Abstract

Introduction

Pre-participation screening in athletes attempts to reduce the incidence of sudden death during sports by identifying susceptible individuals. The objective of this study was to evaluate the diagnostic capacity of the different pre-participation screening points in adolescent athletes and the cost effectiveness of the programme.

Methods

Athletes were studied between 12–18 years old. Pre-participation screening included the American Heart Association questionnaire, electrocardiogram, echocardiogram, and stress test. The cost of test was established by the Catalan public health system.

Results

Of 1650 athletes included, 57% were men and mean age was 15.09 ± 1.82 years. Positive findings were identified as follows: in American Heart Association questionnaire 5.09% of subjects, in electrocardiogram 3.78%, in echocardiogram 4.96%, and in exercise test 1.75%. Six athletes (0.36%) were disqualified from participation and 10 (0.60%) were referred for interventional treatment. Diagnostic capacity was assessed by the area under the curve for detection of diseases that motivated disqualification for sport practice (American Heart Association questionnaire, 0.55; electrocardiogram, 0.72; echocardiogram, 0.88; stress test, 0.57). The cost for each athlete disqualified from the sport for a disease causing sudden death was €45,578.

Conclusion

The electrocardiogram and echocardiogram were the most useful studies to detect athletes susceptible to sudden death, and the stress test best diagnosed arrhythmias with specific treatment. In our country, pre-participatory screening was cost effective to detect athletes who might experience sudden death in sports.

Introduction

The incidence of sudden cardiac death (SCD) among young athletes is estimated at two per 100,000 athletes per year;1 however, its impact has devastating consequences for the athlete’s family and society. A single cohort study has shown that pre-participation screening (PPS) to identify individuals susceptible to sudden death during sports is a useful prevention strategy.2

The inclusion of the electrocardiogram (ECG) in the PPS is currently a controversial issue; while the European Society of Cardiology suggests incorporation,3,4 the American Heart Association considers personal and family history, and physical examination as the only PPS evidence needed.5 In turn, although the addition of echocardiography was suggested 20 years ago6 and has proven its usefulness,710 cost has limited its routine implementation.11 Scientific evidence also suggests that the addition of stress test could be useful in those older than 30 years.12 Although several studies have assessed the cost effectiveness of adding the ECG to PPS;1319 a decision-model analysis11 and a recent meta-analysis20 have not provided conclusive information.

In this context, the aim of our study was to evaluate the different elements of PPS in a cohort of adolescent competitive athletes, following the Consensus of Catalonia recommendations21 and analyse the cost effectiveness of each of the four items used in the PPS in our population.

Methods

Design

Athletes between 12–18 years old participating in various sports were enrolled consecutively from January 2012–December 2015. All of them were part of a highly competitive sports programme of the Consell Català de l'Esport or the Futbol Club Barcelona.

The study follows the guidelines for reporting observational studies in accordance with standards established by the Declaration of Helsinki and received the approval of our centre’s Ethics Committee for Clinical Research. Written consent was obtained from individuals older than 16 years of age and from a parent for younger athletes.

Examination protocol

In all athletes, cardiovascular evaluation consists of four points: (a) family-personal history and physical examination was interrogated using the American Heart Association (AHA) 12-point questionnaire22 which was given to each subject to be filled in and then reviewed together with the patient by the attending cardiologist; (b) ECG analysed according to the Seattle criteria;23 (c) Doppler echocardiography screening protocol in athletes,9 not interpreting slight mitral and tricuspid insufficiencies as pathological if valves are structurally normal;10 and (d) maximal stress test, a treadmill protocol was used, starting at 6 km/h with progressive speed increases of 1 km/h every minute and a fixed slope of 1% until maximum effort was reached.24

The 12-lead ECG was performed in the supine position at a speed of 25 mm/s and with amplitude of 10 mV. Doppler echocardiography was done with standard equipment (Vingmed Vivid-7, General Electric Vingmed, Milwaukee, Wisconsin, USA, or Aplio 400, Toshiba Medical Systems Corporation, Otawara, Japan). The stress test was performed on a treadmill with digital equipment that allowed off-line analysis of ECG tracing (CASE Exercise Testing System, GE Medical Systems, Milwaukee, Wisconsin, USA; or Medisoft, Sorinnes, Belgium). All studies were conducted by sports physicians and cardiologists, recorded in digital form for further analysis and reviewed by the whole team if there was any controversy.

European recommendations were followed for the treatment of pathologies identified and the disqualification of athletes from participation in the case of cardiomyopathies and valvular disease,25 arrhythmias and channelopathies,26,27 and congenital heart disease.28 Following these recommendations, four groups were established: (a) athletes with normal tests; (b) athletes with indications for annual monitoring; (c) athletes to be subjected to specific treatment before continuing competitive sport training; and (d) athletes disqualified from competitive sport.29

Cost

The cost calculation of each item in the protocol was based on Health Institute of Catalonia data published in the Diari Oficial de la Generalitat de Catalunya,30 as follows: medical visit AHA questionnaire (family-personal history and physical examination), €40; ECG, €18; Doppler echocardiography, €56; stress test, €31. The total cost of the PPS was €145 per athlete. The total cost for second-line studies was €3454; electrophysiology, €2800; cardiac magnetic resonance, €276; coronary tomography, €197; and 24-hour Holter ECG, €36. Cost-effectiveness was calculated by determining the cost for each athlete disqualified from sports participation, as a strategy for prevention of sudden death in athletes. The official exchange rate used was €1.00 = US$1.10.

Statistical analysis

In the descriptive analysis, quantitative variables were expressed as mean ± standard deviation. Discrete variables are presented as number of cases and percentages. Sensitivity and specificity were calculated using standard procedures. Diagnostic capacity was assessed by positive (sensitivity/1-specificity) and negative (1-sensitivity/specificity) likelihood ratios, and pathologies that required treatment or disqualification of sport were determined by the area under the curve. All data were analysed using the SPSS statistical package (version 19, SPSS Inc., Chicago, New York, USA).

Results

A total of 1650 athletes were evaluated, with a mean age of 15.09 ± 1.82 years (59.8% men). All athletes were Caucasian, with a weekly average of 13.42 ± 4.07 training hours in different sports disciplines and at different levels of competition (Table 1).

Table 1.

Baseline characteristics of the population.

Number of athletes1650
Men986 (59.8%)
Women664 (40.2%)
Age (years), mean15.09 ± 1.82
Race100% Caucasian
Body mass index20.84 ± 2.75
Body surface area, m21.70 ± 0.23
Weekly training hours, medium13.42 ± 4.07 h
Competition level
 Regional57.6%
 National34.0%
 International8.4%
Sports
 Football (or soccer)271 (16.42%)
 Basketball256 (15.52%)
 Volleyball201 (12.18%)
 Handball154 (9.33%)
 Athletics100 (6.06%)
 Rugby97 (5.88%)
 Swimming86 (5.21%)
 Hockey grass73 (4.42%)
 Water polo51 (3.09%)
 Other sports361 (21.88%)
Number of athletes1650
Men986 (59.8%)
Women664 (40.2%)
Age (years), mean15.09 ± 1.82
Race100% Caucasian
Body mass index20.84 ± 2.75
Body surface area, m21.70 ± 0.23
Weekly training hours, medium13.42 ± 4.07 h
Competition level
 Regional57.6%
 National34.0%
 International8.4%
Sports
 Football (or soccer)271 (16.42%)
 Basketball256 (15.52%)
 Volleyball201 (12.18%)
 Handball154 (9.33%)
 Athletics100 (6.06%)
 Rugby97 (5.88%)
 Swimming86 (5.21%)
 Hockey grass73 (4.42%)
 Water polo51 (3.09%)
 Other sports361 (21.88%)
Table 1.

Baseline characteristics of the population.

Number of athletes1650
Men986 (59.8%)
Women664 (40.2%)
Age (years), mean15.09 ± 1.82
Race100% Caucasian
Body mass index20.84 ± 2.75
Body surface area, m21.70 ± 0.23
Weekly training hours, medium13.42 ± 4.07 h
Competition level
 Regional57.6%
 National34.0%
 International8.4%
Sports
 Football (or soccer)271 (16.42%)
 Basketball256 (15.52%)
 Volleyball201 (12.18%)
 Handball154 (9.33%)
 Athletics100 (6.06%)
 Rugby97 (5.88%)
 Swimming86 (5.21%)
 Hockey grass73 (4.42%)
 Water polo51 (3.09%)
 Other sports361 (21.88%)
Number of athletes1650
Men986 (59.8%)
Women664 (40.2%)
Age (years), mean15.09 ± 1.82
Race100% Caucasian
Body mass index20.84 ± 2.75
Body surface area, m21.70 ± 0.23
Weekly training hours, medium13.42 ± 4.07 h
Competition level
 Regional57.6%
 National34.0%
 International8.4%
Sports
 Football (or soccer)271 (16.42%)
 Basketball256 (15.52%)
 Volleyball201 (12.18%)
 Handball154 (9.33%)
 Athletics100 (6.06%)
 Rugby97 (5.88%)
 Swimming86 (5.21%)
 Hockey grass73 (4.42%)
 Water polo51 (3.09%)
 Other sports361 (21.88%)

Table 2 details each of the diagnostic points of the PPS. Positive findings were found for the 12-point AHA questionnaire in 84 (5.09%) athletes, ECG in 65 (3.93%), Doppler echocardiography in 79 (4.78%) and stress test in 29 (1.75%).

Table 2.

Changes in each of the screening points: diagnoses, complementary studies, treatment performed and athletes in which sport cessation (disqualification) was indicated.

FindingsNumber of athletesNewly diagnosedSecond line screeningTreatmentDisqualification
AHA questionnaire, 12 points84 (5.09%)1
Chest pain12
Syncope or pre-syncope24Holter (3)
Dyspnoea3
Sudden death in family <50 years old2. 3CMR (2) Holter (2)
Heart-disease in family <50 years old141aDisqualified
Murmurs6
Decreased peripheral pulse0
Marfan syndrome – stigmata0
Arterial hypertension2
ECG65 (3.93%)9
T-wave inversion39HCM (3)bCMR (4)Disqualifiedb
Low atrial rhythm9
Premature ventricular complex, 2 in 10 s5Holter (3)
Pre-excitation syndrome (WPW)7WPW (5)EPS (5)RF ablation (5)
Q wave, pathological3
Nodal rhythm2
Doppler echocardiography79 (4.78%)7
Hypertrophy LV22CMR (3)
Dilated LV12CMR (1)
Aorta, bicuspid7
Aortic valve, mild regurgitation16
Mitral valve, moderate regurgitation2
Tricuspid, moderate regurgitation3CMR (1)
Interatrial communication (IAC)9IAC (2)Catheter-ismClose IAC (2)
Hypertrophic cardiomyopathy (HCM)3HCM (3)bCMR (3)Disqualifiedb
Aortic root dilatation2
Anomalous origin of coronary artery (AOCA)1AOCACTDisqualified
RV compression, pectus excavatum1RV alteredDisqualified
Patent ductus arteriosus1Ductus
Stress test29 (1.75%)4
Premature ventricular complex17PVC > 20% - 24 hHolter (9) EPS (1)
Exaggerated blood pressure response7
Supra-ventricular paroxysmal tachycardia (SVPT)2SVPTEPSRF ablation
Atrial fibrillation (AF)1AFEPS, CMRRF ablation
Infra-ST segment slope1CT
Sustained ventricular tachycardia (VT)1VT effortEPS, CMRRF ablationDisqualified
Total: n = 1650 athletes241 (14.6%)16106
FindingsNumber of athletesNewly diagnosedSecond line screeningTreatmentDisqualification
AHA questionnaire, 12 points84 (5.09%)1
Chest pain12
Syncope or pre-syncope24Holter (3)
Dyspnoea3
Sudden death in family <50 years old2. 3CMR (2) Holter (2)
Heart-disease in family <50 years old141aDisqualified
Murmurs6
Decreased peripheral pulse0
Marfan syndrome – stigmata0
Arterial hypertension2
ECG65 (3.93%)9
T-wave inversion39HCM (3)bCMR (4)Disqualifiedb
Low atrial rhythm9
Premature ventricular complex, 2 in 10 s5Holter (3)
Pre-excitation syndrome (WPW)7WPW (5)EPS (5)RF ablation (5)
Q wave, pathological3
Nodal rhythm2
Doppler echocardiography79 (4.78%)7
Hypertrophy LV22CMR (3)
Dilated LV12CMR (1)
Aorta, bicuspid7
Aortic valve, mild regurgitation16
Mitral valve, moderate regurgitation2
Tricuspid, moderate regurgitation3CMR (1)
Interatrial communication (IAC)9IAC (2)Catheter-ismClose IAC (2)
Hypertrophic cardiomyopathy (HCM)3HCM (3)bCMR (3)Disqualifiedb
Aortic root dilatation2
Anomalous origin of coronary artery (AOCA)1AOCACTDisqualified
RV compression, pectus excavatum1RV alteredDisqualified
Patent ductus arteriosus1Ductus
Stress test29 (1.75%)4
Premature ventricular complex17PVC > 20% - 24 hHolter (9) EPS (1)
Exaggerated blood pressure response7
Supra-ventricular paroxysmal tachycardia (SVPT)2SVPTEPSRF ablation
Atrial fibrillation (AF)1AFEPS, CMRRF ablation
Infra-ST segment slope1CT
Sustained ventricular tachycardia (VT)1VT effortEPS, CMRRF ablationDisqualified
Total: n = 1650 athletes241 (14.6%)16106

AHA: American Heart Association; CMR: cardiac magnetic resonance imaging; ECG: electrocardiograph; EPS: electrophysiological study; LV: left ventricle; RF: radiofrequency; RV: right ventricle; CT: coronary computed tomography.

a

Family history of hypertrophic cardiomyopathy.

b

Athletes in which the ECG showed negative T waves, and echocardiogram confirmed the diagnosis of hypertrophic cardiomyopathy.

Table 2.

Changes in each of the screening points: diagnoses, complementary studies, treatment performed and athletes in which sport cessation (disqualification) was indicated.

FindingsNumber of athletesNewly diagnosedSecond line screeningTreatmentDisqualification
AHA questionnaire, 12 points84 (5.09%)1
Chest pain12
Syncope or pre-syncope24Holter (3)
Dyspnoea3
Sudden death in family <50 years old2. 3CMR (2) Holter (2)
Heart-disease in family <50 years old141aDisqualified
Murmurs6
Decreased peripheral pulse0
Marfan syndrome – stigmata0
Arterial hypertension2
ECG65 (3.93%)9
T-wave inversion39HCM (3)bCMR (4)Disqualifiedb
Low atrial rhythm9
Premature ventricular complex, 2 in 10 s5Holter (3)
Pre-excitation syndrome (WPW)7WPW (5)EPS (5)RF ablation (5)
Q wave, pathological3
Nodal rhythm2
Doppler echocardiography79 (4.78%)7
Hypertrophy LV22CMR (3)
Dilated LV12CMR (1)
Aorta, bicuspid7
Aortic valve, mild regurgitation16
Mitral valve, moderate regurgitation2
Tricuspid, moderate regurgitation3CMR (1)
Interatrial communication (IAC)9IAC (2)Catheter-ismClose IAC (2)
Hypertrophic cardiomyopathy (HCM)3HCM (3)bCMR (3)Disqualifiedb
Aortic root dilatation2
Anomalous origin of coronary artery (AOCA)1AOCACTDisqualified
RV compression, pectus excavatum1RV alteredDisqualified
Patent ductus arteriosus1Ductus
Stress test29 (1.75%)4
Premature ventricular complex17PVC > 20% - 24 hHolter (9) EPS (1)
Exaggerated blood pressure response7
Supra-ventricular paroxysmal tachycardia (SVPT)2SVPTEPSRF ablation
Atrial fibrillation (AF)1AFEPS, CMRRF ablation
Infra-ST segment slope1CT
Sustained ventricular tachycardia (VT)1VT effortEPS, CMRRF ablationDisqualified
Total: n = 1650 athletes241 (14.6%)16106
FindingsNumber of athletesNewly diagnosedSecond line screeningTreatmentDisqualification
AHA questionnaire, 12 points84 (5.09%)1
Chest pain12
Syncope or pre-syncope24Holter (3)
Dyspnoea3
Sudden death in family <50 years old2. 3CMR (2) Holter (2)
Heart-disease in family <50 years old141aDisqualified
Murmurs6
Decreased peripheral pulse0
Marfan syndrome – stigmata0
Arterial hypertension2
ECG65 (3.93%)9
T-wave inversion39HCM (3)bCMR (4)Disqualifiedb
Low atrial rhythm9
Premature ventricular complex, 2 in 10 s5Holter (3)
Pre-excitation syndrome (WPW)7WPW (5)EPS (5)RF ablation (5)
Q wave, pathological3
Nodal rhythm2
Doppler echocardiography79 (4.78%)7
Hypertrophy LV22CMR (3)
Dilated LV12CMR (1)
Aorta, bicuspid7
Aortic valve, mild regurgitation16
Mitral valve, moderate regurgitation2
Tricuspid, moderate regurgitation3CMR (1)
Interatrial communication (IAC)9IAC (2)Catheter-ismClose IAC (2)
Hypertrophic cardiomyopathy (HCM)3HCM (3)bCMR (3)Disqualifiedb
Aortic root dilatation2
Anomalous origin of coronary artery (AOCA)1AOCACTDisqualified
RV compression, pectus excavatum1RV alteredDisqualified
Patent ductus arteriosus1Ductus
Stress test29 (1.75%)4
Premature ventricular complex17PVC > 20% - 24 hHolter (9) EPS (1)
Exaggerated blood pressure response7
Supra-ventricular paroxysmal tachycardia (SVPT)2SVPTEPSRF ablation
Atrial fibrillation (AF)1AFEPS, CMRRF ablation
Infra-ST segment slope1CT
Sustained ventricular tachycardia (VT)1VT effortEPS, CMRRF ablationDisqualified
Total: n = 1650 athletes241 (14.6%)16106

AHA: American Heart Association; CMR: cardiac magnetic resonance imaging; ECG: electrocardiograph; EPS: electrophysiological study; LV: left ventricle; RF: radiofrequency; RV: right ventricle; CT: coronary computed tomography.

a

Family history of hypertrophic cardiomyopathy.

b

Athletes in which the ECG showed negative T waves, and echocardiogram confirmed the diagnosis of hypertrophic cardiomyopathy.

The population was divided into four groups after the PPS: (a) normal studies, n = 1462 (88.60%); (b) minor alterations that require annual monitoring (10.48%); (c) athletes requiring a specific treatment in order to continue competing in sports, n = 10 (0.60%); and (d) athletes disqualified from participation in sports, n = 6 (0.36%) for the following diseases: hypertrophic cardiomyopathy (three), anomalous origin of coronary artery (one), pectus excavatum (one), and compression of the right ventricle (one) (Figure 1). The treatments required to continue competing included two closures of inter-atrial communications and eight radiofrequency ablations, for supra-ventricular paroxysmal tachycardia, frequent premature ventricular complex (PVC), atrial fibrillation, and the remaining five for ventricular pre-excitation.

Flow chart showing the study findings. PVC: premature ventricular complex.
Figure 1.

Flow chart showing the study findings. PVC: premature ventricular complex.

Table 3 shows the capacity of each of the screening tools to detect a need for a specific treatment or disqualification from sport participation. The ECG and echocardiogram had the better diagnostic capacity to detect athletes who should be disqualified, while ECG, Doppler echocardiography and stress testing were most useful for identifying those requiring specific treatment. The AHA questionnaire lacked adequate diagnostic capability due to the low sensitivity values and a positive and negative likelihood ratio near one.20 The cumulative diagnostic yield of the tests used in the PPS was analysed in Figure 2.

Table 3.

Diagnostic capacity for each of the points that determined a specific treatment or sports disqualification.

Sensitivity, %Specificity, %Likelihood ratio+Likelihood ratio −AUC
Treatment
 AHA questionnaire 12 points0950.01.050.47
 ECG509613.510.520.73
 Echocardiogram40958.700.630.67
 Stress test309818.920.710.64
Disqualification
 AHA questionnaire 12 points16983.260.880.55
 ECG509511.110.520.72
 Echocardiogram839614.570.180.88
 Stress test169810.150.850.57
Sensitivity, %Specificity, %Likelihood ratio+Likelihood ratio −AUC
Treatment
 AHA questionnaire 12 points0950.01.050.47
 ECG509613.510.520.73
 Echocardiogram40958.700.630.67
 Stress test309818.920.710.64
Disqualification
 AHA questionnaire 12 points16983.260.880.55
 ECG509511.110.520.72
 Echocardiogram839614.570.180.88
 Stress test169810.150.850.57
Table 3.

Diagnostic capacity for each of the points that determined a specific treatment or sports disqualification.

Sensitivity, %Specificity, %Likelihood ratio+Likelihood ratio −AUC
Treatment
 AHA questionnaire 12 points0950.01.050.47
 ECG509613.510.520.73
 Echocardiogram40958.700.630.67
 Stress test309818.920.710.64
Disqualification
 AHA questionnaire 12 points16983.260.880.55
 ECG509511.110.520.72
 Echocardiogram839614.570.180.88
 Stress test169810.150.850.57
Sensitivity, %Specificity, %Likelihood ratio+Likelihood ratio −AUC
Treatment
 AHA questionnaire 12 points0950.01.050.47
 ECG509613.510.520.73
 Echocardiogram40958.700.630.67
 Stress test309818.920.710.64
Disqualification
 AHA questionnaire 12 points16983.260.880.55
 ECG509511.110.520.72
 Echocardiogram839614.570.180.88
 Stress test169810.150.850.57
Cumulative diagnostic yield and impact of their findings on treatment of each of the tests used in the pre-participation screening (PPS). AHA: American Heart Association; ECG: electrocardiogram.
Figure 2.

Cumulative diagnostic yield and impact of their findings on treatment of each of the tests used in the pre-participation screening (PPS). AHA: American Heart Association; ECG: electrocardiogram.

Table 4 shows the total cost of the PPS and the frequency with which an additional study or specific treatment was indicated, with the cost of each shown in euros. The program cost divided by each of the six disqualified athletes was €45,578 (US$50,135).

Table 4.

Cost in euros (€) of each test used and of total pre-participation screening (PPS) programme.

n AthletesCost per test (€)Total test cost (€)
AHA questionnaire, 12 points16504066,000
ECG16501829,700
Doppler echocardiography16505692,400
Stress test16503151,150
First line cost PPS145239,250
 Radiofrequency ablation8280022,400
 Cardiac magnetic resonance162764416
 Coronary tomography2197394
 Holter ECG 24 hours1736612
 Septal catheterisation232006400
Second line cost of PPS34,222
Total PPS cost273,472
Cost for each athlete disqualified (6 cases)45,578
n AthletesCost per test (€)Total test cost (€)
AHA questionnaire, 12 points16504066,000
ECG16501829,700
Doppler echocardiography16505692,400
Stress test16503151,150
First line cost PPS145239,250
 Radiofrequency ablation8280022,400
 Cardiac magnetic resonance162764416
 Coronary tomography2197394
 Holter ECG 24 hours1736612
 Septal catheterisation232006400
Second line cost of PPS34,222
Total PPS cost273,472
Cost for each athlete disqualified (6 cases)45,578
Table 4.

Cost in euros (€) of each test used and of total pre-participation screening (PPS) programme.

n AthletesCost per test (€)Total test cost (€)
AHA questionnaire, 12 points16504066,000
ECG16501829,700
Doppler echocardiography16505692,400
Stress test16503151,150
First line cost PPS145239,250
 Radiofrequency ablation8280022,400
 Cardiac magnetic resonance162764416
 Coronary tomography2197394
 Holter ECG 24 hours1736612
 Septal catheterisation232006400
Second line cost of PPS34,222
Total PPS cost273,472
Cost for each athlete disqualified (6 cases)45,578
n AthletesCost per test (€)Total test cost (€)
AHA questionnaire, 12 points16504066,000
ECG16501829,700
Doppler echocardiography16505692,400
Stress test16503151,150
First line cost PPS145239,250
 Radiofrequency ablation8280022,400
 Cardiac magnetic resonance162764416
 Coronary tomography2197394
 Holter ECG 24 hours1736612
 Septal catheterisation232006400
Second line cost of PPS34,222
Total PPS cost273,472
Cost for each athlete disqualified (6 cases)45,578

Discussion

This study analysed PPS in competitive adolescent athletes included in a high-performance sports programme, showing that the ECG is a useful cardiological assessment. The addition of Doppler echocardiography was useful for detecting diseases that require disqualification from competitive sport, and the stress test was useful for pathologies that require specific treatment. The program for prevention of sudden death in sport (ECG, Doppler echocardiography and stress test) was cost-effective in our environment by identifying diseases that can cause sudden death in athletes or their immediate families.

AHA questionnaire

The 12-point AHA questionnaire22 has been accepted for international use, and since 2014 has added two points compared to the previous disqualification and heart disease genetic basis relatives.31 In our study, positive identification by the AHA questionnaire had limited usefulness.20 However, given its low cost and that it is the gateway to the PPS, the AHA questionnaire can be considered essential in the screening program, but should not be used in isolation. One limitation we have observed in our experience but not found previously discussed elsewhere is the lack of rigour with which these questionnaires can be completed by athletes, to the extent of omitting some or all data in reporting.

ECG

Surprisingly, there is still controversy about the usefulness of ECG in the USA5 due to its cost-effectiveness31 and the percentage of false positives under European Society of Cardiology criteria,32 which exceeded 10%.33 In 2013, the Seattle criteria23 were published, which decreased the percentage of false positives to less than 5%.33,34 Therefore, we used the Seattle criteria and retrospectively reanalysed the ECGs performed prior to that publication. We did not apply the redefined criteria,35 because, although they have been shown to improve diagnostic specificity in black subjects, no additional diagnostic value has been demonstrated in Caucasian individuals. The alterations that motivated the taking of behaviour in athletes were three: (a) presence of negative T waves, (b) pre-excitation, and (c) PVCs. In our study, a positive ECG increased the probability of identifying diseases requiring specific treatment, as well as disqualifying young people from sports, so we consider the ECG indispensable in a PPS.

Doppler echocardiography

Since 1995, echocardiography has been increasingly incorporated into PPS6 because it provides added diagnostic value to physical examination and ECG in three main pathologies:10 (a) hypertrophic cardiomyopathy with normal ECG, (b) anomalous origin of coronary arteries, and (c) diseases of the aorta. Some groups have suggested using a five-minute directed ECG;7 in our case, we carried out a full protocol to assess the size and function of the heart chambers, valves and aorta as well as the origin of the coronary arteries.9 In our environment, it is also recommended that all high-performance athletes undergo a Doppler echocardiogram and a stress test during PPS.21

The incidence of abnormalities detected by echocardiography was less than 5%; this is consistent with the literature810,36 and generated eight (0.04%) cardiac resonance tests to complete the diagnosis at a reasonable additional expense within the total cost of the PPS.

Stress test

The scientific evidence on the usefulness of the stress test in PPS is scarce, and is based on a study of a large cohort12 that showed detection of ventricular arrhythmia to be a marker for heart disease that led to behavioural changes in athletes. Another recent study shows that the presence of more than 10 diagnoses of premature ventricular complex during the test would be significantly related to the presence of pathology.37 The stress test in our study showed a good diagnostic ability to detect pathologies that require specific treatment, especially possible arrhythmias to treat with radiofrequency ablation. We believe there are three situations in which adding a stress test to PPS is beneficial in this age group: (a) ventricular arrhythmia occurs when maximum effort is sustained during exercise, (b) supra-ventricular arrhythmia occurs during exercise, and (c) ST segment depression occurs in athletes.

Cost-effectiveness

According to the data from our study and in the literature, an analysis of 100,000 PPS will disqualify about 300 athletes;19,3840 however, the annual incidence of sudden death in sports is two in 100,000 athletes.1 We acknowledge the limited value of our cost-effectiveness study in the sense that the correct calculation for cost effectiveness should be that including the prevention of sudden cardiac death in the athletes and their families throughout their lives. Further long term follow-up registries might be of help in the future.

The scientific evidence regarding the use of PPS to reduce sudden death events in athletes is both complex and scarce. Results from a single cohort with follow-up have been published in relation to this topic.2 Therefore, we consider it appropriate to include the deaths of athletes at rest, athletes revived by cardiopulmonary resuscitation, and the potential for prevention in first degree relatives (Figure 2) in the analysis.

In our environment, the PPS cost for each athlete was estimated at €145 (US$159.50); adding the total cost of the 2nd line of studies, the cost for each disqualified athlete was €45,578 (US$50,135). The classical measure of efficiency has drawn the line at US$50,000 per year of life gained;11,41 however, the World Health Organisation suggests that interventions that fall between up to three times the gross domestic product per capita should be considered cost-effective.44 Bearing in mind that the gross domestic product per capita in Catalonia in 2015 was €28,997,45 in our country the PPS is a cost-effective measure to reduce the incidence of sudden death.

In summary, the European Society of Cardiology suggests PPS consisting of family and personal history and ECG;3 in competitive athletes, Doppler echocardiography can be added, as suggested in our country’s guidelines.21 This PPS intervention was cost effective.

Limitations

The study had three main limitations: (a) all athletes were competitive and were included in a programme of high performance training, which could generate a potential selection bias; therefore, translation of the current results to recreational athletes must be taken with caution; (b) In rare diseases such as long QT, arrhythmogenic cardiomyopathy or some other congenital syndromes, the expected costs could have been even higher due to the use of genetic testing. However, these are on the one hand infrequent cases, and on the other, genetic testing is becoming more and more available and less expensive due to the use of multiple diagnosis kits and advanced molecular biology techniques; (c) considering that the athletes usually start their competitive training program at age 12 years; we can consider that the studied population had an average of three years of training; this time may be too short to induce significant cardiac remodelling or even pathological abnormalities that could be detected in the pre-participation screening tests evaluated in the study; and (d) the cost of diagnostic studies in our country is lower than that reported in other countries.11,18,41 The latter is a key point for cost-effectiveness, and in turn limits extrapolation of these data to other countries.

Conclusion

The ECG and echocardiogram were the most useful screening tools for detecting athletes susceptible to sudden cardiac death. The stress test was most useful for diagnosing arrhythmias requiring specific treatment. The 12-point AHA questionnaire had weak diagnostic utility. In our setting, the PPS was cost-effective to detect athletes susceptible to sudden death in sport.

Author contribution

All authors have contributed to the conception and design of the work. All authors contributed to the acquisition; GG, MSG, BV, GSB, JB and MS contributed to the analysis; GG and MS contributed to the interpretation of data for the work. GG, MSG and MS drafted the manuscript. All authors critically revised the manuscript. All gave final approval and agree to be accountable for all aspects of work ensuring integrity and accuracy.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was partly funded by an unconditional grant from the Memora Group and by the National R & D Plan of Spain’s Ministry of Science and Innovation 2011-2013 (DEP 2010-20565) and Ministry of Economy and Competitiveness 2013 (DEP2013-44923-P), and the Generalitat de Catalunya (FI-AGAUR 2014-2017, RH 040 991).

References

1

Solberg
E
,
Borjesson
M
,
Sharma
S
et al.  
Sudden cardiac arrest in sports – need for uniform registration: A Position Paper from the Sport Cardiology Section of the European Association for Cardiovascular Prevention and Rehabilitation
.
Eur J Prev Cardiol
 
2016
;
23
:
657
667
.

2

Corrado
D
,
Basso
C
,
Andrea
P
.
Trends in sudden cardiovascular death in young competitive athletes
.
JAMA
 
2006
;
296
:
1593
1601
.

3

Corrado
D
,
Pelliccia
A
,
Bjørnstad
HH
et al.  
Cardiovascular pre-participation screening of young competitive athletes for prevention of sudden death: proposal for a common European protocol. Consensus Statement of the Study Group of Sport Cardiology of the Working Group of Cardiac Rehabilitation and Exercise Physiology and the Working Group of Myocardial and Pericardial Diseases of the European Society of Cardiology
.
Eur Heart J
 
2005
;
26
:
516
524
.

4

Mont
L
,
Pelliccia
A
,
Sharma
S
et al.  
Pre-participation cardiovascular evaluation for athletic participants to prevent sudden death: Position paper from the EHRA and the EACPR, branches of the ESC. Endorsed by APHRS, HRS, and SOLAECE
.
Eur J Prev Cardiol
 
2017
;
24
:
41
69
.

5

Maron
BJ
,
Levine
BD
,
Washington
RL
et al.  
Eligibility and disqualification recommendations for competitive athletes with cardiovascular abnormalities: Task Force 2: Preparticipation screening for cardiovascular disease in competitive athletes: A scientific statement from the American Heart Association
.
Circulation
 
2015
;
132
:
e267
e272
.

6

Weidenbener
EJ
,
Krauss
MD
,
Waller
BF
et al.  
Incorporation of screening echocardiography in the preparticipation exam
.
Clin J Sport Med Off J Can Acad Sport Med
 
1995
;
5
:
86
89
.

7

Wyman
R a
,
Chiu
RY
,
Rahko
PS
.
The 5-minute screening echocardiogram for athletes
.
J Am Soc Echocardiogr
 
2008
;
21
:
786
788
.

8

Rizzo
M
,
Spataro
A
,
Cecchetelli
C
et al.  
Structural cardiac disease diagnosed by echocardiography in asymptomatic young male soccer players: Implications for pre-participation screening
.
Br J Sports Med
 
2012
;
46
:
371
373
.

9

Weiner
RB
,
Wang
F
,
Hutter
AM
et al.  
The feasibility, diagnostic yield, and learning curve of portable echocardiography for out-of-hospital cardiovascular disease screening
.
J Am Soc Echocardiogr
 
2012
;
25
:
568
575
.

10

Grazioli
G
,
Merino
B
,
Montserrat
S
et al.  
Usefulness of echocardiography in preparticipation screening of competitive athletes
.
Rev Esp Cardiol
 
2014
;
67
:
701
705
.

11

Wheeler
MT
,
Heidenreich
PA
,
Froelicher
VF
et al.  
Cost-effectiveness of preparticipation screening for prevention of sudden cardiac death in young athletes
.
Ann Intenal Med
 
2010
;
152
:
276
286
.

12

Sofi
F
,
Capalbo
A
,
Pucci
N
et al.  
Cardiovascular evaluation, including resting and exercise electrocardiography, before participation in competitive sports: Cross sectional study
.
Br Med J
 
2008
;
337
:
a346
a346
.

13

Fuller
CM
.
Cost effectiveness analysis of screening of high school athletes for risk of sudden cardiac death
.
Med Sci Sports Exerc
 
2000
;
32
:
887
890
.

14

Tanaka
Y
,
Yoshinaga
M
,
Anan
T
et al.  
Usefulness and cost effectiveness of cardiovascular screening of young adolescents
.
Med Sci Sport Exerc
 
2006
;
38
:
2
6
.

15

Baggish
AL
,
Hutter
AM
,
Wang
F
et al.  
Cardiovascular screening in college athletes with and without electrocardiography: A cross-sectional study
.
Ann Intern Med
 
2010
;
152
:
269
275
.

16

Malhotra
R
,
West
JJ
,
Dent
J
et al.  
Cost and yield of adding electrocardiography to history and physical in screening Division I intercollegiate athletes: A 5-year experience
.
Heart Rhythm
 
2011
;
8
:
721
727
.

17

Koch
S
,
Cassel
M
,
Linne
K
et al.  
ECG and echocardiographic findings in 10–15-year-old elite athletes
.
Eur J Prev Cardiol
 
2012
;
21
:
774
781
.

18

Menafoglio
A
,
Di Valentino
M
,
Segatto
J-M
et al.  
Costs and yield of a 15-month preparticipation cardiovascular examination with ECG in 1070 young athletes in Switzerland: Implications for routine ECG screening
.
Br J Sports Med
 
2014
;
48
:
1157
1161
.

19

Dhutia
H
,
Malhotra
A
,
Gabus
V
et al.  
Cost implications of using different ECG criteria for screening young athletes in the United Kingdom
.
J Am Coll Cardiol
 
2016
;
68
:
702
711
.

20

Harmon
KG
,
Zigman
M
,
Drezner
JA
.
Sensitivity, specificity and positive predictive value of history, physical exam, and ECG to detect potentially lethal cardiac disorders in athletes: A systematic review
.
J Electrocardiol
 
2015
;
48
:
329
338
.

21

Sitges
M
,
Gutiérrez
JA
,
Brugada
J
et al.  
Consensus for the prevention of sudden cardiac death in athletes
.
Apunt Med Esport
 
2013
;
48
:
35
41
.

22

Maron
BJ
,
Douglas
PS
,
Graham
TP
et al.  
Disease in Athletes Task Force 1: Preparticipation screening and diagnosis of cardiovascular disease in athletes
.
J Am Coll Cardiol
 
2005
;
45
:
1322
1326
.

23

Drezner
J a
,
Ackerman
MJ
,
Anderson
J
et al.  
Electrocardiographic interpretation in athletes: The “Seattle criteria”
.
Br J Sports Med
 
2013
;
47
:
122
124
.

24

Manonelles Marqueta
P
,
Franco Bonafonte
L
,
Naranjo Orellana
J
et al.  
Documento de consenso de la Sociedad Española de Medicina del Deporte (SEMED-FEMEDE)
.
Arch Med Deport
 
2016
;
33
:
S5
S83
.

25

Budts
W
,
Börjesson
M
,
Chessa
M
et al.  
Physical activity in adolescents and adults with congenital heart defects: Individualized exercise prescription
.
Eur Heart J
 
2013
;
34
:
3669
3674
.

26

Heidbüchel
H
,
Panhuyzen-Goedkoop
N
et al.  
Recommendations for participation in leisure-time physical activity and competitive sports in patients with arrhythmias and potentially arrhythmogenic conditions Part I: Supraventricular arrhythmias and pacemakers
.
Eur J Cardiovasc Prev Rehabil
 
2006
;
13
:
475
484
.

27

Heidbüchel
H
,
Corrado
D
,
Biffi
A
et al.  
Recommendations for participation in leisure-time physical activity and competitive sports of patients with arrhythmias and potentially arrhythmogenic conditions. Part II: Ventricular arrhythmias, channelopathies and implantable defibrillators
.
Eur J Cardiovasc Prev Rehabil
 
2006
;
13
:
676
686
.

28

Takken
T
,
Giardini
A
,
Reybrouck
T
et al.  
Recommendations for physical activity, recreation sport, and exercise training in paediatric patients with congenital heart disease: A report from the Exercise, Basic & Translational Research Section of the European Association of Cardiovascular Prevention
.
Eur J Cardiovasc Prev Rehabil
 
2012
;
5
:
1034
1065
.

29

Grazioli
G
,
Brotons
D
,
Pifarré
F
et al.  
Cardiological contraindications in sports
.
Apunt Med Esport
 
2017
;
52
:
3
9
.

30

Departament de Salut. ORDEN SLT/42/2012. Diari Oficial de la General Catalunya [Internet]. 2012;6079:10706–856, http://portaldogc.gencat.cat/utilsEADOP/PDF/6079/1227866.pdf (accessed 31 January 2017)
.

31

Maron
BJ
,
Friedman
R
,
Kligfield
P
et al.  
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): A scientific statement from the American Heart Association and the American College of Cardiology
.
Circulation
 
2014
;
130
:
1303
1334
.

32

Corrado
D
,
Pelliccia
A
,
Heidbuchel
H
et al.  
Recommendations for interpretation of 12-lead electrocardiogram in the athlete
.
Eur Heart J
 
2010
;
31
:
243
59
.

33

Brosnan M, La Gerche A, Kalman J, et al. The Seattle Criteria increase the specificity of preparticipation ECG screening among elite athletes. Br J Sports Med 2014; 48: 1144–1150
.

34

Drezner
JA
,
Harmon
KG
,
Asif
IM
et al.  
Why cardiovascular screening in young athletes can save lives: A critical review
.
Br J Sports Med
 
2016
;
50
:
1376
1378
.

35

Sheikh
N
,
Papadakis
M
,
Ghani
S
et al.  
Comparison of electrocardiographic criteria for the detection of cardiac abnormalities in elite black and white athletes
.
Circulation
 
2014
;
129
:
1637
1649
.

36

Zeltser
I
,
Cannon
B
,
Silvana
L
et al.  
Lessons learned from preparticipation cardiovascular screening in a state funded program
.
Am J Cardiol
 
2012
;
110
:
902
908
.

37

Verdile
L
,
Maron
BJ
,
Pelliccia
A
et al.  
Clinical significance of exercise-induced ventricular tachyarrhythmias in trained athletes without cardiovascular abnormalities
.
Heart Rhythm
 
2015
;
12
:
78
85
.

38

La Gerche
A
,
Baggish
AL
,
Knuuti
J
et al.  
Cardiac imaging and stress testing asymptomatic athletes to identify those at risk of sudden cardiac death
.
JACC Cardiovasc Imaging
 
2013
;
6
:
993
1007
.

39

Sharma
S
,
Marck Estes
N
,
Vetter
VL
et al.  
Clinical decisions require young athletes to undergo cardiac screening before participation in sports do not require young athletes to undergo cardiac screening before participation in sports
.
N Engl J Med
 
2013
;
369
:
2049
2053
.

40

Pelliccia
A
,
Adami
PE
,
Quattrini
F
et al.  
Are Olympic athletes free from cardiovascular diseases? Systematic investigation in 2352 participants from Athens 2004 to Sochi 2014
.
Br J Sports Med
 
2017
;
51
:
238
243
.

41

Leslie
LK
,
Cohen
JT
,
Newburger
JW
et al.  
Costs and benefits of targeted screening for causes of sudden cardiac death in children and adolescents
.
Circulation
 
2012
;
125
:
2621
2629
.

42

Marijon
E
,
Tafflet
M
,
Celermajer
DS
et al.  
Sports-related sudden death in the general population
.
Circulation
 
2011
;
124
:
672
681
.

43

Papadakis
M
,
Raju
H
,
Behr
ER
et al.  
Sudden cardiac death with autopsy findings of uncertain significance: Potential for erroneous interpretation
.
Circ Arrhythm Electrophysiol
 
2013
;
6
:
588
596
.

44

Smith
T
,
Jordaens
L
,
Theuns
DAMJ
et al.  
The cost-effectiveness of primary prophylactic implantable defibrillator therapy in patients with ischaemic or non-ischaemic heart disease: A European analysis
.
Eur Heart J
 
2013
;
34
:
211
219
.

45

Institut d’Estadística de Catalunya. GDP per inhabitant. 2011–2015, Statistical Yearbook of Catalonia, http://www.idescat.cat/pub/?id=aec&n=356&lang=en (2015, accessed 31 January 2017)
.

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://dbpia.nl.go.kr/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Comments

0 Comments
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.