The prevalence of sudden cardiac death (SCD) among younger individuals, particularly due to inherited cardiac conditions, raises significant public health concerns. Current studies indicate that cardiovascular disease (CVD) is a leading cause of mortality in those under 35, with rates varying globally between 10 to 25 deaths per 100,000 person-years. The main culprits underlying these tragedies often remain clinically silent, highlighting the urgent need for effective cardiac screening strategies.
Globally, the approach to cardiac screening is inconsistent. In the UK, the National Screening Committee assessed the potential for a national screening program in 2019 but ultimately declined, citing uncertainty regarding SCD incidence and lack of validated screening measures. Conversely, organizations like the European Society of Cardiology and the American Heart Association advocate for pre-participation screening in young athletes, notably mandating it for elite sports.
Internationally, nations have attempted to implement structured screening frameworks. For instance, Italy has mandated screening of competitive athletes since 1982, resulting in a significant reduction—nearly 90%—in reported SCD rates among screened populations. Italian studies presented a compelling argument for cardiac screening, attributing this reduction mainly to the identification and disqualification of athletes with cardiomyopathies. However, such findings are not universally consistent; Israel's experience showed negligible changes in SCD rates post-implementation of a similar screening program.
In Japan, schoolchildren undergo routine screenings regardless of sports involvement. This holistic approach has illustrated promising outcomes, with 2.7% of those tested requiring further evaluation, signifying a much-needed focus on ECG efficacy in early detection.
Central to cardiac screening is the electrocardiogram (ECG), which is critical for diagnosing electrical abnormalities and some structural cardiac issues. Yet, it is prone to misinterpretation due to varying levels of expertise among practitioners, leading to high rates of false positives. Inter-observer variability remains a significant hurdle, making standardized interpretation essential.
Recent strides, such as the International Criteria for ECG Interpretation, have improved specificity and sensitivity in athletic populations, but their effectiveness in broader contexts remains in question. Notably, false negatives pose a serious risk as many conditions leading to SCD may not be apparent until after tragic events, further complicating the screening landscape. The charity Cardiac Risk in the Young (CRY) has conducted voluntary screenings, noting a diagnostic yield where 2.5% of participants received referrals after initial assessments, leading to a small percentage of confirmed cases benefiting from timely interventions.
Addressing the diagnostic limitations of traditional ECG requires innovative technological solutions. AI-enabled ECG (AI-ECG) has garnered interest, with machine learning techniques offering the potential to enhance diagnostic accuracy and refine risk predictions. Studies in older demographics have demonstrated that AI-ECG can significantly impact risk stratification for cardiovascular mortality and arrhythmias. However, challenges abound when adapting these tools for younger populations, where both the incidence of SCD events and the nature of cardiac conditions differ fundamentally from older groups.
The rarity of SCA/SCD events complicates predictive modeling in this demographic. Likewise, the unique genetic substrates of cardiac conditions necessitate distinct approaches, which current AI models might not account for. Despite these hurdles, incorporating AI into screening programs might substantially improve outcomes by refining when and how screenings are performed.
As awareness of the need for robust cardiac screening grows, understanding its challenges and leveraging advancements in technology may pave the way for creating effective, equitable screening protocols tailored to young people. Future implementation requires meticulous consideration of both age-related nuances and the evolving landscape of cardiac care. While promising, the integration of AI in these frameworks still demands rigorous validation in young cohorts to ensure both efficacy and safety in real-world applications.