| Literature DB >> 33154912 |
Yusuf Omar Hallak1, Umberto Battistin1, Ahmad Mustafa Al-Masaeed2.
Abstract
OBJECTIVE: The study aims to review the literature regarding abnormalities predisposing to Sudden Cardiac Death (SCD) in young Middle Eastern and African competitive athletes between the years 2009-2019 and aims to assess cardiac pre-participation screening methods.Entities:
Keywords: African athletes; Arab athletes; Pre-participation cardiovascular screening; Sports cardiology; Sudden cardiac death
Year: 2020 PMID: 33154912 PMCID: PMC7640562 DOI: 10.37616/2212-5043.1047
Source DB: PubMed Journal: J Saudi Heart Assoc ISSN: 1016-7315
Illustration 1Common causes of sudden cardiac death in athletes.2
Illustration 2The differences between the ESC recommendations and the AHA recommendations for cardiac pre-participation screening in competitive athletes.7
Figure 1:The PRISMA flow diagram describe the literature searching process.
Overview of studies assessing competitive athletes who have undergone cardiac pre-participation screening in Middle Eastern, and African countries 2011–2018. Studies are grouped by country and are listed in chronological order.
| Author (year) | Country | Study Setting | Sample Size | (Age -Group) Mean Age (Years) | Gender Distribution | Sample Population Nationalities | Sports included in the study | Guidelines used for pre-participation screening of competitive athletes | SCD-associated abnormality (WPW, ARVC, HCM, DCM, long QT syndrome) |
|---|---|---|---|---|---|---|---|---|---|
| Wilson MG et al. (2011)10 | Qatar | Sports Hospital | 1100 (West Asian & African) | (12–35) 22.6 ± 6 years | 100% ♂ | Gulf States (QAT, BHR, OM, AE, KWT, YEM, SA) Middle Eastern Countries (EGY, PSE, SYR, JO, LBN, IRQ) African Countries (SDN, SOM, GHA, NGA, CMR, SEN, ET) Others (USA, CAN, AUS) | 17 sporting disciplines (Football, Basketball, Tennis, Handball, & Volleyball) | 2010 European Society of Cardiology (ESC) Recommendations | 7 athletes [0.64%] - (95% CI (0.31% –1.31%)) |
| Schmied C et al. (2013)11 | Gabon | Organized Screening program | 210 | (18–22) 18.6 years | 100% ♂ | Gabon | Football | 2010 European Society of Cardiology (ESC) Recommendations | 9 athletes [4.29%] - (95% CI (2.27% –7.95%)) |
| Maffulli N et al. (2014)12 | UAE | Sports Club | 230 | (14–35) 20.68 ± 5.22 years | 100% ♂ | United Arab Emirates | Football, Swimming, Cycling, Handball, Basketball | Lausanne Recommendations 2010 European Society of | 5 athletes [2.17%] – (95% CI (0.93% –4.98%)) |
| Riding NR et al. (2015) | Qatar | Sports Hospital | 2115 (West Asian & African) | (NR) 23.23 ± 5.26 years | 100% ♂ | Gulf States (QAT, BHR, OM, AE, KWT, YEM, SA) Middle Eastern Countries (EGY, MAR, TUN, DZA, PSE, JO, LBN) African Countries (SDN, SOM, GHA, NGA, CMR, SEN, ET, TCD, CIV) Caribbean Countries (TTO, JAM, CUB) Others (BRA, COL, ECU, URY, North America, South America, Mainland Europe, AUS) | Football, Handball, Volleyball, Basketball | 2010 European Society of Cardiology (ESC) Recommendations Seattle Criteria Refined Criteria | 10 athletes [0.47%] - (95% CI (0.26% –0.86%)) HCM (n = 7, 5 B & 2 WA), WPW (n = 3, WA) |
Notes. ♂ = males, NR = Not Reported.
Abbreviations: QAT = Qatar, BHR= Bahrain, OM= Oman, AE = United Arab Emirates, KWT= Kuwait, YEM= Yemen, SA= Kingdom of Saudi Arabia, EGY = Egypt, PSE= Palestine, SYR= Syria, JO = Jordan, LBN = Lebanon, IRQ= Iraq, SDN= Sudan, SOM= Somalia, GHA = Ghana, NGA= Nigeria, CMR= Cameroon, SEN= Senegal, ET = Ethiopia, USA= United States of America, CAN= Canada, AUS = Australia, MAR = Morocco, TUN = Tunisia, DZA = Algeria, TCD = Chad, CIV= Ivory Coast, TTO = Trinidad and Tobago, JAM = Jamaica, CUB= Cuba, BRA= Brazil, COL= Columbia, ECU = Ecuador, URY= Uruguay, WA=West Asian (Arab), B= Blac
False Positive Rates.
| Study | False-Positive Rates in each population with guidelines used for ECG interpretations | |||
|---|---|---|---|---|
| Arabs | Africans | Other | Guidelines used
| |
| Wilson MG et al. (2011)10 | 17% | 31% | 2010 ESC Recommendations | |
| Schmied C et al. (2013)11 | 2010 ESC Recommendations | |||
| Maffulli N et al. (2014)12 | 18.3% | 2010 ESC Recommendations | ||
| Riding NR et al. (2015)13 | 18.8% | 29.1% | 18.6% in Caucasians | 2010 ESC Recommendations |
| 9.4% | 15.8% | 8.5% in Caucasians | 2013 Seattle Criteria | |
| 3.3% | 9.2% | 2.1% in Caucasians | 2014 Refined Criteria | |