Factors and outcomes associated with improved left ventricular systolic function in patients with cardiomyopathy.


Journal

Cardiology journal
ISSN: 1898-018X
Titre abrégé: Cardiol J
Pays: Poland
ID NLM: 101392712

Informations de publication

Date de publication:
2022
Historique:
received: 01 06 2020
accepted: 02 12 2020
revised: 11 11 2020
pubmed: 14 1 2021
medline: 23 12 2022
entrez: 13 1 2021
Statut: ppublish

Résumé

Many patients in the Sudden Cardiac Death in Heart Failure Trial (SCD-HeFT) had a significant improvement (> 10%) in the left ventricular ejection fraction (LVEF) during the course of the study, but the factors and outcomes associated with such improvement are uncertain. We examined factors and rates of mortality, cause-specific mortality, and implantable cardioverter-defibrillator (ICD) shocks associated with improvement in LVEF by analyzing patients in the SCD-HeFT who were randomized to placebo or an ICD and who had an LVEF checked during follow-up. During a median follow-up of 3.99 years, of 837 patients who had at least two follow-up LVEF measurements, 276 (33%) patients had > 10% improvement in LVEF and 561 (67%) patients had no significant change in LVEF. Factors significantly associated with LVEF improvement included female sex, white race, history of hypertension, a QRS duration < 120 ms, and beta-blocker use. Improvement in LVEF was associated with a significant improvement in survival. There was no significant association between improvement in LVEF and cause-specific death, but there was a significant association between improvement in LVEF and reduced risk of receiving appropriate ICD shocks. About a third of patients in this analysis, who were randomized to placebo or an ICD in SCD-HeFT, had a significant improvement in LVEF during follow-up; improvement in LVEF was associated with improved survival but not with cause-specific death, and with decreased likelihood of receiving appropriate ICD shocks.

Sections du résumé

BACKGROUND
Many patients in the Sudden Cardiac Death in Heart Failure Trial (SCD-HeFT) had a significant improvement (> 10%) in the left ventricular ejection fraction (LVEF) during the course of the study, but the factors and outcomes associated with such improvement are uncertain.
METHODS
We examined factors and rates of mortality, cause-specific mortality, and implantable cardioverter-defibrillator (ICD) shocks associated with improvement in LVEF by analyzing patients in the SCD-HeFT who were randomized to placebo or an ICD and who had an LVEF checked during follow-up.
RESULTS
During a median follow-up of 3.99 years, of 837 patients who had at least two follow-up LVEF measurements, 276 (33%) patients had > 10% improvement in LVEF and 561 (67%) patients had no significant change in LVEF. Factors significantly associated with LVEF improvement included female sex, white race, history of hypertension, a QRS duration < 120 ms, and beta-blocker use. Improvement in LVEF was associated with a significant improvement in survival. There was no significant association between improvement in LVEF and cause-specific death, but there was a significant association between improvement in LVEF and reduced risk of receiving appropriate ICD shocks.
CONCLUSIONS
About a third of patients in this analysis, who were randomized to placebo or an ICD in SCD-HeFT, had a significant improvement in LVEF during follow-up; improvement in LVEF was associated with improved survival but not with cause-specific death, and with decreased likelihood of receiving appropriate ICD shocks.

Identifiants

pubmed: 33438181
pii: VM/OJS/J/69279
doi: 10.5603/CJ.a2020.0187
pmc: PMC9788743
doi:

Types de publication

Randomized Controlled Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

978-984

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM007171
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM145449
Pays : United States

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Auteurs

Dylan S Eiger (DS)

Department of Medicine, Duke University, Durham, NC, USA. dylan.eiger@duke.edu.

Lurdes Y T Inoue (LYT)

Department of Biostatistics, University of Washington, Seattle, WA, USA.

Qijun Li (Q)

Department of Biostatistics, University of Washington, Seattle, WA, USA.

Gust Bardy (G)

The Seattle Institute for Cardiac Research, Seattle, WA, USA.

Kerry Lee (K)

Department of Medicine, Duke University, Durham, NC, USA.
Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.

Jeanne Poole (J)

Department of Medicine, University of Washington, Seattle, WA, USA.

Daniel Mark (D)

Department of Medicine, Duke University, Durham, NC, USA.
Duke Clinical Research Institute, Duke University, Durham, NC, USA.

Zainab Samad (Z)

Department of Medicine, Duke University, Durham, NC, USA.

Daniel Friedman (D)

Department of Medicine, Duke University, Durham, NC, USA.

Daniel Fishbein (D)

Department of Medicine, University of Washington, Seattle, WA, USA.

Gillian Sanders (G)

Department of Medicine, Duke University, Durham, NC, USA.
Duke Clinical Research Institute, Duke University, Durham, NC, USA.

Sana M Al-Khatib (SM)

Department of Medicine, Duke University, Durham, NC, USA.
Duke Clinical Research Institute, Duke University, Durham, NC, USA.

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