十大 COVID-19 心脏病登记结果:SARS-COV-2对心肌受累的影响

IF 2.1 3区 医学 Q2 ORTHOPEDICS Clinical Journal of Sport Medicine Pub Date : 2024-07-09 DOI:10.1097/JSM.0000000000001247
Jennifer S Albrecht, Joel T Greenshields, Suzanne Smart, Ian H Law, Larry R Rink, Curt J Daniels, Saurabh Rajpal, Eugene H Chung, Jean Jeudy, Richard Kovacs, Jason Womack, Carrie Esopenko, Philip Bosha, Michael Terrin, Geoffrey L Rosenthal
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引用次数: 0

摘要

目的:COVID-19 与大学生运动员心肌受累有关。Big Ten COVID-19 心脏登记处(登记处)的首份报告是一项生态研究,根据当地临床诊断,1597 名运动员中有 37 人(2.3%)患有心肌炎。我们的目的是评估运动员和临床特征与心肌受累之间的关系:设计:横断面研究:我们分析了1218名COVID-19阳性的Big Ten大学运动员的数据,这些运动员在知情同意的情况下参与了注册:1218名在2021年6月1日前COVID-19 PCR检测呈阳性的运动员:从医疗记录中获取运动员的人口统计学和临床特征:根据当地临床、心脏磁共振(CMR)、心电图、肌钙蛋白检测和超声心动图诊断心肌受累。我们使用逻辑回归法评估了临床因素与心肌受累的相关性,并估算了接收器操作特征曲线(ROC)下的面积。用于预测心肌受累的逻辑回归模型包含胸痛、新出现的运动不耐受、超声心动图(回声)异常和肌钙蛋白异常等指标变量。这些指标的 ROC 曲线下面积为 0.714。在 COVID-19 检测呈阳性的大学生运动员中,如果存在这 4 个因素中的任何一个,就能发现 55.6% 的病例。在没有缺失数据的非病例中,86.9%的病例不会被标记为可能累及心肌:结论:心肌受累并不常见。我们预测病例状态的特异性较好,但敏感性不足。仅根据症状诊断心肌受累的方法不如根据症状、回声和肌钙蛋白水平评估的方法灵敏。其中任何一项评估出现异常都是进行 CMR 的指征。
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Results From the Big Ten COVID-19 Cardiac Registry: Impact of SARS-COV-2 on Myocardial Involvement.

Objective: COVID-19 has been associated with myocardial involvement in collegiate athletes. The first report from the Big Ten COVID-19 Cardiac Registry (Registry) was an ecological study that reported myocarditis in 37 of 1597 athletes (2.3%) based on local clinical diagnosis. Our objective was to assess the relationship between athlete and clinical characteristics and myocardial involvement.

Design: Cross-sectional study.

Setting: We analyzed data from 1218 COVID-19 positive Big Ten collegiate athletes who provided informed consent to participate in the Registry.

Participants: 1218 athletes with a COVID-19-positive PCR test before June 1, 2021.

Assessment of independent variables: Demographic and clinical characteristics of athletes were obtained from the medical record.

Main outcome measures: Myocardial involvement was diagnosed based on local clinical, cardiac magnetic resonance (CMR), electrocardiography, troponin assay, and echocardiography. We assessed the association of clinical factors with myocardial involvement using logistic regression and estimated the area under the receiver operating characteristic (ROC) curve.

Results: 25 of 1218 (2.0%) athletes met criteria for myocardial involvement. The logistic regression model used to predict myocardial involvement contained indicator variables for chest pain, new exercise intolerance, abnormal echocardiogram (echo), and abnormal troponin. The area under the ROC curve for these indicators was 0.714. The presence of any of these 4 factors in a collegiate athlete who tested positive for COVID-19 would capture 55.6% of cases. Among noncases without missing data, 86.9% would not be flagged for possible myocardial involvement.

Conclusion: Myocardial involvement was infrequent. We predicted case status with good specificity but deficient sensitivity. A diagnostic approach for myocardial involvement based exclusively on symptoms would be less sensitive than one based on symptoms, echo, and troponin level evaluations. Abnormality of any of these evaluations would be an indication for CMR.

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来源期刊
CiteScore
4.70
自引率
7.40%
发文量
185
审稿时长
6-12 weeks
期刊介绍: ​Clinical Journal of Sport Medicine is an international refereed journal published for clinicians with a primary interest in sports medicine practice. The journal publishes original research and reviews covering diagnostics, therapeutics, and rehabilitation in healthy and physically challenged individuals of all ages and levels of sport and exercise participation.
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