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1.
Phys Sportsmed ; 49(1): 37-44, 2021 02.
Artículo en Inglés | MEDLINE | ID: mdl-32281468

RESUMEN

Introduction: To determine clinical parameters that are related to abnormal cardiac symptoms in physically active youth. Methods: We used Simon's Heart Heartbytes National Youth Cardiac Registry to collect data from adolescent athletes in southeastern Pennsylvania. We collected age, race/ethnicity, abnormal cardiac symptoms, medical history, medication use, caffeine intake, and family history. We obtained height, weight, blood pressure, cardiac murmur findings, and ECGs. Echocardiogram was obtained if necessary. Binary logistic regression analysis was performed to identify independent associations between abnormal cardiac symptoms and collected variables. The odds ratio (OR), 95% confidence interval (95% CI), and p-values were used as statistical values. Results: Of the 887 athletes (543 males and 344 females, age = 16.9 ± 2.1 years, height = 166.9 ± 11.4 cm, weight = 62.0 ± 16.0 kg), 186 (21%) had abnormal cardiac symptoms including chest pain, passing out, difficulty breathing, extreme fatigue, and heart race. There was an independent association between abnormal symptoms and a past medical history (OR: 4.77, 95%CI: 3.18, 7.17, p = 0.001) and medication use (OR: 1.74, 95%CI: 1.08, 2.79, p = 0.022). In medical history, young athletes with asthma showed a greater propensity of abnormal cardiac symptoms (48.9%) compared to young athletes without (14.0%, p = 0.001). Additionally, young athletes with anxiety or depression demonstrated a higher proportion of abnormal cardiac symptoms (48.9%) than those without (19.5%, p = 0.001). Although the association between the presence of abnormal symptoms and African-American race (OR: 2.04, 95%CI: 0.96, 4.35, p = 0.065) and average daily consumption of at least 2 caffeine drinks (OR: 2.08, 95%CI: 0.86, 5.02, p = 0.103) were not significant, there was a trend to reach the a priori significance level. Conclusions: This study identified several clinical parameters that are associated with symptoms suggestive of abnormal cardiac conditions. Larger studies need to be done to better sort out the clinical history that may contribute to false positives to further reduce false positives at heart screenings.


Asunto(s)
Cardiopatías/diagnóstico , Sistema de Registros , Deportes Juveniles , Adolescente , Ansiedad , Arritmias Cardíacas/diagnóstico , Arritmias Cardíacas/etiología , Asma/complicaciones , Dolor en el Pecho/diagnóstico , Dolor en el Pecho/etiología , Depresión , Disnea/diagnóstico , Disnea/etiología , Ecocardiografía , Electrocardiografía , Femenino , Cardiopatías/complicaciones , Cardiopatías/diagnóstico por imagen , Cardiopatías/psicología , Humanos , Masculino , Tamizaje Masivo/métodos , Anamnesis , Deportes Juveniles/psicología
2.
J Electrocardiol ; 60: 98-101, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32339816

RESUMEN

BACKGROUND: Screening electrocardiography (ECG) for athletes is both controversial and rapidly evolving. While identifying an abnormal ECG could detect a serious cardiovascular disease, falsely interpreting a benign ECG pattern as abnormal can lead to unnecessary testing, cost, and anxiety. Though recent refinements of athlete screening ECG criteria have significantly improved its accuracy, in clinical practice physician adherence to these criteria may vary. METHODS: We analyzed physician adherence to contemporary athlete ECG criteria in a large, national athlete screening registry. 1577 consecutive screening ECGs were independently re- interpreted to assess for physician adherence to Seattle Criteria or International Criteria, respective to the criteria in place when the screening was performed. We further determined the most common ECG interpretations that deviated from these criteria, and analyzed physician characteristics for independent predictors of adherence to published ECG criteria. RESULTS: Though overall adherence to contemporary criteria was high, 60.4% of ECGs interpreted as abnormal did not meet athlete ECG criteria for pathology when independently re- read. The most common ECG patterns misinterpreted as abnormal were isolated left ventricular hypertrophy (LVH) and non-pathologic T-wave inversions (TWI). Multivariate regression identified three independent predictors of adherence to athlete ECG criteria: participating in a screening overseen by the organization's medical leadership, electrophysiology specialists and adult cardiologists. CONCLUSION: This study highlights the need for quality control measures and continued clinician education in a controversial and rapidly evolving field. Clinician education for athlete screening ECG criteria should emphasize the recent changes in how TWI and LVH voltage criteria should be interpreted in this patient population.


Asunto(s)
Electrocardiografía , Médicos , Adolescente , Adulto , Arritmias Cardíacas , Atletas , Muerte Súbita Cardíaca , Humanos , Tamizaje Masivo
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