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Table 1 Multivariate logistic regression model for predicting acute kidney injury after cardiac surgery based on discovery set

From: Prediction of acute kidney injury after cardiac surgery: model development using a Chinese electronic health record dataset

Risk factor β OR (95% CI) P value
Age, years 0.0170 1.017 (1.001–1.035) 0.048
Male 0.4076 1.503 (1.027–2.209) 0.036
Preoperative Scr, mg/dL 1.0381 2.824 (1.427–5.859) 0.004
Preoperative NLR 0.1333 1.143 (1.065–1.233) < 0.001
Preoperative blood glucose, mmol/L 0.1441 1.155 (1.048–1.273) 0.003
Preoperative HDL, mmol/L -0.6207 0.537 (0.299–0.947) 0.034
Intraoperative urine output, mL/kg/hr -0.0602 0.942 (0.889–0.990) 0.027
CUF, mL/kg 0.0205 1.021 (1.009–1.033) < 0.001
CVP, cmH2O (trajectory group)    
 2 vs. 1 0.5632 1.756 (0.778–4.427) 0.199
 3 vs. 1 1.4666 4.334 (1.838–11.314) 0.001
Perfusion flow, L/min/m2 (trajectory group)    
 2 vs. 1 0.3693 1.447 (0.937–2.227) 0.094
 3 vs. 1 0.4780 1.613 (1.091–2.389) 0.016
Intubated PaO2/FiO2 ratio − 0.0035 0.996 (0.995–0.998) < 0.001
Postoperative hemoglobin, g/L − 0.0505 0.951 (0.938–0.963) < 0.001
Postoperative serum potassium, mmol/L 0.6649 1.944 (1.448–2.623) < 0.001
Postoperative LDH, U/L 0.0037 1.005 (1.003–1.006) < 0.001
Intercept − 2.8021   
  1. OR, odds ratio; CI, confidence interval; Scr, serum creatinine; NLR, neutrophil to lymphocyte ratio; HDL, high density lipoprotein; CUF, conventional ultrafiltration; CVP, central venous pressure; LDH, lactic dehydrogenase