Associations between genotype and mortality were tested with univariate cox regression analyses and log rank tests.
All factors that were associated with mortality by univariate analysis with a p < 0.10 were included in a logistic regression analysis as shown on Table 1 (namely, we included age, SAPS 3 score, Charlson Commorbidity Index, body mass index, PS, admission type, specific clinical groups of the reason for admission, non-full code status and length of stay prior to ICU admission).
The relation between circulating biomarker concentrations, entered as log-transformed continuous variables, and mortality was first assessed with univariate Cox proportional hazards models, and these data are presented as hazard ratios (HRs) and 95% confidence intervals (CIs) for a 1-unit increase on a logarithmic scale.
Only the variables with statistically significant associations with mortality in univariate analysis were included in the multivariate models.
Variables that were associated with 28-day mortality in univariate analyses with a P value of < 0.16 were entered into multivariate analysis.
The magnitude of AST increase also appeared to be correlated with mortality on univariate analysis.
Diabetes was not associated with mortality on univariate analysis and therefore was not entered into the multivariate model.
Factors associated with mortality, in univariate analysis, were age ≥65 years (p = 0.033), signs of respiratory distress (p = 0.017) and interstitial opacities on chest X-ray (p = 0.017).
Factors associated with mortality in univariate analysis (p < 0.10) were selected for a multivariate Cox proportional-hazards regression model.
Of interest, neither a previous NADC nor a previous ADC was strongly associated with mortality in univariate analyses.
