{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Mehta R"],"funding":["NCATS NIH HHS","NIDDK NIH HHS","NCRR NIH HHS","NHLBI NIH HHS","American Heart Association Inc","NIH","NIGMS NIH HHS"],"pagination":["540-550"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9186525"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["28(4)"],"pubmed_abstract":["<h4>Background</h4>Heart failure (HF) is a leading contributor to cardiovascular morbidity and mortality in the population with chronic kidney disease (CKD). HF risk prediction tools that use readily available clinical parameters to risk-stratify individuals with CKD are needed.<h4>Methods</h4>We included Black and White participants aged 30-79 years with CKD stages 2-4 who were enrolled in the Chronic Renal Insufficiency Cohort (CRIC) study and were without self-reported cardiovascular disease. We assessed model performance of the Pooled Cohort Equations to Prevent Heart Failure (PCP-HF) to predict incident hospitalizations due to HF and refit the PCP-HF in the population with CKD by using CRIC data-derived coefficients and survival from CRIC study participants in the CKD population (PCP-"],"journal":["Journal of cardiac failure"],"pubmed_title":["Ten-Year Risk-Prediction Equations for Incident Heart Failure Hospitalizations in Chronic Kidney Disease: Findings from the Chronic Renal Insufficiency Cohort Study and the Multi-Ethnic Study of Atherosclerosis."],"pmcid":["PMC9186525"],"funding_grant_id":["P20 GM109036","U01 DK061021","U01 DK060990","K24 HL150235","U01 DK061022","UL1 TR001422","UL1 TR001420","U01 DK061028","UL1 RR029879","UL1 TR000433","UL1 TR000439","75N92020D00007","M01 RR016500","K23 HL150236","R01 DK103612","U01 DK060902","75N92020D00001","R01 HL141846","75N92020D00002","75N92020D00005","75N92020D00006","R01 DK110087","UL1 RR024131","75N92020D00003","75N92020D00004","UL1 TR000040","HHSN268201500003C","UL1 TR000003","U01 DK060963","UL1 TR000424","U01 DK060984","U01 DK060980","KL2 TR001424","P30 DK114857","K23 DK120811","HHSN268201500003I"],"pubmed_authors":["Khan SS","Mehta R","Ning H","Isakova T","Rahman M","Srivastava A","Townsend R","Seliger S","Michos ED","Lash JP","Cohen J","Bansal N","Dobre M","Lloyd-Jones DM"],"additional_accession":[]},"is_claimable":false,"name":"Ten-Year Risk-Prediction Equations for Incident Heart Failure Hospitalizations in Chronic Kidney Disease: Findings from the Chronic Renal Insufficiency Cohort Study and the Multi-Ethnic Study of Atherosclerosis.","description":"<h4>Background</h4>Heart failure (HF) is a leading contributor to cardiovascular morbidity and mortality in the population with chronic kidney disease (CKD). HF risk prediction tools that use readily available clinical parameters to risk-stratify individuals with CKD are needed.<h4>Methods</h4>We included Black and White participants aged 30-79 years with CKD stages 2-4 who were enrolled in the Chronic Renal Insufficiency Cohort (CRIC) study and were without self-reported cardiovascular disease. We assessed model performance of the Pooled Cohort Equations to Prevent Heart Failure (PCP-HF) to predict incident hospitalizations due to HF and refit the PCP-HF in the population with CKD by using CRIC data-derived coefficients and survival from CRIC study participants in the CKD population (PCP-","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2025-04-19T00:01:12.177Z","creation":"2025-04-07T11:16:40.162Z"},"accession":"S-EPMC9186525","cross_references":{"pubmed":["34763078"],"doi":["10.1016/j.cardfail.2021.10.007"]}}