Literature DB >> 19398079

The influence of renal function on clinical outcome and response to beta-blockade in systolic heart failure: insights from Metoprolol CR/XL Randomized Intervention Trial in Chronic HF (MERIT-HF).

Jalal K Ghali1, John Wikstrand, Dirk J Van Veldhuisen, Björn Fagerberg, Sidney Goldstein, Ake Hjalmarson, Peter Johansson, John Kjekshus, Lis Ohlsson, Ola Samuelsson, Finn Waagstein, Hans Wedel.   

Abstract

BACKGROUND: Limited information is available on the risk and impact of renal dysfunction on the response to beta-blockade and mode of death in systolic heart failure (HF). METHODS AND
RESULTS: Renal function was estimated with glomerular filtration rate (eGFR) using the simplified Modification of Diet in Renal Disease (MDRD) equation. Patients from the Metoprolol CR/XL Controlled Randomized Intervention Trial in Chronic HF (MERIT-HF) were divided into 3 renal function subgroups (MDRD formula): eGFR(MDRD) > 60 (n = 2496), eGFR(MDRD) 45 to 60 (n = 976), and eGFR(MDRD) < 45 mL/min per 1.73 m(2) body surface area (n = 493). Hazard ratio (HR) was estimated with Cox proportional hazards models adjusted for prespecified risk factors. Placebo patients with eGFR < 45 had significantly higher risk than those with eGFR > 60: HR for all-cause mortality, 1.90 (95% confidence interval [CI], 1.28 to 2.81) comparing placebo patients with eGFR < 45 and eGFR > 60, and for the combined end point of all-cause mortality/hospitalization for worsening HF (time to first event): HR, 1.91 (95% CI, 1.44 to 2.53). No significant increase in risk with deceased renal function was observed for those randomized to metoprolol controlled release (CR)/extended release (XL) due to a highly significant decrease in risk on metoprolol CR/XL in those with eGFR < 45. For total mortality, metoprolol CR/XL vs placebo: HR, 0.41 (95% CI. 0.25 to 0.68; P < .001) in those with eGFR < 45 compared with HR, 0.71 (95% CI, 0.54 to 0.95; P < .021) for those with eGFR > 60; corresponding data for the combined end point was HR, 0.44 (95% CI, 0.31 to 0.63; P < .0001) and HR, 0.75 (0.62 to 0.92; P = .005, respectively; P = .095 for interaction by treatment for total mortality; P = .011 for combined end point). Metoprolol CR/XL was well tolerated in all 3 renal function subgroups.
CONCLUSIONS: Renal function as estimated by eGFR was a powerful predictor of death and hospitalizations from worsening HF. Metoprolol CR/XL was at least as effective in reducing death and hospitalizations for worsening HF in patients with eGFR < 45 as in those with eGFR > 60.

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Year:  2008        PMID: 19398079     DOI: 10.1016/j.cardfail.2008.11.003

Source DB:  PubMed          Journal:  J Card Fail        ISSN: 1071-9164            Impact factor:   5.712


  29 in total

Review 1.  Korean Guidelines for Diagnosis and Management of Chronic Heart Failure.

Authors:  Min-Seok Kim; Ju-Hee Lee; Eung Ju Kim; Dae-Gyun Park; Sung-Ji Park; Jin Joo Park; Mi-Seung Shin; Byung Su Yoo; Jong-Chan Youn; Sang Eun Lee; Sang Hyun Ihm; Se Yong Jang; Sang-Ho Jo; Jae Yeong Cho; Hyun-Jai Cho; Seonghoon Choi; Jin-Oh Choi; Seong Woo Han; Kyung Kuk Hwang; Eun Seok Jeon; Myeong-Chan Cho; Shung Chull Chae; Dong-Ju Choi
Journal:  Korean Circ J       Date:  2017-09-18       Impact factor: 3.243

Review 2.  Development and validation of algorithms for heart failure patient care: a Delphi study.

Authors:  Cynthia Priyadarshini Gopal; Asri Ranga; Kevin Louis Joseph; Balamurugan Tangiisuran
Journal:  Singapore Med J       Date:  2015-04       Impact factor: 1.858

Review 3.  The role of the kidney in acute and chronic heart failure.

Authors:  Gaetano Ruocco; Alberto Palazzuoli; Jozine M Ter Maaten
Journal:  Heart Fail Rev       Date:  2020-01       Impact factor: 4.214

4.  [Cardiovascular pharmacotherapy and coronary revascularization in end-stage renal failure].

Authors:  L Lauder; S Ewen; I E Emrich; M Böhm; F Mahfoud
Journal:  Herz       Date:  2019-11       Impact factor: 1.443

5.  Response to Sexton: Inhibiting the renin-angiotensin-aldosterone system in patients with heart failure and renal dysfunction: common sense or nonsense?

Authors:  Javed Butler; Michael M Givertz
Journal:  Circ Heart Fail       Date:  2014-05       Impact factor: 8.790

Review 6.  Pharmacologic management of chronic reno-cardiac syndrome.

Authors:  Nael Hawwa; Martin J Schreiber; W H Wilson Tang
Journal:  Curr Heart Fail Rep       Date:  2013-03

Review 7.  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

Review 8.  Comparative effectiveness research in heart failure therapies: women, elderly patients, and patients with kidney disease.

Authors:  Rashmee U Shah; Tara I Chang; Gregg C Fonarow
Journal:  Heart Fail Clin       Date:  2012-10-16       Impact factor: 3.179

9.  Effectiveness of β-blockers in heart failure with left ventricular systolic dysfunction and chronic kidney disease.

Authors:  Tara I Chang; Jingrong Yang; James V Freeman; Mark A Hlatky; Alan S Go
Journal:  J Card Fail       Date:  2013-03       Impact factor: 5.712

10.  Efficacy and safety of nebivolol in elderly heart failure patients with impaired renal function: insights from the SENIORS trial.

Authors:  Alain Cohen-Solal; Dipak Kotecha; Dirk J van Veldhuisen; Daphne Babalis; Michael Böhm; Andrew J Coats; Michael Roughton; Philip Poole-Wilson; Luigi Tavazzi; Marcus Flather
Journal:  Eur J Heart Fail       Date:  2009-08-01       Impact factor: 15.534

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