Nomogram for Predicting 5-Year Diabetes Remission After Roux-en-Y Gastric Bypass Surgery in Chinese Patients with Obesity.

Abstract

PURPOSE:

Roux-en-Y gastric bypass (RYGB) is widely used as an effective treatment for type 2 diabetes (T2D) patients with obesity; long-term (> 5 years) diabetes remission (DR) rates have been less frequently reported. To date, there is no validated model to guide procedure selection based on long-term glucose control in patients with T2D. The purpose of this study is to establish a new tool for predicting long-term DR with a nomogram.

MATERIALS AND METHODS:

One hundred five individuals with complete preoperative information and undergoing RYGB in a university hospital were enrolled in this retrospective study. DR criteria after bariatric surgery were defined according to the 2009 ADA guideline. Fifteen individuals were lost to 5-year follow-up. Thus, 90 individuals were available and seen at the end of follow-up. The baseline and 5-year data of these 90 individuals were analyzed. Multivariate logistic regression analysis was performed to identify independent predictors for long-term DR, and these predictors were used to create a nomogram.

RESULTS:

Preoperative glycated hemoglobin (A1C) and diabetes duration were identified as independent influential factors that could be combined for precise prediction of long-term complete DR. We created a nomogram by using these 2 factors. The area under the curve was 0.78 (95% confidence interval 0.67-0.89). The Hosmer-Lemeshow X2 value of nomogram was 3.86 (P = 0.87) and indicated consistency between predicted and observed remission.

CONCLUSION:

Our nomogram was a novel and useful tool for accurate prediction of long-term DR after RYGB.

• Authors: Yunhui Pan, Xiaodong Han, HoiMan Kam, Yinfang Tu, Junfeng Han, Pin Zhang, Yuqian Bao, Haoyong Yu
• Journal: Obesity surgery (Obes Surg) Vol. 32 Issue 5 Pg. 1556-1562 (05 2022) ISSN: 1708-0428 [Electronic] United States
• PMID: 35178616 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: © 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Topics

• China (epidemiology)
• Diabetes Mellitus, Type 2 (surgery)
• Gastric Bypass (methods)
• Humans
• Nomograms
• Obesity (surgery)
• Obesity, Morbid (surgery)
• Remission Induction
• Retrospective Studies
• Treatment Outcome