Table 2.
Univariate and multivariate logistic regression for predicting AKI.
| Univariate | Multivariate | |||||
|---|---|---|---|---|---|---|
| Odds ratio | 95% CI | p-value | Odds ratio | 95% CI | p-value | |
| Age | 0.99 | 0.968–1.031 | 0.95 | |||
| Sex (male) | 0.694 | 0.3–1.591 | 0.38 | |||
| CCI | 1.06 | 0.91–1.23 | 0.42 | |||
| MELD | 1.08 | 1.02–1.14 | 0.004 | |||
| CRP | 1.01 | 1.000–1.021 | 0.056 | |||
| uPCR | 1.28 | 0.85–1.93 | 0.23 | |||
| FENa | 1.12 | 0.85–1.47 | 0.42 | |||
| Cystatin C | 2.357 | 1.14–4.86 | 0.02 | 2.09 | 1.01–4.35 | 0.02 |
| Corrected NGAL(μg/gCr) | 1.004 | 1.000–1.007 | 0.03 | 1.04 | 1.01–1.05 | 0.001 |
| [TIMP2][IGFBP7]/1000 | 2.335 | 0.433–12.607 | 0.32 | 1.135 | 0.551–2.34 | 0.73 |
Multivariate analysis includes demographic factors (Age, Sex, CCI) + biomarker independently.
CCI: Charlson comorbidity index, CRP: C-reactive protein, uPCR: urine protein/creatinine ratio, FENa: fractional excretion of Na, NGAL: neutrophil gelatinase associated lipocalin, TIMP-2: tissue inhibitor of metalloproteinase-2, IGFBP7: insulin-like growth factor-binding protein7.