Roberta Manganaro1, Stella Marchetta1, Raluca Dulgheru1, Tadafumi Sugimoto1,2, Toshimitsu Tsugu1,3, Federica Ilardi1,4, Marianna Cicenia1, Arnaud Ancion1, Adriana Postolache1, Christophe Martinez1, George Kacharava5, George D Athanassopoulos6, Daniele Barone7, Monica Baroni8, Nuno Cardim9, Andreas Hagendorff10, Krasimira Hristova11, Teresa Lopez12, Gonzalo de la Morena13, Bogdan A Popescu14, Martin Penicka15, Tolga Ozyigit16, Jose David Rodrigo Carbonero17, Nico van de Veire18, Ralph Stephan Von Bardeleben19, Dragos Vinereanu20, Jose Luis Zamorano21, Monica Rosca14, Andreea Calin14, Marie Moonen1, Julien Magne22,23, Bernard Cosyns24, Elena Galli25, Erwan Donal25, Scipione Carerj26, Concetta Zito26, Ciro Santoro4, Maurizio Galderisi4, Luigi P Badano27, Roberto M Lang28, Patrizio Lancellotti1,29. 1. Department of Cardiology, University of Liège Hospital, GIGA Cardiovascular Sciences, Heart Valve Clinic, CHU du Sart Tilman, Domaine Universitaire du Sart Tilman, Batiment B35, 4000 Liège, Belgium. 2. Department of Clinical Laboratory, Mie University Hospital, Mie, 2-174 Edobashi, 514-8507 Tsu, Japan. 3. Department of Cardiology, School of Medicine, Keio University, 160-8582 Tokyo, Japan. 4. Department of Advanced Biomedical Sciences, Federico II University Hospital, Via S.Pansini, 5, 80131 Napoli, Italy. 5. Department of Cardiology, Tbilisi Institute of Medicine (TIM), 16 Tsintsadze, 0160 Tbilisi, Georgia. 6. Noninvasive Diagnostics Department, Onassis Cardiac Surgery Center, Leof. Andrea Siggrou 356, 176 74 Kallithea, Athens, Greece. 7. Cardiology Department, Laboratory of Cardiovascular Ecography, S. Andrea Hospital, La Spezia, Italy. 8. Laboratorio Di Ecocardiografia Adulti, Fondazione Toscana "G.Monasterio" - Ospedale Del Cuore, Via Giuseppe Moruzzi, 1, 56124 Pisa, Massa, Italy. 9. Echocardiography Laboratory, Hospital da Luz, Av. Lusíada 100, 1500-650 Lisboa, Portugal. 10. Department of Cardiology, University of Leipzig, Liebigstraße 20, 04103 Leipzig, Germany. 11. Department of Noninvasive Functional Diagnostic and Imaging, University National Heart Hospital, ul. 'Konyovitsa' 65, 1309 g.k. Ilinden, Sofia, Bulgaria. 12. Cardiology Department, La Paz Hospital, Paseo de la Castellana, 261, 28046 Madrid, Spain. 13. Unidad de Imagen Cardiaca, Servicio de Cardiologia, Hospital Clinico Universitario Virgen de la Arrixaca, IMIB-Arrixaca, Ctra. Madrid-Cartagena, s/n, 30120 El Palmar, Murcia, Spain. 14. Department of Cardiology, University of Medicine and Pharmacy 'Carol Davila', Euroecolab, Institute of Cardiovascular Diseases 'Prof. Dr. C. C. Iliescu', Sos. Fundeni 258, sector 2, 022328 Bucharest, Romania. 15. Cardiovascular Center Aalst, OLV-Clinic, Moorselbaan 164, 9300 Aalst, Belgium. 16. VKV Amerikan Hastanesi, Kardiyoloji Bölümü, Tes v¸ikiye, Güzelbahçe Sok, No: 20, 34365 Nişantaşı Istanbul Turkey. 17. Laboratorio de Ecocardiografia Hospital de Cruces, Plaza de Cruces, S/N, 48903 Baracaldo, Vizcaya, Spain. 18. Echocardiography Unit, AZ Maria Middelares Gent, Buitenring-Sint-Denijs 30, 9000 Gent, Belgium. 19. Medical Department Cardiology, Universitätsmedizin of the Johannes Gutenberg-University Mainz, Langenbeckstraße 1, 55131 Mainz, Germany. 20. Cardiovascular Research Unit, University and Emergency Hospital, University of Medicine and Pharmacy Carol Davila, Sector 1, Strada Dionisie Lupu 37, 030167 Bucureşti, Romania. 21. University Alcala, Hospital Ramón y Cajal, Ctra. De Colmenar Viejo, km. 9, 100, 28034 Madrid, Spain. 22. CHU Limoges, Hôpital Dupuytren, Service Cardiologie, Limoges F-87042, France. 23. INSERM 1094, Faculté de médecine de Limoges, 2, rue Marcland, 87000 Limoges, France. 24. CHVZ (Centrum voor Hart en Vaatziekten), Universitair ziekenhuis Brussel and ICMI (In Vivo Cellular and Molecular Imaging) Laboratory, Avenue du Laerbeek 101, 1090 Jette, Brussels, Belgium. 25. CIC-IT U 1414, CHU Rennes, Université Rennes 1, Service de Cardiologie, CHU Rennes, 2 Rue Henri le Guilloux, 35000 Rennes, France. 26. Department of Clinical and Experimental Medicine, Section of Cardiology, University of Messina, 1, Via Consolare Valeria - 98125 Messina (IT), Italy. 27. Department of Medicine and Surgery, University Milano-Bicocca, and Istituto Auxologico Italiano, IRCCS, Cardiology Unit and Dept of Cardiovascular, Neural and Metabolic Sciences, San Luca Hospital, P.le Brescia 20, 20149 Milano, Italy. 28. Department of Medicine, University of Chicago Medical Center, 5841 S Maryland Ave, Chicago, 60637 IL, USA. 29. Gruppo Villa Maria Care and Research, Anthea Hospital, Via Camillo Rosalba, 35, 70124 Bari, Italy.
Abstract
AIMS: The present study sought to evaluate the correlation between indices of non-invasive myocardial work (MW) and left ventricle (LV) size, traditional and advanced parameters of LV systolic and diastolic function by 2D echocardiography (2DE). METHODS AND RESULTS: A total of 226 (85 men, mean age: 45 ± 13 years) healthy subjects were enrolled at 22 collaborating institutions of the Normal Reference Ranges for Echocardiography (NORRE) study. Global work index (GWI), global constructive work (GCW), global work waste (GWW), and global work efficiency (GWE) were estimated from LV pressure-strain loops using custom software. Peak LV pressure was estimated non-invasively from brachial artery cuff pressure. LV size, parameters of systolic and diastolic function and ventricular-arterial coupling were measured by echocardiography. As advanced indices of myocardial performance, global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS) were obtained. On multivariable analysis, GWI was significantly correlated with GLS (standardized beta-coefficient = -0.23, P < 0.001), ejection fraction (EF) (standardized beta-coefficient = 0.15, P = 0.02), systolic blood pressure (SBP) (standardized beta-coefficient = 0.56, P < 0.001) and GRS (standardized beta-coefficient = 0.19, P = 0.004), while GCW was correlated with GLS (standardized beta-coefficient = -0.55, P < 0.001), SBP (standardized beta-coefficient = 0.71, P < 0.001), GRS (standardized beta-coefficient = 0.11, P = 0.02), and GCS (standardized beta-coefficient = -0.10, P = 0.01). GWE was directly correlated with EF and inversely correlated with Tei index (standardized beta-coefficient = 0.18, P = 0.009 and standardized beta-coefficient = -0.20, P = 0.004, respectively), the opposite occurred for GWW (standardized beta-coefficient =--0.14, P = 0.03 and standardized beta-coefficient = 0.17, P = 0.01, respectively). CONCLUSION: The non-invasive MW indices show a good correlation with traditional 2DE parameters of myocardial systolic function and myocardial strain. Published on behalf of the European Society of Cardiology. All rights reserved.
AIMS: The present study sought to evaluate the correlation between indices of non-invasive myocardial work (MW) and left ventricle (LV) size, traditional and advanced parameters of LV systolic and diastolic function by 2D echocardiography (2DE). METHODS AND RESULTS: A total of 226 (85 men, mean age: 45 ± 13 years) healthy subjects were enrolled at 22 collaborating institutions of the Normal Reference Ranges for Echocardiography (NORRE) study. Global work index (GWI), global constructive work (GCW), global work waste (GWW), and global work efficiency (GWE) were estimated from LV pressure-strain loops using custom software. Peak LV pressure was estimated non-invasively from brachial artery cuff pressure. LV size, parameters of systolic and diastolic function and ventricular-arterial coupling were measured by echocardiography. As advanced indices of myocardial performance, global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS) were obtained. On multivariable analysis, GWI was significantly correlated with GLS (standardized beta-coefficient = -0.23, P < 0.001), ejection fraction (EF) (standardized beta-coefficient = 0.15, P = 0.02), systolic blood pressure (SBP) (standardized beta-coefficient = 0.56, P < 0.001) and GRS (standardized beta-coefficient = 0.19, P = 0.004), while GCW was correlated with GLS (standardized beta-coefficient = -0.55, P < 0.001), SBP (standardized beta-coefficient = 0.71, P < 0.001), GRS (standardized beta-coefficient = 0.11, P = 0.02), and GCS (standardized beta-coefficient = -0.10, P = 0.01). GWE was directly correlated with EF and inversely correlated with Tei index (standardized beta-coefficient = 0.18, P = 0.009 and standardized beta-coefficient = -0.20, P = 0.004, respectively), the opposite occurred for GWW (standardized beta-coefficient =--0.14, P = 0.03 and standardized beta-coefficient = 0.17, P = 0.01, respectively). CONCLUSION: The non-invasive MW indices show a good correlation with traditional 2DE parameters of myocardial systolic function and myocardial strain. Published on behalf of the European Society of Cardiology. All rights reserved.
Authors: Floran Sahiti; Caroline Morbach; Vladimir Cejka; Judith Albert; Felizitas A Eichner; Götz Gelbrich; Peter U Heuschmann; Stefan Störk Journal: Front Cardiovasc Med Date: 2021-06-11