Research Article
Construction and Validation of a Risk Prediction Model for Acute Kidney Injury in Patients Suffering from Septic Shock
Table 4
Multivariate logistic regression analysis of risk factors of AKI in the training cohort.
| Variables | OR | 95% CI | value |
| Gender (female vs. male) | 1.41 | 1.13-1.77 | <0.001 | Ethnicity (non-Caucasian vs. Caucasian) | 0.61 | 0.47-0.78 | <0.001 | Congestive heart failure (yes vs. no) | 1.53 | 1.19-1.97 | <0.001 | Diabetes (yes vs. no) | 1.32 | 1.03-1.68 | 0.030 | Obesity (yes vs. no) | 2.98 | 1.66-5.34 | <0.001 | SAPS II | 1.05 | 1.04-1.06 | <0.001 | ACEI/ARBs (yes vs. no) | 1.78 | 1.40-2.25 | <0.001 | Bilirubin (mg/dl) | 1.08 | 1.03-1.12 | <0.001 | Creatinine (mg/dl) | 1.20 | 1.04-1.38 | 0.010 | BUN (mg/dl) | 0.99 | 0.98-0.99 | <0.001 | Mechanical ventilation (yes vs. no) | 1.69 | 1.33-2.15 | <0.001 | Constant | 0.12 | | <0.001 |
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OR: odds ratio; CI: confidence interval; ACEI: angiotensin-converting enzyme inhibitors; ARB: angiotensin receptor blockers; SAPS II: simplified acute physiology score II; BUN: blood urea nitrogen; AKI: acute kidney injury.
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