NCT06356545

Brief Summary

This study will establish a clinical cohort of children with congenital diarrhea and enteropathy (CODE), mine biomarkers of CODE through multi-omics technology and construct a clinical risk prediction model.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
60

participants targeted

Target at P25-P50 for all trials

Timeline
5mo left

Started Apr 2024

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress84%
Apr 2024Oct 2026

First Submitted

Initial submission to the registry

March 21, 2024

Completed
20 days until next milestone

First Posted

Study publicly available on registry

April 10, 2024

Completed
5 days until next milestone

Study Start

First participant enrolled

April 15, 2024

Completed
2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2026

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2026

Expected
Last Updated

September 10, 2025

Status Verified

September 1, 2025

Enrollment Period

2 years

First QC Date

March 21, 2024

Last Update Submit

September 3, 2025

Conditions

Outcome Measures

Primary Outcomes (1)

  • Clinical phenotype of congenital diarrhea and enteropathy in China

    Describe the clinical phenotype(Birth status, family history, clinical features of diarrhea, laboratory examination, endoscopic and histological evaluation results, growth and development indicators, previous treatment and effect were collected) of congenital diarrhea and enteropathy in China,We will use our own mobile application or to collect the relevant data, which will be filled in by the parents of the child.

    Within approximately 2 years of enrollment

Secondary Outcomes (2)

  • Biomarkers of congenital diarrhea and enteropathy with diagnostic value through microbiome, metabolome and proteome features

    Within approximately 2 years of enrollment

  • Cinical risk prediction model for congenital diarrhea and enteropathy built by artificial intelligence and machine learning

    Within approximately 30 months of enrollment

Study Arms (2)

Case

Congenital diarrhea and enteropathy (CODE) patients

Control

Healthy children

Eligibility Criteria

Age1 Month - 3 Years
Sexall
Healthy VolunteersYes
Age GroupsChild (0-17)
Sampling MethodNon-Probability Sample
Study Population

Patients with chronic diarrhea lasting greater than 2 months or greater than 1 month in patients younger than 2 months of age

You may qualify if:

  • Patients with chronic diarrhea lasting greater than 2 months or greater than 1 month in patients younger than 2 months of age
  • Patients with consent from parents or legal guardians

You may not qualify if:

  • Chronic diarrhea caused by specific infections, i.e. CMV, Clostridioides difficile
  • Chronic diarrhea with necrotizing enterocolitis, short bowel syndrome
  • Functional diarrhea
  • Patients with poor compliance

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Yanqiu Wang

Shanghai, Shanghai Municipality, 201102, China

RECRUITING

MeSH Terms

Conditions

Diarrhea, Infantile

Condition Hierarchy (Ancestors)

DiarrheaSigns and Symptoms, DigestiveSigns and SymptomsPathological Conditions, Signs and Symptoms

Central Study Contacts

Ying Huang, MD,PHD

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 21, 2024

First Posted

April 10, 2024

Study Start

April 15, 2024

Primary Completion

April 1, 2026

Study Completion (Estimated)

October 1, 2026

Last Updated

September 10, 2025

Record last verified: 2025-09

Locations