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28 April 2026 : Clinical Research  

A Dynamic Online Nomogram for Predicting Postoperative Acute Kidney Injury After Sleeve Gastrectomy

Sainan Li BE 1,2, Chengxiang Liu ORCID logo C 1*, Chen Zhu B 1, Juan Zhou D 1, Miao Zhang F 3, Hong Chen E 1, Ye Zhang G 4, Zengxia Liu A 2

DOI: 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.

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750