Left atrial strain analysis and new-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction: A prospective echocardiography study.

Left atrial strain Myocardial infarction New-onset atrial fibrillation (NOAF) Reservoir ST-segment elevation myocardial infarction (STEMI)

Journal

Archives of cardiovascular diseases
ISSN: 1875-2128
Titre abrégé: Arch Cardiovasc Dis
Pays: Netherlands
ID NLM: 101465655

Informations de publication

Date de publication:
15 Feb 2024
Historique:
received: 04 12 2023
revised: 15 01 2024
accepted: 15 01 2024
medline: 1 3 2024
pubmed: 1 3 2024
entrez: 29 2 2024
Statut: aheadofprint

Résumé

New-onset atrial fibrillation (NOAF) is a well-known complication of ST-segment elevation myocardial infarction (STEMI), probably due to left atrial (LA) remodelling. LA strain (LAS) can predict NOAF in several cardiovascular diseases. To assess whether LAS predicts NOAF in sinus rhythm patients with STEMI during hospitalization. Adults with a STEMI and transthoracic echocardiography performed within 48hours of admission were included. LAS analysis, performed by automated software, recorded LAS during the reservoir phase (LASr), the conduit phase (LAScd) and the contraction phase (LASct). From May 2021 to November 2022, 175 patients were included, 21 (12%) of whom developed NOAF. NOAF patients were older (median [Q1-Q3]: 67 [59-80] vs 59 [51-67]years; P=0.006) and had a higher Thrombolysis In Myocardial Infarction scores (4 [2-7] vs 3 [1-4]; P=0.005). All LAS parameters were significantly impaired in NOAF patients, especially LASr (13.0% [10.5-28.4] vs 36.6% [29.0-44.9]; P=0.001). An LASr cut-off of 27% had a sensitivity of 81% and a specificity of 80% to identify patients with NOAF. In a multivariable model, LASr was significantly associated with NOAF (odds ratio 1.18, 95% confidence interval 1.09-1.26; P=0.003). The cumulative risk of NOAF during hospital stay was 30% (18-43 with LASr<27% and 4% [1.5-8.5] with LASr≥27% [P<0.0001]). NOAF is a frequent complication of STEMI. LASr seems helpful for identifying patients at high risk of NOAF during hospitalization.

Sections du résumé

BACKGROUND BACKGROUND
New-onset atrial fibrillation (NOAF) is a well-known complication of ST-segment elevation myocardial infarction (STEMI), probably due to left atrial (LA) remodelling. LA strain (LAS) can predict NOAF in several cardiovascular diseases.
OBJECTIVE OBJECTIVE
To assess whether LAS predicts NOAF in sinus rhythm patients with STEMI during hospitalization.
METHODS METHODS
Adults with a STEMI and transthoracic echocardiography performed within 48hours of admission were included. LAS analysis, performed by automated software, recorded LAS during the reservoir phase (LASr), the conduit phase (LAScd) and the contraction phase (LASct).
RESULTS RESULTS
From May 2021 to November 2022, 175 patients were included, 21 (12%) of whom developed NOAF. NOAF patients were older (median [Q1-Q3]: 67 [59-80] vs 59 [51-67]years; P=0.006) and had a higher Thrombolysis In Myocardial Infarction scores (4 [2-7] vs 3 [1-4]; P=0.005). All LAS parameters were significantly impaired in NOAF patients, especially LASr (13.0% [10.5-28.4] vs 36.6% [29.0-44.9]; P=0.001). An LASr cut-off of 27% had a sensitivity of 81% and a specificity of 80% to identify patients with NOAF. In a multivariable model, LASr was significantly associated with NOAF (odds ratio 1.18, 95% confidence interval 1.09-1.26; P=0.003). The cumulative risk of NOAF during hospital stay was 30% (18-43 with LASr<27% and 4% [1.5-8.5] with LASr≥27% [P<0.0001]).
CONCLUSION CONCLUSIONS
NOAF is a frequent complication of STEMI. LASr seems helpful for identifying patients at high risk of NOAF during hospitalization.

Identifiants

pubmed: 38423888
pii: S1875-2136(24)00028-7
doi: 10.1016/j.acvd.2024.01.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Masson SAS.. All rights reserved.

Auteurs

Christophe Beyls (C)

Department of Anaesthesiology and Critical Care Medicine, Amiens University Hospital, 80054 Amiens, France; UR UPJV 7518 SSPC (Simplification of Care of Complex Surgical Patients) Research Unit, University of Picardie Jules-Verne, 80054 Amiens, France. Electronic address: beyls.christophe59@gmail.com.

Alexis Hermida (A)

Department of Cardiology, Rhythmology unit, Amiens University Hospital, 80054 Amiens, France. Electronic address: hermida.alexis@chu-amiens.fr.

Martin Nicolas (M)

Department of Cardiology, Cardiac intensive care unit, Amiens University Hospital, 80054 Amiens, France.

Romain Debrigode (R)

Department of Cardiology, Cardiac intensive care unit, Amiens University Hospital, 80054 Amiens, France.

Alexis Vialatte (A)

Department of Cardiology, Cardiac intensive care unit, Amiens University Hospital, 80054 Amiens, France.

Julia Peschanski (J)

Department of Anaesthesiology and Critical Care Medicine, Amiens University Hospital, 80054 Amiens, France.

Camille Bunelle (C)

Department of Anaesthesiology and Critical Care Medicine, Amiens University Hospital, 80054 Amiens, France.

Alexandre Fournier (A)

Department of Cardiology, Cardiac intensive care unit, Amiens University Hospital, 80054 Amiens, France.

Geneviève Jarry (G)

Department of Cardiology, Cardiac intensive care unit, Amiens University Hospital, 80054 Amiens, France.

Thomas Landemaine (T)

Department of Cardiology, Cardiac intensive care unit, Amiens University Hospital, 80054 Amiens, France.

Dorothée Malaquin (D)

Department of Cardiology, Cardiac intensive care unit, Amiens University Hospital, 80054 Amiens, France.

Maciej Kubala (M)

Department of Cardiology, Rhythmology unit, Amiens University Hospital, 80054 Amiens, France.

Yazine Mahjoub (Y)

Department of Anaesthesiology and Critical Care Medicine, Amiens University Hospital, 80054 Amiens, France.

Laurent Leborgne (L)

Department of Cardiology, Cardiac intensive care unit, Amiens University Hospital, 80054 Amiens, France.

Classifications MeSH