Sudden Cardiac Arrest in Football
Bibliographic record
Abstract
Background: Sudden Cardiac Arrest (SCA) is defined as the abrupt loss of heart function as an occurrence without physical contact (absent commotio cordis ). SCA's morbidity ratio is 1:50,000 of all deaths. The published estimates on SCA suggest that 11% of all victims have a normal heart. Current screening investigations include electrocardiography (ECG), echography, 24-hour ECG monitoring, eliciting stress history, and cardiac Magnetic Resonance Imaging. Some cardiac pathologies screened have never been detected. Athletes who experienced SCA had a survival rate of 50-60% over 30-days, and this rate might reach up to 80-89% in some cohort studies. The survival factors are based on regular and thorough screening checks, and better observation that enables quicker pickups. Players vary in cardiopulmonary resuscitation (CPR) performance and are emotionally involved, as was reported recently with footballer Christian Eriksen in the 2021 European Championship 1 . However, anyone trained in CPR, not just medical professionals, can assist in resuscitation (Figure 1). Evidence-based studies show that Basic Cardiac Life Support (BCLS) is more effective on the sports field than Advanced Cardiac Life Support 2 . The objective of this literature review is to make recommendations to effectively respond to SCA during football tournaments. Methods: PubMed database was used to retrieve articles published in English between 2018 and 2021 related to SCA during football games. Results: There are limited publications in this specific domain. Reports from 67 countries account for 617 players (mean age 34 ± 16 years, 96% men) suffering from SCA or traumatic sudden death during football activities between 2014 - 2018, of whom 142 players (23%) survived 1 . CPR resulted in a survival rate of 85% with the use of an automated external defibrillator (AED) compared to 35% without. Conclusion: Key recommendations from this literature review are listed in Table 1. These are important steps needed to improve survival chance from SCA 3 . Qatar, hosting the Football World Cup 2022, can put in place additional measures to promote effective SCA resuscitation and ensure the safety of all players.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".