Person:

Bhatt, Deepak

Background: Premature clopidogrel discontinuation after drug‐eluting stent placement is associated with adverse outcomes. Little is known about patient and hospital factors associated with premature discontinuation or whether less variation in premature discontinuation exists in integrated health care systems such as the Veterans Affairs (VA). Methods and Results: We evaluated the frequency of premature clopidogrel discontinuation, defined as a gap between clopidogrel refills of ≥90 days during the first 6 months of treatment, among 12 707 patients who received drug‐eluting stents in VA hospitals between 2008 and 2010. We evaluated the association between premature discontinuation and all‐cause mortality and/or acute myocardial infarction, variation in the proportion of premature discontinuation among hospitals, the patient and hospital characteristics associated with premature discontinuation, and the extent to which unexplained hospital characteristics contribute to premature discontinuation. Of the patients, 963 (7.6%) discontinued clopidogrel prematurely. Premature discontinuation was associated with acute myocardial infarction and all‐cause mortality (hazard ratio 1.65, 95% CI 1.37–1.99, P<0.001). The proportion of patients with premature discontinuation varied across hospitals from 0% to 16.5% (P<0.001). We found a median of 24% greater odds of patients with identical covariates with premature discontinuation at one randomly selected hospital compared with another (median odds ratio 1.24, 95% CI 1.17–1.44). Patient factors associated with premature discontinuation included lack of cardiology follow‐up within 30 days of discharge and smaller initial clopidogrel fill. Conclusion: One in 13 patients prematurely discontinued clopidogrel, and variation in discontinuation across hospitals was observed. Patient factors were associated with premature discontinuation that may represent targets for quality improvement.

Background: Timely reperfusion after ST‐elevation myocardial infarction (STEMI) improves survival. Guidelines recommend primary percutaneous coronary intervention (PPCI) within 90 minutes of arrival at a PCI‐capable hospital. The alternative is fibrinolysis within 30 minutes for those in those for whom timely transfer to a PCI‐capable hospital is not feasible. Methods and Results: We identified STEMI patients receiving reperfusion therapy at 229 hospitals participating in the Get With the Guidelines—Coronary Artery Disease (GWTG‐CAD) database (January 1, 2003 through December 31, 2008). Temporal trends in the use of fibrinolysis and PPCI, its timeliness, and in‐hospital mortality outcomes were assessed. We also assessed predictors of fibrinolysis versus PPCI and compliance with performance measures. Defect‐free care was defined as 100% compliance with all performance measures. We identified 29 190 STEMI patients, of whom 2441 (8.4%) received fibrinolysis; 38.2% of these patients achieved door‐to‐needle times ≤30 minutes. Median door‐to‐needle times increased from 36 to 60 minutes (P=0.005) over the study period. Among PPCI patients, median door‐to‐balloon times decreased from 94 to 64 minutes (P<0.0001) over the same period. In‐hospital mortality was higher with fibrinolysis than with PPCI (4.6% vs 3.3%, P=0.001) and did not change significantly over time. Patients receiving fibrinolysis were less likely to receive defect‐free care compared with their PPCI counterparts. Conclusions: Use of fibrinolysis for STEMI has decreased over time with concomitant worsening of door‐to‐needle times. Over the same time period, use of PPCI increased with improvement in door‐to‐balloon times. In‐hospital mortality was higher with fibrinolysis than with PPCI. As reperfusion for STEMI continues to shift from fibrinolysis to PPCI, it will be critical to ensure that door‐to‐needle times and outcomes do not worsen.

Background: Guidelines recommend continuation or initiation of guideline‐directed medical therapy, including angiotensin‐converting enzyme inhibitors/angiotensin II receptor blockers (ACEi/ARB), in hospitalized patients with heart failure with reduced ejection fraction. Methods and Results: Using the Get With The Guidelines‐Heart Failure Registry, we linked clinical data from 16 052 heart failure with reduced ejection fraction (ejection fraction ≤40%) patients with Medicare claims data. We divided ACEi/ARB‐eligible patients into 4 categories based on admission and discharge ACEi/ARB use: continued (reference group), started, discontinued, or not started on therapy. A multivariable Cox proportional hazard model was used to determine the association between ACEi/ARB category and outcomes. Most, 90.5%, were discharged on ACEi/ARB (59.6% continued and 30.9% newly started). Of those discharged without ACEi/ARB, 1.9% were discontinued, and 7.5% were eligible but not started. Thirty‐day mortality was 3.5% for patients continued and 4.1% for patients started on ACEi/ARB. In contrast, 30‐day mortality was 8.8% for patients discontinued (adjusted hazard ratio [HR adj] 1.92; 95% CI 1.32‐2.81; P<0.001) and 7.5% for patients not started (HR adj 1.50; 95% CI 1.12‐2.00; P=0.006). The 30‐day readmission rate was lowest among patients continued or started on therapy. One‐year mortality was 28.2% for patients continued and 29.7% for patients started on ACEi/ARB compared to 41.6% for patients discontinued (HR adj 1.35; 95% CI 1.13‐1.61; P<0.001) and 41.7% (HR adj 1.28; 95% CI 1.14‐1.43; P<0.001) for patients not started on therapy. Conclusions: Compared with continuation, withdrawal of ACEi/ARB during heart failure hospitalization is associated with higher rates of postdischarge mortality and readmission, even after adjustment for severity of illness.

Background: Healthcare resources vary geographically, but associations between hospital‐based resources and acute stroke quality and outcomes remain unclear. Methods and Results: Using Get With The Guidelines‐Stroke and Dartmouth Atlas of Health Care data, we examined associations between healthcare resource availability, stroke care, and outcomes. We categorized hospital referral regions with high‐, medium‐, or low‐resource levels based on the 2006 national per‐capita availability median of 6 relevant acute stroke care resources. Using multivariable logistic regression, we examined healthcare resource level and in‐hospital quality and outcomes. Of 1 480 308 admitted ischemic stroke patients (2006–2013), 28.8% were hospitalized in low‐, 44.4% in medium‐, and 26.9% in high‐resource hospital referral regions. Quality‐of‐care/timeliness metrics, adjusted length of stay, and in‐hospital mortality were similar across all resource levels. Conclusions: Significant variation exists in regional availability of healthcare resources for acute ischemic stroke treatment, yet among Get With the Guidelines‐Stroke hospitals, quality of care and in‐hospital outcomes did not differ by regional resource availability.

Background: Adoption of electronic health record (EHR) systems has increased significantly across the nation. Whether EHR use has translated into improved quality of care and outcomes in heart failure (HF) is not well studied. Methods and Results: We examined participants from the Get With The Guidelines—HF registry who were admitted with HF in 2008 (N=21 222), using various degrees of EHR implementation (no EHR, partial EHR, and full EHR). We performed multivariable logistic regression to determine the relation between EHR status and several in‐hospital quality metrics and outcomes. In a substudy of Medicare participants (N=8421), we assessed the relation between EHR status and rates of 30‐day mortality, readmission, and a composite outcome. In the cohort, the mean age was 71±15 years, 49% were women, and 64% were white. The mean ejection fraction was 39±17%. Participants were admitted to hospitals with no EHR (N=1484), partial EHR (N=13 473), and full EHR (N=6265). There was no association between EHR status and several quality metrics (aside from β blocker at discharge) or in‐hospital outcomes on multivariable adjusted logistic regression (P>0.05 for all comparisons). In the Medicare cohort, there was no association between EHR status and 30‐day mortality, readmission, or the combined outcome. Conclusions: In a large registry of hospitalized patients with HF, there was no association between degrees of EHR implementation and several quality metrics and 30‐day postdischarge death or readmission. Our results suggest that EHR may not be sufficient to improve HF quality or related outcomes.