Acute Kidney Injury Clinical Trial
— DIRECTOfficial title:
The Genetic Contribution to Drug Induced Renal Injury: The Drug Induced Renal Injury Consortium (DIRECT)
Some medications are known to cause kidney damage because the person is allergic to the medication while others cause direct damage to the kidney because they are toxic at certain concentrations. Risk factors for developing kidney damage have been identified for some medications but not for all. Patients who are exposed to these important medications and develop problems with their kidneys may have some genetic risk. The purpose of this study is to determine the genetic risk factors for drug induced kidney injury. A better understanding of the role of genetics for the development of kidney injury from medications will allow us to better select medications, improve effectiveness of treatment and minimize harm.
Status | Completed |
Enrollment | 634 |
Est. completion date | December 2015 |
Est. primary completion date | December 2015 |
Accepts healthy volunteers | No |
Gender | Both |
Age group | 2 Years and older |
Eligibility |
Inclusion Criteria: - Patients age 2 years and older - Exposure to a candidate drug for at least 24 hours (see above) - Patients who have developed DIRI as defined by the primary criteria - Written informed consent or assent and consent obtained - If patient lacks capacity to consent then surrogate consent will be obtained Exclusion Criteria: - Patients with a history of or have a kidney transplant - Patients with a history of or have a bone marrow transplant - Patients with Chronic Kidney Disease stage 5 (eGFR < 15 mL/min/1.73m2) - Patients on 3 or more causal drugs - Patients with no history or time course on drug exposure - Patient who, in the opinion of the Investigator, is not suitable to participate in the study. - Unable to obtain written informed consent or assent - Unable to obtain surrogate consent for patients who lack capacity |
Observational Model: Cohort, Time Perspective: Prospective
Country | Name | City | State |
---|---|---|---|
Bolivia | Universidad del Valle, Cochabamba | Cochabamba | |
Canada | Hopital Sacre Coeur & Universite de Montreal | Montreal | Quebec |
Chile | Universidad de Los Andes | Santiago | |
India | CARE Hospitals | Banjara Hills | Hyderabad |
India | Postgraduate Institute of Research, Chandigarh | Chandigarh | |
United Kingdom | St James's University Hospital | Leeds | West Yorkshire |
United Kingdom | Guy's & St Thomas's Hospital | London | |
United Kingdom | Royal Free Hospital | London | |
United Kingdom | Newcastle University | Newcastle upon Tyne | Tyne and Wear |
United Kingdom | University of Nottingham | Nottingham | |
United States | St. Peter's Hospital | Albany | New York |
United States | University of Michigan | Ann Arbor | Michigan |
United States | University of Colorado | Aurora | Colorado |
United States | University of Alabama, Birmingham | Birmingham | Alabama |
United States | Cincinnati Children's Hospital | Cincinnati | Ohio |
United States | Jacobi Medical Center | New York | New York |
United States | Rady Children's Hospital | San Diego | California |
United States | University of California, San Diego | San Diego | California |
Lead Sponsor | Collaborator |
---|---|
Ravindra Mehta | International Serious Adverse Event Consortium |
United States, Bolivia, Canada, Chile, India, United Kingdom,
Mehta RL, Awdishu L, Davenport A, Murray PT, Macedo E, Cerda J, Chakaravarthi R, Holden AL, Goldstein SL. Phenotype standardization for drug-induced kidney disease. Kidney Int. 2015 Aug;88(2):226-34. doi: 10.1038/ki.2015.115. Epub 2015 Apr 8. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Identify genes that predispose to dose dependent (Type A) or hypersensitivity (Type B) during drug induced nephrotoxicity. | Blood Draw (20 cc) and urine collection (80cc) | At time of enrollment | No |
Secondary | To identify specific alterations in drug metabolism pathways that contribute to drug induced renal injury with different drugs. | We will perform a GWAS to examine the association of common genetic variants with the development of DIRI. For assessing association between a common SNP and the risk of DIRI, association tests will be undertaken to compare genotype frequencies between cases and controls. We will use logistic regression models under the assumption of an additive genetic model and incorporate potential confounders and covariates. Dominant, recessive models will also be checked through alternative coding of the genotype for SNPs approaching significance. | DNA sample collected at time of enrollment. | No |
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