Preparticipation Cardiovascular Screening of Athletes: Current Controversies and Challenges for the Future
Abstract
:1. Introduction
2. Sudden Cardiac Death in Athletes
2.1. Epidemiology of SCD
2.2. Causes of SCD in Athletes
2.3. Controversies and Challenges for the Future
3. Preparticipation Cardiac Screening of Young Athletes
3.1. Clinical Evaluation
3.2. The Role of Electrocardiogram
3.3. Inclusion of Echocardiogram
3.4. Controversies and Challenges for the Future
4. Screening of Veteran Athletes
4.1. Cardiovascular Risk Stratification of Veteran Athletes
4.2. The Role of Exercise Testing
4.3. Further Exams and Advanced Imaging Evaluation
4.4. Controversies and Challenges for the Future
5. Importance of Cardiopulmonary Resuscitation
5.1. Impact in Survival After Sudden Cardiac Arrest
5.2. Controversies and Challenges for the Future
6. The Role of Digital Technology
6.1. Where Are We?
6.2. Artificial Intelligence in Sports Cardiology
6.3. Controversies and Challenges for the Future
7. Conclusions
Funding
Conflicts of Interest
References
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ATHLETE’S SPECIFIC CHARACTERISTICS | |
---|---|
Geographic origin and race | Black athlete repolarization pattern (J-point elevation and TWI in V1–V4) is considered a normal finding; however, it shows heterogeneous patterns of benignity in different geographic regions or African population. |
Age and gender | More research and normative ECG data on age and gender is needed. Some ECG parameters are dynamic and change with age (QT interval, QRS voltage). TWI in V1–V3 is more prevalent in female athletes (benign pattern?). |
SPORTS SPECIFIC CHARACTERISTICS | |
Type of sport/Modality | Cardiac remodeling, both structural and electrical, is dependent on the type of sports. Endurance athletes have predominantly eccentric remodeling and strength athletes a concentric type. |
Intensity | Elite athletes show more marked physiological cardiac adaptations. Future research should be focus on normative ECG data according to exercise-related characteristics. |
SPECIFIC ECG FINDINGS | |
Low QRS voltage | Causes of SCD such as arrhythmogenic cardiomyopathy, myocarditis, infiltrative cardiac diseases and nonischemic left ventricle scar may demonstrate low QRS voltage. In athletes this is infrequent. |
QRS fragmentation | In lead V1 it may represent a sign of right ventricle remodeling. More research is needed to understand its clinical value. |
Premature Ventricular Contractions | Beyond the PVC burden, the morphology and relationship with exercise matters. PVC from concerning origins (e.g., Left bundle branch block with superior or intermediate axis) warrant an indepth investigation. |
ST-segment depression morphology | Upsloping ST-segment depression can have a different value (benign), than a horizontal or downsloping ST-depression morphology. Research is needed. |
Key Measure | Description |
---|---|
Improved Screening Strategies | Enhance CV PPS to better identify at-risk athletes. |
Emergency Action Plans | Implement well-rehearsed EAPs in sports venues, ensuring fast and efficient response. |
Bystander Training | Provide widespread CPR and AED training to coaches, medical staff, and spectators to ensure rapid response. |
Athlete CPR Training | Encourage CPR training for athletes to improve immediate intervention. |
Mandatory AED Availability | Enforce the presence of AEDs in both competitive and recreational sports settings. |
Legislative and Tax Incentives | Promote AED accessibility laws and provide tax incentives for deployment and training. |
Education in Schools | Incorporate basic life support and AED training into school curricula to increase awareness. |
History and Physical Examination | Anamnestic Data Collection: AI-powered chatbots facilitate the collection of medical history by streamlining the process and identifying critical details that might otherwise be missed during conventional clinical visits [63]. |
AI-Enhanced Stethoscopes: Digital stethoscopes equipped with heart murmur interpretation algorithms improve the detection of structural heart murmurs in athletes [64]. | |
Electrocardiography | ECG Interpretation: AI models provide enhanced precision in interpreting ECG results, offering improved detection of CV conditions linked to SCD and the ability to predict clinical outcomes [65]. |
Exercise Testing: Advanced AI algorithms enhance the diagnostic accuracy of exercise stress tests and continuous ECG monitoring, particularly in identifying coronary artery disease and heart rhythm disorders [66]. | |
Imaging | Echocardiography: AI-based tools analyse echocardiographic patterns, aiding clinicians in differentiating physiological athletic heart adaptations from pathological conditions [67]. |
Advanced Imaging: AI-driven analysis in cardiac magnetic resonance imaging, coronary computed tomography, and nuclear cardiology assists in diagnosing conditions within the “grey zone” of athlete’s heart [7]. | |
Genetic Testing | Genomic Data Analysis: AI models applied to large genomic datasets help identify genetic markers and disease subtypes, enabling more accurate risk stratification and supporting personalized treatment strategies [68]. |
Wearable Technology | Continuous Monitoring: AI integration with wearable devices extends their capabilities, enabling continuous cardiac monitoring and enhanced risk assessment in athletes [60]. |
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Dores, H.; Dinis, P.; Viegas, J.M.; Freitas, A. Preparticipation Cardiovascular Screening of Athletes: Current Controversies and Challenges for the Future. Diagnostics 2024, 14, 2445. https://doi.org/10.3390/diagnostics14212445
Dores H, Dinis P, Viegas JM, Freitas A. Preparticipation Cardiovascular Screening of Athletes: Current Controversies and Challenges for the Future. Diagnostics. 2024; 14(21):2445. https://doi.org/10.3390/diagnostics14212445
Chicago/Turabian StyleDores, Hélder, Paulo Dinis, José Miguel Viegas, and António Freitas. 2024. "Preparticipation Cardiovascular Screening of Athletes: Current Controversies and Challenges for the Future" Diagnostics 14, no. 21: 2445. https://doi.org/10.3390/diagnostics14212445
APA StyleDores, H., Dinis, P., Viegas, J. M., & Freitas, A. (2024). Preparticipation Cardiovascular Screening of Athletes: Current Controversies and Challenges for the Future. Diagnostics, 14(21), 2445. https://doi.org/10.3390/diagnostics14212445