Research Institute of General Surgery, Jinling Hospital, Nanjing Medical University.
Department of General Surgery, The Affiliated Zhuzhou Hospital Central South University, Zhuzhou.
Int J Surg. 2024 Sep 1;110(9):5595-5604. doi: 10.1097/JS9.0000000000001655.
This study was designed to develop and validate a nomogram for predicting intolerable early enteral nutrition (EEN) following definitive surgery (DS) for small intestinal fistula.
A total of 377 patients, recruited from January 2016 to September 2023, was randomly allocated into development ( n =251) and validation ( n =126) groups in a 2:1 ratio. Risk factors were identified using the nomogram. Its performance was assessed based on calibration, discrimination, and clinical utility, with validation confirming its effectiveness.
Of the 377 patients, 87 (23.1%) were intolerant to EEN, including 59 (23.1%) in the development cohort and 28 (22.1%) in the validation cohort ( P =0.84). Four factors were identified as predictive of intolerable EEN: severe abdominal adhesion, deciliter of blood loss during DS, human serum albumin (Alb) input >40 g during and within 48 h post-DS, and the visceral fat area (VFA)/total abdominal muscle area index (TAMAI) ratio. The model demonstrated excellent discrimination, with a C-index of 0.79 (95% CI: 0.74-0.87, including internal validation) and robust calibration. In the validation cohort, the nomogram showed strong discrimination (C-index=0.77; 95% CI: 0.64-0.87) and solid calibration. Decision curve analysis affirmed the nomogram's clinical utility.
This research introduces a nomogram that enables the individualized prediction of intolerable EEN following DS for small intestinal fistula, demonstrating a possible clinical utility.
本研究旨在开发和验证一种列线图,用于预测小肠瘘确定性手术后(DS)无法耐受早期肠内营养(EEN)的情况。
2016 年 1 月至 2023 年 9 月,共招募了 377 名患者,按照 2:1 的比例随机分配到开发(n=251)和验证(n=126)组。使用列线图确定风险因素。通过校准、区分度和临床实用性评估其性能,并通过验证确认其有效性。
377 名患者中,87 名(23.1%)对 EEN 不耐受,其中 59 名(23.1%)来自开发队列,28 名(22.1%)来自验证队列(P=0.84)。有四个因素被确定为不可耐受 EEN 的预测因素:严重腹部粘连、DS 期间失血 10 分升、DS 期间和之后 48 小时内输入人血清白蛋白(Alb)>40g 和内脏脂肪面积(VFA)/总腹部肌肉面积指数(TAMAI)比值。该模型具有出色的区分度,C 指数为 0.79(95%CI:0.74-0.87,包括内部验证),校准效果良好。在验证队列中,该列线图表现出较强的区分度(C 指数=0.77;95%CI:0.64-0.87)和良好的校准度。决策曲线分析证实了该列线图的临床实用性。
本研究引入了一种列线图,可用于预测小肠瘘 DS 后无法耐受 EEN 的情况,具有一定的临床应用价值。