Assessment of the 12-Lead ECG as a Screening Test for Detection of Cardiovascular Disease in Healthy General Populations of Young People (12–25 Years of Age)

Association between body composition components and electrocardiogram parameters: results from the Fasa Adults Cohort Study (FACS)

OBJECTIVE

Cardiovascular diseases as the leading cause of death and disability are increasing worldwide. The present study aimed to investigate the association between total body water, total fat percent, and trunk fat percent with electrocardiogram (ECG) parameters in the Persian Fasa Adult Cohort Study (FACS).

METHODS

This cross-sectional study was performed on the baseline information obtained from 3217 35-70-year-old participants of the FACS, southern Iran. Various ECG and body composition parameters were obtained from the FACS baseline database. Independent t-test, Chi-square test and linear regression were used for data analysis.

RESULTS

Total body water (TBW) was positively associated with QRS length in men and women, and with PD and PR interval in women, exclusively. Additionally, in participants without chronic diseases (healthy group), TBW was shown to be positively associated with QRS length and PD; however, it was associated with QRS length and S wave in V3 lead (SV3) among those with type two diabetes, hypertension or ischemic heart disease (defined as unhealthy group). Total body fat percent (TBFP) was linearly associated with SV3 in unhealthy group. None of the studied ECG parameters was associated with TBFP in men, women and healthy group. Moreover, trunk fat percent was shown to be positive associated with R wave in aVL lead in women and unhealthy groups.

CONCLUSION

Body fat percentage and fat distribution may affect ECG parameters, and subsequently associated with cardiovascular diseases, such as arrhythmias. Thus, these indicators may carry the potential for screening high-risk individuals.

Sociodemographic disparities in incidence and survival for pediatric out-of-hospital cardiac arrest in the United States

BACKGROUND

Sociodemographic disparities in pediatric out-of-hospital cardiac arrest (OHCA) outcomes exist; differences in pediatric OHCA incidence remain unknown. This study investigated the association between race, ethnicity, and socioeconomic status (SES) with pediatric OHCA incidence and survival. We hypothesized that children who are Black, Hispanic/Latino, or of lower SES would have higher incidence and lower survival rates compared to children who are White or of higher SES.

METHODS

This is a retrospective cohort study (2015-2019) of the Cardiac Arrest Registry to Enhance Survival database. We included OHCAs among children < 18 years. The exposures were race, ethnicity, or SES index score. The SES index score incorporated race or ethnicity, household income, high school graduation rates, and unemployment rates on a scale from 0 to 4, with 4 indicating the highest-risk neighborhoods. The primary outcome was incidence (measured per 100,000 children of a particular group). Secondary outcomes included survival to hospital discharge and survival with a favorable neurologic outcome.

RESULTS

Among 6945 OHCAs, 2320 (33.4%) occurred in Black children, 739 (10.6%) in Hispanic/Latino children, 2161 (31.1%) in White children, 188 (2.7%) in children of Other race, and 2855 (41.2%) in highest-risk neighborhoods. Black children had the highest OHCA incidence (15.5) as compared to Hispanic/Latino children (3.3) and White children (3.8), p < 0.001. OHCA incidence was higher in highest-risk neighborhoods (11.6) compared to lowest-risk neighborhoods (4.3), p < 0.001. Black children had lower odds of survival to hospital discharge (adjusted odds ratio [aOR] 0.73, 95% CI 0.59-0.91) and neurologically favorable survival (aOR 0.64, 95% CI 0.50-0.82) compared to White children. Hispanic/Latino children did not have significantly worse survival outcomes compared to White children. Children from the highest-risk neighborhoods had lower odds of survival to hospital discharge (aOR 0.64, 95% CI 0.50-0.81) and neurologically favorable survival (aOR 0.54, 95% CI 0.41-0.71) compared to children from the lowest-risk neighborhoods.

CONCLUSIONS

Black children have over four times the OHCA incidence compared to White and Hispanic/Latino children. Children from the highest-risk neighborhoods have more than twice the OHCA incidence compared to children from the lowest-risk neighborhoods. Black children and children from the highest-risk neighborhoods have significantly lower OHCA survival rates.

Clinical Considerations for Competitive Sports Participation for Athletes With Cardiovascular Abnormalities: A Scientific Statement From the American Heart Association and American College of Cardiology

COLLABORATORS

Larry A. Allen, MD, MHS, FAHA, FACC; Mats Börjesson, MD, PhD, FACC; Alan C. Braverman, MD, FACC; Julie A. Brothers, MD; Silvia Castelletti, MD, MSc, FESC; Eugene H. Chung, MD, MPH, FHRS, FAHA, FACC; Timothy W. Churchill, MD, FACC; Guido Claessen, MD, PhD; Flavio D'Ascenzi, MD, PhD; Douglas Darden, MD; Peter N. Dean, MD, FACC; Neal W. Dickert, MD, PhD, FACC; Jonathan A. Drezner, MD; Katherine E. Economy, MD, MPH; Thijs M.H. Eijsvogels, PhD; Michael S. Emery, MD, MS, FACC; Susan P. Etheridge, MD, FHRS, FAHA, FACC; Sabiha Gati, BSc (Hons), MBBS, PhD, MRCP, FESC; Belinda Gray, BSc (Med), MBBS, PhD; Martin Halle, MD; Kimberly G. Harmon, MD; Jeffrey J. Hsu, MD, PhD, FAHA, FACC; Richard J. Kovacs, MD, FAHA, MACC; Sheela Krishnan, MD, FACC; Mark S. Link, MD, FHRS, FAHA, FACC; Martin Maron, MD; Silvana Molossi, MD, PhD, FACC; Antonio Pelliccia, MD; Jack C. Salerno, MD, FACC, FHRS; Ankit B. Shah, MD, MPH, FACC; Sanjay Sharma, BSc (Hons), MBChB, MRCP (UK), MD; Tamanna K. Singh, MD, FACC; Katie M. Stewart, NP, MS; Paul D. Thompson, MD, FAHA, FACC; Meagan M. Wasfy, MD, MPH, FACC; Matthias Wilhelm, MD.

This American Heart Association/American College of Cardiology scientific statement on clinical considerations for competitive sports participation for athletes with cardiovascular abnormalities or diseases is organized into 11 distinct sections focused on sports-specific topics or disease processes that are relevant when considering the potential risks of adverse cardiovascular events, including sudden cardiac arrest, during competitive sports participation. Task forces comprising international experts in sports cardiology and the respective topics covered were assigned to each section and prepared specific clinical considerations tables for practitioners to reference. Comprehensive literature review and an emphasis on shared decision-making were integral in the writing of all clinical considerations presented.

Electrocardiogram screening for school children: a cross-sectional, population-based study

BACKGROUND

Identification of life-threatening arrhythmogenic disorders, which may present during infancy, childhood, or later stages, enables the early initiation of effective preventive therapies. Electrocardiogram (ECG) screening may detect conditions that elevate risk of sudden cardiac death (SCD) at an early stage.

OBJECTIVES

This study aims to assess the prevalence, clinical significance, and characteristics of ECG abnormalities in a large population of schoolchildren. It also aims to determine whether ECGs performed during childhood can aid in the early detection of conditions associated with the risk of SCD.

DESIGN

Population-based cross-sectional study.

SETTING

A multicenter study conducted at King Faisal Specialist Hospital & Research Centre (KFSHRC) in Riyadh and Prince Sultan Cardiac Center-Qassim (PSCC-Q), Qassim, Saudi Arabia.

METHODS

The study analyzed 12-lead ECGs performed on elementary school students 6-15 years old in Buraidah, Qassim region, Saudi Arabia. ECGs were recorded and interpreted following international standards. Children with abnormal ECG results were referred for full pediatric cardiology evaluation.

MAIN OUTCOME MEASURES

Prevalence of normal and abnormal ECG findings, including long QT intervals.

SAMPLE SIZE

14 403 students.

RESULTS

During the study period, ECGs were performed on 14 403 students (53.8% females). The mean age was 9.5±1.9 years, and the mean weight was 32.1±16.1 kg. Abnormal ECGs were identified in 468 students (3.3%), 271 of whom had complete clinical evaluation, including repeat ECG and echocardiography. The most common ECG abnormality was a prolonged QTc interval. The overall prevalence of abnormal ECG findings ranged from 0.7% to 2.04%, with long QTc intervals (460 msec or more) found in 0.4% to 1.6% of students.

CONCLUSIONS

Long QTc intervals (460 msec or more) were the most common ECG abnormality in school children, with an estimated prevalence of 0.4% to 1.6%. This study may serve as a model for large-scale, community-based, 12-lead ECG screening programs for children.

LIMITATIONS

Causality cannot be derived given the design, the potential for false positive and false-negative results, and the lack of genetic studies for children with prolonged QT intervals.

Exercise and Sports Participation in Pediatrics

The benefits of maintaining a physically active lifestyle in children and adolescents go beyond physical health, extending to improvements in social, mental, and emotional well-being. Focus is shifting from exercise restriction to exercise advocacy not only in the general population but also in patients with congenital and other types of heart disease. Pediatricians must be knowledgeable about the latest recommendations and debates regarding the preparticipation physical evaluation and exercise recommendations for a diverse population. This article provides a brief summary of exercise physiology and a review of worrisome symptoms with exercise. We then discuss preparticipation screening evaluations and review activity recommendations in children with heart disease with the goal of keeping as many young patients as active as possible for long-term cardiovascular health. [Pediatr Ann. 2025;54(2):e64-e69.].

Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement

Electrocardiography (ECG) signals can be considered as multivariable time series (TS). The state-of-the-art ECG data classification approaches, based on either feature engineering or deep learning techniques, treat separately spectral and time domains in machine learning systems. No spectral-time domain communication mechanism inside the classifier model can be found in current approaches, leading to difficulties in identifying complex ECG forms. In this article, we proposed a novel deep learning model named spectral cross-domain neural network (SCDNN) with a new block called soft-adaptive threshold spectral enhancement (SATSE), to simultaneously reveal the key information embedded in spectral and time domains inside the neural network. More precisely, the domain-cross information is captured by a general convolutional neural network (CNN) backbone, and different information sources are merged by a self-adaptive mechanism to mine the connection between time and spectral domains. In SATSE, the knowledge from time and spectral domains is extracted via the fast Fourier transformation (FFT) with soft trainable thresholds in modified sigmoid functions. The proposed SCDNN is tested with several classification tasks implemented on the public ECG databases PTB-XL and CPSC2018. SCDNN outperforms the state-of-the-art approaches with a low computational cost regarding a variety of metrics in all classification tasks on both databases, by finding appropriate domains from the infinite spectral mapping. The convergence of the trainable thresholds in the spectral domain is also numerically investigated in this article. The robust performance of SCDNN provides a new perspective to exploit knowledge across deep learning models from time and spectral domains. The code repository can be found: https://github.com/DL-WG/SCDNN-TS.

Cardiovascular Disease Screening in Primary School Children

BACKGROUND

Screening for cardiovascular disease (CVD) and its associated risk factors in childhood facilitates early detection and timely preventive interventions. However, limited data are available regarding screening tools and their diagnostic yield when applied in unselected pediatric populations.

AIMS

To evaluate the performance of a CVD screening program, based on history, 12-lead ECG and phonocardiography, applied in primary school children.

METHODS

The methods used were prospective study, with voluntary participation of third-grade primary school children in the region of Crete/Greece, over 6 years (2018-2024). Personal and family history were collected by using a standardized questionnaire and physical evaluation (including weight, height, blood pressure measurement), and cardiac auscultation (digital phonocardiography (PCG)) and 12-lead electrocardiogram (ECG) were recorded at local health stations (Phase I). Following expert verification of responses and obtained data, assisted by designated electronic health record with incorporated decision support algorithms (phase II), pediatric cardiology evaluation at the tertiary referral center followed (phase III).

RESULTS

A total of 944 children participated (boys 49.6%). A total of 790 (83.7%) had Phase I referral indication, confirmed in 311(32.9%) during Phase II evaluation. Adiposity (10.8%) and hypertension (3.2%) as risk factors for CVD were documented in 10.8% and 3.2% of the total population, respectively. During Phase III evaluations (n = 201), the majority (n = 132, 14% of total) of children were considered as having a further indication for evaluation by other pediatric subspecialties for their reported symptoms. Abnormal CVD findings were present in 69 (7.3%) of the study population, including minor/trivial structural heart disease in 23 (2.4%) and 17 (1.8%), respectively, referred due to abnormal cardiac auscultation, and ECG abnormalities in 29 (3%), of which 6 (0.6%) were considered potentially significant (including 1 case of genetically confirmed channelopathy-LQT syndrome).

CONCLUSIONS

CVD screening programs in school children can be very helpful for the early detection of CVD risk factors and of their general health as well. Expert cardiac auscultation and 12-lead ECG allow for the detection of structural and arrhythmogenic heard disease, respectively. Further study is needed regarding performance of individual components, accuracy of interpretation (including computer assisted diagnosis) and cost-effectiveness, before large-scale application of CVD screening in unselected pediatric populations.

Fine Tuning ECG Interpretation for Young Athletes: ECG Screening Using Z-score-based Analysis

BACKGROUND

Electrocardiograms (ECGs) in athletes commonly reveal findings related to physiologic adaptations to exercise, that may be difficult to discern from true underlying cardiovascular abnormalities. North American and European societies have published consensus statements for normal, borderline, and abnormal ECG findings for athletes, but these criteria are not based on established correlation with disease states. Additionally, data comparing ECG findings in athletes to non-athlete control subjects are lacking. Our objective was to compare the ECGs of collegiate athletes and non-athlete controls using Z-scores for digital ECG variables to better identify significant differences between the groups and to evaluate the ECG variables in athletes falling outside the normal range.

METHODS

Values for 102 digital ECG variables on 7206 subjects aged 17-22 years, including 672 athletes, from Hawaii Pacific Health, University of Hawaii, and Rady Children's Hospital San Diego were obtained through retrospective review. Age and sex-specific Z-scores for ECG variables were derived from normal subjects and used to assess the range of values for specific ECG variables in young athletes. Athletes with abnormal ECGs were referred to cardiology consultation and/or echocardiogram.

RESULTS

Athletes had slower heart rate, longer PR interval, more rightward QRS axis, longer QRS duration but shorter QTc duration, larger amplitude and area of T waves, prevalent R' waves in V1, and higher values of variables traditionally associated with left ventricular hypertrophy (LVH): amplitudes of S waves (leads V1-V2), Q waves (V6, III) and R waves (II, V5, V6). Z-scores of these ECG variables in 558 (83%) of the athletes fell within - 2.5 and 2.5 range derived from the normal population dataset, and 60 (8.9%) athletes had a Z-score outside the - 3 to 3 range. While 191 (28.4%) athletes met traditional voltage criteria for diagnosis of LVH on ECG, only 53 athletes (7.9%) had Z-scores outside the range of -2.5 to 2.5 for both S amplitude in leads V1-V2 and R amplitude in leads V5-6. Only one athlete was diagnosed with hypertrophic cardiomyopathy with a Z-score of R wave in V6 of 2.34 and T wave in V6 of -5.94.

CONCLUSION

The use of Z-scores derived from a normal population may provide more precise screening to define cardiac abnormalities in young athletes and reduce unnecessary secondary testing, restrictions and concern.

Prevalence of electrocardiographic abnormalities among Iranian children and adolescents and associations with blood pressure and obesity: findings from the SHED LIGHT study

BACKGROUND

There are few studies for detecting rhythm abnormalities among healthy children and adolescents. The aim of the study was to investigate the prevalence of abnormal electrocardiographic findings in the young Iranian population and its association with blood pressure and obesity.

METHODS

A total of 15084 children and adolescents were examined in a randomly selected population of Tehran city, Iran, between October 2017 and December 2018. Anthropometric values and blood pressure measurements were also assessed. A standard 12-lead electrocardiogram was recorded by a unique recorder, and those were examined by electrophysiologists.

RESULTS

All students mean age was 12.3 ± 3.1 years (6-18 years), and 52% were boys. A total of 2900 students (192.2/1000 persons; 95% confidence interval 186-198.6) had electrocardiographic abnormalities. The rate of electrocardiographic abnormalities was higher in boys than girls (p < 0.001). Electrocardiographic abnormalities were significantly higher in thin than obese students (p < 0.001), and there was a trend towards hypertensive individuals to have more electrocardiographic abnormalities compared to normotensive individuals (p = 0.063). Based on the multivariable analysis, individuals with electrocardiographic abnormalities were less likely to be girls (odds ratio 0.745, 95% confidence interval 0.682-0.814) and had a lower body mass index (odds ratio 0.961, 95% confidence interval 0.944-0.979).

CONCLUSIONS

In this large-scale study, there was a high prevalence of electrocardiographic abnormalities among young population. In addition, electrocardiographic findings were significantly influenced by increasing age, sex, obesity, and blood pressure levels. This community-based study revealed the implications of electrocardiographic screening to improve the care delivery by early detection.

Can we screen for heart disease in children at public health centres? A multicentre observational study of screening for heart disease with a risk of sudden death in children

Sudden cardiac death in children is a rare event, but of great social significance. Generally, it is related to heart disease with a risk of sudden cardiac death (SCD), which may occur with cardiovascular symptoms and/or electrocardiographic markers; thus, a primary care paediatrician (PCP) could detect them. Therefore, we proposed a study that assesses how to put into practice and conduct a cardiovascular assessment within the routine healthy-child check-ups at six and twelve years of age; that reflects cardiovascular signs and symptoms, as well as the electrocardiographic alterations that children with a risk of SCD in the selected population present; and that assesses the PCP's skill at electrocardiogram (ECG) interpretation. In collaboration with PCPs, primary care nurses, and paediatric cardiologists, an observational, descriptive, multicentre, cross-sectional study was carried out in the Balearic Islands (Spain), from April 2021 to January 2022, inclusive. The PCPs gathered patient data through forms (medical record, electrocardiogram, and physical examination) and sent them to the investigator, together with the informed consent document and electrocardiogram. The investigator passed the electrocardiogram on to the paediatric cardiologists for reading, in an identical form to those the paediatricians had filled in. The variables were collected, and a descriptive analysis performed. Three paediatric cardiologists, twelve PCPs, and nine nurses from seven public health centres took part. They collected the data from 641 patients, but 233 patients did not participate (in 81.11% due to the PCP's workload). Therefore, the study coverage was around 64%, representing the quotient of the total number of patients who participated, divided by the total number of patients who were eligible for the study. We detected 30 patients with electrocardiographic alterations compatible with SCD risk. Nine of these had been examined by a paediatric cardiologist at some time (functional murmur in 8/9), five had reported shortness of breath with exercise, and four had reported a family history of sudden death. The physical examination of all the patients whose ECG was compatible with a risk of SCD was normal. Upon analysing to what extent the ECG results of the PCP and the paediatric cardiologist agreed, the percentage of agreement in the final interpretation (normal/altered) was 91.9%, while Cohen's kappa coefficient was 31.2% (CI 95%: 13.8-48.6%). The sensitivity of the ECG interpretation by the PCP to detect an ECG compatible with a risk of SCD was 29% and the positive predictive value 45%.     Conclusions: This study lays the foundations for future SCD risk screening in children, performed by PCPs. However, previously, it would be important to optimise their training in reading and interpreting paediatric ECGs. What is Known: • In Spain at present, there is a programme in place to detect heart disease with a risk of sudden death [1], but it targets only children who are starting on or are doing a physical activity as a federated sport. Implementing such screening programmes has proven effective in several countries [2]. However, several studies showed that the incidence of sudden cardiac death is no higher in children competing in sport activities than in those who do not do any sport [3]. This poses an ethical conflict, because at present, children who do not do any federated sport are excluded from screening. According to the revised literature, so far, only in two studies did they screen the child population at schools, and in both, they successfully detected patients with heart disease associated to the risk of sudden death [4, 5]. We have found no studies where the screening of these features was included within the routine healthy-child check-ups by primary care paediatricians. What is New: • We did not know whether-in our setting, at present-the primary care paediatrician could perform a screening method within the routine healthy-child check-ups, in order to detect presumably healthy children at risk of sudden cardiac death, as they present one of the SCD risks. In this regard, we proposed our project: to assess how to put into practice and conduct a cardiovascular assessment via SCD risk screening in the healthy child population by primary care paediatricians and appraise primary care paediatricians' skills in identifying the electrocardiographic alterations associated with SCD risk. The ultimate intention of this pilot study was to make it possible, in the future, to design and justify a study aimed at universalising cardiovascular screening and achieving a long-term decrease in sudden cardiac death events in children.

Hypertension in Athletes: Clinical Implications and Management Strategies

Hypertension is a leading cardiovascular risk factor in athletes. Sport-specific behaviors including nonsteroidal anti-inflammatory use, stimulant use, and unhealthy diets may promote hypertension among athletes. Strength-trained athletes may be more susceptible to hypertension than endurance-trained athletes, although this may, in part, be due to body size differences and the more potent antihypertensive effects of aerobic exercise. With confirmed hypertension, young athletes require secondary hypertension evaluation while older athletes require full cardiovascular risk stratification. Calcium channel blockers and renin-angiotensin-system inhibitors are often preferred pharmacotherapy agents. Further selection of antihypertensives must include consideration of potential side effects and legality in specific sports.

Cardiovascular Screening before Sports Participation: Results of 11487 Children

AIM

In this study, it is aimed to analyze the data of children who were referred to our clinic for pre-participation sports screening.

METHODS

Data, between September 2017 and December 2021, had been analyzed. All these subjects had been questioned for their personal and family medical stories and examined for cardiovascular system findings. Electrocardiography (ECG) and echocardiography were applied to all of them.

RESULTS

11487 children were consulted to the cardiology clinic for pre-sports participation screening. The mean age was 12.7±4,57 (7-18 years). 34/11487(0,29%) subjects weren't allowed to participate in sports activities at first. In 23 of 34 subjects, cardiac arrhythmias were established. 15 had Wolff-Parkinson-White (WPW) syndrome, 3 subjects had ventricular extrasystole, and also ventricular tachycardia in one of them. Four subjects had long QT syndrome and one had ST elevation with the pre-diagnosis of coronary artery disease. ECG screening alone aided in identifying asymptomatic (0.05%) that could have been potentially at risk for sudden cardiac death.

CONCLUSION

Positive ECG and echocardiography findings involve a very little ratio.But ECG involves an important tool for screening lethal cardiac arrhythmias in asymptomatic patients.If ECG or echocardiography couldn't be taken, further evaluation should be necessary with symptoms and/or family history.

Comparison of Machine Learning Algorithms Using Manual/Automated Features on 12-Lead Signal Electrocardiogram Classification: A Large Cohort Study on Students Aged Between 6 to 18 Years Old

PROPOSE

An electrocardiogram (ECG) has been extensively used to detect rhythm disturbances. We sought to determine the accuracy of different machine learning in distinguishing abnormal ECGs from normal ones in children who were examined using a resting 12-Lead ECG machine, and we also compared the manual and automated measurement using the modular ECG Analysis System (MEANS) algorithm of ECG features.

METHODS

Altogether, 10745 ECGs were recorded for students aged 6 to 18. Manual and automatic ECG features were extracted for each participant. Features were normalized using Z-score normalization and went through the student's t-test and chi-squared test to measure their relevance. We applied the Boruta algorithm for feature selection and then implemented eight classifier algorithms. The dataset was split into training (80%) and test (20%) partitions. The performance of the classifiers was evaluated on the test data (unseen data) by 1000 bootstrap, and sensitivity (SEN), specificity (SPE), AUC, and accuracy (ACC) were reported.

RESULTS

In univariate analysis, the highest performance was heart rate and RR interval in the manual dataset and heart rate in an automated dataset with AUC of 0.72 and 0.71, respectively. The best classifiers in the manual dataset were random forest (RF) and quadratic-discriminant-analysis (QDA) with AUC, ACC, SEN, and SPE equal to 0.93, 0.98, 0.69, 0.99, and 0.90, 0.95, 0.75, 0.96, respectively. In the automated dataset, QDA (AUC: 0.89, ACC:0.92, SEN:0.71, SPE:0.93) and stack learning (SL) (AUC:0.89, ACC:0.96, SEN:0.61, SPE:0.99) reached best performances.

CONCLUSION

This study demonstrated that the manual measurement of 12-Lead ECG features had better performance than the automated measurement (MEANS algorithm), but some classifiers had promising results in discriminating between normal and abnormal cases. Further studies can help us evaluate the applicability and efficacy of machine-learning approaches for distinguishing abnormal ECGs in community-based investigations in both adults and children.

Machine Learning Electrocardiogram for Mobile Cardiac Pattern Extraction

BACKGROUND

Internet-of-things technologies are reshaping healthcare applications. We take a special interest in long-term, out-of-clinic, electrocardiogram (ECG)-based heart health management and propose a machine learning framework to extract crucial patterns from noisy mobile ECG signals.

METHODS

A three-stage hybrid machine learning framework is proposed for estimating heart-disease-related ECG QRS duration. First, raw heartbeats are recognized from the mobile ECG using a support vector machine (SVM). Then, the QRS boundaries are located using a novel pattern recognition approach, multiview dynamic time warping (MV-DTW). To enhance robustness with motion artifacts in the signal, the MV-DTW path distance is also used to quantize heartbeat-specific distortion conditions. Finally, a regression model is trained to transform the mobile ECG QRS duration into the commonly used standard chest ECG QRS durations.

RESULTS

With the proposed framework, the performance of ECG QRS duration estimation is very encouraging, and the correlation coefficient, mean error/standard deviation, mean absolute error, and root mean absolute error are 91.2%, 0.4 ± 2.6, 1.7, and 2.6 ms, respectively, compared with the traditional chest ECG-based measurements.

CONCLUSIONS

Promising experimental results are demonstrated to indicate the effectiveness of the framework. This study will greatly advance machine-learning-enabled ECG data mining towards smart medical decision support.

Standardized Database of 12-Lead Electrocardiograms with a Common Standard for the Promotion of Cardiovascular Research: KURIAS-ECG

OBJECTIVES

Electrocardiography (ECG)-based diagnosis by experts cannot maintain uniform quality because individual differences may occur. Previous public databases can be used for clinical studies, but there is no common standard that would allow databases to be combined. For this reason, it is difficult to conduct research that derives results by combining databases. Recent commercial ECG machines offer diagnoses similar to those of a physician. Therefore, the purpose of this study was to construct a standardized ECG database using computerized diagnoses.

METHODS

The constructed database was standardized using Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) and Observational Medical Outcomes Partnership-common data model (OMOP-CDM), and data were then categorized into 10 groups based on the Minnesota classification. In addition, to extract high-quality waveforms, poor-quality ECGs were removed, and database bias was minimized by extracting at least 2,000 cases for each group. To check database quality, the difference in baseline displacement according to whether poor ECGs were removed was analyzed, and the usefulness of the database was verified with seven classification models using waveforms.

RESULTS

The standardized KURIAS-ECG database consists of high-quality ECGs from 13,862 patients, with about 20,000 data points, making it possible to obtain more than 2,000 for each Minnesota classification. An artificial intelligence classification model using the data extracted through SNOMED-CT showed an average accuracy of 88.03%.

CONCLUSIONS

The KURIAS-ECG database contains standardized ECG data extracted from various machines. The proposed protocol should promote cardiovascular disease research using big data and artificial intelligence.

Protecting the stars of tomorrow: do international cardiovascular preparticipation screening policies account for the paediatric athlete? A systematic review and quality appraisal

OBJECTIVE

(1) Identify and review current policies for the cardiovascular screening of athletes to assess their applicability to the paediatric population and (2) evaluate the quality of these policy documents using the Appraisal of Guidelines for Research & Evaluation II (AGREE II) tool.

DESIGN

Systematic review and quality appraisal of policy documents.

DATA SOURCES

A systematic search of PubMed, MEDLINE, Scopus, Web of Science, SportDiscus and CINAHL.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

An article was included if it was a policy/position statement/guideline/consensus or recommendation paper relating to athletes and cardiovascular preparticipation screening.

RESULTS AND SUMMARY

Of the 1630 articles screened, 13 met the inclusion criteria. Relevance to paediatric athletes was found to be high in 3 (23%), moderate in 6 (46%) and low in 4 (31%), and only 2 provide tailored guidance for the athlete aged 12-18 years. A median 5 related citations per policy investigated solely paediatric athletes, with study designs most commonly being retrospective (72%). AGREEII overall quality scores ranged from 25% to 92%, with a median of 75%. The lowest scoring domains were rigour of development; (median 32%) stakeholder involvement (median 47%) and Applicability (median 52%).

CONCLUSION

Cardiac screening policies for athletes predominantly focus on adults, with few providing specific recommendations for paediatric athletes. The overall quality of the policies was moderate, with more recent documents scoring higher. Future research is needed in paediatric athletes to inform and develop cardiac screening guidelines, to improve the cardiac care of youth athletes.

Increasing Utilization of the Preparticipation Physical Evaluation

OBJECTIVE

The American Heart Association and American Academy of Pediatrics endorse the preparticipation physical evaluation (PPE) to screen student athletes for the risk of sudden cardiac arrest. We sought to identify barriers precluding its use and improve utilization.

METHODS

We analyzed documentation of PPE elements during well-care visits of patients aged 12 to 18 years from 5 primary care practices. Employing quality improvement (QI) methodology, we focused on improving PPE utilization in 1 practice by assessing the number of PPE elements addressed per chart. We expanded our QI project to 4 additional practices by using the same interventions but assessing the percentage of charts that had a complete PPE documented.

RESULTS

A baseline analysis of 5 targeted practices revealed an average of 3.5 of 14 PPE elements documented. Using plan-do-study-act cycles, PPE elements addressed increased from 2.5 to 14 over an 18-month period in the initial practice. By spreading successful interventions to 4 other practices, complete PPE utilization increased from a median baseline of 10.0% to a median of 70.0% over a 12-month period. Postintervention, 12 of 16 patients (75%) required additional follow-up with pediatric cardiology beyond the initial consultation, as compared with 2 of 14 patients (14%) preintervention.

CONCLUSION

The PPE is an underutilized but effective tool in screening student athletes for sudden cardiac arrest. QI methodology was helpful in increasing the use of PPE in the primary care setting.

Does cardiovascular preparticipation screening cause psychological distress in athletes? A systematic review

OBJECTIVE

To evaluate the psychological implications of cardiovascular preparticipation screening (PPS) in athletes.

DESIGN

Systematic review.

DATA SOURCES

MEDLINE, EMBASE, PubMed, CINAHL, SPORTDiscus, APA PsycInfo, Cochrane Library and grey literature sources.

STUDY ELIGIBILITY CRITERIA

Observational and experimental studies assessing a population of athletes who participated in a cardiovascular PPS protocol, where psychological outcomes before, during and/or after PPS were reported.

METHODS

Results of included studies were synthesised by consolidating similar study-reported measures for key psychological outcomes before, during and/or after screening. Summary measures (medians, ranges) were computed across studies for each psychological outcome.

RESULTS

A total of eight studies were included in this review (median sample size: 479). Study cohorts consisted of high school, collegiate, professional and recreational athletes (medians: 59% male, 20.5 years). Most athletes reported positive reactions to screening and would recommend it to others (range 88%-100%, five studies). Increased psychological distress was mainly reported among athletes detected with pathological cardiac conditions and true-positive screening results. In comparison, athletes with false-positive screening results still reported an increased feeling of safety while participating in sport and were satisfied with PPS. A universal conclusion across all studies was that most athletes did not experience psychological distress before, during or after PPS, regardless of the screening modality used or accuracy of results.

CONCLUSION

Psychological distress associated with PPS in athletes is rare and limited to athletes with true-positive findings. To mitigate downstream consequences in athletes who experience psychological distress, appropriate interventions and resources should be accessible prior to the screening procedure.

PROSPERO REGISTRATION NUMBER

CRD42021272887.

Sudden Cardiac Death in Young Individuals: A Current Review of Evaluation, Screening and Prevention

Sudden cardiac death (SCD) can affect all age groups, including young persons. While less common in the age < 35 population, the occurrence of SCD in the young raises concern, with multiple possible etiologies and often unanswered questions. While coronary artery disease is the leading cause in those > 35 years of age, the younger population faces a different subset of pathologies associated with SCD, including arrhythmias and cardiomyopathies. The tragic nature of SCD in the young entails that we explore and implement available screening methods for this population, and perform the necessary investigations such as electrocardiography (ECG) and echocardiography. In this review, we not only explore the vast etiology associated with SCD in those age < 35, but emphasize evaluation methods, who is at risk, and delve into screening of SCD in potential victims and their family members, in an attempt to prevent this traumatic event. Future research must work towards establishing preventative measures in order to reduce SCD, particularly unexplained SCD in the young.

Preparticipation State Cardiac Screening Forms for Athletes

BACKGROUND AND OBJECTIVES

Annual preparticipation physical evaluation (PPE) is used in the United States to screen adolescents for potential causes of sudden cardiac death. The American Heart Association recommends 14 screening elements of history and physical examination. This study sought to define the utilization of these screening elements by each of the 50 states before high school athletics.

METHODS

PPE forms were obtained from the public website of the high school athletics governing body in every state. Form content was analyzed to identify which of the 14 screening elements were explicitly fulfilled. Additional PPE forms provided by private/parochial schools, other professional societies, or independent groups were excluded from this study.

RESULTS

A total of 48 states (96%) had PPE forms posted online. The remaining 2 states (4%) deferred the specific method of PPE documentation to individual school districts and provided no standardized form. Of the 48 states providing PPE forms, 13 (27%) included all 14 American Heart Association screening elements. The median criteria included by each state was 11 (range 3-14). The 3 criteria most commonly absent were (1) the examination of femoral pulses to exclude coarctation (58%), (2) a family history of specific inherited cardiac disease (31%), and (3) personal history of hypertension (27%).

CONCLUSIONS

Annual preparticipation forms are important screening tools. Only a minority of states include all 14 cardiac screening elements recommended by the American Heart Association.

Sudden death in young athletes: Is it preventable?

Sudden death in young athletes is a rare but always dramatic condition. Unlike all other rare diseases, the estimate of its real incidence is made complex not only because of the uncertain number of correctly identified cases (numerator) but also because of the uncertain estimation of the real number of the reference population, the athletes (denominator). New elements of complexity are also emerging with regard to prevention. The current two pillars of prevention are pre-participation screening (proactive strategy) and promoting use / access to the automated external defibrillator (reactive strategy). The standardization of procedures implemented over the past two decades for pre-participation screening can now allow us to assess the impact of this approach. The result is complex to evaluate. While screening may allow the identification of conditions potentially associated with SDA, and therefore the adoption of specific treatments, in about 0.4% of screened subjects, a single study investigated the yield in terms of mortality showing a positive predictive value of 4.7% with 25% sensitivity. Conversely, the reactive strategy appears considerably effective, due to the widespread use of the automated external defibrillators in sports facilities, calling for a homogeneous implementation worldwide. On a broader perspective, the vast attention devoted to SDA prevention in the world of sports represents a major driver for transfer of a reactive prevention strategy to the general population.

Automatic Detection of Left Ventricular Dilatation and Hypertrophy from Electrocardiograms Using Deep Learning

Left ventricular dilatation (LVD) and left ventricular hypertrophy (LVH) are risk factors for heart failure, and their detection improves heart failure screening. This study aimed to investigate the ability of deep learning to detect LVD and LVH from a 12-lead electrocardiogram (ECG). Using ECG and echocardiographic data, we developed deep learning and machine learning models to detect LVD and LVH. We also examined conventional ECG criteria for the diagnosis of LVH. We calculated the area under the receiver operating characteristic (AUROC) curve, sensitivity, specificity, and accuracy of each model and compared the performance of the models. We analyzed data for 18,954 patients (mean age (standard deviation): 64.2 (16.5) years, men: 56.7%). For the detection of LVD, the value (95% confidence interval) of the AUROC was 0.810 (0.801-0.819) for the deep learning model, and this was significantly higher than that of the logistic regression and random forest methods (P < 0.001). The AUROCs for the logistic regression and random forest methods (machine learning models) were 0.770 (0.761-0.779) and 0.757 (0.747-0.767), respectively. For the detection of LVH, the AUROC was 0.784 (0.777-0.791) for the deep learning model, and this was significantly higher than that of the logistic regression and random forest methods and conventional ECG criteria (P < 0.001). The AUROCs for the logistic regression and random forest methods were 0.758 (0.751-0.765) and 0.716 (0.708-0.724), respectively. This study suggests that deep learning is a useful method to detect LVD and LVH from 12-lead ECGs.

Electro- and echocardiographic features of left ventricle hypertrophy in patients with hypertrophic cardiomyopathy

Background

Standard 12‐lead electrocardiogram (ECG), next to medical history and physical examination, is a basic screening tool for hypertrophic cardiomyopathy in General practice. There are many electrocardiographic criteria of left ventricular hypertrophy, but their accuracy is usually weak in patients with systemic hypertension or aortic stenosis. Sensitivity of these criteria in patients with HCM has not been well described.

Aim

To assess the prevalence of electrocardiographic criteria for LVH in patients with HCM and their relationship with echocardiographic parameters.

Material and methods

A total of 49 patients with HCM (mean age 53.2 ± 15.4 years; men/women: 31/18) were enrolled to study. Eight electrocardiographic criteria for LVH were evaluated and correlated with echocardiographic parameters.

Results

The ECG features of LVH were found in 36 (73.5%) subjects. These patients had increased thickness of intraventricular septum (20.5 ± 4.7 vs. 17.3 ± 3.2 mm, p = .03), LVM (340.5 ± 104.8 vs. 264.0 ± 61.5 g; p = .02), and LVMI (178.9 ± 48.8 vs. 125.9 ± 22.5; p = .002). All of ECG criteria for LVH had low sensitivity (14.3%–40.8%) for LVH diagnosis confirmed by echocardiography. The most common positive criterion was Cornell Voltage (20 patients; 40.8%). A total of 41 (83.4%) patients had T‐wave inversion in limb and/or precordial leads. LVMI correlated positively with R‐wave amplitude in aVL (R = 0.34; p = .03), Gubner‐Ungerleider voltage (R = 0.4; p = .009), and Cornell Voltage (R = 0.31; p = .04).

Conclusion

ECG criteria for LVH are characterized by poor sensitivity in patients with HCM. Cornell Voltage and criteria based on limb leads correlate positively with LVMI.

Risk Factors for Sudden Death in Athletes, Is There a Role for Screening?

Purpose of Review

Sudden cardiac death (SCD) in a young athlete is an infrequent yet devastating event often associated with substantial media attention. Screening athletes for conditions associated with SCD is a controversial topic with debate surrounding virtually each component including the ideal subject, method, and performer/interpreter of such screens. In fact, major medical societies such as the American College of Cardiology/American Heart Association and the European Society of Cardiology have discrepant recommendations on the matter, and major sporting associations have enacted a wide range of screening policies, highlighting the confusion on this subject. This review seeks to summarize the literature in this area to address the complex and disputed subject of screening young athletes for SCD.

Recent Findings

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can cause myocarditis, which is one acquired cardiac disease associated with SCD. The coronavirus 2019 (COVID-19) pandemic has therefore resulted in an increased incidence of an otherwise less common condition, providing an expanded dataset for further study of this condition. Recent findings indicate that cardiac complications of athletes with myocardial involvement of SARS-CoV-2 infection are rare. Other contemporary work in SCD screening has been focused on the implementation of various screening protocols and measuring their effectiveness.

Summary

No universal consensus exists for athlete screening for conditions associated with SCD with varying guidelines and protocols across cardiology and sport-specific organizations. No screening program will prevent all SCD; however, small programs managed by physicians familiar with the examination of an athlete that carefully personalize screening to the individual may maximize detection of dangerous cardiac conditions while minimizing false positives.

High Number of Medical Conditions Detected in Elite Athlete Periodic Health Evaluations, But Only Mild Consequences

OBJECTIVE

To evaluate the number of medical conditions detected by periodic health evaluations (PHEs) in elite athletes, and their consequences for management and medical clearance.

DESIGN

Retrospective design.

PARTICIPANTS

Elite athletes of various sports in a high-performance program in The Netherlands, in the period between 2009 and 2020.

INTERVENTIONS

The PHEs consisted of a questionnaire, general and musculoskeletal physical examination, laboratory blood test, electrocardiogram, pulmonary function testing, and (cardiopulmonary) exercise test.

MAIN OUTCOME MEASURES

We extracted and analyzed the medical conditions that led to advice, clinical follow-up, further diagnostic investigation or treatment, and the medical clearance status of the athlete (clearance, temporarily no clearance, or permanently no clearance).

RESULTS

We included 721 PHEs of 451 elite athletes. We found 1389 medical conditions that led to advice (n = 923, 66%), clinical follow-up (n = 124, 9%), further diagnostic investigation (n = 190, 14%), treatment (n = 132, 10%), or sports restriction (n = 20, 1%). Only 20 cases (3%) led to temporarily no medical clearance. After further investigation or treatment, no permanent sports restriction was imposed on any of the athletes.

CONCLUSIONS

We found a high number of medical conditions detected with a PHE in elite athletes. However, the vast majority of detected conditions were mild, with consequences limited to preventive advice and follow-up. The yield of PHE to detect (potentially) severe pathological conditions seems low. Clinical relevance of PHE in elite athletes and potential future health benefits remain unclear.

Limited diagnostic value of questionnaire-based pre-participation screening algorithms: a "risk-exposed" approach to sports activity

BACKGROUND

Several pre-participation screening algorithms (PPSAs) have been proposed to assess sports eligibility in different populations. They are usually based on self-administered questionnaires, without further medical assessment if no risk factors are documented. The Med-Ex "Formula Benessere" worksite program includes a complete cardiovascular (CV) screening for all participants. The purpose of this study was to assess PPSAs accuracy in detecting medical and/or CV abnormalities in the general population, comparing the results with the date derived from Med-Ex program.

METHODS

The Med-Ex medical evaluation, consisting of medical history, physical examination (including body composition), resting electrocardiogram (ECG) and exercise stress test in 464 male subjects (38.4 aged) was analyzed and matched to several PPSAs - Physical Activity Readiness Questionnaire (PAR-Q) (2002-2020), American Heart Association (AHA)/American College of Sport Medicine (ACSM) (1998-2009-2014-2015), European Association of Cardiovascular Prevention and Rehabilitation (EACPR) (2011) - retrospectively simulated.

RESULTS

Five-hundred and 67 abnormalities were detected though Med-Ex medical evaluation, and one-fourth (24%) would have been undetected applying PPSA alone. In particular 28% of high blood pressure, 21% of impaired fasting glycaemia, 21% of high Body Mass Index (BMI) values and 19% of ECG abnormalities would have been missed, on average, by all PPSAs.

CONCLUSIONS

The simulation analysis model performed in this study allowed to highlight the limits of PPSAs in granting sport eligibility, compared to a medical-guided CV screening. These findings emphasize the importance of a more balanced approach to pre-participation screening that includes a thorough evaluation of the cost/benefit ratio.

Self-Reporting Technique-Based Clinical-Trial Service Platform for Real-Time Arrhythmia Detection

The analysis of the electrocardiogram (ECG) is critical for the diagnosis of arrhythmias. Recent advances in information and communications technology (ICT) have led to the development of wearable ECG devices and arrhythmia-detection algorithms. This study aimed to develop an ICT-based clinical trial service platform using a self-reporting technique for real-time arrhythmia detection. To establish a clinical-trial service platform, a mobile application (app), a demilitarized zone (DMZ), an internal network, and Amazon web services virtual private cloud (AWS-VPC) were developed. The ECG data acquired by a wearable device were transmitted to the mobile app, which collected the participants’ self-reported information. The mobile app transmitted raw ECG and self-reported data to the AWS-VPC and DMZ, respectively. In the AWS-VPC, the live-streaming and playback-reviewer services were operational to display the currently and previously acquired ECG data to clinicians through the web client. All the measured data were transmitted to the internal network, in which the arrhythmia-detection algorithm was executed and all the data were saved. The self-reporting technique and arrhythmia-detection algorithm are the key elements of this platform. In particular, subjective information of participants can be easily collected using a self-reporting technique. These features are particularly of critical importance for treating painless, sparsely occurring arrhythmias.

Experiences of athletes with arrhythmogenic cardiac conditions in returning to play

Background

Recommendations for return to play (RTP) for athletes with genetic (or congenital) heart diseases (GHD) predisposing to sudden cardiac death (SCD) have evolved from an initially paternalistic and conservative approach, to supporting a more flexible approach to decision-making. The experiences of athletes and their families during the RTP process are unknown.

Objective

To understand current RTP processes.

Methods

We administered a mixed-methods telephone interview combining quantitative and qualitative components to 30 athletes with a GHD who had RTP, and 23 parents. Participants were identified from the Yale ICD Sports registry and Mayo Clinic's Windland Smith Rice Genetic Heart Rhythm Clinic. Qualitative data were analyzed using a grounded theory approach to identify common themes.

Results

Most common diagnoses were long QT syndrome and hypertrophic cardiomyopathy and most common sports, soccer, basketball, and football. Twenty-three athletes encountered ≥1 perceived barrier(s) to RTP: 17 were restricted by their first cardiologist; 6 were required to meet with school administrators, 4 signed waivers, and 3 hired lawyers. Common themes expressed by athletes and their parents were frustration with poor communication, perceived lack of physician knowledge of their diagnosis, and unilateral, paternalistic decision-making, as well as cynicism that physicians and schools were primarily concerned with liability. After RTP, 26 athletes had some form of emergency action plan, although responsibility was often left to the family.

Conclusion

Many perceived barriers exist for athletes with GHD who wish to RTP after their diagnoses. Shared decision-making from the onset is critical for RTP.

Physician Training for Electrocardiogram Interpretation: A Systematic Review and Meta-Analysis

PURPOSE

Using electrocardiogram (ECG) interpretation as an example of a widely taught diagnostic skill, the authors conducted a systematic review and meta-analysis to demonstrate how research evidence on instruction in diagnosis can be synthesized to facilitate improvement of educational activities (instructional modalities, instructional methods, and interpretation approaches), guide the content and specificity of such activities, and provide direction for research.

METHOD

The authors searched PubMed/MEDLINE, Embase, Cochrane CENTRAL, PsycInfo, CINAHL, ERIC, and Web of Science databases through February 21, 2020, for empirical investigations of ECG interpretation training enrolling medical students, residents, or practicing physicians. They appraised study quality with the Medical Education Research Study Quality Instrument and pooled standardized mean differences (SMDs) using random effects meta-analysis.

RESULTS

Of 1,002 articles identified, 59 were included (enrolling 17,251 participants). Among 10 studies comparing instructional modalities, 8 compared computer-assisted and face-to-face instruction, with pooled SMD 0.23 (95% CI, 0.09, 0.36) indicating a small, statistically significant difference favoring computer-assisted instruction. Among 19 studies comparing instructional methods, 5 evaluated individual versus group training (pooled SMD -0.35 favoring group study [95% CI, -0.06, -0.63]), 4 evaluated peer-led versus faculty-led instruction (pooled SMD 0.38 favoring peer instruction [95% CI, 0.01, 0.74]), and 4 evaluated contrasting ECG features (e.g., QRS width) from 2 or more diagnostic categories versus routine examination of features within a single ECG or diagnosis (pooled SMD 0.23 not significantly favoring contrasting features [95% CI, -0.30, 0.76]). Eight studies compared ECG interpretation approaches, with pooled SMD 0.92 (95% CI, 0.48, 1.37) indicating a large, statistically significant effect favoring more systematic interpretation approaches.

CONCLUSIONS

Some instructional interventions appear to improve learning in ECG interpretation; however, many evidence-based instructional strategies are insufficiently investigated. The findings may have implications for future research and design of training to improve skills in ECG interpretation and other types of visual diagnosis.

Electrocardiogram Risk Score and Prevalence of Subclinical Atherosclerosis: A Cross-Sectional Study

Integrated abnormal electrocardiogram (ECG) parameters predict the risk of cardiovascular disease (CVD); however, its relationship with subclinical CVD is unknown. We aimed to evaluate the association between the integrated ECG risk score and the prevalence of coronary artery calcium (CAC). A cross-sectional study comprised 134,802 participants with no known CVD who underwent ECG and CAC computed tomography. The ECG risk score was the sum of five ECG abnormalities: heart rate of >80 beats, QRS of >110 ms, left ventricular hypertrophy, T-wave inversion, and prolonged QTc. A multinomial regression model was used to estimate the prevalence ratios (PRs) and their 95% confidence intervals (CIs) for prevalent CAC. The prevalence of CAC progressively increased as the ECG risk score increased. After adjustment for conventional CVD risk factors and other confounders, the multivariable-adjusted PRs (95% CI) for a CAC of 1−100 in the 1, 2, and ≥3 ECG risk score groups were 1.06 (1.02−1.10), 1.12 (1.03−1.22), and 1.19 (1.00−1.42), respectively, while the corresponding PRs for a CAC of >100 were 1.03 (0.95−1.12), 1.44 (1.25−1.66), and 1.75 (1.33−2.29), respectively. Integrative ECG scoring may help identify individuals requiring lipid-lowering medications, even in young and asymptomatic populations.

Artificial Intelligence and Atrial Fibrillation

In the context of atrial fibrillation (AF), traditional clinical practices have thus far fallen short in several domains such as identifying patients at risk of incident AF or patients with concomitant undetected paroxysmal AF. Novel approaches leveraging artificial intelligence have the potential to provide new tools to deal with some of these old problems. In this review we focus on the roles of artificial intelligence-enabled ECG pertaining to AF, potential roles of deep learning (DL) models in the context of current knowledge gaps, as well as limitations of these models. One key area where DL models can translate to better patient outcomes is through automated ECG interpretation. Further, we overview some of the challenges facing AF screening and the harms and benefits of screening. In this context, a unique model was developed to detect underlying hidden AF from sinus rhythm and is discussed in detail with its potential uses. Knowledge gaps also remain regarding the best ways to monitor patients with embolic stroke of undetermined source (ESUS) and who would benefit most from oral anticoagulation. The AI-enabled AF model is one potential way to tackle this complex problem as it could be used to identify a subset of high-risk ESUS patients likely to benefit from empirical oral anticoagulation. Role of DL models assessing AF burden from long duration ECG data is also discussed as a way of guiding management. There is a trend towards the use of consumer-grade wristbands and watches to detect AF from photoplethysmography data. However, ECG currently remains the gold standard to detect arrythmias including AF. Lastly, role of adequate external validation of the models and clinical trials to study true performance is discussed. This article is protected by copyright. All rights reserved.

A review of the causes and risk factors for sudden unexpected death in the young

Sudden unexpected death in the young (SUDY) is a tragic event resulting in the fatality of seemingly healthy individuals between the ages of one and 40 years. Whilst studies have been performed on sudden unexpected death in infants, children, and adults respectively, little is known about trends in risk factors and causes of death of SUDY cases. Understanding the factors surrounding these deaths could lead to targeted interventions for at-risk individuals. Hence, a systematic approach to investigate the reported possible causes of SUDY was employed using three major databases and Primo, wherein 67 relevant articles were identified and 2 additional guidelines were read. Sudden unexpected death in epilepsy and sudden cardiac events were well-established causes of death with risk factors such as male predominance, substance use and a familial history identified. It was acknowledged that while the cause of death is established following post-mortem examination in many cases, some remain non-specific or undetermined. Considering the genetic etiology, these cases would be ideal candidates for molecular autopsies in the future. Thus, this review emphasized the significance of acquiring the relevant information to aid in resolving cause of death of these SUDY cases and subsequently highlighted the potential for further studies on risk factors and the value of molecular autopsies.

ECG evaluation in 11 949 Italian teenagers: results of screening in secondary school

AIM

There is lack of evidence regarding the screening role of ECG for sudden cardiac death (SCD) prevention. Our aim was to evaluate the prevalence of ECG abnormalities among teenagers according to sport participation and competitive status.

METHODS

Eleven thousand nine hundred and forty-nine Italian pupils from 179 secondary schools (13-19 years) were consecutively enrolled. ECG abnormalities were divided into minor and major. Medical history, clinical examination and sport activity information were acquired. Further evaluations were suggested in case of major ECG abnormalities. Follow-up was performed at 2 years.

RESULTS

N = 1945 (16%) pupils had ECG abnormalities. Major ECG abnormalities were detected in 13% of the cohort, minor in 34%. ECG abnormalities were more common in nonathletes compared with athletes. A diagnosis of cardiac disease was reached in 25 (1.6%) of the pupils with major ECG abnormalities.

CONCLUSION

ECG abnormalities are common among young populations and more prevalent in nonathletes. Among pupils with major ECG abnormalities 1.6% had a cardiac disease diagnosis. Our results are in line with the data supporting ECG screening in the general young population.

Fragmented QRS predicted major adverse cardiovascular events in patients with coronary artery disease and percutaneous coronary intervention, 10-years of follow-up

Aim    Identifying high-risk groups in patient with coronary artery disease (CAD) is critical for predicting future adverse events. fQRS has been shown to be related to major cardiovascular adverse events (MACE) in patients with CAD. However, predictive value of fQRS for more than 5 yrs has not been evaluated. This study examined the predictive value of fQRS in patients with CAD and percutaneous coronary intervention during a 10‑yrs period.Material and methods    Patients with CAD and percutaneous coronary intervention between March 2007 and May 2009 were included the study. An electrocardiogram was recorded following percutaneous coronary intervention and analyzed for the presence of fQRS. The fQRS pattern was defined as an additional spike inside the QRS complexes of at least two consecutive leads. Patients were followed for 10 yrs. A MACE was all-cause mortality or new-onset decompensated heart failure. Patients were divided into two groups according to presence or absence of MACE, and their clinical variables were compared.Results    Of 1261 patients included in the study, MACE developed in 374 (29.6 %). MACE (+) patients were older (p&lt;0.001), more likely to have diabetes mellitus (p=0.003), fQRS (p&lt;0.001), and ST-elevated myocardial infarction (STEMI) (p&lt;0.001). Multivariable Cox regression analysis revealed that age (p&lt;0.001), STEMI (p=0.001), fQRS (p=0.017), and elevated serum creatinine (p=0.001) were independent predictors of MACE.Conclusion    The presence of fQRS predicted MACE during 10 yrs of follow-up of patients with CAD and percutaneous coronary intervention.

The relationship between demographic features, anthropometric parameters, sleep duration, and physical activity with ECG parameters in Fasa Persian cohort study

Backgrounds

Cardiovascular Diseases (CVDs) are the first leading cause of death worldwide. The present study aimed to investigate the relationship between demographics, anthropometrics, sleep duration, physical activity, and ECG parameters in the Fasa Persian cohort study.

Methods

In this cross-sectional study, the basic information of 10,000 participants aged 35–70 years in the Fasa cohort study was used. The data used in this study included demographic data, main Electrocardiogram (ECG) parameters, anthropometric data, sleep duration, and physical activity. Data analysis was performed using t-test, chi-square, and linear regression model.

Results

Based on multivariate linear regression analysis results, increased age was significantly associated with all study parameters. Nevertheless, gender and body mass index showed no significant relationship with SV3 and PR. Wrist circumference, hip circumference and waist circumference significantly increased the mean values of the ECG parameters. However, sleep duration was not significantly associated with the ECG parameters. In addition, hypertension was major comorbidity, which was shown to increase the mean values of the ECG parameters.

Conclusion

Several factors affected the ECG parameters. Thus, to interpret ECGs, in addition to age and gender, anthropometric indices, physical activity, and previous history of comorbidities, such as hypertension and ischemic heart disease, should be taken into consideration.

Sudden Cardiac Death: The Most Feared but Potentially Preventable Presentation of Wolff-Parkinson-White Syndrome

Background. Wolff-Parkinson-White syndrome is an uncommon cardiac disorder characterized by the presence of one or more accessory pathways that predispose patients to frequent episodes of arrhythmias. The prognosis is usually good, but there is a lifetime risk of malignant arrhythmias and sudden cardiac death. Case Summary. A 25-year-old male presented a witnessed out-of-hospital cardiac arrest with ventricular fibrillation rhythm. Due to rapid initiation of prehospital advanced life support, return of spontaneous circulation was observed. During the transport to the hospital, an irregular wide complex tachycardia suggestive of preexcited atrial fibrillation with haemodynamic instability was also observed and a synchronized shock was applied. Baseline 12-lead electrocardiogram was compatible with sinus rhythm and ventricular preexcitation pattern. After clinical stabilization, an electrophysiological study was performed confirming the presence of a left anterolateral accessory pathway with a short antegrade effective refractory period. Successful radiofrequency catheter ablation was achieved. Discussion. The reported clinical case recalls fundamental features of the Wolff-Parkinson-White syndrome and outlines the increasing evidence and importance of the invasive risk stratification and even catheter ablation in asymptomatic patients who suffer from this uncommon disease that may have a dramatic and fatal initial clinical manifestation.

Diagnostic yield and cost analysis of electrocardiographic screening in Swiss paediatric athletes

OBJECTIVES

Athletes performing sports on high level are at increased risk for sudden cardiac death. This includes paediatric athletes, even though data on screening strategies in this age group remain scarce. This study aimed to assess electrocardiogram interpretation criteria in paediatric athletes and to evaluate the cost of screening.

METHODS

National, multicentre, retrospective, observational study on 891 athletes of paediatric age (<18 years) evaluated by history, physical examination and 12-lead electrocardiogram. The primary outcome measure was abnormal electrocardiogram findings according to the International Recommendations for Electrographic Interpretation in Athletes. The secondary outcome measure was cost of screening.

RESULTS

19 athletes (2.1%) presented abnormal electrocardiogram findings requiring further investigations, mainly abnormal T-wave inversion. These 19 athletes were predominantly males, performing endurance sports with a mean volume of 10 weekly hours for a mean duration of 6 years of training. Further investigations did not identify any relevant pathology. All athletes were cleared for competition with regular follow-up. Total costs of the screening were 108,860 USD (122 USD per athlete).

CONCLUSIONS

Our study using the International Recommendations for Electrographic Interpretation in Athletes identified a low count of abnormal findings in paediatric athletes, yet raising substantially the cost of screening. Hence, the utility of electrocardiogram-inclusive screening of paediatric athletes remains to be elucidated by longitudinal data.

Preparticipation medical evaluation for elite athletes: EFSMA recommendations on standardised preparticipation evaluation form in European countries

Sports medicine is a medical specialty that supports the performance of professional and amateur athletes while maintaining their health. Sports medicine professionals need to ensure the safe participation of athletes in sports activities achieved through a periodical preparticipation evaluation (PPE) and a regular medical monitoring of the athletes’ health in accordance with the latest recommendations regarding health condition and medical history, physical working capacity, training period and programme, recovery, nutrition, use of supplements, injuries prevention and safe return to play.

In order to harmonise these national variations in the content and application of the PPE, the EFSMA Scientific and Educational Commission proposes a ‘gold standard’ for elite athletes across Europe.

Important objectives of PPE are early detection and prevention of severe complications during sports activities both in leisure time and competitive sports. The PPE should entail the following diagnostic components: health status, anthropometry, functional and exercise capacity.

It is of utmost importance to develop and implement preventive strategies such as the PPE. Besides monitoring the health status of athletes, the PPE plays an important role in the selection process, bringing valuable information for coaches and supporting a personalised treatment approach. Screening of athletes through a standardised digital PPE could be beneficial for a better understanding of the impact of long-term physical activity. Furthermore, PPE leads the scientific community to a way of working closer together in the interest of the athletes.

Differences in American Athletes Undergoing Preparticipation Examination by Sex, Participation Level, and Age

OBJECTIVE

To describe the preparticipation examination findings among American athletes by sex, participation level, and age.

DESIGN

Hypothesis-generating retrospective cohort study.

SETTING

Saint-Luke's Athletic Heart Center, Kansas City, Missouri.

PARTICIPANTS

A total of 2954 student athletes.

INTERVENTIONS

Athletes underwent preparticipation examination, which included history and physical, electrocardiogram, and 2-D transthoracic echocardiogram.

MAIN OUTCOME MEASURES

Differences noted on screening preparticipation examination by sex, participation level, and age.

RESULTS

Female athletes reported more symptoms than male athletes (odds ratio [OR] = 1.61; 95% confidence interval [CI], 1.32-1.97; P < 0.0001) but had lower prevalence of abnormal electrocardiogram (OR 0.52; CI, 0.39-0.68; P < 0.0001). College athletes reported fewer symptoms than novice athletes (OR 0.35; CI, 0.29-0.43; P < 0.0001) with no difference in the prevalence of abnormal electrocardiography (ECG) (OR 0.96; CI, 0.73-1.26; P = 0.78). Older athletes reported fewer symptoms than younger athletes (OR 0.61; CI, 0.52-0.71; P < 0.0001) with no difference in the prevalence of abnormal ECG (OR 1.00; CI, 0.81-1.23; P = 0.89). There were 43 athletes with clinically important findings with no difference in prevalence of these findings across sex, participation level, and age.

CONCLUSIONS

Among this American cohort of athletes, male athletes reported fewer symptoms and had higher prevalence of abnormal ECG findings compared with female athletes. College and older athletes reported fewer symptoms and had no difference in prevalence of abnormal ECG findings compared with novice and younger athletes, respectively. Despite these differences between groups, the prevalence of clinically important findings was comparable among groups.

Sudden cardiac death in sports: could we save Pheidippides?

Hereditary diseases under the age of 35 are the most common underlying heart disease, leading to sudden cardiac death (SCD) in competitive sports, while in older people, atherosclerotic coronary artery disease (CAD) is the main cause. The following preventive measures are recommended: (a) The pre-participation cardiovascular screening, (b) the genetic testing, (c) the use of implantable cardioverter-defibrillator (ICD), (d) the prohibition of doping in sports, (e) the prevention of 'exercise-induced' cardiac complications, (f) the reduction of high-risk factors for CAD, and (g) the use of cardiopulmonary resuscitation. The cost-effectiveness of the electrocardiograms in the pre-participation screening programs remains questionable. Genetic testing is recommended in borderline cases and positive family history. Athletes with ICD can, under certain conditions, participate in competitive sports. Excessive endurance exercise appears to harm the endothelium, promotes inflammatory processes and leads to fibrosis in the myocardium, and calcium deposition in the coronary vessels. Cardiac arrest may be reversed if cardiopulmonary resuscitation is performed and a defibrillator is immediately used. Thus, equipping all fields with automatic external defibrillators are recommended.

Current Recommendations on Returning to Youth Sports After COVID-19 Infection

Children represent a small fraction of total cumulative cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The potential health consequences related to infection for children are not inconsequential. For example, some may develop multisystem inflammatory syndrome in children, which is commonly associated with cardiovascular involvement. Nevertheless, the short- and long-term effects of SARS-CoV-2 infection remain unknown. In particular, the impact on physical health and how it affects one's ability to return to physical activity are continuously evolving. As more youth sports organizations are lifting restrictions, the volume of youth athletes will increase and the demand for providing medical clearance will grow. This article aims to provide a review of return to physical activity guidelines for young athletes post-SARS-CoV-2 infection based on expert consensus statements and professional organization recommendations. [Pediatr Ann. 2021;50(11):e461-e464.].