Adding Speckle-Tracking Echocardiography to Visual Assessment of Systolic Wall Motion Abnormalities Improves the Detection of Myocardial Infarction.


Journal

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
ISSN: 1097-6795
Titre abrégé: J Am Soc Echocardiogr
Pays: United States
ID NLM: 8801388

Informations de publication

Date de publication:
01 2019
Historique:
received: 01 08 2018
pubmed: 21 10 2018
medline: 24 3 2020
entrez: 21 10 2018
Statut: ppublish

Résumé

The aim of this study was to investigate whether speckle-tracking echocardiography (STE) improves the detection of myocardial infarction (MI) over visual assessment of systolic wall motion abnormalities (SWMAs) using delayed enhancement cardiac magnetic resonance imaging as a reference. Transthoracic echocardiography was performed in 95 patients with first ST segment elevation MI 110 days (interquartile range, 97-171 days) after MI and in 48 healthy control subjects. Two experienced observers independently assessed SWMAs. Separately, longitudinal peak negative, peak systolic, end-systolic, global strain, and strain rate were measured and averaged for the American Heart Association-recommended coronary artery perfusion territories. Receiver operating characteristic analysis was used to determine a single optimal cutoff value for each strain parameter. The diagnostic accuracy of an algorithm combining visual assessment and STE was evaluated. Median infarct size and transmurality were 15% (interquartile range, 7%-24%) and 64% (interquartile range, 46%-78%), respectively. Sensitivity, specificity, and accuracy of visual assessment to detect MI were 74% (95% CI, 63%-82%), 85% (95% CI, 72%-93%), and 78% (95% CI, 70%-84%), respectively. Among the strain parameters, SR had the highest diagnostic accuracy (area under the curve, 0.88; 95% CI, 0.83-0.94; cutoff value, -0.97 sec The sensitivity and diagnostic accuracy of visually detecting chronic MI by assessing SWMAs are moderate but substantially improve when adding STE.

Sections du résumé

BACKGROUND
The aim of this study was to investigate whether speckle-tracking echocardiography (STE) improves the detection of myocardial infarction (MI) over visual assessment of systolic wall motion abnormalities (SWMAs) using delayed enhancement cardiac magnetic resonance imaging as a reference.
METHODS
Transthoracic echocardiography was performed in 95 patients with first ST segment elevation MI 110 days (interquartile range, 97-171 days) after MI and in 48 healthy control subjects. Two experienced observers independently assessed SWMAs. Separately, longitudinal peak negative, peak systolic, end-systolic, global strain, and strain rate were measured and averaged for the American Heart Association-recommended coronary artery perfusion territories. Receiver operating characteristic analysis was used to determine a single optimal cutoff value for each strain parameter. The diagnostic accuracy of an algorithm combining visual assessment and STE was evaluated.
RESULTS
Median infarct size and transmurality were 15% (interquartile range, 7%-24%) and 64% (interquartile range, 46%-78%), respectively. Sensitivity, specificity, and accuracy of visual assessment to detect MI were 74% (95% CI, 63%-82%), 85% (95% CI, 72%-93%), and 78% (95% CI, 70%-84%), respectively. Among the strain parameters, SR had the highest diagnostic accuracy (area under the curve, 0.88; 95% CI, 0.83-0.94; cutoff value, -0.97 sec
CONCLUSIONS
The sensitivity and diagnostic accuracy of visually detecting chronic MI by assessing SWMAs are moderate but substantially improve when adding STE.

Identifiants

pubmed: 30340888
pii: S0894-7317(18)30505-4
doi: 10.1016/j.echo.2018.09.007
pii:
doi:

Types de publication

Journal Article Multicenter Study Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

65-73

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2018 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.

Auteurs

Manouk J W van Mourik (MJW)

Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands. Electronic address: manouk.van.mourik@mumc.nl.

Daniëlle V J Zaar (DVJ)

Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands.

Martijn W Smulders (MW)

Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands.

Jordi Heijman (J)

Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands.

Joost Lumens (J)

CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Methodology and Statistics, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands.

Jeffrey E Dokter (JE)

Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands.

Valeria Lima Passos (V)

IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France.

Simon Schalla (S)

Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands.

Christian Knackstedt (C)

Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands.

Georg Schummers (G)

TOMTEC Imaging Systems, Unterschleissheim, Germany.

Ola Gjesdal (O)

Department of Cardiology, Oslo University Hospital and University of Oslo, Oslo, Norway.

Thor Edvardsen (T)

Department of Cardiology, Oslo University Hospital and University of Oslo, Oslo, Norway.

Sebastiaan C A M Bekkers (SCAM)

Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands; CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, the Netherlands.

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