in an acutely hospitalized population. METHODS We performed a secondary analysis of prospectively collected data on 74,784 consecutive hospitalized adults with red cell distribution width measured on admission. The primary outcome of interest was in-hospital mortality; a secondary outcome was unplanned transfer to the intensive care unit. We calculated multivariable logistic models adjusted for age, gender, race, and comorbid conditions. RESULTS The overall in-hospital mortality rate was 1.3% (95% confidence interval [CI], 1.2-1.4). As red cell distribution width increased, so did mortality, from 0.2% (lowest red cell distribution width decile) to 4.4% (highest red cell distribution width decile). Unadjusted red cell distribution width significantly discriminated between hospital survivors and nonsurvivors (area under the curve 0.74). In multivariate analyses, for every 1% increment in red cell distribution width at the time of admission, the odds for in-hospital mortality increased by 24% (odds ratio 1.24; 95% CI, 1.20-1.27); findings were robust across comorbidity subgroups. The rate of unplanned intensive care unit transfer was 7.0% (95% CI, 6.8-7.2) and in unadjusted analyses increased more than 2-fold from 4.5% in the lowest to 11.6% in the highest red cell distribution width decile. This relationship was significantly confounded but remained significant in multivariate analysis (odds ratio 1.04 per 1% red cell distribution width increment; 95% CI, 1.03-1.06). CONCLUSION Red cell distribution width strongly and independently predicted in-hospital mortality in this large cohort of hospitalized patients. It also was associated with acute decompensation among patients on the general ward, but to a lesser degree. The mechanisms underlying these findings are unknown.

Bacille Calmette Guérin immunization of health care workers exposed to multidrug-resistant tuberculosis: A decision analysis

SETTING North American health care workers with exposure to multidrug-resistant tuberculosis. OBJECTIVE To evaluate the relative utilities of bacille Calmette Guérin (BCG) immunization and post-infection chemoprophylaxis for the protection of health care workers exposed to multidrug-resistant Mycobacterium tuberculosis. DESIGN Decision analysis using SMLTREE software and published data for probabilities. RESULTS BCG vaccination was preferred by a small margin over post-infection chemoprophylaxis. Sensitivity analysis revealed that possible changes in probability values used tended to tilt the result towards use of BCG vaccination. The threshold for protective efficacy of BCG vaccination was 26%. CONCLUSIONS BCG vaccination should be considered for health care workers in environments where there is a substantial risk of exposure to multidrug-resistant tuberculosis.

Antipsychotic Use in Hospitalized Adults: Rates, Indications, and Predictors

To investigate patterns and predictors of use of antipsychotics in hospitalized adults.

Validation of an administrative coding algorithm for classifying surgical indication and operative features of spine surgery.

Study Design. Retrospective review of medical records and administrative data. Objective. Validate a claims-based algorithm for classifying surgical indication and operative features in lumbar surgery. Summary of Background Data. Administrative data are valuable to study rates, safety, outcomes, and costs in spine surgery. Previous research evaluates outcomes by procedure, not indications and operative features. One previous study validated a coding algorithm for classifying surgical indication. Few studies examined claims data for classifying patients by operative features. Methods. Patients undergoing lumbar decompression or fusion at a single institution in 2009 for back pain, herniated disc, stenosis, spondylolisthesis, or scoliosis were included. Sensitivity and specificity of a claims-based algorithm for indication and operative features were examined versus medical record abstraction. Results. A total of 477 patients, including 246 (52%) undergoing fusion and 231 (48%) undergoing decompression were included in this study. Sensitivity of the claims-based coding algorithm for classifying the indication for the procedure was 71.9% for degenerative disc disease, 81.9% for disc herniation, 32.7% for spinal stenosis, 90.4% for degenerative spondylolisthesis, and 93.8% for scoliosis. Specificity was 87.9% for degenerative disc, 85.6% for disc herniation, 90.7% for spinal stenosis, 95.0% for degenerative spondylolisthesis, and 97.3% for scoliosis. Sensitivity and specificity of claims data for identifying the type of procedure for fusion cases was 97.6% and 99.1%, respectively. Sensitivity of claims data for characterizing key operative features was 81.7%, 96.4%, and 53.0% for use of instrumentation, combined (anterior and posterior) surgical approach, and 3 or more disc levels fused, respectively. Specificity was 57.1% for instrumentation, 94.5% for combined approaches, and 71.9% for 3 or more disc levels fused. Conclusion. Claims data accurately reflected certain diagnoses and type of procedures, but were less accurate at characterizing operative features other than the surgical approach. This study highlights both the potential and current limitations of claims-based analysis for spine surgery. Level of Evidence: 4

Antipsychotic utilization in the intensive care unit and in transitions of care.

PURPOSE The objective of this study was to quantify the rate at which newly initiated antipsychotic therapy is continued on discharge from the intensive care unit (ICU) and describe risk factors for continuation post-ICU discharge. MATERIALS AND METHODS This is a retrospective cohort study of all patients receiving an antipsychotic in the ICUs of a large academic medical center from January 1, 2005, to October 31, 2011. Medical record review was conducted to ascertain whether a patient was newly started on antipsychotic therapy and whether therapy was continued post-ICU discharge. RESULTS A total of 39,248 ICU admissions over the 7-year period were evaluated. Of these, 4468 (11%) were exposed to antipsychotic therapy, of which 3119 (8%) were newly initiated. In the newly initiated cohort, 642 (21%) were continued on therapy on discharge from the hospital. Type of drug (use of quetiapine vs no use of quetiapine: odds ratio, 3.2; 95% confidence interval, 2.5-4.0; P < .0001 and use of olanzapine: odds ratio, 2.4, 95% confidence interval, 2.0-3.1; P ≤ .0001) was a significant risk factor for continuing antipsychotics on discharge despite adjustment for clinical factors. CONCLUSIONS Antipsychotic use is common in the ICU setting, and a significant number of newly initiated patients have therapy continued upon discharge from the hospital.

The Critical Care Crisis of Opioid Overdoses in the United States

Rationale: Opioid abuse is increasing, but its impact on critical care resources in the United States is unknown. Objectives: We hypothesized that there would be a rising need for critical care among opioid‐associated overdoses in the United States. Methods: We analyzed all adult admissions, using a retrospective cohort study from 162 hospitals in 44 states, discharged between January 1, 2009, and September 31, 2015 to describe the incidence of intensive care unit (ICU) admissions for opioid overdose during this time. Admissions were identified using the Clinical Database/Resource Manager of Vizient, the successor to the University Health System Consortium. Results: Our primary outcome was opioid‐associated overdose admissions to the ICU. The outcome was defined on the basis of previously validated ICD‐9 codes. Our secondary outcomes were in‐hospital death and markers of ICU resources. The final cohort included 22,783,628 admissions; 4,145,068 required ICU care. There were 52.4 ICU admissions for overdose per 10,000 ICU admissions over the entire study (95% confidence interval [CI], 51.8‐53.0 per 10,000 ICU admissions). During this time period, opioid overdose admissions requiring intensive care increased 34%, from 44 per 10,000 (95% CI, 43‐46 per 10,000) to 59 per 10,000 ICU admissions (95% CI, 57‐61 per 10,000; P < 0.0001). The mortality rate of patients with ICU admissions with overdoses averaged 7% (95% CI, 7.0‐7.6%) but increased to 10% in 2015 (95% CI, 8.8‐10.8%). Conclusions: The number of deaths of ICU patients with opioid overdoses increased substantially in the 7 years of our study, reflecting increases in both the incidence and mortality of this condition. Our findings raise the need for a national approach to developing safe strategies to care for patients with overdose in the ICU, to providing coordinated resources in the hospital for patients and families, and to helping survivors maintain sobriety on discharge.

Prevalence and Predictive Value of Dyspnea Ratings in Hospitalized Patients: Pilot Studies

Background Dyspnea (breathing discomfort) can be as powerfully aversive as pain, yet is not routinely assessed and documented in the clinical environment. Routine identification and documentation of dyspnea is the first step to improved symptom management and it may also identify patients at risk of negative clinical outcomes. Objective To estimate the prevalence of dyspnea and of dyspnea-associated risk among hospitalized patients. Design Two pilot prospective cohort studies. Setting Single academic medical center. Patients Consecutive patients admitted to four inpatient units: cardiology, hematology/oncology, medicine, and bariatric surgery. Measurements In Study 1, nurses documented current and recent patient-reported dyspnea at the time of the Initial Patient Assessment in 581 inpatients. In Study 2, nurses documented current dyspnea at least once every nursing shift in 367 patients. We describe the prevalence of burdensome dyspnea, and compare it to pain. We also compared dyspnea ratings with a composite of adverse outcomes: 1) receipt of care from the hospital’s rapid response system, 2) transfer to the intensive care unit, or 3) death in hospital. We defined burdensome dyspnea as a rating of 4 or more on a 10-point scale. Results Prevalence of burdensome current dyspnea upon admission (Study 1) was 13% (77 of 581, 95% CI 11%-16%). Prevalence of burdensome dyspnea at some time during the hospitalization (Study 2) was 16% (57 of 367, 95% CI 12%-20%). Dyspnea was associated with higher odds of a negative outcome. Conclusions In two pilot studies, we identified a significant symptom burden of dyspnea in hospitalized patients. Patients reporting dyspnea may benefit from a more careful focus on symptom management and may represent a population at greater risk for negative outcomes.