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|Year : 2019
: 12 | Issue : 3 | Page
|Different habitus but similar electrocardiogram: Cardiac repolarization parameters in children – Comparison of elite athletes to obese children
Christian Paech1, Janina Moser1, Ingo Dähnert1, Franziska Wagner1, Roman Antonin Gebauer1, Toralf Kirsten2, Mandy Vogel2, Wieland Kiess2, Antje Körner2, Bernd Wolfarth3, Jan Wüstenfeld3
1 Department for Pediatric Cardiology, University of Leipzig - Heart Center, Leipzig, Germany
2 LIFE Child (Leipzig Research Center for Civilization Diseases), University of Leipzig, Leipzig, Germany
3 University of Leipzig, Institute for Applied Scientific Training, Leipzig, Germany
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|Date of Web Publication||21-Aug-2019|
| Abstract|| |
Introduction: The standard 12-lead electrocardiogram (ECG) remains a widely used tool in the basic cardiac evaluation of children and adolescents. With the emergence of inherited arrhythmia syndromes, the period of cardiac repolarization has been the focus of attention. So far, data on cardiac repolarization and its normal variants in healthy children are scarce. This may cause uncertainties in the differentiation between pathologies and normal variants. As abnormal autonomic regulation seems to be a major influencing factor on cardiac repolarization, this study aimed to evaluate the parameters of cardiac repolarization of children in extremely good physical shape to obese children to improve knowledge about cardiac repolarization in these subgroups of pediatric patients that are vastly affected by the alterations of autonomic regulation.
Methods: A total of 426 pediatric volunteers (84 lean, healthy controls; 130 obese healthy pediatric volunteers; and 212 elite athletes) were enrolled in the study, and the parameters of cardiac repolarization were determined in 12-lead ECG.
Results: Most importantly, there were no pathological findings, neither in the healthy controls nor in the obese or athletes. Athletes showed overall shorter corrected QT intervals than children from the other groups. This is also true if a correction of the QT interval is performed using the Hodges formula to avoid bias due to a tendency to lower heart rates in athletes. Athletes showed the shortest Tpeak-to-end ratios between the groups. The comparison of athletes from primarily strength and power sports versus those from endurance sports showed endurance-trained athletes to have significantly longer QT intervals.
Conclusions: This study suggests that neither obesity nor extensive sports seems to result in pathological cardiac repolarization parameters in healthy children. Therefore, pathology has to be assumed if abnormal repolarization parameters are seen and might not be simply attributed to the child's habitus or an excellent level of fitness.
Keywords: Athlete, cardiac repolarization, children, long QT, obesity
|How to cite this article:|
Paech C, Moser J, Dähnert I, Wagner F, Gebauer RA, Kirsten T, Vogel M, Kiess W, Körner A, Wolfarth B, Wüstenfeld J. Different habitus but similar electrocardiogram: Cardiac repolarization parameters in children – Comparison of elite athletes to obese children. Ann Pediatr Card 2019;12:201-5
|How to cite this URL:|
Paech C, Moser J, Dähnert I, Wagner F, Gebauer RA, Kirsten T, Vogel M, Kiess W, Körner A, Wolfarth B, Wüstenfeld J. Different habitus but similar electrocardiogram: Cardiac repolarization parameters in children – Comparison of elite athletes to obese children. Ann Pediatr Card [serial online] 2019 [cited 2019 Oct 23];12:201-5. Available from: http://www.annalspc.com/text.asp?2019/12/3/201/262868
| Introduction|| |
The standard 12-lead electrocardiogram (ECG) remains a widely used tool in the basic cardiac evaluation of children and adolescents. With the emerging focus of present medicine to the preventive aspect and risk stratification, the inherited arrhythmia syndromes and thereby the period of cardiac repolarization have been the focus of attention.,,,, While the interpretation of cardiac arrhythmias is well established, the period of cardiac repolarization provides more challenges to the physicians.
To date, there are various clearly pathological phenomena of cardiac repolarization reported. Still, the interpretation of repolarization disturbances remains complex, as cardiac repolarization underlies variable influencing factors such as autonomic nervous system regulation. Nevertheless, the clinical consequence of missing or falsely diagnosing a potentially lethal disease as an inherited arrhythmia syndrome such as long QT syndrome demands a distinct differentiation of pathological phenomena and normal variants. Especially in children, data on these phenomena are scarce. In addition, autonomic regulation is more variable in children than that in adults, and hormonal influences during puberty add other influencing factors. While recent studies added some data on normal values of cardiac repolarization in healthy children, the influence of conditions such as obesity or extensive physical fitness remains less defined.,,,,,,,,
The aim of this study is, therefore, to compare the parameters of cardiac repolarization in children at the extremes of physical fitness and to increase knowledge about cardiac repolarization in these subgroups of pediatric patients that are vastly affected by deviations of autonomic regulation.
| Methods|| |
After analysis of the LIFE Child Study at the Leipzig Research Centre for Civilization Diseases (LIFE) from 2011 to 2014 database and the database from the Leipzig Institute for Applied Training Sciences, a total of 426 pediatric volunteers (84 lean, healthy controls; 130 obese healthy pediatric volunteers; and 212 elite athletes) were enrolled in the study. All participants underwent a thorough cardiac evaluation including medical history, physical examination, anthropometric evaluation, 12-lead ECG, echocardiography, and blood samples. Written consent of the parents was obtained with inclusion into the study.
Childhood obesity was classified as adjusted body mass index (BMI) >1.28 standard deviation score (SDS), and children with an adjusted BMI ≤1.28 were classified as lean.
Children and adolescents were considered as elite athletes, if being either part of a German youth national team or equivalent in their specific sports.
All anthropometric parameters were adjusted for age and sex, based on the national reference values of German children from Kromeyer-Hauschild et al. (2001) and accordingly were presented in SDS. Participants were stratified into overweight/obese and lean children applying an adjusted BMI 1.28/1.88 SDS as a cutoff according to the current German guidelines.
For each child, a 12-lead ECG was recorded using an electrocardiograph (General Electrics, MAC 5000). The frequency response of this recorder is flat to 150 Hz. A paper speed of 50 mm/s and amplitude of 10 mm/mV was used. The same technician recorded the ECGs throughout the study.
All ECGs were anonymized by pseudonymization and analyzed by two physicians with extensive experience in the analysis of pediatric ECGs. Both physicians had no access to demographic or clinical data.
Parameters of cardiac repolarization were measured in leads II and V5 of a standard 12-lead ECG. All parameters were determined from the measurements of at least six consecutive beats in lead II and V5. Minimum, maximum, and average values were acquired. Tpeak to end (TPE) was measured in milliseconds from the peak of the T wave to the end of the T wave. The end of the T wave was defined as the return of the descending limb to the TP baseline when not followed by a U wave or if distinct from following the U wave. If there was a terminal low-amplitude signal interrupting the terminal portion of the T wave, the downslope of the T wave was extended by drawing a tangent to the steepest proportion of the downslope until it crosses the TP segment to determine the end of the T wave. The QT interval was then corrected for heart rate using the Bazett's formula (QT/√RR) (QTc) and in addition the Hodges's formula in patients with a resting heart rate below 50 bpm as suggested in literature.,, The RR interval was measured in seconds and taken as the immediate RR interval preceding the TPE interval from the same lead, in which the TPE interval was measured. QT dispersion was calculated as the difference between maximum and minimum QT interval within the measurement of six consecutive beats.
Statistical analysis was carried out with SPSS 21.0 software (SPSS Statistics, IBM, Ehningen, Germany). Continuous data were assessed for normality, and the Student's t-test was used for normally distributed data. To characterize the influence between continuous variables, bivariate correlation was used, and the Pearson's correlation coefficient (r) was reported. For this study, α was set at 0.05; thus, P < 0.05 (two-sided) was considered statistically significant.
| Results|| |
[Table 1] shows the patients' basic characteristics of the stratified groups: lean, overweight/obese, and elite athletes including anthropometric data. All patients had structurally normal hearts in echocardiography.
Parameters of cardiac repolarization
[Table 2] shows the parameters of cardiac repolarization of the three groups: lean, overweight/obese, and athletes. Although there were significant differences between the groups, no pathological findings were recorded. First of all, there is a trend toward shorter corrected QT intervals in athletes despite insignificant differences in average absolute QT intervals. This is also true if a correction of the QT interval is performed using the Hodges's formula to avoid bias due to a tendency to lower heart rates in athletes. Second, athletes showed statistically significant shorter TPE ratios compared to the other groups, albeit clinically probably not leading to a significant difference.
Comparison of athletes from strength and power sports versus athletes from endurance sports
[Table 3] shows the comparison of sportsmen from strength and power sports versus endurance sports. As expected, the different physiognomy can be seen in the anthropometric data. Comparing the absolute QT intervals of both groups, endurance-trained athletes tend to have significantly longer QT intervals. When the QT intervals are corrected for heart rate, this effect persisted only in the corrections using the Hodges's formula and was not found to be statistically significant when using the common Bazett's formula. There were no statistically significant differences in the parameters of cardiac inhomogeneity (TPE) between the groups.
|Table 3: Parameters of cardiac repolarization in athletes - endurance versus strength and power sports|
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| Discussion|| |
The current study evaluated the influence of obesity and extreme physical fitness on parameters of cardiac repolarization in children. The results of the current study demonstrate one major finding. In this pool of otherwise healthy children, there were no pathological phenomena of cardiac repolarization, neither in the group of elite athletes nor in the group of obese patients or healthy controls.
Yet, data analysis showed significant differences from the literature in adults.
First of all, the data showed no lengthening of the QT or corrected QT interval in elite athletes compared to lean probands. This finding stands in contrast to the findings in literature concerning adults.,,,, To rule out the Bazett's formula for the correction of QT interval in the group of elite athletes with generally lower heart rates as a possible bias, we compared the results to a correction with the Hodges's formula that might be less biased by lower heart rates. The results were independent from the formula used for the correction of QT interval to the heart rate. As reported by D'Ascenzi et al., the reason for this incoherence of pediatric data with data from adult patient collectives may be because puberty seems to be a strong influencing factor regarding QT interval prolongation. This might explain why these changes are probably not yet reported in adolescents, but may develop in adult athletes. In addition, it may be speculated that physical adaption to extensive sports is not fully developed in adolescence, and the full effects of physical adaption will only be present in adulthood.
Second, the overall data demonstrated the longest corrected QT intervals in obese patients, as has been demonstrated in studies before., Those studies reported an increased parasympathetic tone in obese patients and the hormonal activity of body fat deposits as causative mechanisms. Particularly, the hormonal activity of body fat leads to elevated estrogen levels which are assumed to promote QT interval prolongation. As this finding might not be unexpected, it gives some hints to the etiology of QT interval prolongation in children. Both athletes and obese children are supposed to have a rather increased parasympathetic tone, often referred to as a possible influencing factor for QT interval prolongation. Nevertheless, the presented cohort showed relatively long QT intervals in the obese and relatively short QT intervals in the athletes, making the basic parasympathetic tone a rather minor influencing factor in children.
When looking at the parameters of cardiac electrical inhomogeneity, there are only minor differences between the groups. In particular, there were no statistically significant differences between athletes and lean probands. Taking a closer look at the group of obese patients, statistically significant changes in the parameters of cardiac electrical inhomogeneity (TPE interval) could be demonstrated. Primarily implying a possibly elevated risk for cardiac arrhythmia, the actual data, although statistically significant, demonstrate only differences of a few milliseconds that are rather unlikely to represent a parameter of clinical significance or to conclude on an elevated arrhythmogenic risk. Yet, some more data are needed for an appropriate evaluation of this topic.
| Conclusion|| |
This study suggests that neither obesity nor extensive sports seems to result in pathological cardiac repolarization parameters in healthy children. Therefore, pathology has to be assumed if abnormal repolarization parameters are seen and might not be simply attributed to the child's habitus or an excellent level of fitness.
The main limitation of this study is the difference in median ages between the groups. As the parameters of cardiac repolarization might be influenced by puberty, this might have an effect on the reported data. Yet, with patients of the lean control group being the youngest, a possible age-related effect on parameters of cardiac repolarization should only be important if pathological parameters would have been found in the older participants of the two other groups.]
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Nishijima DK, Lin AL, Weiss RE, Yagapen AN, Malveau SE, Adler DH, et al.
ECG predictors of cardiac arrhythmias in older adults with syncope. Ann Emerg Med 2018;71:452-61.e3.
Kohno R, Abe H, Benditt DG. Ambulatory electrocardiogram monitoring devices for evaluating transient loss of consciousness or other related symptoms. J Arrhythm 2017;33:583-9.
White RD, Flaker G. Smartphone-based arrhythmia detection: Should we encourage patients to use the ECG in their pocket? J Atr Fibrillation 2017;9:1605.
Shi S, Barajas-Martinez H, Liu T, Sun Y, Yang B, Huang C, et al.
Prevalence of spontaneous Brugada ECG pattern recorded at standard intercostal leads: A meta-analysis. Int J Cardiol 2018;254:151-6.
Leong KM, Ng FS, Roney C, Cantwell C, Shun-Shin MJ, Linton NW, et al.
Repolarization abnormalities unmasked with exercise in sudden cardiac death survivors with structurally normal hearts. J Cardiovasc Electrophysiol 2018;29:115-26.
Preßler A, Halle M. ECG diagnostics in competitive athletes. Current implications for preparticipation screening. Herz 2012;37:474-84.
Pelliccia A, Di Paolo FM, Quattrini FM, Basso C, Culasso F, Popoli G, et al.
Outcomes in athletes with marked ECG repolarization abnormalities. N Engl J Med 2008;358:152-61.
Serra-Grima R, Doñate M, Álvarez-García J, Barradas-Pires A, Ferrero A, Carballeira L, et al.
Long-term follow-up of early repolarization pattern in elite athletes. Am J Med 2015;128:192.e1-9.
Zorzi A, Leoni L, Di Paolo FM, Rigato I, Migliore F, Bauce B, et al.
Differential diagnosis between early repolarization of athlete's heart and coved-type Brugada electrocardiogram. Am J Cardiol 2015;115:529-32.
Grazioli G, Sanz M, Montserrat S, Vidal B, Sitges M. Echocardiography in the evaluation of athletes. F1000Res 2015;4:151.
Corrado D, Pelliccia A, Heidbuchel H, Sharma S, Link M, Basso C, et al.
Recommendations for interpretation of 12-lead electrocardiogram in the athlete. Eur Heart J 2010;31:243-59.
D'Ascenzi F, Solari M, Anselmi F, Valentini F, Barbati R, Palmitesta P, et al.
Electrocardiographic changes induced by endurance training and pubertal development in male children. Am J Cardiol 2017;119:795-801.
Paech C, Liebold A, Gebauer RA, Wagner F, Vogel M, Kirsten T, et al
. Relative QT interval prolongation and electrical inhomogeneity of cardiac repolarization in childhood obesity. Prog Pediatr Cardiol 2017;47:64-7.
Paech C, Anhalt M, Gebauer RA, Wagner F, Vogel M, Kirsten T, et al
. New normal limits for pediatric ECG in childhood obesity? Influence of childhood obesity on the ECG. Prog Pediatr Cardiol 2018;48:119-23.
Poulain T, Baber R, Vogel M, Pietzner D, Kirsten T, Jurkutat A, et al.
The LIFE child study: A population-based perinatal and pediatric cohort in Germany. Eur J Epidemiol 2017;32:145-58.
Kromeyer-Hauschild K, Wabitsch M, Kunze D. Percentile for body-mass index in children and adolescentes from several samples in Germany. Monatsschr Kinderheilkd 2001;149:807-18.
Rücklová K, Koubský K, Tomek V, Kubuš P, Janoušek J. Prolonged repolarization in atrial septal defect: An example of mechanoelectrical feedback due to right ventricular volume overload. Heart Rhythm 2016;13:1303-8.
Luo S, Michler K, Johnston P, Macfarlane PW. A comparison of commonly used QT correction formulae: The effect of heart rate on the QTc of normal ECGs. J Electrocardiol 2004;37 Suppl: 81-90.
Hodges M, Salerno D, Erlien D. Bazett's QT correction reviewed. Evidence that a linear QT correction for heart is better. J Am Coll Cardiol 1983;1:694.
Castro-Torres Y, Carmona-Puerta R, Katholi RE. Ventricular repolarization markers for predicting malignant arrhythmias in clinical practice. World J Clin Cases 2015;3:705-20.
Lengyel C, Orosz A, Hegyi P, Komka Z, Udvardy A, Bosnyák E, et al.
Increased short-term variability of the QT interval in professional soccer players: Possible implications for arrhythmia prediction. PLoS One 2011;6:e18751.
Lawan A, Ali MA, Dan-Bauchi SS. QT dispersion in dynamic and static group of athletes. Niger J Physiol Sci 2006;21:5-8.
Kasikcioglu E, Kayserilioglu A, Yildiz S, Akhan H, Cuhadaroglu C. Qt Dispersion in soccer players during exercise testing. Int J Sports Med 2004;25:177-81.
Misigoj-Durakovic M, Durakovic Z, Prskalo I. Heart rate-corrected QT and JT intervals in electrocardiograms in physically fit students and student athletes. Ann Noninvasive Electrocardiol 2016;21:595-603.
Dr. Christian Paech
Department for Pediatric Cardiology, University of Leipzig - Heart Center, Strümpellstr 39, 04289 Leipzig,
Source of Support: None, Conflict of Interest: None
[Table 1], [Table 2], [Table 3]