Literature DB >> 22441773

Renal dysfunction in patients with heart failure with preserved versus reduced ejection fraction: impact of the new Chronic Kidney Disease-Epidemiology Collaboration Group formula.

Finlay A McAlister1, Justin Ezekowitz, Luigi Tarantini, Iain Squire, Michel Komajda, Antoni Bayes-Genis, Israel Gotsman, Gillian Whalley, Nikki Earle, Katrina K Poppe, Robert N Doughty.   

Abstract

BACKGROUND: Prior studies in heart failure (HF) have used the Modification of Diet in Renal Disease (MDRD) equation to calculate estimated glomerular filtration rate (eGFR). The Chronic Kidney Disease-Epidemiology Collaboration Group (CKD-EPI) equation provides a more-accurate eGFR than the MDRD when compared against the radionuclide gold standard. The prevalence and prognostic import of renal dysfunction in HF if the CKD-EPI equation is used rather than the MDRD is uncertain. METHODS AND
RESULTS: We used individual patient data from 25 prospective studies to stratify patients with HF by eGFR using the CKD-EPI and the MDRD equations and examined survival across eGFR strata. In 20 754 patients (15 962 with HF with reduced ejection fraction [HF-REF] and 4792 with HF with preserved ejection fraction [HF-PEF]; mean age, 68 years; deaths per 1000 patient-years, 151; 95% CI, 146-155), 10 589 (51%) and 11 422 (55%) had an eGFR <60 mL/min using the MDRD and CKD-EPI equations, respectively. Use of the CKD-EPI equation resulted in 3760 (18%) patients being reclassified into different eGFR risk strata; 3089 (82%) were placed in a lower eGFR category and exhibited higher all-cause mortality rates (net reclassification improvement with CKD-EPI, 3.7%; 95% CI, 1.5%-5.9%). Reduced eGFR was a stronger predictor of all-cause mortality in HF-REF than in HF-PEF.
CONCLUSIONS: Use of the CKD-EPI rather than the MDRD equation to calculate eGFR leads to higher estimates of renal dysfunction in HF and a more-accurate categorization of mortality risk. Renal function is more closely related to outcomes in HF-REF than in HF-PEF.

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Year:  2012        PMID: 22441773     DOI: 10.1161/CIRCHEARTFAILURE.111.966242

Source DB:  PubMed          Journal:  Circ Heart Fail        ISSN: 1941-3289            Impact factor:   8.790


  46 in total

1.  A combined-biomarker approach to clinical phenotyping renal dysfunction in heart failure.

Authors:  Jeffrey M Testani; Kevin Damman; Meredith A Brisco; Susan Chen; Olga Laur; Alexander J Kula; W H Wilson Tang; Chirag Parikh
Journal:  J Card Fail       Date:  2014-08-23       Impact factor: 5.712

Review 2.  Circulating biomarkers in patients with heart failure and preserved ejection fraction.

Authors:  Eileen O'Meara; Simon de Denus; Jean-Lucien Rouleau; Akshay Desai
Journal:  Curr Heart Fail Rep       Date:  2013-12

Review 3.  The Basic Metabolic Profile in Heart Failure-Marker and Modifier.

Authors:  Ahmed Elfar; Kamalanathan K Sambandam
Journal:  Curr Heart Fail Rep       Date:  2017-08

Review 4.  [Cardio-renal axis : Relationship of heart failure and renal insufficiency as comorbidities].

Authors:  M Zeisberg; M J Koziolek
Journal:  Internist (Berl)       Date:  2018-05       Impact factor: 0.743

Review 5.  Cardiovascular disease in patients with chronic kidney disease.

Authors:  Turgay Saritas; Jürgen Floege
Journal:  Herz       Date:  2020-04       Impact factor: 1.443

Review 6.  Medical Management of Heart Failure With Reduced Ejection Fraction in Patients With Advanced Renal Disease.

Authors:  Aaron M Hein; Julia J Scialla; Daniel Edmonston; Lauren B Cooper; Adam D DeVore; Robert J Mentz
Journal:  JACC Heart Fail       Date:  2019-05       Impact factor: 12.035

7.  The risk of death associated with proteinuria in heart failure is restricted to patients with an elevated blood urea nitrogen to creatinine ratio.

Authors:  Meredith A Brisco; Michael R Zile; Jozine M Ter Maaten; Jennifer S Hanberg; F Perry Wilson; Chirag Parikh; Jeffrey M Testani
Journal:  Int J Cardiol       Date:  2016-04-14       Impact factor: 4.164

Review 8.  Heart failure with preserved ejection fraction: a nephrologist-directed primer.

Authors:  Baris Afsar; Patrick Rossignol; Loek van Heerebeek; Walter J Paulus; Kevin Damman; Stephane Heymans; Vanessa van Empel; Alan Sag; Alan Maisel; Mehmet Kanbay
Journal:  Heart Fail Rev       Date:  2017-11       Impact factor: 4.214

9.  Clinical implications of the CKD epidemiology collaboration (CKD-EPI) equation compared with the modification of diet in renal disease (MDRD) study equation for the estimation of renal dysfunction in patients with cardiovascular disease.

Authors:  Luigi Tarantini; Giulia Barbati; Giovanni Cioffi; Finlay Aleck McAlister; Justin Adrian Ezekowitz; Carmine Mazzone; Giorgio Faganello; Giulia Russo; Enrico Franceschini Grisolia; Andrea Di Lenarda
Journal:  Intern Emerg Med       Date:  2015-06-30       Impact factor: 3.397

10.  eGFR and Outcomes in Patients with Acute Decompensated Heart Failure with or without Elevated BUN.

Authors:  Katsuya Kajimoto; Naoki Sato; Teruo Takano
Journal:  Clin J Am Soc Nephrol       Date:  2016-01-14       Impact factor: 8.237

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