Table 3.
Category | Adjusted OR (95% CI)a | P-value |
---|---|---|
Acute Aspirin | 0.2b | |
eGFR effect in leading (>75%) hospitals | 1.06 (1.02, 1.10) | 0.007 |
eGFR effect in 50–75% hospitals | 1.06 (1.03, 1.10) | <0.001 |
eGFR effect in 25–50% hospitals | 1.07 (1.03, 1.10) | <0.001 |
eGFR effect in lagging (≤25%) hospitals | 1.02 (0.99, 1.06) | 0.2 |
Acute β-Blockers | 0.7b | |
eGFR effect in leading (>75%) hospitals | 1.01 (0.98, 1.04) | 0.8 |
eGFR effect in 50–75% hospitals | 0.99 (0.98, 1.01) | 0.5 |
eGFR effect in 25–50% hospitals | 1.03 (1.01, 1.06) | 0.005 |
eGFR effect in lagging (≤25%) hospitals | 1.00(0.98, 1.02) | 0.7 |
Acute clopidogrel | 0.006b | |
eGFR effect in leading (>75%) hospitals | 1.03 (1.01, 1.05) | 0.001 |
eGFR effect in 50–75% hospitals | 1.03, (1.02, 1.05) | <0.001 |
eGFR effect in 25–50% hospitals | 1.03, (1.02, 1.05) | <0.001 |
eGFR effect in lagging (≤25%) hospitals | 0.99, (0.97, 1.01) | 0.3 |
Acute Heparin | 0.4b | |
eGFR effect in leading (>75%) hospitals | 1.03 (0.97, 1.07) | 0.08 |
eGFR effect in 50–75% hospitals | 1.05, (1.02, 1.07) | <0.001 |
eGFR effect in 25–50% hospitals | 1.05, (1.02, 1.07) | <0.001 |
eGFR effect in lagging (≤25%) hospitals | 1.01 (0.99, 1.03) | 0.2 |
Acute GPIIb/IIIa inhibitors | 0.7b | |
eGFR effect in leading (>75%) hospitals | 1.04 (1.02, 1.06) | <0.001 |
eGFR effect in 50–75% hospitals | 1.08 (1.06, 1.10) | <0.001 |
eGFR effect in 25–50% hospitals | 1.06 (1.06, 1.08) | <0.001 |
eGFR effect in lagging (≤25%) hospitals | 1.05 (1.02, 1.07) | <0.001 |
Abbreviations: eGFR, estimated glomerular filtration rate; GP, glycoprotein.
Variables in the model – sex, white race, body mass index, age, heart rate, systolic blood pressure, family history of coronary artery disease, hypertension, diabetes, current/recent smoker, dyslipidemia, prior myocardial infarction, prior percutaneous coronary intervention, prior coronary artery bypass surgery, prior heart failure, prior stroke, ischemic electrocardiogram abnormalities, heart failure, positive cardiac markers; primary attending, insurance type, number of hospital beds, region, hospital capabilities, teaching/nonteaching hospital.
P-value for comparison of Odds Ratios between leading and lagging hospital quality ranks.