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Impact of the dynamic and static component of the sport practised for electrocardiogram analysis in screening athletes

机译:筛选运动员心电图分析实践动态和静态成分的影响

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To interpret the electrocardiogram ( ECG ) of athletes, the recommendations of the ESC and the Seattle criteria define type 1 peculiarities, those induced by training, and type 2, those not induced by training, to rule out cardiomyopathy. The specificity of the screening was improved by Sheikh who defined “Refined Criteria,” which includes a group of intermediate peculiarities. The aim of our study was to investigate the influence of static and dynamic components on the prevalence of different types of abnormalities. The ECG s of 1030 athletes performed during preparticipation screening were interpreted using these three classifications. Our work revealed 62/16%, 69/13%, and 71/7% of type 1 peculiarities and type 2 abnormalities for the ESC , Seattle, and Refined Criteria algorithms, respectively( P .001). For type 2 abnormalities, three independent factors were found for the ESC and Seattle criteria: age, Afro‐Caribbean origin, and the dynamic component with, for the latter, an OR [95% CI ] of 2.35[1.28‐4.33] ( P =.006) and 1.90[1.03‐3.51] ( P =.041), respectively. In contrast, only the Afro‐Caribbean origin was associated with type 2 abnormalities using the Refined Criteria: OR [95% CI ] 2.67[1.60‐4.46] ( P .0001). The Refined Criteria classified more athletes in the type 1 category and fewer in the type 2 category compared with the ESC and Seattle algorithms. Contrary to previous studies, a high dynamic component was not associated with type 2 abnormalities when the Refined Criteria were used; only the Afro‐Caribbean origin remained associated. Further research is necessary to better understand adaptations with regard to duration and thus improve the modern criteria for ECG screening in athletes.
机译:为了解释运动员的心电图(ECG),ESC和西雅图标准的建议定义1型特异性,培训诱导的那些,以及由训练引起的2型,以排除心肌病。 Sheikh的筛选的特异性得到了定义的“精致标准”,其包括一组中间特性。我们的研究目的是探讨静态和动态成分对不同类型异常的患病率的影响。使用这三种分类,解释了在预备筛查期间进行的1030名运动员的ECG S。我们的工作揭示了62/16%,69/13%和71/7%的​​1型特殊性,分别为ESC,西雅图和精制标准算法的2型异常(P <.001)。对于2型异常,为ESC和西雅图标准发现了三个独立因素:年龄,非洲加勒比来源和具有2.35的[95%CI]的年龄,非洲加勒比来源和动态分量[1.28-4.33](P = .006)和1.90 [1.03-3.51](p = .041)。相反,只有使用精细标准的22.67 [1.60-4.46](P& .0001),只有非洲加勒比海原产地与2型异常相关。与ESC和西雅图算法相比,精制标准在1型类别中分类为1类类别,更少的类型类别。与先前的研究相反,当使用精细标准时,高动态组分与类型2异常无关;只有非洲加勒比海的原点仍然相关。进一步的研究是为了更好地了解关于持续时间的适应性,从而改善运动员中的ECG筛选的现代标准。

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