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. Author manuscript; available in PMC: 2010 Mar 1.
Published in final edited form as: Am J Kidney Dis. 2008 Dec 19;53(3):426–437. doi: 10.1053/j.ajkd.2008.09.024

Table 3.

Associations between eGFR Effect (per 10 ml/min/1.73m2 increase) and 5 Guideline-recommended Acute Therapies according to Hospital Performance Groups

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.

a

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.

b

P-value for comparison of Odds Ratios between leading and lagging hospital quality ranks.