The CRIC Study includes a racially and ethnically diverse group of adult patients with mild to moderate chronic kidney disease.

Cohorts

CRIC

The CRIC Study was initially designed to include a racially diverse group of adults aged 21 to 74 years with mild to moderate chronic kidney disease (CKD). Recruitment began in May 2003. By design, approximately half of those recruited had diabetes, half were women, and half were African American.

Beginning in October 2005, an additional set of 327 Hispanic participants were recruited through a supplemental effort at the CRIC Study’s University of Illinois at Chicago site bringing the total number of Hispanic CRIC participants to 496. All together, a total of 3939 individuals entered the study by August 2008 when initial recruitment ended. Throughout recruitment and subsequently, study participants complete annual in-person study visits.

CRIC reinitiated recruitment on July 1, 2013 to expand the CRIC cohort and enrolled an additional 1,560 new participants through August 2015. The eligible age range for these participants is 45 to 79 years to expand the focus on CKD in the elderly. This newly recruited group provides for a greater emphasis on early stages of CKD to advance the understanding of factors that contribute to the progression of CKD and promote the development of strategies to reduce the burden of kidney disease.

Beginning in August 2018, CRIC initiated recruitment of an additional set of 125 Hispanic participants through the renewal of the supplemental effort at the CRIC Study’s University of Illinois at Chicago which will bring the total number of Hispanic CRIC participants to 621. Follow-up of CRIC participants will continue at least until 2023.

Beginning in October 2020, CRIC initiated recruitment of an additional set of 500 American Indian participants through a supplemental effort at the University of New Mexico. Follow-up of CRIC participants will continue at least until 2024.

CRIC Scientific Discoveries

Chronic kidney disease is common in the US population, and we understand that it increases the risk of cardiovascular disease. However, risk scores have not been generated specifically for identifying CKD patients, who are most likely to develop heart disease. In this large-scale proteomics study, we measured nearly 5,000 proteins and used machine learning methods to generate and validate a 32-protein risk score. This score surpassed clinical risk models for predicting incident cardiovascular disease.
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CRIC Collaborations

The CRIC Scientific and Data Coordinating Center at Penn receives data and provides ongoing support for a number of Ancillary Studies approved by the CRIC Cohort utilizing both data collected about CRIC study participants as well as their biological samples.
Learn more about collaborating with CRIC >>
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