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https://hdl.handle.net/2440/138061
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Type: | Journal article |
Title: | Relating QRS voltages to left ventricular mass and body composition in elite endurance athletes |
Author: | De Bosscher, R. Moeyersons, J. Dausin, C. Claeys, M. Janssens, K. Claus, P. Goetschalckx, K. Bogaert, J. Van De Heyning, C.M. Paelinck, B. Sanders, P. Kalman, J. Van Huffel, S. Varon, C. La Gerche, A. Heidbuchel, H. Claessen, G. Willems, R. Van Soest, S. Hespel, P. et al. |
Citation: | European Journal of Applied Physiology, 2022; 123(3):547-559 |
Publisher: | Springer Science and Business Media LLC |
Issue Date: | 2022 |
ISSN: | 1439-6319 1439-6327 |
Statement of Responsibility: | Ruben De Bosscher, Jonathan Moeyersons, Christophe Dausin, Mathias Claeys, Kristel Janssens, Piet Claus, Kaatje Goetschalckx, Jan Bogaert, Caroline M. Van De Heyning, Bernard Paelinck, Prashanthan Sanders, Jonathan Kalman, Sabine Van Hufel, Carolina Varon, André La Gerche, Hein Heidbuchel, Guido Claessen, Rik Willems, on behalf of the Pro@Heart consortium |
Abstract: | Purpose: Electrocardiogram (ECG) QRS voltages correlate poorly with left ventricular mass (LVM). Body composition explains some of the QRS voltage variability. The relation between QRS voltages, LVM and body composition in endurance athletes is unknown. Methods: Elite endurance athletes from the Pro@Heart trial were evaluated with 12-lead ECG for Cornell and Sokolow-Lyon voltage and product. Cardiac magnetic resonance imaging assessed LVM. Dual energy x-ray absorptiometry assessed fat mass (FM) and lean mass of the trunk and whole body (LBM). The determinants of QRS voltages and LVM were identifed by multivariable linear regression. Models combining ECG, demographics, DEXA and exercise capacity to predict LVM were developed. Results: In 122 athletes (19 years, 71.3% male) LVM was a determinant of the Sokolow-Lyon voltage and product (β=0.334 and 0.477, p<0.001) but not of the Cornell criteria. FM of the trunk (β=− 0.186 and − 0.180, p<0.05) negatively infuenced the Cornell voltage and product but not the Sokolow-Lyon criteria. DEXA marginally improved the prediction of LVM by ECG (r=0.773 vs 0.510, p<0.001; RMSE=18.9±13.8 vs 25.5±18.7 g, p>0.05) with LBM as the strongest predictor (β=0.664, p<0.001). DEXA did not improve the prediction of LVM by ECG and demographics combined and LVM was best predicted by including VO2max (r=0.845, RMSE=15.9±11.6 g). Conclusion: LVM correlates poorly with QRS voltages with adipose tissue as a minor determinant in elite endurance athletes. LBM is the strongest single predictor of LVM but only marginally improves LVM prediction beyond ECG variables. In endurance athletes, LVM is best predicted by combining ECG, demographics and VO2max. |
Keywords: | Athlete; Cardiac magnetic resonance imaging; Electrocardiogram; Left ventricular mass; Dual X-ray absorptiometry |
Rights: | © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 |
DOI: | 10.1007/s00421-022-05080-5 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/1130353 |
Published version: | http://dx.doi.org/10.1007/s00421-022-05080-5 |
Appears in Collections: | Medicine publications |
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