Table 1 Variables used in mixed-effects logistic regression models.

From: Long-term air pollution exposure is associated with higher incidence of ST-elevation myocardial infarction and in-hospital cardiogenic shock

Response variable

Fixed effects

Random effect

\({\text{log}}\left( {\frac{{{\text{P}}STEMI}}{{{\text{P}}NSTEMI}}} \right)\)

Age, Sex, Body Mass Index, Smoking Status, Hypertension, Diabetes Mellitus, Dyslipidemia, Stroke, Heart Failure, Previous Ischemic Heart Disease, Family History of Coronary Artery Disease, Air Pollutant

Hospital

\({\text{log}}\left( {\frac{{{\text{PCardiogenic}}\;{\text{Shock}}}}{{1 - {\text{PCardiogenic}}\;{\text{Shock}}}}} \right)\)

Age, Sex, Body Mass Index, Smoking Status, Hypertension, Diabetes Mellitus, Dyslipidemia, Stroke, Heart Failure, Previous Ischemic Heart Disease, Family History of Coronary Artery Disease, STEMI Status, Percutaneous Coronary Intervention, Left Ventricular Ejection Fraction, Air Pollutant

Hospital

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