28 April 2026 : Clinical Research
A Dynamic Online Nomogram for Predicting Postoperative Acute Kidney Injury After Sleeve Gastrectomy
Sainan Li BE 1,2, Chengxiang LiuDOI: 10.12659/MSM.951259
Med Sci Monit 2026; 32:e951259
Figure 2 (A) Nomogram for predicting postoperative acute kidney injury (AKI) in patients undergoing sleeve gastrectomy. (B) Web-based dynamic nomogram.The nomogram was constructed based on the final multivariable logistic regression model and incorporates 5 predictors: American Society of Anesthesiologists (ASA) physical status classification, baseline estimated glomerular filtration rate (eGFR, per 10 mL/min/1.73 m2), hemoglobin (per 10 g/L), intraoperative systolic blood pressure variability expressed as the coefficient of variation (CV_SBP, per 10%), and total intraoperative infusion volume (per 100 mL). Each predictor is assigned a point value proportional to its regression coefficient, and the total points correspond to an individualized predicted probability of postoperative AKI. A dynamic web-based version of the nomogram allows real-time risk estimation with 95% confidence intervals for individual patients.






