Table 2.

Logistic regression models for ARDS, AHRF, and survival.

Predictor	Coefficient	Std. error	z-value	P-value
ARDS
Intercept	0.040	0.326	0.122	0.902
ΔTFN	−0.016	0.007	−2.408	0.016
AHRF
Intercept	−5.645	2.931	−1.926	0.054
Risk = sepsis	3.348	1.523	2.199	0.028
ΔTFN	−0.030	0.011	−2.687	0.007
ΔA+FN	0.503	0.235	2.139	0.032
Survival
Intercept	−6.680	3.415	−1.956	0.050
Risk = sepsis	2.214	1.393	1.590	0.111
PaO2/FIO2(24)	0.014	0.006	2.344	0.019
ΔA+FN	0.263	0.189	1.392	0.164

Notes: Estimated coefficients and associated statistics for the best submodel chosen by backwards elimination with the AIC. The coefficient “risk = sepsis” gives the difference in the log odds of the outcome for the sepsis group, as compared to the trauma group, with a positive coefficient indicating that the outcome is more likely within the sepsis group, other variables being equal. The P-values are for two-sided tests.