Table 3. Association of aspirin use with primary outcomes using logistic regression analysis.
Outcomes | Model 1 | Model 2 | Model 3 | |||||
---|---|---|---|---|---|---|---|---|
OR (95% CI) | P value | OR (95% CI) | P value | OR (95% CI) | P value | |||
In-hospital death | ||||||||
Aspirin use | 0.500 (0.403, 0.620) | <0.001 | 0.605 (0.493, 0.742) | <0.001 | 0.574 (0.456, 0.721) | <0.001 | ||
28-day mortality | ||||||||
Aspirin use | 0.470 (0.386, 0.573) | <0.001 | 0.563 (0.467, 0.677) | <0.001 | 0.539 (0.437, 0.665) | <0.001 |
Model 1: age, gender, renal disease, coronary artery disease, diabetes, and hypertension were adjusted; model 2: heart rate, DBP, SBP, SpO2, glucose, hematocrit, Pt, mechanical ventilation use, and CRRT were adjusted; model 3, all covariates adjusted including age, gender, heart rate, DBP, SpO2, glucose, hematocrit, Pt, renal disease, coronary artery disease, diabetes, hypertension, mechanical ventilation use, and CRRT. OR, odds ratio; CI, confidence interval; DBP, diastolic blood pressure; SBP, systolic blood pressure; SpO2, oxygen saturation; CRRT, continuous renal replacement therapy; Pt, prothrombin time.