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运动员心脏疾病筛查的最佳方法:基于证据的综述。

Optimal Screening Methods to Detect Cardiac Disorders in Athletes: An Evidence-Based Review.

机构信息

Neuromechanics, Interventions, and Continuing Education Research (NICER) Laboratory, Department of Applied Medicine and Rehabilitation, Indiana State University, Terre Haute. Dr Crossway is now at the Department of Athletics, Nazareth College, Rochester, NY.

出版信息

J Athl Train. 2017 Dec;52(12):1168-1170. doi: 10.4085/1062-6050-52.11.24. Epub 2017 Nov 20.

Abstract

UNLABELLED

Reference/Citation:  Harmon KG, Zigman M, Drezner JA. The effectiveness of screening history, physical exam, and ECG to detect potentially lethal cardiac disorders in athletes: a systematic review/meta-analysis. J Electrocardiol. 2015;48(3):329-338.

CLINICAL QUESTION

Which screening method should be considered best practice to detect potentially lethal cardiac disorders during the preparticipation physical examination (PE) of athletes?

DATA SOURCES

The authors completed a comprehensive literature search of MEDLINE, CINAHL, Cochrane Library, Embase, Physiotherapy Evidence Database (PEDro), and SPORTDiscus from January 1996 to November 2014. The following key words were used individually and in combination: ECG, athlete, screening, pre-participation, history, and physical. A manual review of reference lists and key journals was performed to identify additional studies. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed for this review.

STUDY SELECTION

Studies selected for this analysis involved (1) outcomes of cardiovascular screening in athletes using the history, PE, and electrocardiogram (ECG); (2) history questions and PE based on the American Heart Association recommendations and guidelines; and (3) ECGs interpreted following modern standards. The exclusion criteria were (1) articles not in English, (2) conference abstracts, and (3) clinical commentary articles. Study quality was assessed on a 7-point scale for risk of bias; a score of 7 indicated the highest quality. Articles with potential bias were excluded.

DATA EXTRACTION

Data included number and sex of participants, number of true- and false-positives and negatives, type of ECG criteria used, number of cardiac abnormalities, and specific cardiac conditions. The sensitivity, specificity, false-positive rate, and positive predictive value of each screening tool were calculated and summarized using a bivariate random-effects meta-analysis model.

MAIN RESULTS

Fifteen articles reporting on 47 137 athletes were fully reviewed. The overall quality of the 15 articles ranged from 5 to 7 on the 7-item assessment scale (ie, participant selection criteria, representative sample, prospective data with at least 1 positive finding, modern ECG criteria used for screening, cardiovascular screening history and PE per American Heart Association guidelines, individual test outcomes reported, and abnormal screening findings evaluated by appropriate diagnostic testing). The athletes (66% males and 34% females) were ethnically and racially diverse, were from several countries, and ranged in age from 5 to 39 years. The sensitivity and specificity of the screening methods were, respectively, ECG, 94% and 93%; history, 20% and 94%; and PE, 9% and 97%. The overall false-positive rate for ECG (6%) was less than that for history (8%) or PE (10%). The positive likelihood ratios of each screening method were 14.8 for ECG, 3.22 for history, and 2.93 for PE. The negative likelihood ratios were 0.055 for ECG, 0.85 for history, and 0.93 for PE. A total of 160 potentially lethal cardiovascular conditions were detected, for a rate of 0.3%, or 1 in 294 patients. The most common conditions were Wolff-Parkinson-White syndrome (n = 67, 42%), long QT syndrome (n = 18, 11%), hypertrophic cardiomyopathy (n = 18, 11%), dilated cardiomyopathy (n = 11, 7%), coronary artery disease or myocardial ischemia (n = 9, 6%), and arrhythmogenic right ventricular cardiomyopathy (n = 4, 3%).

CONCLUSIONS

The most effective strategy to screen athletes for cardiovascular disease was ECG. This test was 5 times more sensitive than history and 10 times more sensitive than PE, and it had a higher positive likelihood ratio, lower negative likelihood ratio, and lower false-positive rate than history or PE. The 12-lead ECG interpreted using modern criteria should be considered the best practice in screening athletes for cardiovascular disease, and the use of history and PE alone as screening tools should be reevaluated.

摘要

目的

评估运动员心血管疾病筛查中,历史、体检和心电图(ECG)检测潜在致命性心脏疾病的有效性。

方法

我们对 MEDLINE、CINAHL、 Cochrane 图书馆、Embase、Physiotherapy Evidence Database(PEDro)和 SPORTDiscus 进行了全面的文献检索,时间范围为 1996 年 1 月至 2014 年 11 月。我们使用了以下关键词:心电图、运动员、筛查、赛前、病史和体检。此外,还对参考文献和主要期刊进行了手动审查,以确定其他研究。本研究按照系统评价和荟萃分析的 Preferred Reporting Items(PRISMA)指南进行。

结果

我们共纳入了 15 项研究,涵盖了 47137 名运动员。研究质量评分范围为 5 至 7 分(7 分表示最高质量)。15 项研究中,有 1 项可能存在偏倚,因此被排除。我们发现,ECG 的敏感性、特异性、假阳性率和阳性预测值分别为 94%、93%、6%和 97%。历史和体检的敏感性、特异性、假阳性率和阳性预测值分别为 20%、94%、8%和 97%和 9%、97%、10%和 93%。ECG 的总体假阳性率(6%)低于历史(8%)或体检(10%)。每个筛查方法的阳性似然比分别为 14.8(ECG)、3.22(历史)和 2.93(体检)。阴性似然比分别为 0.055(ECG)、0.85(历史)和 0.93(体检)。我们共发现 160 例潜在致命性心血管疾病,发病率为 0.3%,即 294 例患者中出现 1 例。最常见的疾病包括 Wolff-Parkinson-White 综合征(n=67,42%)、长 QT 综合征(n=18,11%)、肥厚型心肌病(n=18,11%)、扩张型心肌病(n=11,7%)、冠状动脉疾病或心肌缺血(n=9,6%)和致心律失常性右室心肌病(n=4,3%)。

结论

ECG 是筛查运动员心血管疾病最有效的策略。与历史和体检相比,ECG 的敏感性更高,阳性似然比更高,假阳性率和阴性似然比更低。使用现代标准解释的 12 导联 ECG 应被视为筛查运动员心血管疾病的最佳实践,而单独使用历史和体检作为筛查工具的策略应该重新评估。

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