American Indian chronic Renal insufficiency cohort study (AI-CRIC study)

Chronic kidney disease (CKD) is an increasing epidemic globally that is associated with adverse health outcomes including end stage kidney disease (ESKD), cardiovascular disease (CVD), and death. American Indians (AIs) have a higher prevalence of CKD than most other racial/ethnic groups, due in part...

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Published inBMC nephrology Vol. 21; no. 1; pp. 291 - 11
Main Authors Unruh, Mark L, Arzhan, Soraya, Feldman, Harold I, Looker, Helen C, Nelson, Robert G, Faber, Thomas, Johnson, David, Son-Stone, Linda, Pankratz, Vernon S, Myaskovsky, Larissa, Shah, Vallabh O
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 22.07.2020
BioMed Central
BMC
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Summary:Chronic kidney disease (CKD) is an increasing epidemic globally that is associated with adverse health outcomes including end stage kidney disease (ESKD), cardiovascular disease (CVD), and death. American Indians (AIs) have a higher prevalence of CKD than most other racial/ethnic groups, due in part to a high prevalence of type 2 diabetes. Other genetic and environmental factors not yet identified may also contribute to the disproportionate burden of CKD in AIs. We will establish 3 clinical centers to recruit AIs from the Southwest United States (US) to expand the Chronic Renal Insufficiency Cohort (CRIC) study. We will follow the current CRIC protocol for kidney and cardiovascular measures and outcomes, which include ambulatory monitoring of kidney function and the use of mobile health technologies for CVD sub-phenotyping, and compare the outcomes in AIs with those in other racial/ethnic groups in CRIC. AI-CRIC will identify the role of various risk factors for rapid loss of kidney function among AIs of the Southwest US. In addition, to better understand the natural history of CKD and CVD in this high-risk population, we will identify unique risk factors for CKD and CVD progression in AIs. We will also compare event rates and risk factors for kidney and cardiovascular events in AIs with the other populations represented in CRIC.
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ISSN:1471-2369
1471-2369
DOI:10.1186/s12882-020-01954-y