Impact of disease stage on the performance of strain markers in the prediction of atrial fibrillation.


Journal

International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291

Informations de publication

Date de publication:
01 02 2021
Historique:
received: 27 05 2020
revised: 05 07 2020
accepted: 20 09 2020
pubmed: 29 9 2020
medline: 28 5 2021
entrez: 28 9 2020
Statut: ppublish

Résumé

Assessing atrial fibrillation (AF) risk may be useful in primary prevention (PP; people with risk factors) and secondary prevention (SP; eg. embolic stroke of unknown source). We sought whether disease stage influenced the prediction of AF by echocardiography. We compared a PP cohort (351 community-based participants ≥65 years with ≥1 risk factor for AF) and a SP cohort (453 patients after transient ischemic attack or stroke). LV global longitudinal strain (GLS) and left atrial reservoir strain (LARS) were measured from DICOM images. AF was diagnosed by 12 lead ECG, Holter or by single lead monitor over median follow-up of 22 months (PP) and 35 months (SP). The clinical and echocardiographic characteristics of those with AF were compared to those in sinus rhythm. Nested Cox-regression models assessed for independent and incremental predictive value of LARS and GLS in both cohorts. AF developed in 42 PP (12%) and 60 SP (13%), and was associated with age, higher CHARGE-AF score, increased LA volume and LV mass (p < 0.05). Patients developing AF had reduced GLS (17 ± 3.5% vs. 20 ± 3%, p < 0.001) and LARS (28 ± 11% vs. 35 ± 8%, p < 0.001). However, the predictive value of both GLS (area under the ROC curve 0.83 vs 0.56, p < 0.001) and LARS (0.83 vs 0.57, p < 0.001) was greater in SP than PP. LARS was independently associated with AF in both cohorts (p < 0.05), but GLS was only independently associated in the SP cohort. AF risk assessment with LARS is suitable for different risk cohorts, but GLS is more useful in SP.

Sections du résumé

BACKGROUND
Assessing atrial fibrillation (AF) risk may be useful in primary prevention (PP; people with risk factors) and secondary prevention (SP; eg. embolic stroke of unknown source). We sought whether disease stage influenced the prediction of AF by echocardiography.
METHODS
We compared a PP cohort (351 community-based participants ≥65 years with ≥1 risk factor for AF) and a SP cohort (453 patients after transient ischemic attack or stroke). LV global longitudinal strain (GLS) and left atrial reservoir strain (LARS) were measured from DICOM images. AF was diagnosed by 12 lead ECG, Holter or by single lead monitor over median follow-up of 22 months (PP) and 35 months (SP). The clinical and echocardiographic characteristics of those with AF were compared to those in sinus rhythm. Nested Cox-regression models assessed for independent and incremental predictive value of LARS and GLS in both cohorts.
RESULTS
AF developed in 42 PP (12%) and 60 SP (13%), and was associated with age, higher CHARGE-AF score, increased LA volume and LV mass (p < 0.05). Patients developing AF had reduced GLS (17 ± 3.5% vs. 20 ± 3%, p < 0.001) and LARS (28 ± 11% vs. 35 ± 8%, p < 0.001). However, the predictive value of both GLS (area under the ROC curve 0.83 vs 0.56, p < 0.001) and LARS (0.83 vs 0.57, p < 0.001) was greater in SP than PP. LARS was independently associated with AF in both cohorts (p < 0.05), but GLS was only independently associated in the SP cohort.
CONCLUSION
AF risk assessment with LARS is suitable for different risk cohorts, but GLS is more useful in SP.

Identifiants

pubmed: 32987052
pii: S0167-5273(20)33838-9
doi: 10.1016/j.ijcard.2020.09.057
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

233-241

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Satish Ramkumar (S)

Baker Heart and Diabetes Institute, Melbourne, Australia; School of Public Health and Preventative Medicine, Monash University, Melbourne, Australia.

Faraz Pathan (F)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia; Department of Cardiology, Nepean Hospital, Sydney, Australia.

Hiroshi Kawakami (H)

Baker Heart and Diabetes Institute, Melbourne, Australia; School of Public Health and Preventative Medicine, Monash University, Melbourne, Australia.

Ayame Ochi (A)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.

Hong Yang (H)

Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.

Elizabeth L Potter (EL)

Baker Heart and Diabetes Institute, Melbourne, Australia.

Thomas H Marwick (TH)

Baker Heart and Diabetes Institute, Melbourne, Australia; School of Public Health and Preventative Medicine, Monash University, Melbourne, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia. Electronic address: Tom.Marwick@baker.edu.au.

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