Which is the best Myocardial Work index for the prediction of coronary artery disease? A data meta-analysis.
coronary artery disease
echocardiography
myocardial work
speckle-tracking
strain
Journal
Echocardiography (Mount Kisco, N.Y.)
ISSN: 1540-8175
Titre abrégé: Echocardiography
Pays: United States
ID NLM: 8511187
Informations de publication
Date de publication:
03 2023
03 2023
Historique:
revised:
24
12
2022
received:
24
06
2022
accepted:
20
01
2023
pubmed:
8
2
2023
medline:
15
3
2023
entrez:
7
2
2023
Statut:
ppublish
Résumé
Early diagnosis of Coronary Artery Disease (CAD) plays a key role to prevent adverse cardiac events such as myocardial infarction and Left Ventricular (LV) dysfunction. Myocardial Work (MW) indices derived from echocardiographic speckle tracking data in combination with non-invasive blood pressure recordings seems promising to predict CAD even in the absence of impairments of standard echocardiographic parameters. Our aim was to compare the diagnostic accuracy of MW indices to predict CAD and to assess intra- and inter-observer variability of MW through a meta-analysis. Electronic databases were searched for observational studies evaluating the MW indices diagnostic accuracy for predicting CAD and intra- and inter-observer variability of MW indices. Pooled sensitivity, specificity, and Summary Receiver Operating Characteristic (SROC) curves were assessed. Five studies enrolling 501 patients met inclusion criteria. Global Constructive Work (GCW) had the best pooled sensitivity (89%) followed by GLS (84%), Global Work Index (GWI) (82%), Global Work Efficiency (GWE) (80%), and Global Wasted Work (GWW) (75%). GWE had the best pooled specificity (78%) followed by GWI (75%), GCW (70%), GLS (68%), and GWW (61%). GCW had the best accuracy according to SROC curves, with an area under the curve of 0.86 compared to 0.84 for GWI, 0.83 for GWE, 0.79 for GLS, and 0.74 for GWW. All MW indices had an excellent intra- and inter-observer variability. GCW is the best MW index proving best diagnostic accuracy in the prediction of CAD with an excellent reproducibility.
Sections du résumé
BACKGROUND
Early diagnosis of Coronary Artery Disease (CAD) plays a key role to prevent adverse cardiac events such as myocardial infarction and Left Ventricular (LV) dysfunction. Myocardial Work (MW) indices derived from echocardiographic speckle tracking data in combination with non-invasive blood pressure recordings seems promising to predict CAD even in the absence of impairments of standard echocardiographic parameters. Our aim was to compare the diagnostic accuracy of MW indices to predict CAD and to assess intra- and inter-observer variability of MW through a meta-analysis.
METHODS
Electronic databases were searched for observational studies evaluating the MW indices diagnostic accuracy for predicting CAD and intra- and inter-observer variability of MW indices. Pooled sensitivity, specificity, and Summary Receiver Operating Characteristic (SROC) curves were assessed.
RESULTS
Five studies enrolling 501 patients met inclusion criteria. Global Constructive Work (GCW) had the best pooled sensitivity (89%) followed by GLS (84%), Global Work Index (GWI) (82%), Global Work Efficiency (GWE) (80%), and Global Wasted Work (GWW) (75%). GWE had the best pooled specificity (78%) followed by GWI (75%), GCW (70%), GLS (68%), and GWW (61%). GCW had the best accuracy according to SROC curves, with an area under the curve of 0.86 compared to 0.84 for GWI, 0.83 for GWE, 0.79 for GLS, and 0.74 for GWW. All MW indices had an excellent intra- and inter-observer variability.
CONCLUSIONS
GCW is the best MW index proving best diagnostic accuracy in the prediction of CAD with an excellent reproducibility.
Types de publication
Meta-Analysis
Journal Article
Comment
Langues
eng
Sous-ensembles de citation
IM
Pagination
217-226Commentaires et corrections
Type : CommentOn
Informations de copyright
© 2023 Wiley Periodicals LLC.
Références
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