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May 28, 2026International Journal of Cardiology1 citations

Prevalence and significance of ECG abnormalities in athletes: Data from a multicenter Italian registry

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ZPZefferino PalamàASAntonio ScaràARAntonio Gianluca Robles

Key Result

Selected ECG abnormalities were identified in 1.01% of athletes undergoing pre-participation screening, with 19.3% of those athletes disqualified for at-risk cardiovascular conditions.

Key Points

  • This research aims to determine the prevalence and clinical significance of ECG abnormalities in athletes.
  • Data were collected from a multicenter Italian registry focused on athletes.
  • ECG findings were assessed for significance regarding cardiovascular health.
  • Participants included various athletic disciplines and age groups.
  • A significant proportion of athletes (estimated at XX%) exhibited ECG abnormalities.
  • Specific abnormalities correlated with increased risk factors for cardiovascular issues.
  • Results indicate the potential need for further screening protocols for athletes.

Study Design

Type

Observational (n=12,758)

Multicenter

Yes

Structured PICO

P
Population
12,758 elite and amateur athletes (median age 22.5 years, 38% female) undergoing pre-participation screening in Italy.
E
Exposure
Pre-participation screening including 12-lead ECG interpreted according to International Criteria for Electrocardiographic Interpretation in Athletes plus selected markers (low QRS voltages, QRS fragmentation, and early repolarization with horizontal or descending ST segment).
O
Outcome
Prevalence of selected ECG abnormalities and their association with at-risk cardiovascular conditions

In a large Italian registry of athletes, selected ECG abnormalities were found in 1.01% of individuals, with 19.3% of those with abnormalities disqualified due to at-risk cardiovascular conditions.

Limitations

  • Selective ECG criteria adopted, excluding patterns suggestive of Brugada syndrome and ventricular pre-excitation.
  • Selective ECG criteria adopted

Abstract

INTRODUCTION: The Italian pre-participation screening (PPS) protocol includes family and personal medical history, physical examination, and a 12‑lead electrocardiogram (ECG). The aim of this study was to evaluate the prevalence of selected ECG abnormalities in an unselected athletic population from a multicenter Italian registry, and to assess their association with at-risk cardiovascular conditions. METHODS: This multicenter registry prospectively enrolled 12,758 elite and amateur athletes (62% males; median age 22.5 years, range 14-55 years) undergoing PPS according to the Italian national protocol (COCIS, 2017). ECGs were interpreted according to the International Criteria for Electrocardiographic Interpretation in Athletes, with the addition of selected markers (low QRS voltages, QRS fragmentation, and early repolarization with horizontal or descending ST segment). ECG patterns suggestive of Brugada syndrome and ventricular pre-excitation, although observed, were not included in the analysis. All subjects with ECG abnormalities underwent a second-line diagnostic work-up. RESULTS: A total of 129 abnormal ECGs were identified (1.01%). Among these, 25 athletes (19.3%) were disqualified because of an at-risk cardiovascular condition. CONCLUSION: The prevalence of selected ECG abnormalities in this multicenter registry was lower than that reported in previous studies. However, this finding should be interpreted in the light of the selective ECG criteria adopted. The abnormalities investigated showed a relevant predictive value for identifying at-risk conditions in a real-world, predominantly non-elite population.

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Cite This Study

Palamà et al. (2026) conducted an observational in Athletes undergoing pre-participation screening (n=12,758). Pre-participation screening with 12-lead ECG was evaluated on Prevalence of selected ECG abnormalities. Selected ECG abnormalities were identified in 1.01% of athletes undergoing pre-participation screening, with 19.3% of those athletes disqualified for at-risk cardiovascular conditions.

synapsesocial.com/papers/6a17e1e93fad632b0f9da91chttps://doi.org/10.1016/j.ijcard.2026.134581
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