S'abonner

Mental Stress-Induced Myocardial Ischemia Detected by Global Longitudinal Strain and Quantitative Myocardial Contrast Echocardiography in Women With Nonobstructive Coronary Artery Disease - 03/09/24

Doi : 10.1016/j.echo.2024.05.008 
Bo Kong, MD a, Hongwen Fei, MD, PhD a, Shiyao Cheng, MS b, Huan Ma, MD, PhD c, Han Yin, MS d, Mingqi Li, MD e, Quanjun Liu, MS c, Yuting Liu, MS d, Bingqing Bai, MS c, Fengyao Liu, MS c, Lan Guo, MD, PhD c, Qingshan Geng, MD, PhD c, d,
a Department of Echocardiography, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China 
b Department of Cardiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China 
c Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China 
d Department of Cardiology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China 
e Department of Ultrasonography, Renmin Hospital of Wuhan University, Wuhan, China 

Reprint requests: Qingshan Geng, MD, PhD, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), 102 Zhongshan Second Road, Guangzhou 510080, Guangdong, China.Department of CardiologyGuangdong Cardiovascular InstituteGuangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)102 Zhongshan Second RoadGuangzhouGuangdong510080China

Abstract

Background

The utility of radionuclide myocardial perfusion imaging including positron emission tomography (PET) for diagnosing mental stress-induced myocardial ischemia (MSIMI) is clinically restricted. This study aims to assess the diagnostic performance of novel echocardiographic techniques, including automated strain and quantitative myocardial contrast echocardiography (MCE) with dedicated software and deep neural network model, for MSIMI detection. The secondary objective was to explore the correlation between changes in myocardial blood flow and MSIMI.

Methods

Seventy-two female patients ages 18 to 75 with angina and nonobstructive coronary artery disease (ANOCA) and 23 healthy controls were prospectively recruited. Both echocardiography with contrast agent and PET imaging were performed during structured mental stress testing. Mental stress-induced myocardial ischemia was defined as a summed difference score ≥3 on PET. Echocardiographic parameters including left ventricular global longitudinal strain, β, and A × β were obtained, and their trends during mental stress testing were observed. ΔGLS was defined as the ratio of difference between global longitudinal strain values at stress and rest to the rest data. β reserve and A×β reserve were respectively calculated.

Results

Thirty-two ANOCA patients (44%) and 1 control (4%) were diagnosed with MSIMI (P < .01). For ANOCA patients with MSIMI, left ventricular GLS, β, and A × β declined to varied extents during mental stress testing compared with those without MSIMI and the controls (P < .05). Bland-Altman plots demonstrated good consistency between β reserve and A × β reserve output by the deep neural network model and iMCE software. Receiver operating characteristic curve analyses showed that ΔGLS, β reserve, and A × β reserve demonstrated favorable ability to predict MSIMI, especially the combination of A × β reserve using iMCE analysis and ΔGLS (area under the curve, 0.94; sensitivity, 83%; specificity, 97%).

Conclusions

Novel technologies in echocardiography exhibit the potential to be a clinical alternative to cardiac PET for effectively detecting MSIMI. Attenuated myocardial blood flow response during structured mental stress testing was correlated with MSIMI, providing a reasonable explanation for the chest discomfort persisting in ANOCA women.

Le texte complet de cet article est disponible en PDF.

Graphical abstract




Central illustration : 

Mental stress-induced myocardial ischemia detected by global longitudinal strain and quantitative myocardial contrast echocardiography in women with nonobstructive coronary artery disease. 2D ΔGLS and A×β reserve on quantitative MCE could effectively predict MSIMI diagnosed by cardiac PET among a cohort of female patients with angina and nonobstructive coronary artery disease. Attenuated MBF response during structured mental stress testing was correlated with MSIMI.


Central illustrationMental stress-induced myocardial ischemia detected by global longitudinal strain and quantitative myocardial contrast echocardiography in women with nonobstructive coronary artery disease. 2D ΔGLS and A×β reserve on quantitative MCE could effectively predict MSIMI diagnosed by cardiac PET among a cohort of female patients with angina and nonobstructive coronary artery disease. Attenuated MBF response during structured mental stress testing was correlated with MSIMI.

Le texte complet de cet article est disponible en PDF.

Highlights

The diagnosis of MSIMI is challenging.
ΔGLS and flow reserve on quantitative MCE could effectively detect MSIMI.
Attenuated flow response during mental stress was correlated with MSIMI.

Le texte complet de cet article est disponible en PDF.

Keywords : Mental stress-induced myocardial ischemia, Global longitudinal strain, Myocardial contrast echocardiography, Myocardial blood flow, Deep neural network

Abbreviations : 2D, ANOCA, AUC, CAD, CAG, CMD, ConvLSTM, CSIMI, DNN, GLS, HADS, ICC, IQR, LVEF, LVGLS, MBF, MCE, MI, MSIMI, PET, PSS, ROC, ROI, RPP


Plan


 Drs. Kong, Fei, Cheng and Ma contributed equally to this work.
 This work was supported by Basic and Applied Basic Research Foundation of Guangdong Province (2021A1515012232) and the National Natural Science Foundation of China launching fund of Guangdong Provincial People's Hospital (8,227,070,211).


© 2024  American Society of Echocardiography. Publié par Elsevier Masson SAS. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 37 - N° 9

P. 894-905 - septembre 2024 Retour au numéro
Article précédent Article précédent
  • Association of Cumulative Systolic Blood Pressure With Left Atrial Function in the Setting of Normal Left Atrial Size: The Atherosclerosis Risk in Communities (ARIC) Study
  • Jeremy R. Van't Hof, Romil Parikh, Ethan D. Moser, Riccardo M. Inciardi, Kunihiro Matsushita, Elsayed Z. Soliman, Alvaro Alonso, Amil M. Shah, Scott D. Solomon, Pamela L. Lutsey, Lin Yee Chen
| Article suivant Article suivant
  • Diagnosis of Mental Stress–Induced Myocardial Ischemia: A Physician’s Enigma
  • Sanjiv Kaul

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.