Key result
An algorithmic approach for risk stratification and shared decision-making optimizes the management of premature ventricular beats in competitive athletes.
An algorithmic approach to risk stratification and shared decision-making is recommended for managing competitive athletes with premature ventricular beats to differentiate benign findings from underlying cardiomyopathies.
May support algorithmic PVB risk stratification in athletes; leaves open prospective validation before practice change.
INTRODUCTION: Premature ventricular beats (PVBs) in competitive athletes are incidentally found during pre-participation ECG screening. Their clinical significance remains debatable with several studies suggesting they are a benign reflection of athlete's heart, and others proposing they may indicate underlying structural heart disease and heightened risk for sudden cardiac death (SCD). Areas covered: Effective management of athletes with PVBs may best be accomplished using an algorithmic approach for risk stratification with a goal of differentiating benign PVBs from those reflective of underlying cardiomyopathies. Current AHA/ACC consensus recommendations provide a platform for determining optimal medical and invasive therapeutic strategies for symptom control and management of long-term complications without erroneously restricting an athlete's ability to play. Utilizing a shared decision-making model is an optimal method for managing expectations and guiding exercise recommendations. Expert commentary: Though pre-participation ECG screening as the standard of care for competitive athletes remains controversial in the United States, a 12-lead ECG is often the first indication of underlying structural heart disease in athletes with PVBs and can therefore identify athletes at greater risk of SCD. Advancements in non-invasive imaging continue to improve in diagnostic potential and prognostication. Invasive therapies provide a curative strategy for refractory PVBs and PVB-induced cardiomyopathy.
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Singh et al. (2018) conducted a review in Premature ventricular beats in competitive athletes. Algorithmic approach for risk stratification and shared decision-making was evaluated. An algorithmic approach for risk stratification and shared decision-making optimizes the management of premature ventricular beats in competitive athletes.
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