Jihyun Park, Chieko Kimata, Justin Young, James C Perry, Andras Bratincsak
{"title":"微调年轻运动员的心电图解读:利用基于 Z 值的分析进行心电图筛查","authors":"Jihyun Park, Chieko Kimata, Justin Young, James C Perry, Andras Bratincsak","doi":"10.1186/s40798-024-00775-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Electrocardiograms (ECGs) in athletes commonly reveal findings related to physiologic adaptations to exercise, that may be difficult to discern from true underlying cardiovascular abnormalities. North American and European societies have published consensus statements for normal, borderline, and abnormal ECG findings for athletes, but these criteria are not based on established correlation with disease states. Additionally, data comparing ECG findings in athletes to non-athlete control subjects are lacking. Our objective was to compare the ECGs of collegiate athletes and non-athlete controls using Z-scores for digital ECG variables to better identify significant differences between the groups and to evaluate the ECG variables in athletes falling outside the normal range.</p><p><strong>Methods: </strong>Values for 102 digital ECG variables on 7206 subjects aged 17-22 years, including 672 athletes, from Hawaii Pacific Health, University of Hawaii, and Rady Children's Hospital San Diego were obtained through retrospective review. Age and sex-specific Z-scores for ECG variables were derived from normal subjects and used to assess the range of values for specific ECG variables in young athletes. Athletes with abnormal ECGs were referred to cardiology consultation and/or echocardiogram.</p><p><strong>Results: </strong>Athletes had slower heart rate, longer PR interval, more rightward QRS axis, longer QRS duration but shorter QTc duration, larger amplitude and area of T waves, prevalent R' waves in V1, and higher values of variables traditionally associated with left ventricular hypertrophy (LVH): amplitudes of S waves (leads V1-V2), Q waves (V6, III) and R waves (II, V5, V6). Z-scores of these ECG variables in 558 (83%) of the athletes fell within - 2.5 and 2.5 range derived from the normal population dataset, and 60 (8.9%) athletes had a Z-score outside the - 3 to 3 range. While 191 (28.4%) athletes met traditional voltage criteria for diagnosis of LVH on ECG, only 53 athletes (7.9%) had Z-scores outside the range of -2.5 to 2.5 for both S amplitude in leads V1-V2 and R amplitude in leads V5-6. Only one athlete was diagnosed with hypertrophic cardiomyopathy with a Z-score of R wave in V6 of 2.34 and T wave in V6 of -5.94.</p><p><strong>Conclusion: </strong>The use of Z-scores derived from a normal population may provide more precise screening to define cardiac abnormalities in young athletes and reduce unnecessary secondary testing, restrictions and concern.</p>","PeriodicalId":21788,"journal":{"name":"Sports Medicine - Open","volume":"10 1","pages":"114"},"PeriodicalIF":4.1000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11499507/pdf/","citationCount":"0","resultStr":"{\"title\":\"Fine Tuning ECG Interpretation for Young Athletes: ECG Screening Using Z-score-based Analysis.\",\"authors\":\"Jihyun Park, Chieko Kimata, Justin Young, James C Perry, Andras Bratincsak\",\"doi\":\"10.1186/s40798-024-00775-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Electrocardiograms (ECGs) in athletes commonly reveal findings related to physiologic adaptations to exercise, that may be difficult to discern from true underlying cardiovascular abnormalities. North American and European societies have published consensus statements for normal, borderline, and abnormal ECG findings for athletes, but these criteria are not based on established correlation with disease states. Additionally, data comparing ECG findings in athletes to non-athlete control subjects are lacking. Our objective was to compare the ECGs of collegiate athletes and non-athlete controls using Z-scores for digital ECG variables to better identify significant differences between the groups and to evaluate the ECG variables in athletes falling outside the normal range.</p><p><strong>Methods: </strong>Values for 102 digital ECG variables on 7206 subjects aged 17-22 years, including 672 athletes, from Hawaii Pacific Health, University of Hawaii, and Rady Children's Hospital San Diego were obtained through retrospective review. Age and sex-specific Z-scores for ECG variables were derived from normal subjects and used to assess the range of values for specific ECG variables in young athletes. Athletes with abnormal ECGs were referred to cardiology consultation and/or echocardiogram.</p><p><strong>Results: </strong>Athletes had slower heart rate, longer PR interval, more rightward QRS axis, longer QRS duration but shorter QTc duration, larger amplitude and area of T waves, prevalent R' waves in V1, and higher values of variables traditionally associated with left ventricular hypertrophy (LVH): amplitudes of S waves (leads V1-V2), Q waves (V6, III) and R waves (II, V5, V6). Z-scores of these ECG variables in 558 (83%) of the athletes fell within - 2.5 and 2.5 range derived from the normal population dataset, and 60 (8.9%) athletes had a Z-score outside the - 3 to 3 range. While 191 (28.4%) athletes met traditional voltage criteria for diagnosis of LVH on ECG, only 53 athletes (7.9%) had Z-scores outside the range of -2.5 to 2.5 for both S amplitude in leads V1-V2 and R amplitude in leads V5-6. Only one athlete was diagnosed with hypertrophic cardiomyopathy with a Z-score of R wave in V6 of 2.34 and T wave in V6 of -5.94.</p><p><strong>Conclusion: </strong>The use of Z-scores derived from a normal population may provide more precise screening to define cardiac abnormalities in young athletes and reduce unnecessary secondary testing, restrictions and concern.</p>\",\"PeriodicalId\":21788,\"journal\":{\"name\":\"Sports Medicine - Open\",\"volume\":\"10 1\",\"pages\":\"114\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2024-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11499507/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sports Medicine - Open\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s40798-024-00775-9\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sports Medicine - Open","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40798-024-00775-9","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
背景:运动员的心电图(ECG)通常显示出与运动生理适应有关的结果,这些结果可能很难与真正的潜在心血管异常相鉴别。北美和欧洲协会已就运动员的正常、边缘和异常心电图结果发表了共识声明,但这些标准并非基于与疾病状态的既定相关性。此外,还缺乏将运动员和非运动员对照组的心电图结果进行比较的数据。我们的目的是使用数字心电图变量的 Z 值对大学生运动员和非运动员对照组的心电图进行比较,以更好地确定组间的显著差异,并评估超出正常范围的运动员心电图变量:通过回顾性审查获得了夏威夷太平洋健康中心、夏威夷大学和圣地亚哥雷迪儿童医院 7206 名 17-22 岁受试者(包括 672 名运动员)的 102 个数字心电图变量值。心电图变量的年龄和性别特异性 Z 值来自正常受试者,并用于评估年轻运动员特定心电图变量的数值范围。心电图异常的运动员将被转诊至心脏科会诊和/或接受超声心动图检查:运动员的心率较慢,PR 间期较长,QRS 轴更偏右,QRS 持续时间较长,但 QTc 持续时间较短,T 波的振幅和面积较大,V1 波中的 R'波普遍存在,传统上与左心室肥厚(LVH)相关的变量值较高:S 波(V1-V2 导联)、Q 波(V6、III)和 R 波(II、V5、V6)的振幅。558名(83%)运动员的这些心电图变量的Z值在正常人群数据集得出的-2.5和2.5范围内,60名(8.9%)运动员的Z值在-3至3范围之外。虽然有 191 名(28.4%)运动员的心电图符合诊断左心室肥厚的传统电压标准,但只有 53 名(7.9%)运动员 V1-V2 导联的 S 波幅和 V5-6 导联的 R 波幅的 Z 值均在-2.5 至 2.5 范围之外。只有一名运动员被诊断为肥厚型心肌病,其 V6 导联 R 波的 Z 值为 2.34,V6 导联 T 波的 Z 值为 -5.94:使用从正常人群中得出的 Z 值可提供更精确的筛查,以确定年轻运动员的心脏异常,并减少不必要的二次检查、限制和担忧。
Fine Tuning ECG Interpretation for Young Athletes: ECG Screening Using Z-score-based Analysis.
Background: Electrocardiograms (ECGs) in athletes commonly reveal findings related to physiologic adaptations to exercise, that may be difficult to discern from true underlying cardiovascular abnormalities. North American and European societies have published consensus statements for normal, borderline, and abnormal ECG findings for athletes, but these criteria are not based on established correlation with disease states. Additionally, data comparing ECG findings in athletes to non-athlete control subjects are lacking. Our objective was to compare the ECGs of collegiate athletes and non-athlete controls using Z-scores for digital ECG variables to better identify significant differences between the groups and to evaluate the ECG variables in athletes falling outside the normal range.
Methods: Values for 102 digital ECG variables on 7206 subjects aged 17-22 years, including 672 athletes, from Hawaii Pacific Health, University of Hawaii, and Rady Children's Hospital San Diego were obtained through retrospective review. Age and sex-specific Z-scores for ECG variables were derived from normal subjects and used to assess the range of values for specific ECG variables in young athletes. Athletes with abnormal ECGs were referred to cardiology consultation and/or echocardiogram.
Results: Athletes had slower heart rate, longer PR interval, more rightward QRS axis, longer QRS duration but shorter QTc duration, larger amplitude and area of T waves, prevalent R' waves in V1, and higher values of variables traditionally associated with left ventricular hypertrophy (LVH): amplitudes of S waves (leads V1-V2), Q waves (V6, III) and R waves (II, V5, V6). Z-scores of these ECG variables in 558 (83%) of the athletes fell within - 2.5 and 2.5 range derived from the normal population dataset, and 60 (8.9%) athletes had a Z-score outside the - 3 to 3 range. While 191 (28.4%) athletes met traditional voltage criteria for diagnosis of LVH on ECG, only 53 athletes (7.9%) had Z-scores outside the range of -2.5 to 2.5 for both S amplitude in leads V1-V2 and R amplitude in leads V5-6. Only one athlete was diagnosed with hypertrophic cardiomyopathy with a Z-score of R wave in V6 of 2.34 and T wave in V6 of -5.94.
Conclusion: The use of Z-scores derived from a normal population may provide more precise screening to define cardiac abnormalities in young athletes and reduce unnecessary secondary testing, restrictions and concern.