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Intense regular physical exercise can induce physiologic and morphologic cardiac changes known as “athlete’s heart.” These adaptations are a normal response to repetitive exercise and training.
Increased vagal tone
Morphologic changes, including left ventricular (LV) enlargement, increases in LV wall thickness, and LV mass
Physiologic changes that occur in response to training can be difficult to differentiate from the pathologic processes that occur in hypertrophic cardiomyopathy (HCM) ( Table 35.1 ).
HCM | Athlete’s Heart |
---|---|
Unusual pattern of LVH, may be heterogeneous | Symmetric LVH or uniform distribution of hypertrophy |
Wall thickness >16 mm | Wall thickness <12 mm |
LV cavity <45 mm (small) | LV cavity >55 mm (not small) |
Left atrial enlargement | No left atrial enlargement |
Abnormal LV filling | Normal LV filling |
ECG abnormalities (see Chapter 34 : “ECG Interpretation in Athletes”) | ECG with high voltage, but no Q-wave changes (see Chapter 34 : “ECG Interpretation in Athletes”) |
Thickness does not decrease with deconditioning | LVH decreases with deconditioning |
Family history of HCM | No family history of HCM |
Positive genetic testing for HCM | Negative genetic testing for HCM |
Magnetic resonance imaging (MRI) can detect atypical patterns of hypertrophy and late gadolinium enhancement, which may be suggestive of HCM.
If the distinction between pathologic and physiologic hypertrophy cannot be established, a period of deconditioning should be considered.
Athlete’s heart describes normal physiologic adaptations to regular intense exercise, and thus, no treatment or limits on sports participation are required.
Sudden cardiac death (SCD) is the leading medical cause of death in young athletes.
Actual incidence of SCD in athletes is difficult to estimate because of the lack of a mandatory national reporting system.
High-quality studies suggest the incidence of SCD is around 1 in 50,000 athlete-years (AY) in college and 1 in 80,000 AY in high school athletes, with some higher-risk subgroups ( Table 35.2 ).
Study | Study Design and Population | Case Identification | Denominator | Sports-Related SCD or All SCD? | SCD or All SCA/D? | Study Years | Age Range; Number of Cases | Annual Incidence |
---|---|---|---|---|---|---|---|---|
Van Camp 1996 | Retrospective cohort; high school and college athletes | National Center for Catastrophic Sports Injury Research and media reports | Data from NCAA, NFHS, NAIA, and NJCAA, added together with conversion factor (1.9 for high school and 1.2 for college) used to account for multisport athletes “based on discussions with representatives from the national organizations.” | Sports-related | SCD | 1983–1993 | 13–24; N = 160 |
College + High School: Overall 1:188,000 Male 1:134,000 Female 1:752,000 High School: Overall 1:213,000 Male 1:152,000 Female 1:861,000 College: Overall 1:94,000 Male 1:69,000 Female 1:356,000 |
Maron 1998 | Retrospective cohort; Minnesota high school athletes | Catastrophic insurance claims | Minnesota State High School League (Estimated using conversion factor of 2.3 to account for multisport athletes) | Sports-related (school-sponsored only) | SCD | 1985–1997 | 16–17; N = 3 |
High School: Overall 1:217,000 Male 1:129,000 Female 0 |
Corrado 2003 | Prospective cohort; athletes and nonathletes in the Veneto Region of Italy | Mandatory reporting of sudden death | Registered athletes in the Sports Medicine Database of the Veneto Region of Italy and the Italian Census Bureau | All | SCD | 1979–1999 | 12–35; N = 51 12–35; N = 208 |
Athletes: Overall 1:47,000 Male 1:41,000 Female 1:93,000 Nonathletes: Overall 1:143,000 |
Drezner 2005 | Retrospective survey; college athletes | Survey of NCAA Division I institutions (244/326 responded) | Reported number of athletes | All | SCD | 2003 | N = 5 | College: Overall 1:67,000 |
Corrado 2006 | Prospective cohort; athletes and nonathletes in the Veneto Region of Italy | Mandatory reporting to the Registry on Juvenile Sudden Death | Registered athletes in the Sports Medicine Database of the Veneto Region of Italy and the Italian Census Bureau | All | SCD | 1979–2004 | 12–35; N = 55 12–35; N = 265 |
Athletes: 1:24,000 (prescreen) 1:233,000 (postscreen) Nonathletes: 1:127,000 (unscreened) |
Maron 2009 | Retrospective cohort; amateur and competitive athletes | US Registry for Sudden Death in Athletes | An estimated 10.7 million participants per year ≤39 years of age in all organized amateur and competitive sports | All | SCA + SCD | 1980–2006 | 8–39; N = 1046 |
Athletes: 1:164,000 |
Drezner 2009 | Cross-sectional survey; high school athletes | Survey of 1710 high schools with AEDs | Reported number of student athletes | All cases occurring on campus | SCA + SCD | 2006–2007 | 14–17; N = 14 |
High School: 1:23,000 (SCA + SCD) 1:64,000 (SCD) |
Holst 2010 | Retrospective cohort; athletes and general population in Denmark | Review of death certificates, Cause of Death Registry, and National Patient Registry in Denmark | Interview data of people aged 16–35 years from the National Danish Health and Morbidity Study | Sports-related SCD in athletes vs. all SCD in the general population | SCD | 2000–2006 | 12–35; N = 15 12–35; N = 428 |
Athletes: 1:83,000 General Population: 1:27,000 |
Marijon 2011 | Prospective cohort; general population in France | Data from emergency medical system | General population statistics, data from the Minister of Health and Sport to estimate young competitive athlete population | Sports-related SCA or SCD with moderate or vigorous exercise | SCA + SCD | 2005–2010 | 10–75; N = 820 10–35; N = 50 |
General Population: 1:217,000 Young Competitive Athlete: 1:102,000 Young Noncompetitive Athlete: 1:455,000 |
Steinvil 2011 | Retrospective cohort; athletes in Israel | Retrospective review of two Israeli newspapers | Competitive athletes registered in the Israel Sport Authority in 2009; extrapolated this data for prior 24 years based on the growth of the Israeli population (age 10–40) from the Central Bureau of Statistics; allowed for a presumed doubling of the sporting population over 24 years | All | SCD | 1985–2009 | 12–44; N = 24 |
Athletes: 1:38,000 |
Harmon 2011 | Retrospective cohort; college athletes | Parent Heart Watch database, NCAA Resolutions list, catastrophic insurance claims | Participation data from the NCAA | All | SCD | 2004–2008 | 18–26; N = 37 |
College: Overall 1:43,000 Male 1:33,000 Female 1:76,000 Black 1:17,000 White 1:58,000 Male, black 1: 13,000 Male, basketball 1: 7000 Male, Div. I basketball 1:3000 |
Maron 2013 | Retrospective cohort; Minnesota high school athletes | US Registry for Sudden Death in Athletes | Minnesota State High School League statistics (Estimated using conversion factor of 2.3 to account for multisport athletes) | All | SCD | 1986–2011 | 12–18; N = 13 |
High School: Overall 1:150,000 Male 1:83,000 Female 0 |
Roberts 2013 | Retrospective cohort; Minnesota high school athletes | Catastrophic insurance claims | Minnesota State High School League statistics (Sum of unduplicated athletes 1993– 1994 through 2011– 2012 school years) | Sports-related (school-sponsored only) | SCD | 1993–2012 | 12–19; N = 4 |
High School: 1:417,000 (1993–2012) 1:909,000 (2003–2012) Female 0 |
Maron 2014 | Retrospective cohort; college athletes | US Registry for Sudden Death in Athletes and NCAA resolutions list | Participation data from the NCAA | All | SCD | 2002–2011 | 17–26; N = 64 |
College: Overall 1:63,000 Male 1:56,000 Female 1:333,000 Black 1:26,000 White 1:143,000 |
Toresdahl 2014 | Prospective observational; high school students and student-athletes | 2149 high schools monitored for SCA events on school campus | Reported number of students and student-athletes | All cases occurring on school campus | SCA + SCD | 2009–2011 | 14–18; N = 44 |
Student Athlete: Overall 1:88,000 Male 1:58,000 Female 1:323,000 Student Nonathlete: Overall 1:326,000 Male 1:286,000 Female 1:357,000 |
Drezner 2014 | Retrospective cohort; Minnesota high school athletes | Public media reports | Minnesota State High School League statistics (Sum of unduplicated athletes 2003– 2004 through 2011– 2012 school years) | All | SCA + SCD | 2003–2012 | 14–18; N = 13 |
High School: Overall 1:71,000 Female 0 Male, basketball 1:21,000 |
Harmon 2014 | Retrospective cohort; high school athletes from 7 states in the United States | Public media reports | Participation data from the NFHS | All | SCA + SCD | 2007–2013 | 14–18; N = 109 |
High School: Overall 1:67,000 Male 1:45,000 Female 1:238,000 Male, basketball 1:37,000 |
Risgaard 2014 | Retrospective cohort; competitive and noncompetitive athletes in Denmark | Review of death certificates and the Danish National Patient Registry | Competitive and noncompetitive athlete populations in Denmark estimated based on survey data from the Danish National Institute of Public Health | Sports-related SCD in competitive vs. noncompetitive athletes | SCD | 2007–2009 | 12–35; N = 44 |
Competitive Athlete: 1:213,000 Noncompetitive Athlete: 1:233,000 |
Harmon 2015 | Retrospective cohort; college athletes | Parent Heart Watch database, NCAA Resolutions list, catastrophic insurance claims | Participation data from the NCAA | All | SCD | 2003–2013 | 17–26; N = 79 |
College: Overall 1:53,000 Male 1:38,000 Female 1:122,000 Black 1:21,000 White 1:68,000 Football 1:36,000 Male, soccer 1: 24,000 Male, black 1: 16,000 Male, basketball 1: 9000 Male, black, basketball 1: 5300 Male, Div. I basketball 1:5200 |
Bohm 2016 | Prospective cohort; sports-related SCD in all persons in Germany | Voluntary reporting to German National Registry, web-based media search, regional institutes | Physical activity estimated from the German Health Update study and extrapolated to population data from the German Federal Statistical Office | Sports-related SCD | SCD | 2012–2014 | 10–79; N = 144 |
Sports Participants: 1:1,200,000 |
Grani 2016 | Retrospective; sports-related SCD in all persons in German-speaking Switzerland | Forensic reports | Physical activity estimated from survey on sports participation by the Swiss Federal Office of Sports | Sports-related SCD | SCD | 1999–2010 | 10–39; N = 69 |
Sports Participants: Competitive: 1:90,000 Recreational: 1:192,000 |
Maron 2016 | Retrospective cohort | Records of the Medical Examiner | Data from the Minnesota Department of Education, National Center for Education Statistics, and the Minnesota State High School League for Hennepin County, Minnesota | All | SCD | 2000–2014 | 14–23; N = 27 |
Nonathlete: 1:39,000 Athlete: 1:121,000 |
Harmon 2016 | Retrospective cohort, US high school athletes | Media reports | NFHS participation statistics | All | SCA/SCD | 2007–2013 | 14–18; N = 104 |
High School: Overall 1:67,000 Male 1:45,00 Female 1:237,000 Male, basketball 1:37,000 |
Chatard 2018 | Prospective, Pacific Island athletes who were screened | Prospectively followed | Defined cohort of 1450 athletes | SCD | 2012–2015 | 10–40; N = 3 |
Pacific Island Athletes: 1:2416 |
|
Malhotra 2018 | Prospective | Followed from time of screen to 2016 | Defined cohort of 11,168 elite soccer athletes | All | SCD | 1996–2016 | 15–17; N = 8 |
Elite Male Soccer Athletes: 1:14,794 |
Males and African Americans are at a higher risk, with men’s basketball appearing to be at a disproportionately higher risk: 1 in 9000 AY.
The prevalence of cardiovascular disorders in young people that can lead to SCD is approximately 1 in 300.
Most individuals with cardiovascular disorders will not experience sudden cardiac arrest (SCA) or SCD; however, athletes may be at a higher risk because increased physical activity can trigger some arrhythmias.
SCD is the presenting symptom of underlying cardiovascular pathology in 50%–90% of athletes.
Warning symptoms of underlying cardiovascular disease include a history of exertional chest pain, exertional syncope or presyncope, dyspnea or fatigue disproportionate to the degree of exertion, and palpitations or irregular heartbeats. Athletes with any of these symptoms require a careful workup before returning to exercise.
A family history (FH) of sudden unexplained death or SCD before the age of 50 years or an FH of cardiac disorders known to cause SCD also warrant further diagnostic investigation before participation.
Older studies in US athletes suggested HCM as the leading cause of SCD in athletes; however, these data were subject to ascertainment bias. More recent studies in National Collegiate Athletic Association (NCAA) athletes and European athletes suggest that autopsy-negative sudden unexplained death (AN-SUD) is the most common cause of death, believed to be secondary to arrhythmias or electrical disease.
Studies in other countries and a recent meta-analysis suggest HCM may be less common as a cause of SCD ( Table 35.3 ).
Study | Years of Study | Methods | Autopsy | Country | “Sports-Related” or All Deaths | Age Range | Cases | HCM | Idiopathic LVH/Fibrosis | Coronary Artery Anomalies | ARVC | DCM | AN-SUD | CAD | Myocarditis Related | Aortic Dissection | LQTS | WPW | Other |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Corrado | 1979–1999 | Prospective, mandatory reporting, all deaths in Veneto region | Standard procedure at referral center | Italy | All | 12–35 | 46 | 2% | 0% | 13% | 26% | 2% | 2% | 22% | 11% | 2% | 2% | 0% | 17% |
De Noronha | 1996–2008 | All cases SCD referred to CRY | Standard procedure at referral center | UK | All | 6–34 | 88 | 13% | 32% | 7% | 10% | 0% | 30% | 0% | 3% | 0% | 0% | 0% | 6% |
Maron | 1980–2006 | Retrospective, registry, media reports | Review of available autopsy, 359 had either pathologically normal heart or autopsy unavailable | US | All—includes SCA | 8–39 | 1049 | 24% | 5% | 11% | 3% | 1% | 34% | 2% | 4% | 2% | 2% | 1% | 10% |
Holst | 2000–2006 | Retrospective, death certificates | Autopsy reports, hospital records | Denmark | Sports-related | 12–35 | 14 | 0% | 7% | 7% | 29% | 0% | 29% | 14% | 7% | 0% | 0% | 0% | 7% |
Suarez-Mier | 1995–2010 | All cases of SCD referred to National Institute of Forensic Sciences of Madrid | Standard procedure at referral center | Spain | Sports-related | 9–35 | 81 | 10% | 9% | 6% | 15% | 0% | 23% | 14% | 5% | 0% | 0% | 0% | 19% |
Harmon | 2003–2013 | Retrospective, media reports, NCAA database | Autopsy reports, ancillary reports | US | All | 18–26 | 64 | 8% | 17% | 11% | 5% | 3% | 25% | 9% | 9% | 5% | 2% | 3% | 3% |
Finochiaro | 1994–2014 | All cases SCD referred to CRY | Standard procedure at referral center | UK | All | 18–35 | 179 | 8% | 14% | 4% | 14% | 1% | 44% | 0% | 2% | 0% | 0% | 0% | 13% |
Bohm | 2012–2014 | Retrospective | Media reports, registry | Germany | Sports-related | 10–34 | 29 | 7% | 3% | 10% | 3% | 3% | 17% | 21% | 31% | 0% | 0% | 0% | 3% |
Harmon | 2007–2013 | Retrospective, media reports | Autopsy reports | US | All | 14–18 | 50 | 14% | 28% | 8% | 2% | 0% | 18% | 6% | 14% | 0% | 0% | 0% | 12% |
Peterson | 2014–2016 | Media reports, reports to NCCSIR | Autopsy reports | US | All | 11–29 | 83 | 18% | 16% | 16% | 5% | 5% | 10% | 2% | 4% | 6% | 4% | 2% | 13% |
Morentin | 2010–2017 | Retrospective | Standard procedure at referral center | Spain | Sports-related | 15–24 | 14 | 14% | 21% | 0% | 36% | 0% | 0% | 0% | 21% | 0% | 0% | 0% | 7% |
Thiene | 1980–2015 | Prospective | Standard procedure at referral center | Italy | All | <40 | 75 | 5% | 0% | 16% | 27% | 0% | 11% | 23% | 4% | 0% | 0% | 0% | 15% |
Total | 1758 | 18% | 9% | 10% | 7% | 1% | 30% | 5% | 5% | 2% | 2% | 1% | 11% |
Specialized autopsy by a cardiovascular pathologist and molecular autopsy should clarify etiologies in the future.
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