A New Risk Prediction Model for Detecting Endoscopic Activity of Ulcerative Colitis.

ABSTRACT:

Background/aims

Ulcerative colitis (UC) is an incurable, relapsing-remitting inflammatory disease that increases steadily. Mucosal healing has become the primary therapeutic objective for UC. Nevertheless, endoscopic assessments are invasive, expensive, time-consuming, and inconvenient. Therefore, it is crucial to develop a noninvasive predictive model to monitor endoscopic activity in patients with UC.

Methods

Clinical data of 198 adult patients with UC were collected from January 2016 to August 2022 at Huadong Hospital, China.

Results

Patients with UC were randomly divided into the training cohort (70%, n=138) and the validation cohort (30%, n=60). The receiver operating characteristic curve value for the training group was 0.858 (95% confidence interval [CI], 0.781

SUBMITTER: Guan G 

PROVIDER: S-EPMC11391131 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature