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.

VariablesOR95% CI value

Gender (female vs. male)1.411.13-1.77<0.001
Ethnicity (non-Caucasian vs. Caucasian)0.610.47-0.78<0.001
Congestive heart failure (yes vs. no)1.531.19-1.97<0.001
Diabetes (yes vs. no)1.321.03-1.680.030
Obesity (yes vs. no)2.981.66-5.34<0.001
SAPS II1.051.04-1.06<0.001
ACEI/ARBs (yes vs. no)1.781.40-2.25<0.001
Bilirubin (mg/dl)1.081.03-1.12<0.001
Creatinine (mg/dl)1.201.04-1.380.010
BUN (mg/dl)0.990.98-0.99<0.001
Mechanical ventilation (yes vs. no)1.691.33-2.15<0.001
Constant0.12<0.001

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.