Contemporary outpatient management of patients with worsening heart failure with reduced ejection fraction: Rationale and design of the CHART-HF study.


Journal

American heart journal
ISSN: 1097-6744
Titre abrégé: Am Heart J
Pays: United States
ID NLM: 0370465

Informations de publication

Date de publication:
09 2022
Historique:
received: 11 02 2022
revised: 18 05 2022
accepted: 22 05 2022
pubmed: 1 6 2022
medline: 8 7 2022
entrez: 31 5 2022
Statut: ppublish

Résumé

Patients with heart failure with reduced ejection fraction (HFrEF) and worsening HF events (WHFE) represent a distinct subset of patients with a substantial comorbidity burden, greater potential for intolerance to medical therapy, and high risk of subsequent death, hospitalization and excessive healthcare costs. Although multiple therapies have been shown to be efficacious and safe in this high-risk population, there are limited real-world data regarding factors that impact clinical decision-making when initiating or modifying therapy. Likewise, prior analyses of US clinical practice support major gaps in medical therapy for HFrEF and few medication changes during longitudinal follow-up, yet granular data on reasons why clinicians do not initiate or up-titrate guideline-directed medication are lacking. We designed the CHART-HF study, an observational study of approximately 1,500 patients comparing patients with and without WHFE (WHFE defined as receipt of intravenous diuretics in the inpatient, outpatient, or emergency department setting) who had an index outpatient visit in the US between 2017 and 2019. Patient-level data on clinical characteristics, clinical outcomes, and therapy will be collected from 2 data sources: a single integrated health system, and a national panel of cardiologists. Furthermore, clinician-reported rationale for treatment decisions and the factors prioritized with selection and optimization of therapies in real-world practice will be obtained. To characterize elements of clinician decision-making not documented in the medical record, the panel of cardiologists will review records of patients seen under their care to explicitly note their primary reason for initiating, discontinuing, and titrating medications specific medications, as well as the reason for not making changes to each medication during the outpatient visit. Results from CHART-HF have the potential to detail real-world US practice patterns regarding care of patients with HFrEF with versus without a recent WHFE, to examine clinician-reported reasons for use and non-use of guideline-directed medical therapy, and to characterize the magnitude and nature of clinical inertia toward evidence-based medication changes for HFrEF.

Sections du résumé

BACKGROUND
Patients with heart failure with reduced ejection fraction (HFrEF) and worsening HF events (WHFE) represent a distinct subset of patients with a substantial comorbidity burden, greater potential for intolerance to medical therapy, and high risk of subsequent death, hospitalization and excessive healthcare costs. Although multiple therapies have been shown to be efficacious and safe in this high-risk population, there are limited real-world data regarding factors that impact clinical decision-making when initiating or modifying therapy. Likewise, prior analyses of US clinical practice support major gaps in medical therapy for HFrEF and few medication changes during longitudinal follow-up, yet granular data on reasons why clinicians do not initiate or up-titrate guideline-directed medication are lacking.
METHODS
We designed the CHART-HF study, an observational study of approximately 1,500 patients comparing patients with and without WHFE (WHFE defined as receipt of intravenous diuretics in the inpatient, outpatient, or emergency department setting) who had an index outpatient visit in the US between 2017 and 2019. Patient-level data on clinical characteristics, clinical outcomes, and therapy will be collected from 2 data sources: a single integrated health system, and a national panel of cardiologists. Furthermore, clinician-reported rationale for treatment decisions and the factors prioritized with selection and optimization of therapies in real-world practice will be obtained. To characterize elements of clinician decision-making not documented in the medical record, the panel of cardiologists will review records of patients seen under their care to explicitly note their primary reason for initiating, discontinuing, and titrating medications specific medications, as well as the reason for not making changes to each medication during the outpatient visit.
CONCLUSIONS
Results from CHART-HF have the potential to detail real-world US practice patterns regarding care of patients with HFrEF with versus without a recent WHFE, to examine clinician-reported reasons for use and non-use of guideline-directed medical therapy, and to characterize the magnitude and nature of clinical inertia toward evidence-based medication changes for HFrEF.

Identifiants

pubmed: 35640728
pii: S0002-8703(22)00110-7
doi: 10.1016/j.ahj.2022.05.016
pii:
doi:

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

127-136

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Stephen J Greene (SJ)

Duke Clinical Research Institute, Durham, North Carolina; Division of Cardiology, Duke University School of Medicine, Durham, NC. Electronic address: stephen.greene@duke.edu.

Dominik Lautsch (D)

Merck & Co., Inc., Rahway, NJ, US.

Hanna K Gaggin (HK)

Harvard Medical School, Boston, Massachusetts; Cardiology Division, Massachusetts General Hospital, Boston, MA.

Laurence M Djatche (LM)

Merck & Co., Inc., Rahway, NJ, US.

Mo Zhou (M)

Analysis Group, Inc., Boston, MA.

Yan Song (Y)

Analysis Group, Inc., Boston, MA.

James Signorovitch (J)

Analysis Group, Inc., Boston, MA.

Andra S Stevenson (AS)

Merck & Co., Inc., Rahway, NJ, US.

Robert O Blaustein (RO)

Merck & Co., Inc., Rahway, NJ, US.

Javed Butler (J)

Baylor Scott and White Research Institute, Dallas, TX and University of Mississippi, Jackson, MS.

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Classifications MeSH