Preoperative body composition measured by bioelectrical impedance analysis can predict pancreatic fistula after pancreatic surgery.

IF 2.1 4区 医学 Q3 NUTRITION & DIETETICS
Qianwen Jin, Jun Zhang, Jiabin Jin, Jiaqiang Zhang, Si Fei, Yang Liu, Zhiwei Xu, Yongmei Shi
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引用次数: 0

Abstract

Background: Postoperative pancreatic fistula (POPF) remains one of the most severe complications after pancreatic surgery. The methods for predicting pancreatic fistula are limited. We aimed to investigate the predictive value of body composition parameters measured by preoperative bioelectrical impedance analysis (BIA) on the development of POPF.

Methods: A total of 168 consecutive patients undergoing pancreatic surgery from March 2022 to December 2022 at our institution were included in the study and randomly assigned at a 3:2 ratio to the training group and the validation group. All data, including previously reported risk factors for POPF and parameters measured by BIA, were collected. Risk factors were analyzed by univariable and multivariable logistic regression analysis. A prediction model was established to predict the development of POPF based on these parameters.

Results: POPF occurred in 41 of 168 (24.4%) patients. In the training group of 101 enrolled patients, visceral fat area (VFA) (odds ratio [OR] = 1.077, P = 0.001) and fat mass index (FMI) (OR = 0.628, P = 0.027) were found to be independently associated with POPF according to multivariable analysis. A prediction model including VFA and FMI was established to predict the development of POPF with an area under the receiver operating characteristic curve (AUC) of 0.753. The efficacy of the prediction model was also confirmed in the internal validation group (AUC 0.785, 95% CI 0.659-0.911).

Conclusions: Preoperative assessment of body fat distribution by BIA can predict the risk of POPF after pancreatic surgery.

通过生物电阻抗分析测量的术前身体成分可预测胰腺手术后的胰瘘。
背景:术后胰瘘(POPF)仍是胰腺手术后最严重的并发症之一。预测胰瘘的方法很有限。我们旨在研究通过术前生物电阻抗分析(BIA)测量的身体成分参数对 POPF 发生的预测价值:研究纳入了 2022 年 3 月至 2022 年 12 月期间在我院接受胰腺手术的 168 例连续患者,并按 3:2 的比例随机分配到训练组和验证组。研究人员收集了所有数据,包括之前报道的 POPF 风险因素和 BIA 测量参数。通过单变量和多变量逻辑回归分析对风险因素进行了分析。根据这些参数建立了一个预测模型,以预测 POPF 的发生:结果:168 例患者中有 41 例(24.4%)发生了 POPF。在由 101 名患者组成的训练组中,根据多变量分析,发现内脏脂肪面积(VFA)(几率比 [OR] = 1.077,P = 0.001)和脂肪质量指数(FMI)(OR = 0.628,P = 0.027)与 POPF 独立相关。建立了一个包括 VFA 和 FMI 的预测模型来预测 POPF 的发生,其接收器操作特征曲线下面积 (AUC) 为 0.753。该预测模型的有效性在内部验证组中也得到了证实(AUC 0.785,95% CI 0.659-0.911):结论:术前通过 BIA 评估身体脂肪分布可以预测胰腺手术后发生 POPF 的风险。
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来源期刊
CiteScore
6.00
自引率
9.70%
发文量
128
审稿时长
3 months
期刊介绍: NCP is a peer-reviewed, interdisciplinary publication that publishes articles about the scientific basis and clinical application of nutrition and nutrition support. NCP contains comprehensive reviews, clinical research, case observations, and other types of papers written by experts in the field of nutrition and health care practitioners involved in the delivery of specialized nutrition support. This journal is a member of the Committee on Publication Ethics (COPE).
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