Table 2

Risk estimates in different statistical models

ModelOR95% CIP-value
Mortality
 Unadjusted logistic regression1.181.13–1.23<.001
 Multivariable logistic regressiona1.591.49–1.71<.001
 *IV logistic regressionb1.671.54–1.81<.001
Myocardial infarction
 Unadjusted logistic regression1.451.37–1.54<.001
 Multivariable logistic regressiona1.381.29–1.48<.001
 IV logistic regressionb1.511.41–1.62<.001
Stroke
 Unadjusted logistic regression.94.87–1.12.140
 Multivariable logistic regressiona.96.87–1.06.401
 IV logistic regressionb.93.85–1.03.215
Revascularization
 Unadjusted logistic regression3.233.04–3.44<.001
 Multivariable logistic regressiona3.353.08–3.65<.001
 IV logistic regressionb3.012.57–3.51<.001
Heart failure
 Unadjusted logistic regression1.101.05–1.16<.001
 Multivariable logistic regressiona1.191.12–1.28<.001
 IV logistic regressionb1.151.07–1.25<.001
ModelOR95% CIP-value
Mortality
 Unadjusted logistic regression1.181.13–1.23<.001
 Multivariable logistic regressiona1.591.49–1.71<.001
 *IV logistic regressionb1.671.54–1.81<.001
Myocardial infarction
 Unadjusted logistic regression1.451.37–1.54<.001
 Multivariable logistic regressiona1.381.29–1.48<.001
 IV logistic regressionb1.511.41–1.62<.001
Stroke
 Unadjusted logistic regression.94.87–1.12.140
 Multivariable logistic regressiona.96.87–1.06.401
 IV logistic regressionb.93.85–1.03.215
Revascularization
 Unadjusted logistic regression3.233.04–3.44<.001
 Multivariable logistic regressiona3.353.08–3.65<.001
 IV logistic regressionb3.012.57–3.51<.001
Heart failure
 Unadjusted logistic regression1.101.05–1.16<.001
 Multivariable logistic regressiona1.191.12–1.28<.001
 IV logistic regressionb1.151.07–1.25<.001

The reference group in all models is PCI.

ECG, electrocardiogram, IV, instrumental variable.

aMultivariable logistic regression with follow-up time as a log-transformed offset variable with the following covariates: age at admission, sex, smoking status, history of chronic obstructive pulmonary disease, heart failure, history of myocardial infarction, diabetes mellitus, peripheral arterial disease, hypertension, coronary artery bypass grafting, percutaneous coronary intervention, body mass index, Killip ≥ 2, ST-T changes, ECG rhythm.

bInstrumental variable analysis with treatment-preference instrument based on the quintiles of the hospital preference for using percutaneous coronary intervention. The IV model also used all the covariates from the multivariable logistic regression. *Primary analysis.

Table 2

Risk estimates in different statistical models

ModelOR95% CIP-value
Mortality
 Unadjusted logistic regression1.181.13–1.23<.001
 Multivariable logistic regressiona1.591.49–1.71<.001
 *IV logistic regressionb1.671.54–1.81<.001
Myocardial infarction
 Unadjusted logistic regression1.451.37–1.54<.001
 Multivariable logistic regressiona1.381.29–1.48<.001
 IV logistic regressionb1.511.41–1.62<.001
Stroke
 Unadjusted logistic regression.94.87–1.12.140
 Multivariable logistic regressiona.96.87–1.06.401
 IV logistic regressionb.93.85–1.03.215
Revascularization
 Unadjusted logistic regression3.233.04–3.44<.001
 Multivariable logistic regressiona3.353.08–3.65<.001
 IV logistic regressionb3.012.57–3.51<.001
Heart failure
 Unadjusted logistic regression1.101.05–1.16<.001
 Multivariable logistic regressiona1.191.12–1.28<.001
 IV logistic regressionb1.151.07–1.25<.001
ModelOR95% CIP-value
Mortality
 Unadjusted logistic regression1.181.13–1.23<.001
 Multivariable logistic regressiona1.591.49–1.71<.001
 *IV logistic regressionb1.671.54–1.81<.001
Myocardial infarction
 Unadjusted logistic regression1.451.37–1.54<.001
 Multivariable logistic regressiona1.381.29–1.48<.001
 IV logistic regressionb1.511.41–1.62<.001
Stroke
 Unadjusted logistic regression.94.87–1.12.140
 Multivariable logistic regressiona.96.87–1.06.401
 IV logistic regressionb.93.85–1.03.215
Revascularization
 Unadjusted logistic regression3.233.04–3.44<.001
 Multivariable logistic regressiona3.353.08–3.65<.001
 IV logistic regressionb3.012.57–3.51<.001
Heart failure
 Unadjusted logistic regression1.101.05–1.16<.001
 Multivariable logistic regressiona1.191.12–1.28<.001
 IV logistic regressionb1.151.07–1.25<.001

The reference group in all models is PCI.

ECG, electrocardiogram, IV, instrumental variable.

aMultivariable logistic regression with follow-up time as a log-transformed offset variable with the following covariates: age at admission, sex, smoking status, history of chronic obstructive pulmonary disease, heart failure, history of myocardial infarction, diabetes mellitus, peripheral arterial disease, hypertension, coronary artery bypass grafting, percutaneous coronary intervention, body mass index, Killip ≥ 2, ST-T changes, ECG rhythm.

bInstrumental variable analysis with treatment-preference instrument based on the quintiles of the hospital preference for using percutaneous coronary intervention. The IV model also used all the covariates from the multivariable logistic regression. *Primary analysis.

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