Myocarditis in Athletes Recovering from COVID-19: A Systematic Review and Meta-Analysis.

BACKGROUND: To assess the event rates of myocarditis detected by Cardiac Magnetic Resonance (CMR) in athletes who recovered from COVID-19. METHODS: A systematic literature search was performed to identify studies reporting abnormal CMR findings in athletes who recovered from COVID-19. Secondary analyses were performed considering increased serum high sensitivity troponin (hs-Tn) levels and electrocardiographic (ECG) and echocardiographic (ECHO) abnormalities. RESULTS: In total, 7988 athletes from 15 studies were included in the analysis. The pooled event rate of myocarditis was 1% (CI 1-2%), reaching 4% in the sub-group analysis. In addition, heterogeneity was observed (I2 43.8%). The pooled event rates of elevated serum hs-Tn levels, abnormal ECG and ECHO findings were 2% (CI 1-5%), 3% (CI 1-10%) and 2% (CI 1-6%), respectively. ECG, ECHO and serum hs-Tn level abnormalities did not show any correlation with myocarditis. CONCLUSIONS: The prevalence of COVID-19-related myocarditis in the athletic population ranges from 1 to 4%. Even if the event rate is quite low, current screening protocols are helpful tools for a safe return to play to properly address CMR studies. TRIAL REGISTRATION: the study protocol was registered in the PROSPERO database (registration number: CRD42022300819).

Cardiac-CT with the newest CT scanners: An incoming screening tool for competitive athletes?

Competitive athletes of all skill levels are at risk of sudden cardiac death (SCD) due to certain heart conditions. Prior to engagement in high-intensity athletics, it is necessary to screen for these conditions in order to prevent sudden cardiac death. Cardiac-CT angiography (CCTA) is a reliable tool to rule out the leading causes of SCD by providing an exceptional overview of vascular and cardiac morphology. This allows CCTA to be a powerful resource in identifying cardiac anomalies in selected patients (i.e. unclear symptoms or findings at ECG or echocardiography) as well as to exclude significant coronary artery disease (CAD). With the advancement of technology over the last few years, the latest generations of computed tomography (CT) scanners provide better image quality at lower radiation exposures. With the amount of radiation exposure per scan now reaching the sub-millisievert range, the number of CT examinations it is supposed to increase greatly, also in the athlete's population. It is thus necessary for radiologists to have a clear understanding of how to make and interpret a CCTA examination so that these studies may be performed in a responsible and radiation conscious manner especially when used in the younger populations. Our work aims to illustrate the main radiological findings of CCTAs and highlight their clinical impact with some case studies. We also briefly describe critical features of state-of-the-art CT scanners that optimize different acquisitions to obtain the best quality at the lowest possible dose.

Sudden Cardiac Death in Athletes in Italy during 2019: Internet-Based Epidemiological Research.

Background and objectives: An Italian nationwide pre-participation screening approach for prevention of sudden cardiac death in athletes (SCD-A) in competitive sportspeople showed promising results but did not achieve international consensus, due to cost-effectiveness and the shortfall of a monitoring plan. From this perspective, we tried to provide an epidemiological update of SCD-A in Italy through a year-long internet-based search. Materials and Methods: One year-long Google search was performed using mandatory and non-mandatory keywords. Data were collected according to prevalent SCD-A definition and matched with sport-related figures from Italian National Institute of Statistics (ISTAT) and Italian National Olympic Committee (CONI). Results: Ninety-eight cases of SCD-A in 2019 were identified (48.0% competitive, 52.0% non-competitive athletes). Male/female ratio was 13:1. The most common sports were soccer (33.7%), athletics (15.3%) and fitness (13.3%). A conclusive diagnosis was achieved only in 37 cases (33 of cardiac origin), with the leading diagnosis being coronary artery disease in 27 and a notably higher occurrence among master athletes. Combining these findings with ISTAT and CONI data, the SCD-A incidence rate in the whole Italian sport population was found to be 0.47/100,000 persons per year (1.00/100,000 in the competitive and 0.32/100,000 in the non-competitive population). The relative risk of SCD-A is 3.1 (CI 2.1-4.7; p < 0.0001) for competitive compared to non-competitive athletes; 9.9 for male (CI 4.6-21.4; p < 0.0001) with respect to female. Conclusions: We provided an updated incidence rate of SCD-A in both competitive and non-competitive sport in Italy. A higher risk of SCD-A among competitive and male athletes was confirmed, thus corroborating the value of Italian pre-participation screening in this population.

Is extensive cardiopulmonary screening useful in athletes with previous asymptomatic or mild SARS-CoV-2 infection?

OBJECTIVE: During the COVID-19 pandemic, it is essential to understand if and how to screen SARS-CoV-2-positive athletes to safely resume training and competitions. The aim of this study is to understand which investigations are useful in a screening protocol aimed at protecting health but also avoiding inappropriate examinations. METHODS: We conducted a cohort study of a professional soccer team that is based on an extensive screening protocol for resuming training during the COVID-19 pandemic. It included personal history, antigen swabs, blood tests, spirometry, resting/stress-test ECG with oxygen saturation monitoring, echocardiogram, Holter and chest CT. We also compared the findings with prior data from the same subjects before infection and with data from SARS-CoV-2-negative players. RESULTS: None of the players had positive swab and/or anti-SARS-CoV-2 IgM class antibodies. Out of 30 players, 18 (60%) had IgG class antibodies. None had suffered severe SARS-CoV-2-related disease, 12 (66.7%) had complained of mild COVID-19-related symptoms and 6 (33.3%) were asymptomatic. None of the players we examined revealed significant cardiovascular abnormalities after clinical recovery. A mild reduction in spirometry parameters versus pre-COVID-19 values was observed in all athletes, but it was statistically significant (p<0.05) only in SARS-CoV-2-positive athletes. One SARS-CoV-2-positive player showed increased troponin I level, but extensive investigation did not show signs of myocardial damage. CONCLUSION: In this small cohort of athletes with previous asymptomatic/mild SARS-CoV-2 infection, a comprehensive screening protocol including blood tests, spirometry, resting ECG, stress-test ECG with oxygen saturation monitoring and echocardiogram did not identify relevant anomalies. While larger studies are needed, extensive cardiorespiratory and haematological screening in athletes with asymptomatic/mild SARS-CoV-2 infection appears unnecessary.

Coronary atherosclerosis in apparently healthy master athletes discovered during pre-PARTECIPATION screening. Role of coronary CT angiography (CCTA).

BACKGROUND: Pre-participation screening (PPS) of athletes aged over 35 years (master athletes, MA) is a major concern in Sports Cardiology. In this population, sports-related sudden cardiac death is rare but usually due to coronary atherosclerosis (CA). Coronary CT Angiography (CCTA) has changed the approach to diagnosis/management of CA, but its role in this context still needs to be assessed. METHODS AND RESULTS: We retrospectively examined 167 MA who underwent CCTA in our hospital since 2006, analyzing symptoms, stress-test ECG, cardiovascular risk profiles (SCORE) and CCTA findings. Among the whole enrolled population, 153 (91.6%) MA underwent CCTA for equivocal/positive stress-test ECG with/without symptoms, 13 (7.8%) just for clinical symptoms, 1 (0.6%) for the family history. The CCTA showed the presence of CA in 69 MA (41.3%), congenital coronary anomalies (anomalous origin or deep myocardial bridge) in 8 (4.8%), both in 7 (4.2%). A negative CCTA was observed in 83 MA (49.7%). The risk-SCORE (age, hypertension, hypercholesterolemia, smoking) was a good indicator for the presence of moderate/severe CA on CCTA. However, mild/moderate CA was present in 17.8% of MA clinically stratified at a low risk-SCORE. CONCLUSION: While coronary angiography is more indicated in athletes with positive stress-test ECG and high clinical risk, the CCTA may be useful in the evaluation of MA with an abnormal stress test ECG and/or clinical symptoms engaged in competitive sports with a high cardiovascular involvement. Age, gender, presence of symptoms and clinical risk-SCORE assessment may help sports physicians and cardiologists to decide whether to request a CCTA or not.

QTc Interval in Adolescents and Young Athletes: Influence of Correction Formulas.

A QTc interval at the upper limits in young athletes can be challenging. Regardless of factors able to influence it (age, electrolytes, etc.), several authors underlined that rate correction formulas can often underestimate/overestimate it. Our objective was to identify the most reliable formula and relative upper normal limit of QTc for this population. The rest ECG of 701 healthy elite male athletes was analyzed. QTc was calculated with 4 formulas (Bazett, Fridericia, Framingham, Hodges). Correlation/regression analysis of QTc vs. heart rate and upper limits were calculated and compared considering different age groups. Abnormal ECGs were compared considering different upper limits. Correlation between QTc and heart rate was highly significant using Bazett's and Framingham's formulas, lower using Hodges' formula, and not significant using Fridericia's formula. Except for Framingham's, the number of abnormal ECGs was identical considering an upper limit of 480 msec, and significantly different for lower limits. Upper limits were: Bazett 469 msec, Fridericia 451 msec, Framingham 458 msec, and Hodges 461 msec. Except for Framingham's, no difference among other formulas in individuating abnormal ECGs for QTc≥480 msec was found. QTc obtained with the Bazett's formula appears highly dependent on heart rate. This, especially in the grey zone (440-480 msec), can lead to overtesting. Framingham's formula shows similar limits. Hodges' formula offers uncertain reliability. Fridericia's formula seems the most reliable.