Abstract
Impaired renal function is one of the most important prognostic markers in both acute and chronic systolic heart failure (HF). Glomerular filtration rate (GFR) is considered the best overall index of kidney function. The Modification of Diet in Renal Disease (MDRD) equation has gained widespread acceptance. Recently, a new Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation was developed for estimating GFR to increase accuracy, especially in early stage CKD patients [ [1] Levey A.S. Stevens L.A. Schmid C.H. et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009; 150: 604-612 Crossref PubMed Scopus (15295) Google Scholar ]. A validation study showed that this new equation could reclassify more accurately and have less bias between estimated and measured GFR [ [2] Matsushita K. Mahmoodi B.K. Woodward M. et al. Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate. JAMA. 2012; 307: 1941-1951 Crossref PubMed Scopus (718) Google Scholar ]. Therefore, we hypothesized that the estimation of GFR by the CKD-EPI equation would have a better prognostic power in predicting clinical outcomes than the MDRD equation in patients with acute heart failure (AHF).
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