COMPARISON OF LEFT VENTRICULAR MASS TO LEAN BODY MASS RATIOS IN ENDURANCE ATHLETES

1986 ◽  
Vol 18 (supplement) ◽  
pp. S59
Author(s):  
M. C. Milliken ◽  
R. Peshock ◽  
J. Katz ◽  
J. Stray-Gundersen ◽  
J. H. Mitchell
2018 ◽  
Vol 40 (1) ◽  
pp. 204-208 ◽  
Author(s):  
Hubert Krysztofiak ◽  
Marcel Młyńczak ◽  
Andrzej Folga ◽  
Wojciech Braksator ◽  
Łukasz A. Małek

2020 ◽  
Vol 30 (4) ◽  
pp. 476-481
Author(s):  
James R. Shea ◽  
Melissa H. Henshaw ◽  
Janet Carter ◽  
Shahryar M. Chowdhury

AbstractBackground:Indexing left ventricular mass to body surface area or height2.7 leads to inaccuracies in diagnosing left ventricular hypertrophy in obese children. Lean body mass predictive equations provide the opportunity to determine the utility of lean body mass in indexing left ventricular mass. Our objectives were to compare the diagnostic accuracy of predicted lean body mass, body surface area, and height in detecting abnormal left ventricle mass in obese children.Methods:Obese non-hypertensive patients aged 4–21 years were recruited prospectively. Dual-energy X-ray absorptiometry was used to measure lean body mass. Height, weight, sex, race, and body mass index z-score were used to calculate predicted lean body mass.Results:We enrolled 328 patients. Average age was 12.6 ± 3.8 years. Measured lean body mass had the strongest relationship with left ventricular mass (R2 = 0.84, p < 0.01) compared to predicted lean body mass (R2 = 0.82, p < 0.01), body surface area (R2 = 0.80, p < 0.01), and height2.7 (R2 = 0.65, p < 0.01). Of the clinically derived variables, predicted lean body mass was the only measure to have an independent association with left ventricular mass (β = 0.90, p < 0.01). Predicted lean body mass was the most accurate scaling variable in detecting left ventricular hypertrophy (positive predictive value = 88%, negative predictive value = 99%).Conclusions:Lean body mass is the strongest predictor of left ventricular mass in obese children. Predicted lean body mass is the most accurate anthropometric scaling variable for left ventricular mass in left ventricular hypertrophy detection. Predicted lean body mass should be considered for clinical use as the body size correcting variable for left ventricular mass in obese children.


Circulation ◽  
1995 ◽  
Vol 92 (11) ◽  
pp. 3249-3254 ◽  
Author(s):  
Stephen R. Daniels ◽  
Thomas R. Kimball ◽  
John A. Morrison ◽  
Philip Khoury ◽  
Sandra Witt ◽  
...  

2016 ◽  
Vol 29 (5) ◽  
pp. 441-447.e2 ◽  
Author(s):  
Bethany J. Foster ◽  
Philip R. Khoury ◽  
Thomas R. Kimball ◽  
Andrew S. Mackie ◽  
Mark Mitsnefes

2002 ◽  
Vol 39 ◽  
pp. 237-238
Author(s):  
Jidong Sung ◽  
Anita C. Bacher ◽  
Katherine L. Turner ◽  
Jamie R. DeRegis ◽  
Paul S. Hees ◽  
...  

2014 ◽  
Vol 5 (3) ◽  
pp. 251-252 ◽  
Author(s):  
Alessio Molfino ◽  
Alessia Papa ◽  
Maria L. Gasperini-Zacco ◽  
Maurizio Muscaritoli ◽  
Antonio Amoroso ◽  
...  

Circulation ◽  
1998 ◽  
Vol 98 (23) ◽  
pp. 2538-2544 ◽  
Author(s):  
Jonathan N. Bella ◽  
Richard B. Devereux ◽  
Mary J. Roman ◽  
Michael J. O’Grady ◽  
Thomas K. Welty ◽  
...  

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Hedman ◽  
K J Moneghetti ◽  
D Hsu ◽  
J W Christle ◽  
F Haddad ◽  
...  

Abstract Background The ECG is widely used in pre-participation evaluation (PPE) of athletes (ATH). While it is assumed that greater than normal QRS voltages reflect physiologically increased left ventricular mass (LVM), this has not been adequately demonstrated in ATH. Purpose To examine the relation between QRS voltage on surface ECG and LVM and explore if the distance from the chest wall to mid-LV (CWLVdis) affects QRS voltage in ATH. Methods We examined digitized ECG data and echocardiograms in college ATH, obtained as part of routine PPE in years 2010–16. ECG parameters included R and S-wave voltage components of the Sokolow-Lyon (S-L) and Cornell criteria for LV hypertrophy (i.e. SV1 + RV5-V6 and RaVL + SV3, respectively). Transthoracic 2D echocardiography was used to determine LVM (area-length method) and the CWLVdis (detailed in Fig1A). S-L positive (SV1 + RV5-V6 >35 mV or RaVL >11 mV) ATH were compared to S-L negative by t-test, and univariate correlation and multivariable regression analysis was used to explore independent effects of body characteristics, sex, LVM and CWLVdis on QRS voltage. Results Included were 227 ATH (age 18.6±0.7 yr; 85% male; 60%/33% Caucasian/Afro-american). Of these, 66% played American football, 18% volleyball and 16% basketball. Overall, mean LVM was 174±37 g (range 96–284 g), and BSA-indexed LVM was 78±12 g/m2 (range 49–108 g/m2). Mean CWLVdis was 8.5±1.1 cm (range 5.6–11.3 cm) and was greater in males (p<0.001, Fig1B). Forty-six ATH (24%, all male) were S-L positive and no ATH were positive according to Cornell criteria. S-L positive ATH had lower BMI (25.3±3.5 vs 26.9±4.9, p=0.012), greater absolute LVM (189.1±31.3 vs. 170.1±37.4 g, p=0.002) and greater BSA-indexed LVM (85.3±10.3 vs. 76.6±11.7 g/m2, p<0.001) than S-L negative ATH. The CWLVdis was similar between S-L positive and negative ATH (8.4±1.2 vs. 8.6±1.1, respectively, p=0.213). CWLVdis was more strongly correlated to body mass (r=0.73, p<0.001, Fig. 1C) than to height (r=0.34, p<0.001). LVM correlated weakly to ECG voltage as combined in the S-L or Cornell criteria (Fig. 1C). CWLVdis was weakly correlated with R in aVL, V5 and V6 (r=0.21, 0.16 and 0.16, all p<0.02). In multivariate analysis, male sex (β=0.31), LVM (β=0.45) and body mass index (β=-0.37) were independently associated with the S-L summed voltage (R2 0.26, p<0.001). For Cornell summed voltage, only sex was an independent predictor (β=0.48, R2 0.22, p<001). Figure 1 Conclusion The R and S wave ECG amplitudes used in the two most common ECG criteria for LV hypertrophy were weakly related in the highest to lowest order to sex, LVM, body size and the distance from the LV to the chest wall in our college ATH.


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