ArticleClinical kidney journal2024
Comparison of three creatinine-based equations to predict adverse outcome in a cardiovascular high-risk cohort: an investigation using the SPRINT research materials.
Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Impact of differences in kidney function estimation by creatinine compared to cystatin C on clinical outcomes in patients with atrial fibrillation.European heart journal open · 2026Article
- Impact of Adopting the Race/Ethnicity-Free 2021 CKD-EPI Equation on Cardiovascular Risk Stratification in a Multiethnic European Population: Results from the HELIUS Study.Global heart · 2026Article
- Novel eGFR equations and cardiovascular outcomes in a multiethnic Asian cohort.Clinical kidney journal · 2025Article
- Prevalence of impaired kidney function & its association with diabetes & hypertension in India: The ICMR-INDIAB study (ICMR-INDIAB-22).The Indian journal of medical research · 2025Article
- Distinct Urinary Proteome Changes Across Estimated Glomerular Filtration Rate Stages in a Cohort of Black South Africans.International journal of molecular sciences · 2025Article
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Authors and funding
10 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Novel creatinine-based equations have recently been proposed but their predictive performance for cardiovascular outcomes in participants at high cardiovascular risk in comparison to the established CKD-EPI 2009 equation is unknown. Method: In 9361 participants from the United States included in the randomized controlled SPRINT trial, we calculated baseline estimated glomerular filtration rate (eGFR) using the CKD-EPI 2009, CKD-EPI 2021, and EKFC equations and compared their predictive value of cardiovascular events. The statistical metric used is the net reclassification improvement (NRI) presented separately for those with and those without events. Results: During a mean follow-up of 3.1 ± 0.9 years, the primary endpoint occurred in 559 participants (6.0%). When using the CKD-EPI 2009, the CKD-EPI 2021, and the EKFC equations, the prevalence of CKD (eGFR <60 ml/min/1.73 m Conclusion: Substituting the CKD-EPI 2009 with the CKD-EPI 2021 or the EKFC equation for calculation of eGFR in participants with high cardiovascular risk without diabetes changed the prevalence of CKD but was not associated with improved risk prediction of cardiovascular events for both those with and without the event.
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