Prediction of AF in Heart Failure With Preserved Ejection Fraction: Incremental Value of Left Atrial Strain.

atrial fibrillation heart failure with preserved ejection fraction left atrial volume index peak atrial contraction strain peak atrial longitudinal strain

Journal

JACC. Cardiovascular imaging
ISSN: 1876-7591
Titre abrégé: JACC Cardiovasc Imaging
Pays: United States
ID NLM: 101467978

Informations de publication

Date de publication:
01 2021
Historique:
received: 20 04 2020
revised: 06 07 2020
accepted: 27 07 2020
entrez: 8 1 2021
pubmed: 9 1 2021
medline: 22 7 2021
Statut: ppublish

Résumé

This study sought to identify the factors associated with incident atrial fibrillation (AF) in a well-characterized heart failure with preserved ejection fraction (HFpEF) population, with special focus on left atrial (LA) strain. AF is associated with HFpEF, with adverse consequences. Effective risk evaluation might allow the initiation of protective strategies. Clinical evaluation and echocardiography, including measurements of peak atrial longitudinal strain (PALS), peak atrial contraction strain (PACS), and LA volume index (LAVI), were obtained in 170 patients with symptomatic HFpEF (mean age, 65 ± 8 years), free of baseline AF. AF was identified by standard 12-lead electrocardiogram, review of relevant medical records (including Holter documentation), and surveillance with a portable single-lead electrocardiogram device over 2 weeks. Results were validated in the 103 patients with HFpEF from the Karolinska-Rennes (KaRen) study. Over a median follow-up of 49 months, incident AF was identified in 39 patients (23%). Patients who developed AF were older; had higher clinical risk scores, brain natriuretic peptide, creatinine, LAVI, and LV mass; lower LA strain and exercise capacity; and more impaired LV diastolic function. PACS, PALS, and LAVI were the most predictive parameters for AF (area under receiver-operating characteristic curve: 0.76 for PACS, 0.71 for PALS, and 0.72 for LAVI). Nested Cox regression models showed that the predictive value of PACS and PALS was independent from and incremental to clinical data, LAVI, and E/e' ratio. Classification and regression trees analysis identified PACS ≤12.7%, PALS ≤29.4%, and LAVI >34.3 ml/m PACS and PALS provide incremental predictive information about incident AF in HFpEF. The inclusion of these LA strain components to the diagnostic algorithm may help guide screening and further monitoring for AF risk in this population.

Sections du résumé

OBJECTIVES
This study sought to identify the factors associated with incident atrial fibrillation (AF) in a well-characterized heart failure with preserved ejection fraction (HFpEF) population, with special focus on left atrial (LA) strain.
BACKGROUND
AF is associated with HFpEF, with adverse consequences. Effective risk evaluation might allow the initiation of protective strategies.
METHODS
Clinical evaluation and echocardiography, including measurements of peak atrial longitudinal strain (PALS), peak atrial contraction strain (PACS), and LA volume index (LAVI), were obtained in 170 patients with symptomatic HFpEF (mean age, 65 ± 8 years), free of baseline AF. AF was identified by standard 12-lead electrocardiogram, review of relevant medical records (including Holter documentation), and surveillance with a portable single-lead electrocardiogram device over 2 weeks. Results were validated in the 103 patients with HFpEF from the Karolinska-Rennes (KaRen) study.
RESULTS
Over a median follow-up of 49 months, incident AF was identified in 39 patients (23%). Patients who developed AF were older; had higher clinical risk scores, brain natriuretic peptide, creatinine, LAVI, and LV mass; lower LA strain and exercise capacity; and more impaired LV diastolic function. PACS, PALS, and LAVI were the most predictive parameters for AF (area under receiver-operating characteristic curve: 0.76 for PACS, 0.71 for PALS, and 0.72 for LAVI). Nested Cox regression models showed that the predictive value of PACS and PALS was independent from and incremental to clinical data, LAVI, and E/e' ratio. Classification and regression trees analysis identified PACS ≤12.7%, PALS ≤29.4%, and LAVI >34.3 ml/m
CONCLUSIONS
PACS and PALS provide incremental predictive information about incident AF in HFpEF. The inclusion of these LA strain components to the diagnostic algorithm may help guide screening and further monitoring for AF risk in this population.

Identifiants

pubmed: 33413883
pii: S1936-878X(20)30788-9
doi: 10.1016/j.jcmg.2020.07.040
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

131-144

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2021 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Author Disclosures This work was supported in part by Grant ST-678 from Wroclaw Medical University and 13-024 from the Royal Hobart Hospital Foundation. The authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Auteurs

Ewelina Jasic-Szpak (E)

Wroclaw Medical University, Wroclaw, Poland.

Thomas H Marwick (TH)

Baker Heart and Diabetes Institute, Melbourne, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia. Electronic address: tom.marwick@baker.edu.au.

Erwan Donal (E)

University of Rennes, Rennes, France.

Monika Przewlocka-Kosmala (M)

Wroclaw Medical University, Wroclaw, Poland; Baker Heart and Diabetes Institute, Melbourne, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.

Quan Huynh (Q)

Baker Heart and Diabetes Institute, Melbourne, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.

Anna Gozdzik (A)

Wroclaw Medical University, Wroclaw, Poland.

Anna K Woznicka (AK)

Wroclaw Medical University, Wroclaw, Poland.

Ewa A Jankowska (EA)

Wroclaw Medical University, Wroclaw, Poland.

Piotr Ponikowski (P)

Wroclaw Medical University, Wroclaw, Poland.

Wojciech Kosmala (W)

Wroclaw Medical University, Wroclaw, Poland; Baker Heart and Diabetes Institute, Melbourne, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.

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