Unknown

Dataset Information

Combination of serological biomarkers and clinical features to predict mucosal healing in Crohn's disease: a multicenter cohort study.


ABSTRACT:

Purpose

Mucosal healing (MH) has become the treatment goal of patients with Crohn's disease (CD). This study aims to develop a noninvasive and reliable clinical tool for individual evaluation of mucosal healing in patients with Crohn's disease.

Methods

A multicenter retrospective cohort was established. Clinical and serological variables were collected. Separate risk factors were incorporated into a binary logistic regression model. A primary model and a simple model were established, respectively. The model performance was evaluated with C-index, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Internal validation was performed in patients with small intestinal lesions.

Results

A total of 348 consecutive patient

SUBMITTER: Tang N 

PROVIDER: S-EPMC9088028 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature