A Case-control Study of Phenotype and Multi-omics Analysis of Children With Congenital Diarrhea and Enteropathy in China
Overview
- Phase
- Not Applicable
- Status
- Recruiting
- Enrollment
- 60
- Locations
- 1
- Primary Endpoint
- Clinical phenotype of congenital diarrhea and enteropathy in China
Overview
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.
Detailed Description
This study will establish a clinical cohort and a clinical phenotype database of children with congenital diarrhea and enteropathy (CODE), The investigator will mine biomarkers of CODE through multi-omics technology. This study is designed to construct a clinical risk prediction model by combining artificial intelligence technology.
Study Design
- Study Type
- Observational
- Observational Model
- Case Control
- Time Perspective
- Cross Sectional
Eligibility Criteria
- Ages
- 1 Month to 3 Years (Child)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •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
Exclusion Criteria
- •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
Outcomes
Primary Outcomes
Clinical phenotype of congenital diarrhea and enteropathy in China
Time Frame: Within approximately 2 years of enrollment
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.
Secondary Outcomes
- Cinical risk prediction model for congenital diarrhea and enteropathy built by artificial intelligence and machine learning(Within approximately 30 months of enrollment)
- Biomarkers of congenital diarrhea and enteropathy with diagnostic value through microbiome, metabolome and proteome features(Within approximately 2 years of enrollment)