Additional abstracted variables included demographics (aged 65-74, 75-84, and ≥85 years; sex; and race), comorbidities (hypertension, current smoker, previous MI, congestive heart failure, CABG, PTCA, peripheral vascular disease, stroke, dementia, and diabetes), clinical characteristics (anterior infarction, left bundle-branch block, atrial fibrillation or flutter, respiratory rate >25 breaths/min on admission, serum urea nitrogen level >14.3 mmol/L [>40 mg/dL] or creatinine level >221.0 µmol/L [>2.5 mg/dL], albumin level <0.03 g/L, prothrombin time >16 seconds, hematocrit <0.3, and stroke on admission), hospital treatment and course (thrombolytic therapy, recurrent chest pain, and creatine kinase level >4 times normal), functional status (urinary incontinence and inability to ambulate), discharge disposition (home, skilled nursing facility, or other), discharge medications (aspirin, calcium channel blockers, angiotensin-converting enzyme inhibitors, loop diuretics, or digoxin), physician specialty, census region, and length of stay. We adjusted for severity of heart failure during the hospitalization using several variables, including clinical diagnosis of heart failure, radiological signs of heart failure, rales, gallop, shock, and estimated left ventricular ejection fraction (LVEF, as determined by radionuclide ventriculography studies, cardiac catheterization, and echocardiogram, prioritized in that order). Specialty of the admitting physician was classified as cardiology, internal medicine, family or general practice, or other by linking the attending physician's Unique Physician Identification Number from Medicare Part A claims to a directory of physician-reported specialties maintained by the Health Care Financing Administration, as in a previous report.10 We also classified patients according to the 9 major US census regions, based on the site of hospitalization.11 Length of stay was coded as greater than 12 days (yes or no), approximately the 75th percentile. For variables with more than 3% missing values (eg, albumin level), a dummy variable was created and included in the multivariate analyses.