Tracking kidney health from childhood into young adulthood

Chronic Kidney Disease in Children (CKiD V)

NIH-funded research Children's Mercy Hosp (Kansas City, Mo) · NIH-11379172

This project follows children and teens with chronic kidney disease to learn how kidney function and heart health change as they grow into young adults.

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionChildren's Mercy Hosp (Kansas City, Mo) NIH-funded
Lab location1 site (Kansas City, United States)
Project IDNIH-11379172 on NIH RePORTER

What this research studies

If you join, the team will continue following children already in the CKiD group and recruit teens aged about 14–17 to follow as they become young adults. Vitals and blood tests can be collected at home through national lab contractors, and health information will also be pulled from medical records between visits. You will be able to enter information online or by phone using secure tools, and the study will combine clinical data with social factors. Researchers will use statistical and machine-learning methods to find which markers and life circumstances are linked to faster kidney decline and heart problems.

Who could benefit from this research

Good fit: Ideal candidates are children and adolescents with chronic kidney disease—especially teens about 14–17 years old for new enrollment and prior CKiD participants continuing into young adulthood.

Not a fit: People without chronic kidney disease or those who cannot participate in remote lab visits, provide medical record access, or commit to long-term follow-up are unlikely to gain direct benefit from joining.

Why it matters

Potential benefit: If successful, this work could help predict which young people are at higher risk of faster kidney decline and guide earlier steps to protect kidney and heart health.

How similar studies have performed: Earlier phases of the CKiD cohort and other pediatric CKD cohorts have produced useful findings about risk factors, while applying machine-learning to predict individual progression is a newer but promising approach.

Where this research is happening

Kansas City, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.