Low Utilization of Beta-Blockers Among Medicare Beneficiaries Hospitalized for Heart Failure With Reduced Ejection Fraction.


Journal

Journal of cardiac failure
ISSN: 1532-8414
Titre abrégé: J Card Fail
Pays: United States
ID NLM: 9442138

Informations de publication

Date de publication:
May 2019
Historique:
received: 07 02 2018
revised: 05 09 2018
accepted: 12 10 2018
pubmed: 20 10 2018
medline: 22 4 2020
entrez: 20 10 2018
Statut: ppublish

Résumé

The evidence-based beta-blockers carvedilol, bisoprolol, and metoprolol succinate reduce mortality and hospitalizations among patients with heart failure with reduced ejection fraction (HFrEF). Use of these medications is not well described in the general population of patients with HFrEF, especially among patients with potential contraindications. Our goal was to describe the patterns of prescription fills for carvedilol, bisoprolol, and metoprolol succinate among Medicare beneficiaries hospitalized for HFrEF, as well as to estimate the associations between specific contraindications for beta-blocker therapy and those patterns. With the use of the cohort of 15,205 Medicare beneficiaries hospitalized for HFrEF from 2007 to 2013 in the 5% Medicare random sample, we described prescription fills (30 days after discharge) and dosage patterns (1 year after discharge) for beta-blockers. By means of of Fine and Gray competing risk models, we estimated the associations between potential contraindications (hypotension, chronic obstructive pulmonary disease [COPD], asthma, and syncope) and prescription fill and dosing patterns while adjusting for demographics, comorbidities, and health care utilization. For beneficiaries who did not die or readmitted to the hospital, 38% of hospitalizations were followed by a prescription fill for an evidence-based beta-blocker within 30 days, 12% were followed by prescription fills for at least 50% of the recommended dose of an evidence-based beta-blocker within 1 year, and 9% were followed by a prescription fill for an up-titrated dose of an evidence-based beta-blocker within 1 year. The prevalence of the contraindications were 21% for hypotension, 48% for COPD, 15% for asthma, and 12% for syncope. Among beneficiaries who did not fill a prescription for an evidence-based beta-blocker within 30 days, 67% had at least 1 of these contraindications. Hypotension, COPD, and syncope were each associated with a ∼10% lower risk of filling a prescription for an evidence-based beta-blocker. Prescription fill and up-titration rates for evidence-based beta-blockers are low among Medicare beneficiaries with HFrEF, but contraindications explain only a minor part of these low rates.

Sections du résumé

BACKGROUND BACKGROUND
The evidence-based beta-blockers carvedilol, bisoprolol, and metoprolol succinate reduce mortality and hospitalizations among patients with heart failure with reduced ejection fraction (HFrEF). Use of these medications is not well described in the general population of patients with HFrEF, especially among patients with potential contraindications.
OBJECTIVES OBJECTIVE
Our goal was to describe the patterns of prescription fills for carvedilol, bisoprolol, and metoprolol succinate among Medicare beneficiaries hospitalized for HFrEF, as well as to estimate the associations between specific contraindications for beta-blocker therapy and those patterns.
METHODS AND RESULTS RESULTS
With the use of the cohort of 15,205 Medicare beneficiaries hospitalized for HFrEF from 2007 to 2013 in the 5% Medicare random sample, we described prescription fills (30 days after discharge) and dosage patterns (1 year after discharge) for beta-blockers. By means of of Fine and Gray competing risk models, we estimated the associations between potential contraindications (hypotension, chronic obstructive pulmonary disease [COPD], asthma, and syncope) and prescription fill and dosing patterns while adjusting for demographics, comorbidities, and health care utilization. For beneficiaries who did not die or readmitted to the hospital, 38% of hospitalizations were followed by a prescription fill for an evidence-based beta-blocker within 30 days, 12% were followed by prescription fills for at least 50% of the recommended dose of an evidence-based beta-blocker within 1 year, and 9% were followed by a prescription fill for an up-titrated dose of an evidence-based beta-blocker within 1 year. The prevalence of the contraindications were 21% for hypotension, 48% for COPD, 15% for asthma, and 12% for syncope. Among beneficiaries who did not fill a prescription for an evidence-based beta-blocker within 30 days, 67% had at least 1 of these contraindications. Hypotension, COPD, and syncope were each associated with a ∼10% lower risk of filling a prescription for an evidence-based beta-blocker.
CONCLUSIONS CONCLUSIONS
Prescription fill and up-titration rates for evidence-based beta-blockers are low among Medicare beneficiaries with HFrEF, but contraindications explain only a minor part of these low rates.

Identifiants

pubmed: 30339796
pii: S1071-9164(18)31107-2
doi: 10.1016/j.cardfail.2018.10.005
pmc: PMC6467695
mid: NIHMS1512740
pii:
doi:

Substances chimiques

Adrenergic beta-1 Receptor Antagonists 0
Carvedilol 0K47UL67F2
Metoprolol GEB06NHM23
Bisoprolol Y41JS2NL6U

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

343-351

Subventions

Organisme : NHLBI NIH HHS
ID : T32 HL007457
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

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Auteurs

Matthew Shane Loop (MS)

Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina. Electronic address: matthew_loop@unc.edu.

Melissa K van Dyke (MK)

Center for Observational Research, Amgen, Thousand Oaks, California.

Ligong Chen (L)

Department of Epidemiology, University of Alabama, Birmingham, Alabama.

Monika M Safford (MM)

Division of General Internal Medicine, Weill Cornell Medical College, New York, New York.

Meredith L Kilgore (ML)

Department of Health Care Organization and Policy, University of Alabama, Birmingham, Alabama.

Todd M Brown (TM)

Division of Cardiovascular Disease, University of Alabama, Birmingham, Alabama.

Raegan W Durant (RW)

Division of Preventive Medicine, University of Alabama, Birmingham, Alabama.

Emily B Levitan (EB)

Department of Epidemiology, University of Alabama, Birmingham, Alabama.

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Classifications MeSH