Literature DB >> 30025570

Medical Therapy for Heart Failure With Reduced Ejection Fraction: The CHAMP-HF Registry.

Stephen J Greene1, Javed Butler2, Nancy M Albert3, Adam D DeVore1, Puza P Sharma4, Carol I Duffy4, C Larry Hill5, Kevin McCague4, Xiaojuan Mi5, J Herbert Patterson6, John A Spertus7, Laine Thomas5, Fredonia B Williams8, Adrian F Hernandez1, Gregg C Fonarow9.   

Abstract

BACKGROUND: Guidelines strongly recommend patients with heart failure with reduced ejection fraction (HFrEF) be treated with multiple medications proven to improve clinical outcomes, as tolerated. The degree to which gaps in medication use and dosing persist in contemporary outpatient practice is unclear.
OBJECTIVES: This study sought to characterize patterns and factors associated with use and dose of HFrEF medications in current practice.
METHODS: The CHAMP-HF (Change the Management of Patients with Heart Failure) registry included outpatients in the United States with chronic HFrEF receiving at least 1 oral medication for management of HF. Patients were characterized by baseline use and dose of angiotensin-converting enzyme inhibitor (ACEI)/angiotensin II receptor blocker (ARB), angiotensin receptor neprilysin inhibitor (ARNI), beta-blocker, and mineralocorticoid receptor antagonist (MRA). Patient-level factors associated with medication use were examined.
RESULTS: Overall, 3,518 patients from 150 primary care and cardiology practices were included. Mean age was 66 ± 13 years, 29% were female, and mean EF was 29 ± 8%. Among eligible patients, 27%, 33%, and 67% were not prescribed ACEI/ARB/ARNI, beta-blocker, and MRA therapy, respectively. When medications were prescribed, few patients were receiving target doses of ACEI/ARB (17%), ARNI (14%), and beta-blocker (28%), whereas most patients were receiving target doses of MRA therapy (77%). Among patients eligible for all classes of medication, 1% were simultaneously receiving target doses of ACE/ARB/ARNI, beta-blocker, and MRA. In adjusted models, older age, lower blood pressure, more severe functional class, renal insufficiency, and recent HF hospitalization generally favored lower medication utilization or dose. Social and economic characteristics were not independently associated with medication use or dose.
CONCLUSIONS: In this contemporary outpatient HFrEF registry, significant gaps in use and dose of guideline-directed medical therapy remain. Multiple clinical factors were associated with medication use and dose prescribed. Strategies to improve guideline-directed use of HFrEF medications remain urgently needed, and these findings may inform targeted approaches to optimize outpatient medical therapy.
Copyright © 2018 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dose; medication; reduced ejection fraction; registry

Mesh:

Substances:

Year:  2018        PMID: 30025570     DOI: 10.1016/j.jacc.2018.04.070

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  156 in total

1.  Spironolactone in Acute Heart Failure Patients With Renal Dysfunction and Risk Factors for Diuretic Resistance: From the ATHENA-HF Trial.

Authors:  Stephen J Greene; G Michael Felker; Anna Giczewska; Andreas P Kalogeropoulos; Andrew P Ambrosy; Hrishikesh Chakraborty; Adam D DeVore; Marat Fudim; Steven E McNulty; Robert J Mentz; Muthiah Vaduganathan; Adrian F Hernandez; Javed Butler
Journal:  Can J Cardiol       Date:  2019-02-07       Impact factor: 5.223

2.  Association of Changes in Heart Failure Treatment With Patients' Health Status: Real-World Evidence From CHAMP-HF.

Authors:  Merrill Thomas; Yevgeniy Khariton; Gregg C Fonarow; Suzanne V Arnold; Larry Hill; Michael E Nassif; Puza P Sharma; Javed Butler; Laine Thomas; Carol I Duffy; Adam D DeVore; Adrian Hernandez; Nancy M Albert; J Herbert Patterson; Fredonia B Williams; Kevin McCague; John A Spertus
Journal:  JACC Heart Fail       Date:  2019-06-05       Impact factor: 12.035

Review 3.  Update on the Impact of Comorbidities on the Efficacy and Safety of Heart Failure Medications.

Authors:  Christine Chow; Robert J Mentz; Stephen J Greene
Journal:  Curr Heart Fail Rep       Date:  2021-04-09

Review 4.  Improving Provider Adherence to Guideline Recommendations in Heart Failure.

Authors:  Katherine E Di Palo; Ileana L Piña; Hector O Ventura
Journal:  Curr Heart Fail Rep       Date:  2018-12

5.  Target Doses of Heart Failure Medical Therapy and Blood Pressure: Insights From the CHAMP-HF Registry.

Authors:  Poghni A Peri-Okonny; Xiaojuan Mi; Yevgeniy Khariton; Krishna K Patel; Laine Thomas; Gregg C Fonarow; Puza P Sharma; Carol I Duffy; Nancy M Albert; Javed Butler; Adrian F Hernandez; Kevin McCague; Fredonia B Williams; Adam D DeVore; J Herbert Patterson; John A Spertus
Journal:  JACC Heart Fail       Date:  2019-02-06       Impact factor: 12.035

6.  Guideline-led prescribing to ambulatory heart failure patients in a cardiology outpatient service.

Authors:  Seif El Hadidi; Carl Vaughan; David Kerins; Stephen Byrne; Ebtissam Darweesh; Margaret Bermingham
Journal:  Int J Clin Pharm       Date:  2021-01-07

Review 7.  Systematizing Heart Failure Population Health.

Authors:  Prateeti Khazanie; Larry A Allen
Journal:  Heart Fail Clin       Date:  2020-07-21       Impact factor: 3.179

Review 8.  Targeting Natriuretic Peptide Levels in Heart Failure with Therapy: Does "X" Really Mark the Spot?

Authors:  Juliette K Logan; Robert J Mentz
Journal:  Curr Heart Fail Rep       Date:  2019-12

9.  Trends in prevalence of comorbidities in heart failure clinical trials.

Authors:  Muhammad Shahzeb Khan; Ayman Samman Tahhan; Muthiah Vaduganathan; Stephen J Greene; Alaaeddin Alrohaibani; Stefan D Anker; Orly Vardeny; Gregg C Fonarow; Javed Butler
Journal:  Eur J Heart Fail       Date:  2020-04-15       Impact factor: 15.534

Review 10.  Cardiac Rehabilitation to Optimize Medication Regimens in Heart Failure.

Authors:  Parag Goyal; Eiran Z Gorodeski; Zachary A Marcum; Daniel E Forman
Journal:  Clin Geriatr Med       Date:  2019-06-21       Impact factor: 3.076

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