Myocardial strain assessment using cardiovascular magnetic resonance imaging in recipients of implantable cardioverter defibrillators.


Journal

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
ISSN: 1532-429X
Titre abrégé: J Cardiovasc Magn Reson
Pays: England
ID NLM: 9815616

Informations de publication

Date de publication:
21 10 2021
Historique:
received: 30 04 2021
accepted: 16 08 2021
entrez: 21 10 2021
pubmed: 22 10 2021
medline: 4 11 2021
Statut: epublish

Résumé

Cardiovascular magnetic resonance (CMR) is increasingly used in the evaluation of patients who are potential candidates for implantable cardioverter-defibrillator (ICD) therapy to assess left ventricular (LV) ejection fraction (LVEF), myocardial fibrosis, and etiology of cardiomyopathy. It is unclear whether CMR-derived strain measurements are predictive of appropriate shocks and death among patients who receive an ICD. We evaluated the prognostic value of LV strain parameters on feature-tracking (FT) CMR in patients who underwent subsequent ICD implant for primary or secondary prevention of sudden cardiac death. Consecutive patients from 2 Canadian tertiary care hospitals who underwent ICD implant and had a pre-implant CMR scan were included. Using FT-CMR, a single, blinded, reader measured LV global longitudinal (GLS), circumferential (GCS), and radial (GRS) strain. Cox proportional hazards regression was performed to assess the associations between strain measurements and the primary composite endpoint of all-cause death or appropriate ICD shock that was independently ascertained. Of 364 patients (mean 61 years, mean LVEF 32%), 64(17.6%) died and 118(32.4%) reached the primary endpoint over a median follow-up of 62 months. Univariate analyses showed significant associations between GLS, GCS, and GRS and appropriate ICD shocks or death (all p < 0.01). In multivariable Cox models incorporating LVEF, GLS remained an independent predictor of both the primary endpoint (HR 1.05 per 1% higher GLS, 95% CI 1.01-1.09, p = 0.010) and death alone (HR 1.06 per 1% higher GLS, 95% CI 1.02-1.11, p = 0.003). There was no significant interaction between GLS and indication for ICD implant, presence of ischemic heart disease or late gadolinium enhancement (all p > 0.30). GLS by FT-CMR is an independent predictor of appropriate shocks or mortality in ICD patients, beyond conventional prognosticators including LVEF. Further study is needed to elucidate the role of LV strain analysis to refine risk stratification in routine assessment of ICD treatment benefit.

Sections du résumé

BACKGROUND
Cardiovascular magnetic resonance (CMR) is increasingly used in the evaluation of patients who are potential candidates for implantable cardioverter-defibrillator (ICD) therapy to assess left ventricular (LV) ejection fraction (LVEF), myocardial fibrosis, and etiology of cardiomyopathy. It is unclear whether CMR-derived strain measurements are predictive of appropriate shocks and death among patients who receive an ICD. We evaluated the prognostic value of LV strain parameters on feature-tracking (FT) CMR in patients who underwent subsequent ICD implant for primary or secondary prevention of sudden cardiac death.
METHODS
Consecutive patients from 2 Canadian tertiary care hospitals who underwent ICD implant and had a pre-implant CMR scan were included. Using FT-CMR, a single, blinded, reader measured LV global longitudinal (GLS), circumferential (GCS), and radial (GRS) strain. Cox proportional hazards regression was performed to assess the associations between strain measurements and the primary composite endpoint of all-cause death or appropriate ICD shock that was independently ascertained.
RESULTS
Of 364 patients (mean 61 years, mean LVEF 32%), 64(17.6%) died and 118(32.4%) reached the primary endpoint over a median follow-up of 62 months. Univariate analyses showed significant associations between GLS, GCS, and GRS and appropriate ICD shocks or death (all p < 0.01). In multivariable Cox models incorporating LVEF, GLS remained an independent predictor of both the primary endpoint (HR 1.05 per 1% higher GLS, 95% CI 1.01-1.09, p = 0.010) and death alone (HR 1.06 per 1% higher GLS, 95% CI 1.02-1.11, p = 0.003). There was no significant interaction between GLS and indication for ICD implant, presence of ischemic heart disease or late gadolinium enhancement (all p > 0.30).
CONCLUSIONS
GLS by FT-CMR is an independent predictor of appropriate shocks or mortality in ICD patients, beyond conventional prognosticators including LVEF. Further study is needed to elucidate the role of LV strain analysis to refine risk stratification in routine assessment of ICD treatment benefit.

Identifiants

pubmed: 34670574
doi: 10.1186/s12968-021-00806-4
pii: 10.1186/s12968-021-00806-4
pmc: PMC8529844
doi:

Substances chimiques

Contrast Media 0
Gadolinium AU0V1LM3JT

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

115

Informations de copyright

© 2021. The Author(s).

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Auteurs

Nigel S Tan (NS)

Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Djeven P Deva (DP)

Department of Medical Imaging, St. Michael's Hospital and Keenan Research Centre, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Canada.

Kim A Connelly (KA)

Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Paul Angaran (P)

Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Iqwal Mangat (I)

Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Laura Jimenez-Juan (L)

Department of Medical Imaging, St. Michael's Hospital and Keenan Research Centre, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Canada.
Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Ming-Yen Ng (MY)

Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China.

Kamran Ahmad (K)

Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Vamshi K Kotha (VK)

University of Calgary, Calgary, Canada.

Joao A C Lima (JAC)

Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Department of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, USA.

Andrew M Crean (AM)

University of Ottawa Heart Institute, Ottawa, Canada.

Paul Dorian (P)

Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Andrew T Yan (AT)

Division of Cardiology, Terrence Donnelly Heart Centre, St Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada. Andrew.yan@unityhealth.to.
Department of Medical Imaging, St. Michael's Hospital and Keenan Research Centre, Li Ka Shing Knowledge Institute, University of Toronto, Toronto, Canada. Andrew.yan@unityhealth.to.

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