Abstract 4146297: Cardiovascular Risk Prediction with the Kidney Failure Risk Equation Among Patients with Chronic Kidney Disease: Insights from CRIC

Background: The Kidney Failure Risk Equation (KFRE) is an established calculator to predict the risk of kidney failure among patients with chronic kidney disease (CKD). Patients with CKD are more likely to die from cardiovascular (CV) causes than from renal causes, and more likely to experience a non-fatal CV event than to progress to kidney failure. The CV predictive ability of the KFRE among patients with CKD is unclear. Methods: We investigated the association of the 8-variable (age, sex, urine albumin-creatinine ratio [UACR], estimated glomerular filtration rate [eGFR], serum albumin, serum phosphate, serum bicarbonate, serum calcium) 5-year KFRE with CV disease (CVD) and death among 3,034 patients with CKD (eGFR 15-60 mL/min/1.73m 2 ) in the Chronic Renal Insufficiency Cohort (CRIC). KFRE was modeled continuously and by quartiles. CVD was defined as the composite of heart failure hospitalization, myocardial infarction, or stroke. All-cause mortality was a key secondary endpoint. Results: Mean eGFR was 39 ±11 mL/min/1.73m 2 ; median UACR was 89 mg/g [25-75th percentile 13, 619]. Median KFRE 5-year score was 0.7% [25-75th percentile 0.2, 2.9]. Five-year event rates for the primary endpoint for the lowest to highest quartiles of KFRE were 11.6%, 17.7%, 25%, and 31% (P<0.001). KFRE score (per 1-unit higher log-transformed KFRE score) was associated with a 27% higher risk of CVD (HR 1.27; 95%CI 1.22, 1.33), and a 24% higher risk of death (HR 1.24; 95%CI 1.19, 1.30). When analyzed by quartiles, higher KFRE was associated with more than a 3-fold higher risk of CVD (HR Q4:Q1 3.31; 95%CI 2.67, 4.10), and more than a 3-fold higher risk of death (HR Q4:Q1 3.28; 95%CI 2.62, 4.11). Conclusions: Among participants of CRIC, a higher KFRE was associated with a higher risk of CVD and all-cause death. As patients with CKD are at higher risk of both adverse kidney and CV outcomes, this suggests that KFRE could be used as a broad and simple risk-stratification tool for patients with CKD.

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Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4146297
Primary Topic
Cardiovascular Health and Risk Factors
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article
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article

Abstract 4146297: Cardiovascular Risk Prediction with the Kidney Failure Risk Equation Among Patients with Chronic Kidney Disease: Insights from CRIC

F. Perry Wilson, Brendon Lange Neuen, Simon Correa, Finnian R. Mc Causland et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4146297: Cardiovascular Risk Prediction with the Kidney Failure Risk Equation Among Patients with Chronic Kidney Disease: Insights from CRIC

F. Perry Wilson, Brendon Lange Neuen, Simon Correa, Finnian R. Mc Causland, Iris E. Beldhuis, Muthiah Vaduganathan
article en

Abstract

Background: The Kidney Failure Risk Equation (KFRE) is an established calculator to predict the risk of kidney failure among patients with chronic kidney disease (CKD). Patients with CKD are more likely to die from cardiovascular (CV) causes than from renal causes, and more likely to experience a non-fatal CV event than to progress to kidney failure. The CV predictive ability of the KFRE among patients with CKD is unclear. Methods: We investigated the association of the 8-variable (age, sex, urine albumin-creatinine ratio [UACR], estimated glomerular filtration rate [eGFR], serum albumin, serum phosphate, serum bicarbonate, serum calcium) 5-year KFRE with CV disease (CVD) and death among 3,034 patients with CKD (eGFR 15-60 mL/min/1.73m 2 ) in the Chronic Renal Insufficiency Cohort (CRIC). KFRE was modeled continuously and by quartiles. CVD was defined as the composite of heart failure hospitalization, myocardial infarction, or stroke. All-cause mortality was a key secondary endpoint. Results: Mean eGFR was 39 ±11 mL/min/1.73m 2 ; median UACR was 89 mg/g [25-75th percentile 13, 619]. Median KFRE 5-year score was 0.7% [25-75th percentile 0.2, 2.9]. Five-year event rates for the primary endpoint for the lowest to highest quartiles of KFRE were 11.6%, 17.7%, 25%, and 31% (P<0.001). KFRE score (per 1-unit higher log-transformed KFRE score) was associated with a 27% higher risk of CVD (HR 1.27; 95%CI 1.22, 1.33), and a 24% higher risk of death (HR 1.24; 95%CI 1.19, 1.30). When analyzed by quartiles, higher KFRE was associated with more than a 3-fold higher risk of CVD (HR Q4:Q1 3.31; 95%CI 2.67, 4.10), and more than a 3-fold higher risk of death (HR Q4:Q1 3.28; 95%CI 2.62, 4.11). Conclusions: Among participants of CRIC, a higher KFRE was associated with a higher risk of CVD and all-cause death. As patients with CKD are at higher risk of both adverse kidney and CV outcomes, this suggests that KFRE could be used as a broad and simple risk-stratification tool for patients with CKD.

CirculationVol. 150(Suppl_1)
Brigham and Women's Hospital (US), Yale University (US), Dialyse Centrum Groningen (NL), The George Institute for Global Health (AU)
Good health and well-being
Openalex Percentile: Top 61%
Cardiovascular Health and Risk Factors
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