Propensity analysis13 was performed regarding
the probability of statin use. For each patient, a propensity score indicating
the likelihood of having statins prescribed at discharge was calculated by
forward logistic regression analysis and included 42 covariates: age, sex,
smoking status, previous MI, previous percutaneous coronary intervention or
coronary artery bypass graft surgery, history of diabetes mellitus, history
of hypertension, circulatory arrest at arrival, medications before study entry
(including angiotensin-converting enzyme inhibitors, anticoagulants, aspirin, β-blockers,
calcium channel inhibitors, digitalis, diuretics, long-acting nitrates, and
statins), acute reperfusion treatment, intravenous β-blockers, intravenous
or subcutaneous anticoagulants, intravenous nitroglycerin, atrial fibrillation,
congestive heart failure, reinfarction, stress test administration, echocardiography,
coronary angiography, medications at hospital discharge (including angiotensin-converting
enzyme inhibitors, oral anticoagulants, aspirin, β-blockers, calcium
channel inhibitors, digitalis, diuretics, and long-acting nitrates), revascularization
before discharge, type of hospital (primary, secondary, or tertiary), hospital
size (number of AMI admissions per year <100, 100-199, 200-399, or ≥400),
teaching hospital status, presence of catheterization laboratory in the hospital,
admission year, and each hospital's statin prescription rate (divided into
<25%, 25%-35%, and >35%) among AMI patients younger than 80 years old.
Goodness of fit of the propensity score was evaluated by the c statistic and the Hosmer-Lemeshow test. Cholesterol levels were not
among the compulsory variables denoted in the RIKS-HIA registry and therefore
could not be included.