biostudies-literatureMehta RNCATS NIH HHSNIDDK NIH HHSNCRR NIH HHSNHLBI NIH HHSAmerican Heart Association IncNIHNIGMS NIH HHS540-550https://www.ebi.ac.uk/biostudies/studies/S-EPMC9186525biostudies-literatureUnknown28(4)<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 of cardiac failureTen-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.PMC9186525P20 GM109036U01 DK061021U01 DK060990K24 HL150235U01 DK061022UL1 TR001422UL1 TR001420U01 DK061028UL1 RR029879UL1 TR000433UL1 TR00043975N92020D00007M01 RR016500K23 HL150236R01 DK103612U01 DK06090275N92020D00001R01 HL14184675N92020D0000275N92020D0000575N92020D00006R01 DK110087UL1 RR02413175N92020D0000375N92020D00004UL1 TR000040HHSN268201500003CUL1 TR000003U01 DK060963UL1 TR000424U01 DK060984U01 DK060980KL2 TR001424P30 DK114857K23 DK120811HHSN268201500003IKhan SSMehta RNing HIsakova TRahman MSrivastava ATownsend RSeliger SMichos EDLash JPCohen JBansal NDobre MLloyd-Jones DMfalseTen-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.<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-2022-01-01T00:00:00Z2022 Apr2025-04-19T00:01:12.177Z2025-04-07T11:16:40.162ZS-EPMC91865253476307810.1016/j.cardfail.2021.10.007