Development of a Dynamic Prediction Model for Crohn's Disease-Related Intestinal Surgery Using Longitudinal Indices of Routine Blood Tests: A Single-Center Retrospective Cohort Study

June 8, 2026 updated by: Sixth Affiliated Hospital, Sun Yat-sen University

Integration of Subphenotypic Lesions, Imaging-Based Healing Outcomes, and Biomarker Trajectories in a Retrospective Analysis of a Single-Center Retrospective Crohn's Disease Cohort

This single-center retrospective cohort study aims to develop and internally validate a dynamic prediction model that uses longitudinal data from routinely collected blood tests to continuously assess the risk of Crohn's disease (CD)-related intestinal surgery, and to construct a simplified tool for clinical application. Patients with a confirmed diagnosis of CD and serial routine blood tests available during long-term follow-up will be included. Longitudinal trajectories of laboratory markers will be characterized, and their association with CD-related intestinal surgery will be evaluated. A full-variable dynamic prediction model will be built using dynamic random survival forest methodology, and a parsimonious model incorporating only the core laboratory markers will be developed via Bayesian joint model. The goal is to establish a practical, non-invasive, and dynamic risk assessment framework to support the transition from reactive to proactive long-term management of CD.

Study Overview

Status

Completed

Conditions

Study Type

Observational

Enrollment (Actual)

500

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

This retrospective cohort study included patients with a confirmed diagnosis of Crohn's disease (CD) at the Inflammatory Bowel Disease Center of the Sixth Affiliated Hospital of Sun Yat-sen University between January 1, 2010, and December 31, 2019. All patients had regular follow-up at this center for more than 5 years and had at least two routine blood tests available during follow-up. Data were retrospectively collected from electronic medical records, with the last follow-up date of December 31, 2026.

Description

Inclusion Criteria:

  • Confirmed diagnosis of CD
  • Regular follow-up at this center for more than 5 years

Exclusion Criteria:

  • Incomplete clinical data
  • Fewer than 2 blood tests during the follow-up period

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Retrospective Cohort of Patients with Crohn's Disease
Patients with a confirmed diagnosis of Crohn's disease (CD) were identified from a single-center electronic medical record database. Eligible patients were those who had at least three routine blood test records available during long-term follow-up and for whom complete information on baseline characteristics and CD-related intestinal surgery events could be ascertained. Serial longitudinal data of routine blood parameters were retrospectively extracted. The cohort will be used to develop and internally validate a dynamic prediction model for CD-related intestinal surgery.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Crohn's disease-related intestinal surgery
Time Frame: Follow-up began at diagnosis and ended at death, loss to follow-up, or December 31, 2026, whichever occurred first.
CD-related intestinal surgeries included intestinal resection, ostomy creation, and similar procedures. The onset of a CD-related intestinal surgery was defined as the time point when it was first detected on imaging during follow-up.
Follow-up began at diagnosis and ended at death, loss to follow-up, or December 31, 2026, whichever occurred first.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Sixth Affiliated Hospital, Sun Yat-sen University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2010

Primary Completion (Actual)

December 31, 2019

Study Completion (Actual)

January 1, 2026

Study Registration Dates

First Submitted

June 8, 2026

First Submitted That Met QC Criteria

June 8, 2026

First Posted (Actual)

June 12, 2026

Study Record Updates

Last Update Posted (Actual)

June 12, 2026

Last Update Submitted That Met QC Criteria

June 8, 2026

Last Verified

June 1, 2026

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2025ZSLYEC-512

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

The individual participant data were collected retrospectively from routine clinical practice without specific informed consent for data sharing. Institutional ethics approval does not permit public deposition of patient-level data.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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