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Myocardial Work in Athletes: A Novel Approach to Differentiate Athletic Heart Adaptations from Cardiomyopathy?
Session:
Sessão de Posters 05 - Ecocardiografia
Speaker:
António Baptista Carvalho
Congress:
CPC 2024
Topic:
B. Imaging
Theme:
03. Imaging
Subtheme:
03.1 Echocardiography
Session Type:
Cartazes
FP Number:
---
Authors:
António Baptista Carvalho; Rita Rodrigues; Rita Gomes; Rita Santos; Lígia Mendes
Abstract
<p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-family:"Arial Nova Cond Light",sans-serif"><strong>Background:</strong> The study of the athlete's heart due to the physiological adaptations resulting from exercise can be very challenging since several characteristics can be overlapping with those of cardiomyopathies. Initially, the study of deformation was received with great enthusiasm as a potential differentiating parameter, but it was quickly realized that the higher athletes’ ventricles volumes have low strains due to the geometry of the chamber. More recently, a non-invasive myocardial work study tool has emerged, integrating load and deformation. The aim of this study is to determine the additional value of the Myocardial Work indices determined by echo in the study of the athlete's heart.</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-family:"Arial Nova Cond Light",sans-serif"><strong>Methods:</strong> Were retrospectively included 121 male soccer players from the first national league (class IC of Mitchell classification), a non-invasive analysis of the myocardial mechanics recurring to myocardial strain and myocardial work using a GE Vivid E95 echocardiographic ultrasound system and a commercially available software (EchoPAC V.204, GE Vingmed Ultrasound AS, Horten, Norway). Categorical variables are presented as percentages and continuous variables as means and standard deviations. The statistically analysis was performed on SPSS v.27.</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-family:"Arial Nova Cond Light",sans-serif"><strong>Results:</strong> For the athletes group, the median of age was 24 (21-31) years and the median body mass index was 23 (22,2-24,0) kg/m<sup>2</sup>. The median of systolic blood pressure was 118 (108-125) mmHg and the diastolic blood pressure was 66 (52-76) mmHg. Results in table 1. </span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-family:"Arial Nova Cond Light",sans-serif">Compared to a control group of healthy individuals, our athletes exhibited lower Global Longitudinal Strain (GLS), Global Work Index (GWI), and Global Constructive Work (GCW), while maintaining equivalent levels of Global Work Efficiency (GWE) and Global Wasting Work (GWW).</span></span></span></p> <p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-family:"Arial Nova Cond Light",sans-serif"><strong>Conclusion:</strong> </span></span></span><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-family:"Arial Nova Cond Light",sans-serif">In elite athletes, GLS, GWI, and GCW are lower compared to the general population, while GWE and GWW remain equivalent. GWE emerges as a potentially promising parameter for differentiating between normal physiological adaptations and pathology in athletes.</span></span></span></p> <div> <div> </div> </div>
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