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Background: Cardiac screening of elite athletes is widely recommended by Australasian sporting federations, but data are not structured to be shared. Data are lacking from underrepresented groups to inform ECG interpretation guidelines. The ARENA (Australasian Registry of Screening ECGs in National Athletes) project is a retrospective and prospective, multicenter, longitudinal, observational registry of athlete cardiac screening results and outcomes. The aim is to create a repository to improve our understanding of the diagnoses and outcomes of screening., Methods: Participating sports that conduct cardiac screening of athletes will contribute data. This includes an initial collection (retrospective data, waiver of consent) and future prospective data (opt-out consent). Data include sex, age, sport/event, screening date, ECG findings, cardiac test results, follow-up details, sport participation status, cardiac diagnoses, and major cardiovascular outcomes defined as sudden cardiac arrest/death, cardiac syncope or implanted cardioverter defibrillator shock, cardiac hospitalization, and arrhythmias requiring intervention. Comparisons will be made between diagnoses, outcomes, and ECG features and analyzed by sport and sex. The ARENA project was developed in collaboration with sporting bodies, team physicians, and players association representatives and endorsed by the Australasian College of Sport & Exercise Physicians and Sports Medicine Australia., Conclusions: The ARENA project will provide a long-term international data repository to improve our understanding of ECG interpretation, cardiac screening and diagnoses, and the prevalence of cardiovascular outcomes in screened athletes. A unique aim is to address evidence gaps in underrepresented athlete groups, specifically female athletes and Indigenous populations. Results will inform screening policies and guidelines.

Background: Cardiac screening of elite athletes including a 12‑lead electrocardiogram (ECG) is recommended by numerous international bodies. Current athlete ECG interpretation guidelines recommend the Bazett method to correct the QT interval (QTc)., Objective: This study sought to investigate normative QTc changes by age using athlete screening ECGs and different QT correction methods in a population of elite cricketers., Methods: Initial cardiac screening ECGs from an existing database of elite Australian cricketers aged 14-35 years were examined. Average QT interval, QTcB (corrected QT-Bazett), QTcF (Fridericia), QTcH (Hodges), and heart rate (HR) were analyzed by age and sex., Results: A total of 1310 athletes (66% male, 34% female) were included with mean age 19.1 years and mean heart rate 66.9 bpm (range 38-121 bpm). With increasing age, HR decreased and absolute QT increased. The pattern of QTc change with age differed depending on the method of correction: Bazett correction (QTcB) demonstrated a "dish-shaped" or broad U-shaped appearance; while Fridericia and Hodges corrections showed a linear increase in QTc from young to older age. The Bazett method had a stronger correlation of HR with QTc (R 2  = 0.32) than either Fridericia (R 2  = 0.0007) or Hodges (R 2  = 0.009) methods., Conclusions: The Bazett method is not the most accurate QT correction in athletes, especially during adolescence. In elite cricketers, QTcB revealed a drop in QTc from adolescence to early adulthood due to mis-correction of the QT interval. The Fridericia method has the smoothest correction of HR and least QT variation by age and may be preferred for athlete screening., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Athletes sometimes experience transient arrhythmias during intense exercise, which may be difficult to capture with traditional Holter monitors. New and highly portable technology, such as smartphone electrocardiogram (ECG) devices, may be useful in documenting and contribute to diagnosis of exercise-induced arrhythmias. There are little data available regarding the new Kardia 6 lead device (6L) and no data regarding its use in athletic populations. In this short communication, we present pilot data from 30 healthy athletes who underwent a 12‑lead ECG and subsequent 6L reading. Our pilot data show relatively high levels of agreement for QTc and PR interval and QRS duration, with the 6L readings slightly but significantly shorter on average., Competing Interests: Declaration of Competing Interest No competing interests to declare., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Objectives: To report the compliance and results of an electrocardiogram (ECG) cardiac screening program in male and female elite Australian cricketers., Design: cross-sectional study., Methods: Elite cricketers were offered screening in accordance with Cricket Australia policy. Players who consented provided a personal and family history, physical examination and resting 12-lead ECG. An audit (1 February 2019) examined all cardiac screening records for male and female players in all Australian Cricket state squads from 16 years upwards. Data extracted from the Cricket Australia database included the number of players who underwent screening; signed waivers opting out; and had follow-up tests. ECGs were re-reviewed according to the International Criteria., Results: 710 players were included in the cohort (mean age 20.4±4.9 years, 62% male). 692 (97.5%) players underwent recommended cardiac screening or signed a waiver opting out (1.1%). 173 (24.4%) players were screened (or signed a waiver) more than once. Follow-up testing was conducted for 59 (6.9%) cases. No players were excluded from sport due to a cardiac problem and no major cardiac incidents occurred to any player in the audit cohort. Review of 830 ECGs showed benign athlete heart changes, including sinus bradycardia (33.5%), left ventricular hypertrophy (16.3%), and incomplete/partial right bundle branch block (8.4%), were common but abnormal screening ECGs were uncommon (2.0%)., Conclusions: An audit of a cardiac screening program in elite Australian cricketers found excellent compliance. A small proportion required follow-up testing and no player was excluded from sport due to a cardiac problem. ECG analysis suggested cricket is a sport of moderate cardiac demands, with benign athlete heart changes common., (Copyright © 2019 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.)

Screening asymptomatic people with a resting electrocardiogram (ECG) has been theorized to detect latent cardiovascular disease. However, resting ECG screening is not recommended for numerous populations, such as asymptomatic middle-aged (sedentary) people, as it is not sufficiently sensitive to detect coronary artery disease. While the issues raised in this article are largely common to all screening programs, this review focuses on 2 distinct programs: (1) screening elite athletes for conditions associated with sudden cardiac death (SCD); and (2) screening people aged ≥65 years for atrial fibrillation (AF). These 2 settings have recently gained attention for their promise and concerns regarding prevention of SCD and stroke, respectively. If screening is to be done, it must be done well. Organizations conducting screening must consider a range of legal, ethical, and logistical responsibilities that arise from the beginning to the end of the process. This includes consideration of who to screen, timing of screening, whether screening is mandatory, consent issues, and auditing systems to ensure quality control. Good infrastructure for interpretation of ECG results according to expert guidelines and follow-up testing for abnormal screening results, including a pathway to treatment, are essential. Finally, there may be significant implications for those diagnosed with cardiac disease, including insurance, employment, the ability to play sport, and mental health issues. There are several legal risks, and the best protective measures are good communication systems, thorough clinical record-keeping, careful handling of eligibility questions for those diagnosed, and reference to expert guidelines as the standard of care., (Copyright © 2019 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.)

Background: The precise age distribution and calculated stroke risk of screen-detected atrial fibrillation (AF) is not known. Therefore, it is not possible to determine the number needed to screen (NNS) to identify one treatable new AF case (NNS-Rx) (i.e., Class-1 oral anticoagulation [OAC] treatment recommendation) in each age stratum. If the NNS-Rx is known for each age stratum, precise cost-effectiveness and sensitivity simulations can be performed based on the age distribution of the population/region to be screened. Such calculations are required by national authorities and organisations responsible for health system budgets to determine the best age cutoffs for screening programs and decide whether programs of screening should be funded. Therefore, we aimed to determine the exact yield and calculated stroke-risk profile of screen-detected AF and NNS-Rx in 5-year age strata., Methods and Findings: A systematic review of Medline, Pubmed, and Embase was performed (January 2007 to February 2018), and AF-SCREEN international collaboration members were contacted to identify additional studies. Twenty-four eligible studies were identified that performed a single time point screen for AF in a general ambulant population, including people ≥65 years. Authors from eligible studies were invited to collaborate and share patient-level data. Statistical analysis was performed using random effects logistic regression for AF detection rate, and Poisson regression modelling for CHA2DS2-VASc scores. Nineteen studies (14 countries from a mix of low- to middle- and high-income countries) collaborated, with 141,220 participants screened and 1,539 new AF cases. Pooled yield of screening was greater in males across all age strata. The age/sex-adjusted detection rate for screen-detected AF in ≥65-year-olds was 1.44% (95% CI, 1.13%-1.82%) and 0.41% (95% CI, 0.31%-0.53%) for <65-year-olds. New AF detection rate increased progressively with age from 0.34% (<60 years) to 2.73% (≥85 years). Neither the choice of screening methodology or device, the geographical region, nor the screening setting influenced the detection rate of AF. Mean CHA2DS2-VASc scores (n = 1,369) increased with age from 1.1 (<60 years) to 3.9 (≥85 years); 72% of ≥65 years had ≥1 additional stroke risk factor other than age/sex. All new AF ≥75 years and 66% between 65 and 74 years had a Class-1 OAC recommendation. The NNS-Rx is 83 for ≥65 years, 926 for 60-64 years; and 1,089 for <60 years. The main limitation of this study is there are insufficient data on sociodemographic variables of the populations and possible ascertainment biases to explain the variance in the samples., Conclusions: People with screen-detected AF are at elevated calculated stroke risk: above age 65, the majority have a Class-1 OAC recommendation for stroke prevention, and >70% have ≥1 additional stroke risk factor other than age/sex. Our data, based on the largest number of screen-detected AF collected to date, show the precise relationship between yield and estimated stroke risk profile with age, and strong dependence for NNS-RX on the age distribution of the population to be screened: essential information for precise cost-effectiveness calculations., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: GYHL reports consultancy and speaker fees from Bayer, Bayer/Janssen, BMS/Pfizer, Biotronik, Medtronic, Boehringer Ingelheim, Microlife, Roche, and Daiichi-Sankyo outside the submitted work. No fees were received personally. YC reports grants from Bayer during the conduct of the study. DDM reports grants from National Institutes of Health, grants and other research support from Bristol Myers Squibb, Pfizer, Boehringer Ingelheim, grants, personal fees and other from Bristol Myers Squibb and Pfizer, other research support from Apple, Samsung Electronics, grants from National Science Foundation during the conduct of the study; other from Mobile Sense Technologies and grants from Philips outside the submitted work. MP reports consultancy activity for Boehringer Ingelheim. JJO reports grants from Pfizer, nonfinancial support from Alivecor, outside the submitted work. JW reports grants from Bayer during the conduct of the study. GHM reports grants from Belgian Heart Rhythm Association during the conduct of the study; personal fees from Boehringer Ingelheim, Bayer, Daiichi Sankyo, BMS/Pfizer, St Jude Medical outside the submitted work. RBS reports personal fees from Bristol-Myers Squibb/Pfizer Pharma outside the submitted work. JSH reports grants from Medtronic, grants from Bristol-Meyers-Squibb/Pfizer outside the submitted work. FDRH reports personal fees from BMS/Pfizer, BI, and Bayer outside the submitted work. FRQ reports personal fees from Bayer, personal fees from Servier, grants from Bayer, grants from Boehringer Ingelheim, personal fees from BMS outside the submitted work. BF reports grants, personal fees and nonfinancial support from Bayer, grants, personal fees and nonfinancial support from BMS-Pfizer, personal fees and non-financial support from Daiichi-Sankyo outside the submitted work. PSW reports grants and personal fees from Boehringer Ingelheim, grants from Philips Medical Systems, grants and personal fees from Sanofi-Aventis, grants and personal fees from Bayer Vital, grants from Daiichi Sankyo Europe, personal fees from Bayer HealthCare, personal fees from Astra Zeneca, personal fees and nonfinancial support from DiaSorin, nonfinancial support from I.E.M., grants from Evonik, outside the submitted work. FK reports grants from Boehringer Ingelheim outside the submitted work. RT reports grants and personal fees from Boehringer Ingelheim during the conduct of the study. In addition, RT has a patent as a co-inventor of the MyDiagnostick with royalties paid. The following authors have declared that no competing interests exist: VWL, AD, JH, NL, JO, LAPDT, AKR, RKS, SAC, TFC, JN, EMR, WK, JM, JM, LN, JWM, BPY, TM, JJGD, AS, BS, JSL, and DAF.