ECG criteria for the detection of high-risk cardiovascular conditions in master athletes

The International Criteria for Electrocardiogram Interpretation in Athletes: Common Pitfalls and Future Directions

Preparticipation cardiovascular screening (PPCS) in young athletes is performed to detect conditions associated with sudden cardiac death. Many medical societies and sports governing bodies support the addition of a 12-lead electrocardiogram (ECG) to the history and physical to improve PPCS sensitivity. The current standard for ECG interpretation in athletes, the International Criteria, was developed to distinguish physiologic from pathologic ECG findings in athletes. Although application of the International Criteria has reduced the PPCS false-positive rate, interpretative challenges and potential areas of improvement remain. This review provides an overview of common pitfalls and future directions for ECG interpretation in athletes.

MLP-RL-CRD: diagnosis of cardiovascular risk in athletes using a reinforcement learning-based multilayer perceptron

Objective.Pre-participation medical screening of athletes is necessary to pinpoint individuals susceptible to cardiovascular events.Approach.The article presents a reinforcement learning (RL)-based multilayer perceptron, termed MLP-RL-CRD, designed to detect cardiovascular risk among athletes. The model underwent training using a publicized dataset that included the anthropological measurements (such as height and weight) and biomedical metrics (covering blood pressure and pulse rate) of 26 002 athletes. To address the data imbalance, a novel RL-based technique was adopted. The problem was framed as a series of sequential decisions in which an agent classified a received instance and received a reward at each level. To resolve the insensitivity to the initialization of conventional gradient-based learning methods, a mutual learning-based artificial bee colony (ML-ABC) was proposed.Main Results.The model outcomes were validated against positive (P) and negative (N) ECG findings that had been labeled by experts to signify individuals 'at risk' and 'not at risk,' respectively. The MLP-RL-CRD approach achieves superior outcomes (F-measure 87.4%; geometric mean 89.6%) compared with other deep models and traditional machine learning techniques. Optimal values for crucial parameters, including the reward function, were identified for the model based on experiments on the study dataset. Ablation studies, which omitted elements of the suggested model, affirmed the autonomous, positive, stepwise influence of these components on performing the model.Significance.This study introduces a novel, effective method for early cardiovascular risk detection in athletes, merging reinforcement learning and multilayer perceptrons, advancing medical screening and predictive healthcare. The results could have far-reaching implications for athlete health management and the broader field of predictive healthcare analytics.

Quality of athlete screening for high-risk cardiovascular conditions-A systematic review

BACKGROUND

Sudden cardiac death (SCD) is the leading medical cause of death in athletes. To prevent SCD, screening for high-risk cardiovascular conditions (HRCC) is recommended. Screening strategies are based on a limited number of studies and expert consensus. However, evidence and efficacy of athlete HRCC screening is unclear.

OBJECTIVE

To determine methodological quality and quality of evidence of athlete screening, and screening efficacy to detect HRCC in a systematic review.

METHODS

We performed a systematic search of Medline, Embase, Scopus and Cochrane Library up to June 2021. We included articles containing original data of athlete cardiovascular screening, providing details of screening strategies, test results and HRCC detection. We assessed methodological quality of the included articles by QUADAS-2, quality of evidence of athlete HRCC screening by GRADE, and athlete HRCC screening efficacy by SWiM.

RESULTS

Of 2720 citations, we included 33 articles (1991-2018), comprising 82 417 athletes (26.7% elite, 73.4% competitive, 21.7% women, 75.2% aged ≤35). Methodological quality was 'very low' (33 articles), caused by absence of data blinding and inappropriate statistical analysis. Quality of evidence was 'very low' (33 articles), due to observational designs and population heterogeneity. Screening efficacy could not be reliably established. The prevalence of HRCC was 0.43% with false positive rate (FPR) 13.0%.

CONCLUSIONS

Methodological quality and quality of evidence on athlete screening are suboptimal. Efficacy could not be reliably established. The prevalence of screen detected HRCC was very low and FPR high. Given the limitations of the evidence, individual recommendations need to be prudent.

Electrocardiographic measurements in children with pre-dialysis chronic kidney disease and undergoing kidney replacement therapy

Cardiovascular diseases are the main causes of morbidity in children with chronic kidney disease (CKD). Electrocardiography (ECG) can provide important information about cardiac functions and parameters associated with sudden cardiac death. This study aims to evaluate the potentially dangerous changes in CKD and kidney replacement therapies by ECG and to determine the value of ECG in predicting cardiovascular outcome compared with echocardiography. 101 patients with CKD were divided into subgroups according to treatment modalities as pre-dialysis CKD, hemodialysis (HD), peritoneal dialysis (PD) and kidney transplantation (KTx). Differences in anthropometric measurements, laboratory results, blood pressures, ECG monitoring were compared within groups as well as with 40 healthy controls. Available echocardiographic findings were noted. In the patients, HD group had highest frequency of hypertension. ECG revealed prolonged QTc as more frequent (16.8% vs 0%, p = 0.006) and higher QTcD (56.7 ± 6.5 vs 39.9 ± 5.1 ms, p = 0.001) in the patients compared to controls, especially in dialysis patients, whereas lowest values were in KTx subgroup. Left ventricular (LV) hypertrophy (LVH) was more frequent (47.1%) in HD compared to other CKD subgroups in ECG (p = 0.052). Echocardiography also showed LV mass index as highest in HD and lowest in KTx (121.4 ± 55.7 vs 63.7 ± 18.3 g/m2, p = 0.000), with numerically highest LVH in HD (58.3%, p = 0.063).  Conclusion: ECG can be used to detect cardiovascular problems in patients with CKD, especially in HD. As ECG results were in line with echocardiography, patients with ECG abnormalities suggestive of LVH should be referred for echocardiographic assessment. What is Known: • Cardiovascular diseases such as coronary artery disease, congestive heart failure, arrhythmias and sudden cardiac death are major causes of morbidity and mortality in chronic kidney disease. • Electrocardiography has significant advantages in demonstrating cardiac functions in children because it is readily available, non-invasive and often non-experts can interpret the results. What is New: • The heart rate is higher, QTc is longer and QTcD is higher in dialysis patients and the prolonged QTc is more frequent in patients with underlying glomerular diseases. • Left ventricular hypertrophy is more common in HD patients and those with hypertension, hypercalcemia, anemia or glomerular etiology. The cardiovascular risky conditions are less frequent in the patients with kidney transplantation.

The International Criteria for Electrocardiogram Interpretation in Athletes: Common Pitfalls and Future Directions

Preparticipation cardiovascular screening (PPCS) in young athletes is performed to detect conditions associated with sudden cardiac death. Many medical societies and sports governing bodies support the addition of a 12-lead electrocardiogram (ECG) to the history and physical to improve PPCS sensitivity. The current standard for ECG interpretation in athletes, the International Criteria, was developed to distinguish physiologic from pathologic ECG findings in athletes. Although application of the International Criteria has reduced the PPCS false-positive rate, interpretative challenges and potential areas of improvement remain. This review provides an overview of common pitfalls and future directions for ECG interpretation in athletes.

How to Unmask Hidden Cardiovascular Diseases through Preparticipation Screening in Master Athletes?

Cardiovascular disease (CVD) is the most common cause of death globally in general population. Sport activity is an effective and recommended non-pharmacological method of CVD prevention. Presently, the group of people practicing sport regularly is constantly growing due to increasing awareness of its health benefits. However, vigorous-intensity exercises can reveal previously undetected disease. Master athletes over 35 years old are particularly exposed to sudden cardiac death (SCD) mainly in the course of coronary artery disease (CAD). Another common disease in veteran athletes is hypertension. It is known that regular endurance training can lower blood pressure at rest, so arterial hypertension in athletes is usually masked by adaptation to effort. Despite of normal or high-normal blood pressure in the office, the values during exercises and in ambulatory blood pressure monitoring (ABPM) can exceed the norm. Hidden hypertension have the same negative impact on cardiovascular system. It increases the risk of (1) atherosclerosis and therefore myocardial infarction or stroke, (2) left ventricular hypertrophy with diastolic and/or systolic heart failure, myocardial fibrosis and ventricular arrhythmias, (3) left atrial enlargement increasing the risk of atrial fibrillation and stroke and (4) aortic dilation/dissection. Through these complications hypertension can lead to SCD during sport activities, therefore it is important to recognize this disease early and start a proper treatment. To enable safe participation in sports competition detailed guidelines for screening were created, but they mainly concern CAD. We propose an additional scheme of screening in master athletes including the detection of hidden hypertension to prevent its consequences.

CARDIOVASCULAR MONITORING IN THE TRAINING OF LONG-DISTANCE RUNNERS

ABSTRACT Introduction Strengthening research on cardiac function risk assessment in running sports is beneficial to prevent sport-related cardiovascular injuries and sudden deaths in sports. Objective To study changes in cardiovascular response in athletes after long-distance running. Methods Changes in cardiovascular response indicators of long-distance runners before and after the five-kilometer race were monitored. Analyzed indices included heart rate, blood pressure, hemoglobin, and a cardiac function index. Results There were no statistically significant differences in heart rate, blood pressure, and hemoglobin levels before and after the long-distance run (P>0.05). There was no significant difference in the proportion of sinus arrhythmia before and after long-distance running (P>0.05). Conclusion Long-distance running did not cause abnormal changes in blood indicators. No cardiovascular discomfort or changes in the electrocardiogram, heart rate, blood pressure, hemoglobin, and cardiac function index were reported. These young men were not enlisted, despite undergoing adaptive training. In conclusion, the five-kilometer run is safe for young men in the reserve. Evidence Level II; Therapeutic Studies - Investigating the result.

Sudden Cardiac Arrest in Athletes: A Primary Level of Prevention

Primary prevention of sudden cardiac arrest (SCA) refers to the use of pharmacological or interventional therapy and healthy lifestyle modifications to prevent sudden cardiac death (SCD) in patients who have not experienced symptomatic, life-threatening persistent ventricular tachycardia or ventricular fibrillation or SCA but are considered to be at a higher risk. This review provides an overview of the physiological heart changes and distinct electrical manifestations, the etiology of SCA, and screening methods and interventions for the prevention of SCA in athletes. The American College of Cardiology and the American Heart Association (AHA) Guidelines recommend screening with a 14-point history and physical examination. In most cases, a thorough clinical evaluation along with an ECG is sufficient for screening. Athletes with heart diseases leading to SCD are urged not to compete. Further decisions are taken following the European Society of Cardiology and the AHA's current workout recommendations. Early detection of cardiac disease allows for individualized risk evaluation and treatment, which has been shown to reduce mortality rates in athletes.

Exercise-related major adverse cardiovascular events in asymptomatic recreational master athletes: a case series

Background

In master athletes, atherosclerotic coronary artery disease (CAD) is the primary condition leading to major adverse cardiovascular events during sports. We report two cases of asymptomatic recreational athletes who suffered from an exercise-induced cardiovascular event.

Case summary

The first athlete is a 70-year-old male speed skater without known history of cardiovascular disease. He has no typical risk factors for CAD and denied preceding symptoms. During training at the speed skating rink, he suddenly experienced severe chest pain. Electrocardiogram (ECG) showed ST-segment elevation in the precordial leads. In the ambulance, an episode of ventricular fibrillation was converted to atrial fibrillation. Coronary angiography showed a thrombus in the left anterior descending (LAD) coronary artery, treated with a glycoprotein IIb/IIIa inhibitor intravenously.The second athlete is a 59-year-old male endurance athlete who presented with chest pain during cycling. He had a history of cavotricuspid isthmus ablation and pulmonary vein isolation for paroxysmal atrial fibrillation and flutter but experienced no symptoms in the weeks prior to the event. He also had no risk factors for CAD. ECG showed ST-segment elevation in the inferior leads and reciprocal depression in V2-V4. Successful primary percutaneous intervention of the circumflex artery was performed.

Discussion

Limited data are available to guide recommendations for cardiovascular screening in master athletes. Since master athletes with CAD are often asymptomatic, more knowledge on the optimal pre-participation screening algorithm for identifying individuals at risk of adverse cardiac events is required.

A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review

Background and Motivation: Cardiovascular disease (CVD) causes the highest mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment is vital. Conventional methods have shown poor performance compared to more recent and fast-evolving Artificial Intelligence (AI) methods. The proposed study reviews the three most recent paradigms for CVD risk assessment, namely multiclass, multi-label, and ensemble-based methods in (i) office-based and (ii) stress-test laboratories. Methods: A total of 265 CVD-based studies were selected using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) model. Due to its popularity and recent development, the study analyzed the above three paradigms using machine learning (ML) frameworks. We review comprehensively these three methods using attributes, such as architecture, applications, pro-and-cons, scientific validation, clinical evaluation, and AI risk-of-bias (RoB) in the CVD framework. These ML techniques were then extended under mobile and cloud-based infrastructure. Findings: Most popular biomarkers used were office-based, laboratory-based, image-based phenotypes, and medication usage. Surrogate carotid scanning for coronary artery risk prediction had shown promising results. Ground truth (GT) selection for AI-based training along with scientific and clinical validation is very important for CVD stratification to avoid RoB. It was observed that the most popular classification paradigm is multiclass followed by the ensemble, and multi-label. The use of deep learning techniques in CVD risk stratification is in a very early stage of development. Mobile and cloud-based AI technologies are more likely to be the future. Conclusions: AI-based methods for CVD risk assessment are most promising and successful. Choice of GT is most vital in AI-based models to prevent the RoB. The amalgamation of image-based strategies with conventional risk factors provides the highest stability when using the three CVD paradigms in non-cloud and cloud-based frameworks.

Coronary Artery Dimensions in Endurance Athletes by Computed Tomography Angiography: A Quantitative Analysis

(1) Background: The athlete’s heart may develop permanent vessel enlargement. The purpose of our study was to define normal values for coronary artery dimensions of endurance athletes by coronary computed tomography angiography (CTA). (2) Methods: Ninety-eight individuals (56.2 ± 11 years) were included into this retrospective matched case-controlled-study. Endurance athletes had regular training volumes of ≥1 h per unit, ≥3–7 times per week (either cycling, running or mountain-endurance). Athletes were matched for age and gender with sedentary controls using propensity score. Quantitative CTA analysis included coronary vessel dimensions (two diameters and area) of the LM, LAD, CX and RCA for all AHA-16-segments. (3) Results: Proximal LAD area and diameter (p = 0.019); proximal/mid CX (diameter and area; p = 0.026 and p = 0.018/p = 0.008 and p = 0.009); mid RCA diameter and area; and proximal RCA diameter were significantly larger in endurance athletes (p < 0.05). The left main area (p = 0.708) and diameter (p = 0.809) as well as the mid LAD and distal segments were not different. We present the histograms and data for normal values ±1 and ± 2 SD. (4) Conclusions: Endurance athletes have larger proximal LAD, proximal/mid CX and RCA vessel dimensions, while LM and distal segments are similar. Hence, dilated coronary arteries in endurance athletes (“Athlete’s arteries”) have to be distinguished from diffuse ectatic segments developing during Kawasaki disease or multisystemic inflammation syndrome after COVID-19.

Criteria for interpretation of the athlete's ECG: A critical appraisal

The electrocardiogram (ECG) is cheap and widely available but its use as a screening tool for early identification of athletes with a cardiac disease at risk of sudden cardiac death is controversial because of presumed low specificity. In the last decade, several efforts have been made to improve the distinction between physiological and pathological ECG findings in the athlete, leading to continuous evolution of the interpretation criteria. The most recent 2017 International criteria grouped ECG changes into three categories: normal, borderline, and abnormal. Borderline findings warrant further investigations only when two or more are present while abnormal changes should always be considered as the sign of a possible underlying disease. This review encompasses the evolution of the athlete's ECG interpretation criteria and highlights areas of uncertainty that will need to be addressed by further studies.

Current controversies in pre-participation cardiovascular screening for young competitive athletes

INTRODUCTION

Pre-participation cardiovascular screening (PPCS) in athletes is recommended by numerous medical and sporting societies. While there is consensus that young athletes should be screened prior to participation in competitive sports, there are on-going debates regarding the true incidence of sudden cardiac death (SCD), the most frequent causes of SCD, and the optimal methods for PPCS.

AREAS COVERED

This review focuses on the current evidence for the incidence of SCD, causes of SCD, and the pros and cons of a history and physical exam (H&P) and electrocardiogram (ECG) in PPCS of young competitive athletes.

EXPERT OPINION

With significant controversy surrounding PPCS in athletes, a large-randomized trial powered for mortality is needed to assess the utility of PPCS and to define the optimal screening methods to detect cardiovascular diseases that may lead to SCD in competitive athletes. Until a trial of this caliber is created, controversy will remain and heterogeneity in care will exist. Future research should also define the optimal timing and frequency of PPCS given age-related penetrance of certain diseases, create evidence-based history questionnaires, continue to optimize ECG screening criteria, and create more learning modules for ECG interpretation in athletes.