Exploratory echocardiographic strain parameters for the estimation of myocardial infarct size in ST-elevation myocardial infarction.


Journal

Clinical cardiology
ISSN: 1932-8737
Titre abrégé: Clin Cardiol
Pays: United States
ID NLM: 7903272

Informations de publication

Date de publication:
Jul 2021
Historique:
revised: 28 03 2021
received: 06 12 2020
accepted: 31 03 2021
pubmed: 13 6 2021
medline: 16 10 2021
entrez: 12 6 2021
Statut: ppublish

Résumé

Outcome after ST-elevation myocardial infarction (STEMI) can be most reliably estimated by cardiac magnetic resonance (CMR) imaging. However, CMR is expensive, laborious, and has only limited availability. In comparison, transthoracic echocardiography (TTE) is widely available and cost-efficient. TTE strain parameters can be used as surrogate markers for CMR-measured parameters after STEMI. TTE strain analysis was performed of patients included in a controlled, prospective STEMI trial (NCT01777750) 4 ± 2 days after the event. Longitudinal peak strain (LPS), post-systolic shortening, early systolic lengthening, early systolic lengthening time, and time to peak shortening were measured, and index parameters were computed. Global longitudinal strain (GLS) and ejection fraction (EF) were compiled. Parameters were correlated with CMR-measured variables 4 ± 2 days after STEMI. In 70 STEMI patients, high quality CMR and TTE data were available. Highest correlation with CMR-measured infarct size was observed with GLS (r = 0.577, p < 0.0001), LPS (r = 0.571, p < 0.0001), and EF (r = -0.533, p < 0.0001). Highest correlation with CMR-measured area at risk was observed with GLS (r = 0.666, p < 0.0001), LPS (0.661, p < 0.0001) and early systolic lengthening index (r = 0.540, p < 0.0001). Receiver operating characteristics for the detection of large infarcts (quartile with highest infarct size) showed the highest area under the curve for LPS, GLS, EF, and myocardial dysfunction index. Multiple linear regression displayed the best association between GLS and infarct size. Exploratory strain parameters significantly correlate with CMR-measured area at risk and infarct size and are of potential interest as endpoint variables in clinical trials.

Sections du résumé

BACKGROUND BACKGROUND
Outcome after ST-elevation myocardial infarction (STEMI) can be most reliably estimated by cardiac magnetic resonance (CMR) imaging. However, CMR is expensive, laborious, and has only limited availability. In comparison, transthoracic echocardiography (TTE) is widely available and cost-efficient.
HYPOTHESIS OBJECTIVE
TTE strain parameters can be used as surrogate markers for CMR-measured parameters after STEMI.
METHODS METHODS
TTE strain analysis was performed of patients included in a controlled, prospective STEMI trial (NCT01777750) 4 ± 2 days after the event. Longitudinal peak strain (LPS), post-systolic shortening, early systolic lengthening, early systolic lengthening time, and time to peak shortening were measured, and index parameters were computed. Global longitudinal strain (GLS) and ejection fraction (EF) were compiled. Parameters were correlated with CMR-measured variables 4 ± 2 days after STEMI.
RESULTS RESULTS
In 70 STEMI patients, high quality CMR and TTE data were available. Highest correlation with CMR-measured infarct size was observed with GLS (r = 0.577, p < 0.0001), LPS (r = 0.571, p < 0.0001), and EF (r = -0.533, p < 0.0001). Highest correlation with CMR-measured area at risk was observed with GLS (r = 0.666, p < 0.0001), LPS (0.661, p < 0.0001) and early systolic lengthening index (r = 0.540, p < 0.0001). Receiver operating characteristics for the detection of large infarcts (quartile with highest infarct size) showed the highest area under the curve for LPS, GLS, EF, and myocardial dysfunction index. Multiple linear regression displayed the best association between GLS and infarct size.
CONCLUSION CONCLUSIONS
Exploratory strain parameters significantly correlate with CMR-measured area at risk and infarct size and are of potential interest as endpoint variables in clinical trials.

Identifiants

pubmed: 34117638
doi: 10.1002/clc.23608
pmc: PMC8259148
doi:

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

925-931

Subventions

Organisme : Austrian Science Fund
ID : APKLI209
Organisme : Vienna Major Fund
ID : 15214

Informations de copyright

© 2021 The Authors. Clinical Cardiology published by Wiley Periodicals LLC.

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Auteurs

Varius Dannenberg (V)

Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.

Finn Christiansen (F)

Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.

Matthias Schneider (M)

Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.

Stefan Kastl (S)

Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.

Thomas Martin Hofbauer (TM)

Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.

Thomas Scherz (T)

Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Department of Dermatology, Landesklinikum Wiener Neustadt, Wiener Neustadt, Austria.

Julia Mascherbauer (J)

Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Department of Internal Medicine, Karl Landsteiner University of Health Sciences, University Hospital St. Poelten, Krems, Austria.

Dietrich Beitzke (D)

Department of Biomedical Imaging and Image-guided therapy, Medical University of Vienna, Vienna, Austria.

Christoph Testori (C)

Department of Internal Medicine, Cardiology and Nephrology, Landesklinikum Wiener Neustadt, Vienna, Austria.
Department of Emergency Medicine, Medical University of Vienna, Vienna, Austria.

Irene Marthe Lang (IM)

Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.

Andreas Mangold (A)

Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Vienna, Austria.

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Classifications MeSH