Developing a predictive model for delayed healing of esophagojejunal anastomotic fistula following total gastrectomy based on imaging and clinical inflammatory-nutritional status.

IF 2.9 Q3 NUTRITION & DIETETICS Clinical nutrition ESPEN Pub Date : 2025-01-13 DOI:10.1016/j.clnesp.2025.01.027
Bo Liu, Yuan Xu, Xijie Zhang, Xiaojiao Yin, Zhoujing Zhang, Bo Ren, Wence Zhou, Shuangyong Liu
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Abstract

Background: Esophagojejunal anastomotic fistula (EJF) following radical total gastrectomy is a severe perioperative complication in patients with gastric cancer, particularly as delayed fistula healing increases hospitalization costs and leads to poor prognosis. Numerous factors influence the occurrence and progression of EJF, with inflammation and nutritional status being significant contributors to perioperative complications. Therefore, this study aims to investigate the prediction of delayed EJF healing based on postoperative clinical and imaging-related inflammation-nutrition status.

Methods: We retrospectively collected data on 315 cases of EJF following radical total gastrectomy for gastric cancer from two centers between 2015 and 2023 (training group: center one with 194 cases, validation group: center two with 121 cases). EJF was diagnosed based on clinical presentation, gastrointestinal imaging, or endoscopic findings. The healing time for EJF was defined as the period from diagnosis to the removal of the abdominal drainage tube, and patients were categorized into early healing and delayed healing groups based on the median healing time. Postoperative abdominal computed tomography(CT) scans and clinical characteristics at the time of EJF diagnosis were collected. Univariate and multivariable logistic regression analyses were performed on the training group data to construct a predictive model (nomogram). The model's performance in both the training and validation groups was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), calibration curves, and decision curve analysis (DCA).

Result: The mean healing time for EJF was 16 ± 7 days (median time: 12 days, range: 4-43 days). Postoperative systemic immune-inflammation index (SII) > 521×10ˆ9/L, controlling nutritional status score (CONUT) > 4, nutritional support method, visceral fat index (VFI) < 74.42 cm2/m2, and skeletal muscle index (SMI) < 41.25 cm2/m2 were associated with delayed EJF healing times. A comprehensive model was developed, in the validation group, the model demonstrated an AUC of 0.838 (95% confidence interval (95% CI): 0.763-0.912). The DCA and calibration curves indicated a strong predictive consistency and clinical utility of the model.

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基于影像学和临床炎症营养状况建立全胃切除术后食管-空肠吻合口瘘延迟愈合的预测模型。
背景:胃癌根治性全胃切除术后食管空肠吻合瘘(EJF)是胃癌患者围手术期的严重并发症,尤其是瘘的延迟愈合增加了住院费用并导致预后不良。许多因素影响EJF的发生和进展,炎症和营养状况是围手术期并发症的重要因素。因此,本研究旨在探讨基于术后临床和影像学相关炎症营养状况的EJF延迟愈合的预测。方法:回顾性收集2015 - 2023年两个中心胃癌根治全胃切除术后发生EJF的315例患者资料(训练组:中心一194例,验证组:中心二121例)。EJF的诊断基于临床表现、胃肠道影像或内镜检查结果。EJF的愈合时间定义为从诊断到拔除腹腔引流管的时间,根据中位愈合时间将患者分为早期愈合组和延迟愈合组。收集术后腹部计算机断层扫描(CT)和EJF诊断时的临床特征。对训练组数据进行单变量和多变量logistic回归分析,构建预测模型(nomogram)。采用受试者工作特征曲线(ROC)下面积、校准曲线和决策曲线分析(DCA)来评估模型在训练组和验证组的性能。结果:EJF的平均愈合时间为16±7天(中位12天,范围4 ~ 43天)。术后全身免疫炎症指数(SII) > 521×10 - 9/L、控制营养状态评分(CONUT) > - 4、营养支持方式、内脏脂肪指数(VFI) < 74.42 cm2/m2、骨骼肌指数(SMI) < 41.25 cm2/m2与EJF愈合时间延迟相关。建立综合模型,验证组模型AUC为0.838(95%置信区间(95% CI): 0.763 ~ 0.912)。DCA和校准曲线表明该模型具有较强的预测一致性和临床实用性。
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来源期刊
Clinical nutrition ESPEN
Clinical nutrition ESPEN NUTRITION & DIETETICS-
CiteScore
4.90
自引率
3.30%
发文量
512
期刊介绍: Clinical Nutrition ESPEN is an electronic-only journal and is an official publication of the European Society for Clinical Nutrition and Metabolism (ESPEN). Nutrition and nutritional care have gained wide clinical and scientific interest during the past decades. The increasing knowledge of metabolic disturbances and nutritional assessment in chronic and acute diseases has stimulated rapid advances in design, development and clinical application of nutritional support. The aims of ESPEN are to encourage the rapid diffusion of knowledge and its application in the field of clinical nutrition and metabolism. Published bimonthly, Clinical Nutrition ESPEN focuses on publishing articles on the relationship between nutrition and disease in the setting of basic science and clinical practice. Clinical Nutrition ESPEN is available to all members of ESPEN and to all subscribers of Clinical Nutrition.
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