Literature DB >> 30240686

Spironolactone and Outcomes in Older Patients with Heart Failure and Reduced Ejection Fraction.

Essraa Bayoumi1, Phillip H Lam2, Daniel J Dooley1, Steven Singh3, Charles Faselis4, Charity J Morgan5, Samir Patel4, Helen M Sheriff4, Selma F Mohammed6, Carlos E Palant7, Bertram Pitt8, Gregg C Fonarow9, Ali Ahmed10.   

Abstract

BACKGROUND: The efficacy of mineralocorticoid receptor antagonists or aldosterone antagonists in heart failure with reduced ejection fraction (HFrEF) is well known. Less is known about their effectiveness in real-world older patients with HFrEF.
METHODS: Of the 8206 patients with heart failure and ejection fraction ≤35% without prior spironolactone use in the Medicare-linked OPTIMIZE-HF registry, 6986 were eligible for spironolactone therapy based on serum creatinine criteria (men ≤2.5 mg/dL, women ≤2.0 mg/dL) and 865 received a discharge prescription for spironolactone. Using propensity scores for spironolactone use, we assembled a matched cohort of 1724 (862 pairs) patients receiving and not receiving spironolactone, balanced on 58 baseline characteristics (Creatinine Cohort: mean age, 75 years, 42% women, 17% African American). We repeated the above process to assemble a secondary matched cohort of 1638 (819 pairs) patients with estimated glomerular filtration rate (eGFR) ≥30 mL/min/1.73 m2 (eGFR Cohort: mean age, 75 years, 42% women, 17% African American).
RESULTS: In the matched Creatinine Cohort, spironolactone-associated hazard ratios (95% confidence intervals) for all-cause mortality, heart failure readmission, and combined endpoint of heart failure readmission or all-cause mortality were 0.92 (0.81-1.03), 0.87 (0.77-0.99), and 0.87 (0.79-0.97), respectively. Respective hazard ratios (95% confidence intervals) in the matched eGFR Cohort were 0.87 (0.77-0.98), 0.92 (0.80-1.05), and 0.91 (0.82-1.02).
CONCLUSIONS: These findings provide evidence of consistent, albeit modest, clinical effectiveness of spironolactone in older patients with HFrEF regardless of renal eligibility criteria used. Additional strategies are needed to improve the effectiveness of aldosterone antagonists in clinical practice.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  Ejection fraction; Heart failure; Mortality; Readmission; Spironolactone

Mesh:

Substances:

Year:  2018        PMID: 30240686      PMCID: PMC6511886          DOI: 10.1016/j.amjmed.2018.09.011

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  37 in total

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3.  The adequacy of laboratory monitoring in patients treated with spironolactone for congestive heart failure.

Authors:  Keyur B Shah; Krishnamurti Rao; Robert Sawyer; Stephen S Gottlieb
Journal:  J Am Coll Cardiol       Date:  2005-09-06       Impact factor: 24.094

4.  The effect of spironolactone on morbidity and mortality in patients with severe heart failure. Randomized Aldactone Evaluation Study Investigators.

Authors:  B Pitt; F Zannad; W J Remme; R Cody; A Castaigne; A Perez; J Palensky; J Wittes
Journal:  N Engl J Med       Date:  1999-09-02       Impact factor: 91.245

5.  Renin-angiotensin inhibition in diastolic heart failure and chronic kidney disease.

Authors:  Ali Ahmed; Michael W Rich; Michael Zile; Paul W Sanders; Kanan Patel; Yan Zhang; Inmaculada B Aban; Thomas E Love; Gregg C Fonarow; Wilbert S Aronow; Richard M Allman
Journal:  Am J Med       Date:  2013-02       Impact factor: 4.965

6.  Associations between aldosterone antagonist therapy and risks of mortality and readmission among patients with heart failure and reduced ejection fraction.

Authors:  Adrian F Hernandez; Xiaojuan Mi; Bradley G Hammill; Stephen C Hammill; Paul A Heidenreich; Frederick A Masoudi; Laura G Qualls; Eric D Peterson; Gregg C Fonarow; Lesley H Curtis
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8.  Incidence, predictors and clinical management of hyperkalaemia in new users of mineralocorticoid receptor antagonists.

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Journal:  Eur J Heart Fail       Date:  2018-04-18       Impact factor: 15.534

Review 9.  Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.

Authors:  Peter C Austin; Elizabeth A Stuart
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Authors:  Bertram Pitt; George L Bakris; David A Bushinsky; Dahlia Garza; Martha R Mayo; Yuri Stasiv; Heidi Christ-Schmidt; Lance Berman; Matthew R Weir
Journal:  Eur J Heart Fail       Date:  2015-10-12       Impact factor: 15.534

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3.  Systolic Blood Pressure and Outcomes in Older Patients with HFpEF and Hypertension.

Authors:  Charles Faselis; Phillip H Lam; Michael R Zile; Poonam Bhyan; Apostolos Tsimploulis; Cherinne Arundel; Samir Patel; Peter Kokkinos; Prakash Deedwania; Deepak L Bhatt; Qing Zeng-Trietler; Charity J Morgan; Wilbert S Aronow; Richard M Allman; Gregg C Fonarow; Ali Ahmed
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