Applicability of individualized metabolic surgery score for prediction of diabetes remission after endoscopic sleeve gastroplasty.

IF 3 Q2 GASTROENTEROLOGY & HEPATOLOGY

Therapeutic Advances in Gastrointestinal Endoscopy Pub Date : 2024-04-25 eCollection Date: 2024-01-01 DOI:10.1177/26317745241247175

Khushboo Gala, Wissam Ghusn, Vitor Brunaldi, Eric J Vargas, Andrew C Storm, Andres Acosta, Barham K Abu Dayyeh

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引用次数: 0

Abstract

Background: Endoscopic sleeve gastroplasty (ESG) is a safe and effective obesity treatment. The individualized metabolic score (IMS) is a validated score that uses preoperative variables predicting T2D remission (DR) in bariatric surgery.

Objectives: We evaluated the applicability of using the IMS score to predict DR in patients after ESG.

Design/methods: We performed a retrospective review of patients with obesity and T2D who underwent ESG. We calculated DR, IMS score, and severity, and divided patients based on IMS category.

Results: The cohort comprised 20 patients: 25% (5) mild, 55% (11) moderate, and 20% (4) severe IMS stages. DR was achieved in 60%, 45.5%, and 0% of patients with mild, moderate, and severe IMS scores (p = 0.08), respectively. IMS score was significantly associated with DR (p = 0.03), with the area under the curve of the receiver operating characteristic for predicting DR 0.85.

Conclusion: These pilot data demonstrate that the IMS score appears to be useful in predicting DR after ESG.

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用于预测内镜袖带胃成形术后糖尿病缓解情况的个体化代谢手术评分。

背景：内镜袖带胃成形术（ESG）是一种安全有效的肥胖症治疗方法。个体化代谢评分（IMS）是一种经过验证的评分方法，它利用术前变量预测减肥手术中的 T2D 缓解（DR）：我们评估了使用 IMS 评分预测 ESG 术后患者 T2D 缓解情况的适用性：我们对接受 ESG 的肥胖和 T2D 患者进行了回顾性研究。我们计算了 DR、IMS 评分和严重程度，并根据 IMS 类别对患者进行了划分：结果：共有 20 名患者：25%（5 人）处于轻度 IMS 阶段，55%（11 人）处于中度 IMS 阶段，20%（4 人）处于重度 IMS 阶段。在轻度、中度和重度 IMS 评分的患者中，分别有 60%、45.5% 和 0% 实现了 DR（P = 0.08）。IMS 评分与 DR 显著相关（p = 0.03），预测 DR 的接收器操作特征曲线下面积为 0.85：这些试验数据表明，IMS 评分似乎有助于预测 ESG 后的 DR。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Therapeutic Advances in Gastrointestinal Endoscopy GASTROENTEROLOGY & HEPATOLOGY-

CiteScore

4.80

自引率

0.00%

发文量

审稿时长

13 weeks