Table 3.
Multivariate logistic regression analysis regarding mortality
Variable | Odds ratio | 95% Confidence interval | p value |
---|---|---|---|
Age | 0.968 | (0.928, 1.01) | 0.132 |
Male gender | 2.783 | (0.76, 10.19) | 0.122 |
In-hospital stay | 1.098 | (1.005, 1.201) | 0.039 |
AKIN stage 2 | 0.19 | (0.046, 0.787) | 0.022 |
Minimal eGFR (mL/min) | 1.015 | (0.936, 1.1) | 0.721 |
Peak CRP (mg/L) | 0.994 | (0.987, 1.001) | 0.094 |
NT-proBNP (pg/mL) | 1–1.456e-5 | (1–7.137e-5, 1 + 4.224e-5) | 0.615 |
ICU treatment (> 10 days) | 0.013 | (0, 0.35) | 0.01 |
Diabetes (insulin-dependent) | 0.179 | (0.039, 0.83) | 0.028 |
No pre-existing CKD | 1.088 | (0.285, 4.15) | 0.902 |
No pre-existing CHF | 1.621 | (0.478, 5.492) | 0.438 |
Bmi (mg/qm) | 1.137 | (1.023, 1.264) | 0.017 |
No neoplasia | 5.105 | (1.221, 21,349) | 0.026 |
Three variables were identified as positive predictors of survival: in-hospital-stay, BMI, and negative history of neoplasia; three variables however were negatively predictive: AKIN stage 2, ICU treatment for more than 10 days, and insulin-dependent diabetes
Statistically significant p values are in bold (p < 0.05)