Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, China.
Obes Surg. 2024 Nov;34(11):4125-4135. doi: 10.1007/s11695-024-07518-5. Epub 2024 Sep 28.
Fat mass index (FMI) is a body composition indicator that reflects body fat content. Laparoscopic sleeve gastrectomy (LSG) is widely performed in patients with obesity.
This study aimed to evaluate the value of the FMI in predicting weight loss effect and quality of life early after LSG.
From January 2014 to July 2022, the clinical data and computed tomography (CT) images of patients who underwent LSG at a tertiary referral teaching hospital were analyzed. Body composition indicators were calculated using the SliceOmatic software. Achieving initial body mass index within 6 months postoperatively was defined as early eligible weight loss (EEWL). The relationship between body composition and EEWL was analyzed.
A total of 243 patients were included. Receiver operating characteristic (ROC) curve analysis showed that the predictive value of the FMI for EEWL in patients after LSG was higher than that of other indicators (all P < 0.05; area under the curve = 0.813). The best FMI cut-off point was 13.662. Accordingly, the patients were divided into the high-FMI group and low-FMI group. The %EWL and BMI of patients in the low-FMI group at 1, 3, 6, 9, 12, and 24 months after surgery were better than those in the high-FMI group (all P < 0.001). Patients in the low-FMI group had higher BAROS (Bariatric Analysis and Reporting Outcome System) scores than those in the high-FMI group (P < 0.001).
Compared with other body composition indicators, FMI can effectively predict the early effect of weight loss and quality of life after LSG.
脂肪质量指数（FMI）是反映体脂含量的身体成分指标。腹腔镜袖状胃切除术（LSG）广泛应用于肥胖患者。
本研究旨在评估 FMI 在预测 LSG 后早期体重减轻效果和生活质量方面的价值。
回顾性分析 2014 年 1 月至 2022 年 7 月在一家三级转诊教学医院接受 LSG 的患者的临床数据和计算机断层扫描（CT）图像。使用 SliceOmatic 软件计算身体成分指标。术后 6 个月内达到初始体重指数被定义为早期合格体重减轻（EEWL）。分析身体成分与 EEWL 的关系。
共纳入 243 例患者。受试者工作特征（ROC）曲线分析显示，FMI 对 LSG 后患者 EEWL 的预测价值高于其他指标（均 P<0.05；曲线下面积=0.813）。最佳 FMI 截断点为 13.662。据此，将患者分为高 FMI 组和低 FMI 组。术后 1、3、6、9、12 和 24 个月时，低 FMI 组患者的 %EWL 和 BMI 均优于高 FMI 组（均 P<0.001）。低 FMI 组患者的 BAROS（减重分析和报告结果系统）评分高于高 FMI 组（P<0.001）。
与其他身体成分指标相比，FMI 可以有效预测 LSG 后早期体重减轻效果和生活质量。
