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Published on: February 2, 2021
A Dynamic Online Nomogram for Predicting Postoperative Acute Kidney Injury After Sleeve Gastrectomy
Sainan Li1,2, Chengxiang Liu1, Chen Zhu1
1Department of Anesthesia and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Acute kidney injury (AKI) after sleeve gastrectomy is linked to blood pressure changes during surgery. A new nomogram predicts AKI risk, aiding renal protection strategies.
Area of Science:
- Nephrology
- Bariatric Surgery
- Anesthesiology
Background:
- Acute kidney injury (AKI) is a frequent complication post-sleeve gastrectomy.
- Intraoperative hemodynamic instability, especially systolic blood pressure variability, is a key risk factor for AKI.
Purpose of the Study:
- To identify predictors of postoperative AKI after sleeve gastrectomy.
- To develop a dynamic nomogram for individualized AKI risk prediction, focusing on systolic blood pressure variability.
Main Methods:
- Retrospective analysis of perioperative data from 1386 patients undergoing laparoscopic sleeve gastrectomy.
- Multivariable logistic regression to identify independent AKI predictors.
- Nomogram construction and validation (discrimination, calibration, bootstrap, decision curve analysis).
Main Results:
- Five variables independently predicted AKI: ASA status, baseline eGFR, hemoglobin, systolic blood pressure variability (coefficient of variation), and infusion volume.
- The nomogram showed good discrimination (AUC=0.716) and calibration.
- A dynamic web-based version was developed for clinical use.
Conclusions:
- Intraoperative systolic blood pressure variability is integrated into a novel dynamic prediction model for AKI post-sleeve gastrectomy.
- The nomogram serves as a practical tool for early risk stratification.
- This model supports individualized perioperative management for renal protection.
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