Loading clinical trials...
Loading clinical trials...
The aim of this study is to early detect kidney disease in the natural population cohort of children by urine and ultrasound screening, to assist in the precise prevention and treatment of children's kidney disease, and to establish a risk prediction system for children's kidney disease. About 10,000 children called KunQi Cohort are born in Jiangsu Province(8,000 in Kunshan and 2,000 in Qidong) and about 3,000 born in Shanghai. Through the project, child who is found with abnormal urine or ultrasound result will be referred to Children's Hospital of Fudan University to get further examination and treatment.
Chronic kidney disease (CKD) often has an insidious onset. Early detection of CKD and more aggressive treatment and monitoring of high-risk CKD patients at risk of progression are the consensus of current medical practice. However, there is currently no CKD risk prediction system for the Chinese population, especially children. The main goal of this project is to establish a risk prediction system for children's kidney disease, and to assist in the precise prevention and treatment of children's kidney disease. The project is based on the "urine and ultrasound screening" strategy that has been carried out for more than ten years in Shanghai, using a non-invasive and effective screening method in the natural population cohort of children, in order to detect kidney disease in the early stage.
Age
0 - 6 years
Sex
ALL
Healthy Volunteers
Yes
Qidong City Maternal and Child Health Hospital
Nantong, Jiangsu, China
Kunshan City Maternal and Child Health Hospita
Suzhou, Jiangsu, China
Start Date
April 12, 2022
Primary Completion Date
February 1, 2028
Completion Date
February 1, 2028
Last Updated
November 18, 2024
13,000
ESTIMATED participants
Urine and Ultrasound Screening
OTHER
Lead Sponsor
Children's Hospital of Fudan University
Collaborators
NCT07485530
NCT07286591
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and Conditions