Validation, Implementation, and Cost-analysis of a Strategy for Personalized Diagnosis of Rare Kidney Diseases

Recruiting now · Not applicable

Conditions studied: Chronic Kidney Diseases

In brief

Chronic kidney disease (CKD) affects about 10% of the world population, with high morbidity and mortality. Genetic kidney diseases are increasingly recognized across all age groups and represent over 20% of all the causes of CKD. Accurate diagnosis allows necessary and unnecessary diagnostic procedures to be defined, avoids unnecessary treatments, improves prognosis prediction, identifies other family members for genetic counseling, and defines risks for living donor kidney transplantation. The research group coordinated by the Principal Investigator has recently developed an algorithm for the genetic diagnosis in pediatric and adult patients with CKD. The application of this personalized diagnostic algorithm on a local study led to a global diagnostic yield of 70%, suggesting that this strategy has the potential to substantially improve the diagnostic approach to patients with rare kidney disorders. The aim of this study is to validate and implement these results by extending its application in a multicentric study involving nephrology units that are referral centers for rare kidney diseases at national level.

Key facts

Study ID
NCT06324136
Run by
Meyer Children's Hospital IRCCS
People needed
300
Starts
2023-07-06
Expected to finish
2026-12-30
Last updated by the study team
2024-03-21

Who can join

Age: any, up to 70. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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