Between 2003-20013, the prospective Chronic Renal Insufficiency Cohort (CRIC) Study enrolled 3939 adults with chronic kidney disease to address overarching goals of identifying predictors of rapid progression of kidney disease and clarifying the relationship between kidney dysfunction and the risks of subclinical and clinical cardiovascular events, death. The third phase of CRIC extending follow-up through 2018, and recruiting a new cohort of participants offers a unique opportunity to leverage the existing effort and success of CRIC to establish a cohort of participants with chronic kidney disease who have long-term prospective follow-up on progression of kidney disease and a variety of different outcomes. This unparalleled resource will also expand the science related to chronic kidney disease natural history as well as the impact on cardiovascular disease and other adverse events.
Specific Aims to be addressed by the Case Western Reserve University Clinical Center are: 1. To re-enroll a high percentage of current CRIC participants into Phase 3 of CRIC 2. To recruit 215 new participants meeting eligibility criteria defined by the study protocol 3. To collet exposure and outcome data per the CRIC protocol 4. To maintain high levels of retention in the study, 5. To investigate self-reported clinical events and obtain supporting medical records and documentation, 6. To enter data and process/ship biological specimens. 7. To implement local quality assurance and quality control procedures as a means to obtain standardized, high quality measurements 8. To monitor data collection, data entry, and follow-up rates 8. To participate in the overall governance and oversight of the CRIC study through active involvement in study wide subcommittees and activities 9. To publish and present findings from the CRIC Study 10. To promote and support the conduct of ancillary studies in CRIC, including collaboration with the broader nephrology research community.

Public Health Relevance

The CRIC study is designed to study the reasons why kidney disease progresses over time, and to identify factors that contribute to development of heart disease. Over the last 10 years, this study has established an impressive infrastructure;we now propose to extend this study for another 5 year period and also recruit a new cohort of patients with early kidney disease. This will help advance our understanding of early kidney disease particularly in older patients.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01DK061021-14
Application #
8733651
Study Section
Special Emphasis Panel (ZDK1-GRB-N (M1))
Program Officer
Kusek, John W
Project Start
2001-09-28
Project End
2018-04-30
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
14
Fiscal Year
2014
Total Cost
$850,000
Indirect Cost
$311,218
Name
Case Western Reserve University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
077758407
City
Cleveland
State
OH
Country
United States
Zip Code
44106
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Hsu, Chi-Yuan; Xie, Dawei; Waikar, Sushrut S et al. (2017) Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression. Kidney Int 91:196-203
Scialla, Julia J; Asplin, John; Dobre, Mirela et al. (2017) Higher net acid excretion is associated with a lower risk of kidney disease progression in patients with diabetes. Kidney Int 91:204-215
Grams, Morgan E; Yang, Wei; Rebholz, Casey M et al. (2017) Risks of Adverse Events in Advanced CKD: The Chronic Renal Insufficiency Cohort (CRIC) Study. Am J Kidney Dis 70:337-346
Mehta, Rupal; Cai, Xuan; Hodakowski, Alexander et al. (2017) Fibroblast Growth Factor 23 and Anemia in the Chronic Renal Insufficiency Cohort Study. Clin J Am Soc Nephrol 12:1795-1803
Xie, Dawei; Yang, Wei; Jepson, Christopher et al. (2017) Statistical Methods for Modeling Time-Updated Exposures in Cohort Studies of Chronic Kidney Disease. Clin J Am Soc Nephrol 12:1892-1899
Roy, Jason; Shou, Haochang; Xie, Dawei et al. (2017) Statistical Methods for Cohort Studies of CKD: Prediction Modeling. Clin J Am Soc Nephrol 12:1010-1017
Zhan, Min; St Peter, Wendy L; Doerfler, Rebecca M et al. (2017) Patterns of NSAIDs Use and Their Association with Other Analgesic Use in CKD. Clin J Am Soc Nephrol 12:1778-1786
Snitker, Soren; Doerfler, Rebecca M; Soliman, Elsayed Z et al. (2017) Association of QT-Prolonging Medication Use in CKD with Electrocardiographic Manifestations. Clin J Am Soc Nephrol :

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