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EKG ABNORMALITIES DISTRIBUTION BETWEEN COMPETITIVE ATHLETES, NON COMPETITIVE ATHLETES AND NON ATHLETES IN A POPULATION OF 12,000 YOUNG ITALIAN STUDENTS
376 JACC March 21, 2017 Volume 69, Issue 11
Arrhythmias and Clinical EP EKG ABNORMALITIES DISTRIBUTION BETWEEN COMPETITIVE ATHLETES, NON COMPETITIVE ATHLETES AND NON ATHLETES IN A POPULATION OF 12,000 YOUNG ITALIAN STUDENTS Poster Contributions Poster Hall, Hall C Friday, March 17, 2017, 10:00 a.m.-10:45 a.m. Session Title: Improving Outcomes in the Athlete With Cardiovascular Disease Abstract Category: 7. Arrhythmias and Clinical EP: Sports and Exercise Presentation Number: 1111-112 Authors: Antonio Fusto, Paola Scarparo, Alessandra Cinque, Francesco Adamo, Nicolo’ Salvi, Mariateresa Pucci, Gianluca Agnes, Pasqualina Bruno, Maria Chiara Gatto, Ilaria Mancini, Giammarco Schiaffini, Maria Giovanna Vassallo, Alessandra D’Ambrosi, Danilo Alunni Fegatelli, Annarita Vestri, Massimo Mancone, Francesco Fedele, Sapienza University of Rome, Rome, Italy Background: The European Society of Cardiology recommends cardiovascular screening to competitive athletes. In young population the execution of 12-lead ECG screening is still controversial. The aim of our study is to evaluate the distribution of ECG abnormalities between competitive athletes, non competitive athletes and non athletes. Methods: From October 2010 to October 2015, we evaluated prospectively 11916 high school students (age 17.2 ± 2.4 years old; 45.9% male): 4533 (38.04 %) non athletes (G-A), 4936 (41.42 %) non competitive athletes (G-B) and 2447 (20.54%) competitive athletes (G-C). They were screened using 12-lead ECG.The statistical difference was considered significant only for p-value ≤ 0.05.
Results: We found a significant statistical difference between distributions of ECG abnormalities in three groups, particularly Brugada like ECG pattern, short PQ interval, premature ventricular contraction, left atrial enlargement are more common in G-A then in the other groups. No significant statistical difference was found for the other abnormal ECG findings. As expected, typical sport related ECG findings (sinus bradycardia and early repolarization) are prevalent in G-C than others. Conclusions: Our results evidence that the distribution of ECG abnormalities between three groups is similar or higher in non athletes group. Non athletes have high rate of abnormal ECG; this suggest that an ECG screening is recommended also in non athletes.
Arrhythmias and Clinical EP EKG ABNORMALITIES DISTRIBUTION BETWEEN COMPETITIVE ATHLETES, NON COMPETITIVE ATHLETES AND NON ATHLETES IN A POPULATION OF 12,000 YOUNG ITALIAN STUDENTS Poster Contributions Poster Hall, Hall C Friday, March 17, 2017, 10:00 a.m.-10:45 a.m. Session Title: Improving Outcomes in the Athlete With Cardiovascular Disease Abstract Category: 7. Arrhythmias and Clinical EP: Sports and Exercise Presentation Number: 1111-112 Authors: Antonio Fusto, Paola Scarparo, Alessandra Cinque, Francesco Adamo, Nicolo’ Salvi, Mariateresa Pucci, Gianluca Agnes, Pasqualina Bruno, Maria Chiara Gatto, Ilaria Mancini, Giammarco Schiaffini, Maria Giovanna Vassallo, Alessandra D’Ambrosi, Danilo Alunni Fegatelli, Annarita Vestri, Massimo Mancone, Francesco Fedele, Sapienza University of Rome, Rome, Italy Background: The European Society of Cardiology recommends cardiovascular screening to competitive athletes. In young population the execution of 12-lead ECG screening is still controversial. The aim of our study is to evaluate the distribution of ECG abnormalities between competitive athletes, non competitive athletes and non athletes. Methods: From October 2010 to October 2015, we evaluated prospectively 11916 high school students (age 17.2 ± 2.4 years old; 45.9% male): 4533 (38.04 %) non athletes (G-A), 4936 (41.42 %) non competitive athletes (G-B) and 2447 (20.54%) competitive athletes (G-C). They were screened using 12-lead ECG.The statistical difference was considered significant only for p-value ≤ 0.05.
Results: We found a significant statistical difference between distributions of ECG abnormalities in three groups, particularly Brugada like ECG pattern, short PQ interval, premature ventricular contraction, left atrial enlargement are more common in G-A then in the other groups. No significant statistical difference was found for the other abnormal ECG findings. As expected, typical sport related ECG findings (sinus bradycardia and early repolarization) are prevalent in G-C than others. Conclusions: Our results evidence that the distribution of ECG abnormalities between three groups is similar or higher in non athletes group. Non athletes have high rate of abnormal ECG; this suggest that an ECG screening is recommended also in non athletes.