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. 2021 Dec 10;10(24):e023535. doi: 10.1161/JAHA.121.023535

Table 3.

Multivariable Analysis of the Association Between In‐Hospital ACEi/ARB Use and Outcomes

Variables Death, mechanical ventilation, or dialysis (n=480)
Odds ratio* (95% CI) P value Hazard ratio (95% CI) P value
In‐hospital ACEi/ARB use 0.49 (0.36–0.66) <0.001 0.48 (0.36–0.65) <0.001
Age, per 10 y 1.00 (0.91–1.08) 0.90 0.94 (0.88–1.00) 0.06
Male sex 1.43 (1.14–1.80) 0.002 1.21 (1.00–1.46) 0.046
Black race 1.29 (0.98–1.71) 0.07 1.27 (1.02–1.59) 0.030
Body mass index, per 5 kg/m2 1.13 (1.06–1.21) <0.001 1.07 (1.03–1.11) <0.001
Diabetes 1.12 (0.86–1.46) 0.41 1.08 (0.88–1.33) 0.46
Hypertension 1.22 (0.93–1.61) 0.15 1.24 (1.00–1.55) 0.05
Coronary artery disease 0.99 (0.69–1.41) 0.93 1.12 (0.84–1.48) 0.45
Congestive heart failure 0.96 (0.66–1.39) 0.82 0.83 (0.62–1.11) 0.21
Admission eGFR, per 5 mL/min higher 0.95 (0.93–0.98) <0.001 0.95 (0.94–0.97) <0.001

ACEi/ARB indicates angiotensin‐converting enzyme inhibitor/angiotensin receptor blocker; and eGFR, estimated glomerular filtration rate.

*

Based on binary logistic regression model adjusted for age, sex, race, body mass index, diabetes, hypertension, coronary artery disease, congestive heart failure, and admission eGFR.

Based on time‐dependent Cox proportional hazards model adjusted for age, sex, race, body mass index, diabetes, hypertension, coronary artery disease, congestive heart failure, and admission eGFR.

Based on time‐dependent Cox proportional hazards model adjusted for age, sex, race, body mass index, diabetes mellitus, hypertension, coronary artery disease, congestive heart failure, and admission eGFR.