The normal pediatric Frank orthogonal electrocardiogram: influence of weight, height and chest circumference |
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| Authors: | C Hoeven A Robert C Derwael R Fesler L A Brasseur C R Brohet |
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| Institution: | 1. University of Coimbra, Center for Research in Neuropsychology and Cognitive Behavioral Intervention, Faculty of Psychology and Educational Sciences of the University of Coimbra, Coimbra, Portugal;2. Department of Economics and Social Sciences, John Cabot University, Rome, Italy;3. College of Health, Psychology and Social Care, Centre for Compassion Research and Training, University of Derby, Derby, United Kingdom;1. Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, China;2. Big Data Research Lab, University of Waterloo, Ontario, Canada;3. Labor and Worklife Program, Harvard University, MA, United States;4. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China;5. Department of Psychiatry, Tongji Hospital, Tongji University School of Medicine, 389 Xin Cun Road, Shanghai 200065, China;6. Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, China;7. Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China;1. Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, Calif;2. Stanford Cardiovascular Institute, Department of Medicine, Stanford University, Stanford, Calif;3. Department of Clinical Physiology and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden;4. Stanford Sports Cardiology, Stanford University, Stanford, Calif;5. Sport and Exercise Medicine Division, Department of Medicine, University of Padova, Italy;6. Cardiac Insight Inc., Bellevue, Wash |
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| Abstract: | The influence of body weight, height and chest circumference on the pediatric Frank vectorcardiogram (VCG) was investigated in a population of 1317 normal infants, children and adolescents. Simple linear regression analysis showed that 94, 96 and 57 VCG variables were significantly correlated with weight, height and chest circumference, respectively. These numbers were reduced to 10, 18 and 6 VCG variables after a stepwise multiple correlation analysis. The relationship between the VCG and the somatic variables was also studied in ten different age/sex subgroups. Simple regression analysis showed a residual significant correlation between the VCG and all three somatic variables in each group. The multiple correlation analysis allowed us to define a minimum set of VCG variables, from one to six, which could explain all the variation produced by the somatic variables. The coefficient of multiple correlation between VCG and weight was the highest in babies 0 to 6 months old (R = 0.73). For height, the strongest correlation was found in females two to five years old (R = 0.76). In subjects older than two years of age, the correlation between chest circumference and VCG (R = 0.30 to 0.69) was weaker than between VCG and pediatric VCG after stratification for age and sex, especially in the youngest groups. |
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