Clinical outcomes of 10 years of cardiac screening in elite New Zealand athletes.

OBJECTIVES: To report findings from the High Performance Sport New Zealand cardiac screening programme, including comparisons between sexes and ethnicities. DESIGN: Retrospective cohort study. METHODS: Elite Olympic-sport athletes were screened (2012-2022) with personal/family history, physical examination, resting 12-lead ECG and followed from the date of first screening until July 2022. An audit reviewed screening records, including demographic data, ECGs, follow-up and diagnoses. Flagged/equivocal ECGs were re-reviewed (International Criteria). RESULTS: 2075 ECGs from 1189 athletes (53 % female, mean age 21 years; 83 % European, 9 % Maori, 5 % Pacific Islander, 3 % other) were included. No athletes retired for cardiac reasons; there were no cardiac deaths or major cardiac incidents (mean follow-up from first screening: 6.1 years (range: 0.6-10.9 years)). Diagnoses included Wolff-Parkinson-White (WPW) syndrome (0.7 %) and cardiomyopathies (0.3 %). Overall, 3.5 % of ECGs were abnormal, with ECGs of females more commonly abnormal (4.4 % vs 2.5 %, p = 0.02) and with a higher proportion of ECGs with abnormal T-wave inversion (TWI) (3.1 % vs 0.9 %, p < 0.001) compared to males. Of the abnormal TWI in females (all aged ≥16 years), 47 % was limited to V1-V3 with no other abnormalities. Abnormality rates were similar between Maori, Pacific Islander and European athlete ECGs. CONCLUSIONS: WPW was the most frequent diagnosis, with very little cardiomyopathy found. The proportion of abnormal ECGs was low overall, but higher in females. This was driven by anterior TWI in V1-V3 which was not associated with diagnoses of conditions associated with sudden cardiac death (SCD). There was no difference in the proportion of abnormal ECGs of Maori or Pacific Island athletes compared to European athletes.

Sheffield Shield Cricketers Live Longer than the Age-Matched General Australian Male Population.

Background/objectives: Previous studies have shown a trend that elite athletes tend to live longer than the general population, which has been attributed to the "healthy worker hire effect" and the health benefits of exercise. There have not been any previous studies looking at survival of elite cricketers with the general population as a reference cohort. This study aimed to compare the annual mortality rates of current and retired elite male Australian cricket players to that of the age-matched general Australian male population. Methods: Analysis of publicly accessible dates of birth, death, and cricket debut data for male Australian Sheffield Shield cricket players who played before 2022 and had not died before 1971. Included persons were Sheffield Shield players who lived primarily in Australia during and after their cricket careers. Death rates from 1971 to 2021 (inclusive) were compared to the general Australian male population. Results: 1824 Sheffield Shield players had not died prior to 1971 (798 had played before the 1971 season, 1026 debuting subsequently). There were 586 deaths in the 51 years of observations, compared to 825 expected deaths, giving a Standardized Mortality Ratio of 0.71 (95% CI 0.63-0.80). Conclusion: Elite Australian male Sheffield Shield cricket players outlive the general male population with lower death rates. This is probably due to a combination of the healthy worker hire effect and the health benefits of exercise. This study provides evidence that in terms of longevity, it is safe to play elite-level cricket in Australia.

Comparison of methods for correcting QT interval in athletes and young people: A systematic review.

Screening elite athletes for conditions associated with sudden cardiac death is recommended by numerous international guidelines. Current athlete electrocardiogram interpretation criteria recommend the Bazett formula (QTcB) for correcting QT interval. However, other formulae may perform better at lower and higher heart rates (HR). This review aimed to examine the literature on various QT correction methods in athletes and young people aged 14-35 years and determine the most accurate method of calculating QTc in this population. A systematic review of MEDLINE, EMBASE, Scopus, and SportDiscus was performed. Papers comparing at least two different methods of QT interval correction in athletes or young people were included. Quality and risk of bias were assessed using a standardized tool. The search strategy identified 545 papers, of which 10 met the criteria and were included. Nine of these studies concluded that QTcB was least reliable for removing the effect of HR and was inaccurate at both high (>90 beats per min [BPM]) and low (<60 BPM) HRs. No studies supported the use of QTcB in athletes and young people. Alternative QT correction algorithms such as Fridericia (QTcF) produce more accurate correction of QT interval at HRs seen in athletes and young people. QTcB is less accurate at lower and higher HRs. QTcF has been shown to be more accurate in these HR ranges and may be preferred to QTcB for QTc calculation in athletes and young people. However, accurate QTc reference values for discrete HRs using alternative algorithms are not well established and require further research.

The Impact of Ethnicity on Athlete ECG Interpretation: A Systematic Review.

Athlete ECG interpretation criteria have been developed and refined from research in athlete populations; however, current guidelines are based on available data primarily from Caucasian and Black athletes. This study aimed to assess the impact of ethnicity on ECG interpretation in athletes. A systematic review was conducted of the MEDLINE, EMBASE, Scopus, SPORTDiscus, and Web of Science databases, for papers that assessed athlete screening ECGs and compared findings on the basis of ethnicity. Fifty-one papers which compared ECGs from various ethnicities were included. Most studies assessed Black athletes against Caucasian athletes and found a greater prevalence of T-wave inversion (TWI) (2.6-22.8% vs. 0-5.0%) and anterior TWI (3.7-14.3% vs. 0.6-2.0%). Black athlete subgroups in Africa had TWI (20-40%) and anterior TWI (4.3-18.7%) at a higher prevalence than other Black athletes. Athletes who were defined as mixed-race, Asian, and Pacific Islander are potentially more like Black athletes than Caucasian athletes. Black ethnicity is known to have an impact on the accurate interpretation of athlete ECGs; however, there is nuance related to origin of both parents. Asian and Pacific Islander origin also may impact athlete ECG interpretation. Further research is required to assist in distinguishing abnormal and normal athlete ECGs in different ethnic populations.

Gamified applications for secondary prevention in patients with high cardiovascular disease risk: A systematic review of effectiveness and acceptability.

INTRODUCTION: Gamified health mobile applications (apps) are promoted as innovative approaches to self-management and risk factor reduction. However, information is lacking on effectiveness or feasibility in older patients at high risk for cardiovascular diseases (CVD), which limits uptake and recommendations by nurses. This study aimed to evaluate the effectiveness and acceptability of gamified apps for CVD secondary prevention. METHODS: EQUATOR PRISMA checklist was used to guide the systematic review. PubMed, Embase and SCOPUS were searched from inception to January 2020 for studies evaluating app interventions incorporating ≥2 game tactics and targeting secondary prevention in patients diagnosed with heart disease, hypertension, stroke or type 2 diabetes. Narrative summaries of results were used as meta-analysis were not possible. The PROSPERO ID number was CRD42020209791. RESULTS: Seven studies involving 657 patients were included. Gamified apps resulted in more improvement in physical activity, HbA1C and diabetes self-management empowerment compared to multiple different comparators, and more physical activity motivation compared to a neutral content control app. Heart failure knowledge also improved significantly. However, no benefits above usual care were evident for blood pressure or body mass index, or from app use for heart failure self-management, medication adherence or atrial fibrillation knowledge. App acceptability in terms of usage declined with time but was high for the game components of challenges, medication monitoring, viewing of leader boards and badges and walking training participation. Enjoyment was highest for elements that featured surprise/novelty, having teammates, challenges, good graphic design and clarity. CONCLUSIONS: Gamified mobile apps show the potential to improve secondary prevention in high CVD risk patients. Indications for acceptability were evident, with higher adherence than clinic-based secondary prevention programmes. However, further well-designed randomised controlled trials, which track app usage are needed to confirm this potential and encourage nurses to recommend these types of apps.