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Use of Electrocardiographic Screening to Clear Athletes for Return to Sports Following COVID-19 Infection.
Erickson, Jacob L; Poterucha, Joseph T; Gende, Alecia; McEleney, Mark; Wencl, Corey M; Castaneda, Marisa; Gran, Lindsay; Luedke, Joel; Collum, Jill; Fischer, Karen M; Jagim, Andrew R.
  • Erickson JL; Sports Medicine, Mayo Clinic Health System, La Crosse, WI.
  • Poterucha JT; Division of Critical Care Medicine, Department of Medicine, Mayo Clinic Health System, La Crosse, WI.
  • Gende A; Department of Community Pediatric and Adolescent Medicine, Mayo Clinic Health System, La Crosse, WI.
  • McEleney M; Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN.
  • Wencl CM; Sports Medicine, Mayo Clinic Health System, La Crosse, WI.
  • Castaneda M; Sports Medicine, Mayo Clinic Health System, La Crosse, WI.
  • Gran L; Sports Medicine, Mayo Clinic Health System, La Crosse, WI.
  • Luedke J; Sports Medicine, Mayo Clinic Health System, La Crosse, WI.
  • Collum J; Sports Medicine, Mayo Clinic Health System, La Crosse, WI.
  • Fischer KM; Athletics Department, University of Wisconsin La Crosse.
  • Jagim AR; Saint Mary's University, Winona, MN.
Mayo Clin Proc Innov Qual Outcomes ; 5(2): 368-376, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1188882
ABSTRACT

OBJECTIVE:

To quantify the occurrence rate of abnormal electrocardiographic (ECG) findings and symptoms following coronavirus disease 2019 (COVID-19) infection. PATIENTS AND

METHODS:

In this retrospective analysis, we studied adult patients (>18 years old) who were participating in collegiate athletics and previously tested positive for COVID-19 between August 1, 2020, and December 30, 2020. The athletes underwent general examinations and ECG screening prior to being medically cleared for a return to sports following their COVID-19 diagnosis. Predetermined predictors were grouped into categorical variables including (1) sex, (2) symptom severity, and (3) body mass index (normal vs overweight [≥24 kg/m2]). These variables were used to examine differences of abnormal rates that occurred between different predictor categories.

RESULTS:

Of the 170 athletes screened, 6 (3.5%) presented with abnormal ECG findings and were referred to cardiologists. We found no evidence that sex, symptom severity, and body mass index category were associated with a higher rate of abnormal ECG findings (all P>.05). Greater severity of COVID-19 symptoms was associated with a higher percentage of ST depression, T-wave inversion, ST-T changes, and the presence of fragmented QRS complex. Loss of smell, loss of taste, headache, and fatigue were the most prevalent symptoms, with 38.8% (66), 36.5% (62), 32.9% (56), and 25.3% (43), respectively, of the 170 athletes reporting each symptom.

CONCLUSION:

Preliminary findings indicate a low risk of myocardial injury secondary to COVID-19 infection, with less than 4% of the 170 patients in our study presenting with abnormal ECG findings and a total of 16 patients (9.4%) requiring referral to a cardiologist. Although viral myocarditis was not detected in any athlete referred for cardiological assessment, 2 patients experienced effusive viral pericarditis.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Observational study / Prognostic study Language: English Journal: Mayo Clin Proc Innov Qual Outcomes Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Observational study / Prognostic study Language: English Journal: Mayo Clin Proc Innov Qual Outcomes Year: 2021 Document Type: Article