Scientific Reports (Dec 2023)

Development and validation of a blood routine-based extent and severity clinical decision support tool for ulcerative colitis

  • Hongliang Chen,
  • Xindi Lin,
  • Xinyue Pan,
  • Hongyu Xu,
  • Xuemei Zhang,
  • Guoying Liang,
  • Jiawei Qiu,
  • Xueyan Zhang,
  • Yang Gao,
  • Xin Tan,
  • Ning Li,
  • Huimin Cai,
  • Xueyu Cang,
  • Jihan Qi,
  • Wei Li,
  • Shuang Li,
  • Yutong Zheng,
  • Lei Zhao,
  • Shizhu Jin

DOI
https://doi.org/10.1038/s41598-023-48569-5
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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Abstract Monitoring extent and severity is vital in the ulcerative colitis (UC) follow-up, however, current assessment is complex and low cost-effectiveness. We aimed to develop a routine blood-based clinical decision support tool, Jin’s model, to investigate the extent and severity of UC. The multicentre retrospective cohort study recruited 975 adult UC inpatients and sub-grouped into training, internal validation and external validation set. Model was developed by logistics regression for the extent via Montreal classification and for the severity via Mayo score, Truelove and Witts score (TWS), Mayo endoscopic score (MES) and Degree of Ulcerative colitis Burden of Luminal Inflammation (DUBLIN) score. In Montreal classification, left-sided and extensive versus proctitis model achieved area under the receiver operating characteristic curve (AUROC) of 0.78 and 0.81 retrospectively. For severity, Mayo score model, TWS model, MES model and DUBLIN score model achieved an AUROC of 0.81, 0.70, 0.74 and 0.70 retrospectively. The models also were evaluated with satisfactory calibration and clinical unity. Jin’s model was free with open access at http://jinmodel.com:3000/ . Jin’s model is a noninvasive, convenient, and efficient approach to assess the extent and severity of UC.