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预测减重手术后体重减轻不足:四因素模型的建立和验证。

Predicting Inadequate Weight Loss After Bariatric Surgery: Derivation and Validation of a Four Factor Model.

机构信息

Department of Bariatric and Upper GI Surgery, Royal Infirmary Edinburgh, NHS Lothian, Edinburgh, UK.

出版信息

Obes Surg. 2024 Aug;34(8):2991-2998. doi: 10.1007/s11695-024-07383-2. Epub 2024 Jul 9.

Abstract

INTRODUCTION

Weight loss following bariatric surgery is variable and predicting inadequate weight loss is required to help select patients for bariatric surgery. The aim of the present study was to determine variables associated with inadequate weight loss and to derive and validate a predictive model.

METHODS

All patients who underwent laparoscopic sleeve gastrectomy and Roux-en-Y gastrectomy (2008-2022) in a tertiary referral centre were followed up prospectively. Inadequate weight loss was defined as excess weight loss (EWL) < 50% by 24 months. A top-down approach was performed using multivariate logistic regression and then internally validated using bootstrapping. Patients were categorised into risk groups.

RESULTS

A total of 280 patients (median age, 49 years; M:F, 69:211) were included (146 LSG; 134 LRYGB). At 24 months, the median total weight loss was 30.9% and 80.0% achieved EWL ≥ 50% by 24 months. Variables associated with inadequate weight loss were T2DM (OR 2.42; p = 0.042), age 51-60 (OR 1.93, p = 0.006), age > 60 (OR 4.93, p < 0.001), starting BMI > 50 kg/m² (OR 1.93, p = 0.037) and pre-operative weight loss (OR 3.51; p = 0.036). The validation C-index was 0.75 (slope = 0.89). Low, medium and high-risk groups had a 4.9%, 16.7% and 44.6% risk of inadequate weight loss, respectively.

CONCLUSIONS

Inadequate weight loss can be predicted using a four factor model which could help patients and clinicians in decision-making for bariatric surgery.

摘要

介绍

减重手术后的体重减轻是可变的,预测体重减轻不足对于帮助选择接受减重手术的患者非常重要。本研究的目的是确定与体重减轻不足相关的变量,并得出和验证一个预测模型。

方法

对一家三级转诊中心 2008 年至 2022 年期间接受腹腔镜袖状胃切除术和 Roux-en-Y 胃旁路术的所有患者进行前瞻性随访。体重减轻不足定义为 24 个月时的 excess weight loss (EWL) < 50%。采用多变量逻辑回归进行自上而下的方法,然后使用自举法进行内部验证。将患者分为风险组。

结果

共纳入 280 例患者(中位年龄 49 岁;M:F,69:211)(146 例 LSG;134 例 LRYGB)。24 个月时,总体重减轻中位数为 30.9%,80.0%的患者在 24 个月时达到 EWL≥50%。与体重减轻不足相关的变量为 T2DM(OR 2.42;p=0.042)、年龄 51-60(OR 1.93,p=0.006)、年龄>60(OR 4.93,p<0.001)、起始 BMI>50 kg/m²(OR 1.93,p=0.037)和术前体重减轻(OR 3.51;p=0.036)。验证的 C 指数为 0.75(斜率=0.89)。低、中、高危组的体重减轻不足风险分别为 4.9%、16.7%和 44.6%。

结论

可以使用包含四个因素的模型预测体重减轻不足,这有助于患者和临床医生在做出减重手术决策时参考。

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