A nomogram to predict stoma creation in elective surgical resection for penetrating Crohn's disease

Author:

Sun Zhenya1,Cao Lei1,Guo Zhen1,Zhou Yan1,Zhu Weiming1,Li Yi1ORCID

Affiliation:

1. Department of General Surgery Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University Nanjing China

Abstract

AbstractBackgroundsThe decision to perform a stoma during surgical resection of penetrating Crohn's disease (CD) is a critical consideration. The objective of this study was to identify factors that influence stoma creation and develop a predictive nomogram model to assist surgeons in making optimal surgical decisions.MethodsA retrospective study was conducted at a tertiary center from December 1, 2012, to December 1, 2021, involving consecutive patients with penetrating CD who underwent elective surgical resection. The LASSO regression method was used to select preoperative predictors, and a nomogram was constructed using multivariate logistic regression. The performance of the nomogram was validated in an internal cohort by assessing its discrimination, calibration, and clinical usefulness.ResultsThe study included 405 cases in the training group and 135 cases in the validation group. Nine risk factors for stoma formation were identified, including disease location, fistula resulted from previous anastomosis, absence of preoperative exclusive enteral nutrition support, albumin levels below 35 g/L, C‐reactive protein levels above 10 mg/L, hemoglobin levels below 100 g/L, perianal disease, internal fistula, and surgical approach. These risk factors were selected using the LASSO regression method, and a nomogram was developed based on them. The area under the curve and the coefficient of determination (R2) of the nomogram were 0.821 and 0.394, respectively. And the nomogram demonstrated good performance in the validation cohort.ConclusionsThe nomogram exhibited good predictive ability for stoma formation during elective surgical resection for penetrating CD, which can assist surgeons in making informed clinical decisions.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine,Surgery

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3