Table 2.

Multivariable regression analysis for steroid administration.

	aOR / aHR	95% CI	p-value
Steroid administration (any type of steroid vs. none)
Multivariable logistic regression
Model 1	0.752	0.637–0.887	0.001
Model 2	0.796	0.675–0.940	0.007
Multivariable logistic regression after PSM
Model 1	0.727	0.595–0.889	0.002
Model 2	0.723	0.592–0.884	0.002
Multivariable logistic regression after IPTW
Model 1	0.706	0.616–0.812	< 0.001
Model 2	0.707	0.615–0.812	< 0.001
Multivariable Cox proportional hazards model
Model 1	0.787	0.697–0.889	< 0.001
Model 2	0.821	0.724–0.931	0.002
Multivariable time-dependent Cox proportional hazards model
Model 1	0.802	0.709–0.907	< 0.001
Model 2	0.839	0.740–0.951	0.006
Steroid administration (hydrocortisone vs. none)
Multivariable logistic regression
Model 1	0.745	0.627–0.884	0.001
Model 2	0.800	0.673–0.950	0.011
Multivariable logistic regression after PSM
Model 1	0.644	0.520–0.797	< 0.001
Model 2	0.643	0.519–0.795	< 0.001
Multivariable logistic regression after IPTW
Model 1	0.695	0.602–0.802	< 0.001
Model 2	0.695	0.603–0.802	< 0.001
Multivariable Cox proportional hazards model
Model 1	0.780	0.687–0.885	< 0.001
Model 2	0.822	0.722–0.936	0.003
Multivariable time-dependent Cox proportional hazards model
Model 1	0.794	0.700–0.901	< 0.001
Model 2	0.838	0.736–0.954	0.007

aOR > 1 indicates higher odds of 28 d mortality. aHR > 1 indicates higher hazards of 28 d mortality.

Hosmer–Lemeshow test showed p > 0.05 in all models.

Model 1: sex, admission year, APACHE II score, infection focus, lactate, and use of ≥ 2 types of vasopressors were adjusted.

Model 2: sex, admission year, APACHE II score, infection focus, lactate, and vasopressin use were adjusted.