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Nomogram for Predicting Suboptimal Weight Loss at Three Years after Roux-en-Y Gastric Bypass Surgery in Chinese Patients with Obesity and Type 2 Diabetes

  • 0Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai, China.
Obesity Facts +

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January 15, 2025

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January 15, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

A new nomogram predicts suboptimal weight loss after Roux-en-Y gastric bypass (RYGB) surgery. This tool helps identify patients at risk for insufficient weight loss or weight regain before their procedure.

Area Of Science

  • Bariatric Surgery
  • Obesity Management
  • Predictive Analytics

Background

  • Suboptimal weight loss after Roux-en-Y gastric bypass (RYGB) necessitates proactive patient identification.
  • Developing strategies to manage insufficient weight loss (IWL) or weight regain (WR) requires pre-surgical risk assessment.

Purpose Of The Study

  • To develop a pre-surgery prediction nomogram for early identification of IWL or WR in Chinese patients undergoing bariatric surgery.
  • To establish a reliable tool for predicting suboptimal weight loss outcomes post-RYGB.

Main Methods

  • A retrospective study of 187 patients with obesity and type 2 diabetes who underwent laparoscopic RYGB.
  • Multivariate logistic regression analysis to identify independent predictors of IWL/WR.
  • Construction and validation of a predictive nomogram using pre-operative factors.

Main Results

  • Male sex, body mass index, and glycated hemoglobin were identified as independent predictors of IWL/WR.
  • The developed nomogram demonstrated a good predictive performance with an AUC of 0.781.
  • The nomogram showed good model fit and calibration, indicating its clinical utility.

Conclusions

  • A pre-surgery nomogram effectively predicts postoperative IWL/WR after RYGB.
  • This tool offers a convenient method for clinicians to anticipate and manage suboptimal weight loss outcomes.
  • The nomogram aids in personalized patient management strategies for bariatric surgery.

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