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. 2023 Feb 10;51(4):484–491. doi: 10.1097/CCM.0000000000005788

TABLE 1.

The Binary Logistic Regression Analysis for the Univariate and Multivariate Association Between Obesity and Hospital Mortality

Model Tested Category Reference Category Odds (Ref) Probability (Ref) OR p p for Interaction
Univariate model Obesity (BMI ≥ 30) BMI < 30, all ages 0.32 (0.43) 0.24 (0.30) 0.74 (0.69–0.80) < 0.001 0.12
Obesity (BMI ≥ 30; < 45 yr) BMI < 30, <45 yr 0.04 (0.07) 0.04 (0.07) 0.58 (0.36–0.93) 0.02
Obesity (BMI ≥ 30; 45–65 yr) BMI < 30, 45–65 yr 0.19 (0.20) 0.16 (0.17) 0.97 (0.85–1.10) 0.6
Obesity (BMI ≥ 30; > 65 yr) BMI < 30, > 65 yr 0.68 (0.75) 0.41 (0.43) 0.91 (0.82–1.01) 0.08
Multivariate modela Obesity (BMI ≥ 30) BMI < 30, all ages 0.98 (0.90–1.06) 0.62 0.08
Obesity (BMI ≥ 30; < 45 yr) BMI < 30, < 45 yr 0.59 (0.36–0.96) 0.03
Obesity (BMI ≥ 30; 45–65 yr) BMI < 30, 45–65 yr 1.05 (0.91–1.20) 0.52
Obesity (BMI ≥ 30; > 65 yr) BMI < 30, > 65 yr 0.97 (0.87–1.08) 0.55

BMI = body mass index, OR = odds ratio.

a

The multivariate model was adjusted for age, gender, Acute Physiology and Chronic Health Evaluation IV mortality probability (quintiles), mechanical ventilation at ICU admission, Pao2/Fio2 ratio (quintiles), and the use of vasoactive drugs.

Estimates are ORs and 95% CIs. p is based on the post hoc Wald test for significance of the estimates. Bold values are significant at 5% alpha level.