Elsevier

The Journal of Pediatrics

Volume 159, Issue 5, November 2011, Pages 783-788
The Journal of Pediatrics

Original Article
Accuracy of Interpretation of Preparticipation Screening Electrocardiograms

https://doi.org/10.1016/j.jpeds.2011.05.014Get rights and content

Objective

To evaluate the accuracy of pediatric cardiologists’ interpretations of electrocardiograms (ECGs).

Study design

A series of 18 ECGs that represented conditions causing pediatric sudden cardiac death or normal hearts were interpreted by 53 members of the Western Society of Pediatric Cardiology. Gold-standard diagnoses and recommendations were determined by 2 electrophysiologists (100% concordance).

Results

The average number of correct ECG interpretations per respondent was 12.4 ± 2.2 (69%, range 34%-98%). Respondents achieved a sensitivity of 68% and a specificity of 70% for recognition of any abnormality. The false-positive and false-negative rates were 30% and 32%, respectively. Based on actual ECG diagnosis, sports participation was accurately permitted in 74% of cases and accurately restricted in 81% of cases. Respondents gave correct sports guidance most commonly in cases of long QT syndrome and myocarditis (98% and 90%, respectively) and least commonly in cases of hypertrophic cardiomyopathy, Wolff-Parkinson-White syndrome, and pulmonary hypertension (80%, 64%, and 38%, respectively). Respondents ordered more follow-up tests than did experts.

Conclusions

Preparticipation screening ECGs are difficult to interpret. Mistakes in ECG interpretation could lead to high rates of inappropriate sports guidance. A consequence of diagnostic error is overuse of ancillary diagnostic tests.

Section snippets

Methods

This study was an online questionnaire-based study investigating the accuracy of pediatric cardiologists’ interpretations of ECGs. We selected 18 12-lead ECGs from the ECG database at Lucile Packard Children’s Hospital. The 18 ECGs included 8 from patients with normal hearts and 10 from patients with conditions that commonly underlie SCD (1 with long QT syndrome (LQTS); 4 with hypertrophic cardiomyopathy (HCM); 2 with Wolff-Parkinson-White syndrome (WPWs); 1 with pulmonary arterial hypertension

Results

We emailed the survey link to 212 pediatric cardiologists. Although 97 respondents began the survey, only 53 finished it. Incomplete surveys were excluded. The rate of participation was 25%. The participants included 53 pediatric cardiologists, most of whom had been practicing for 5 to 15 years (43%) in university-based (47%) practices where 43% read more than 100 ECGs per month (Table).

The mean score for correct ECG interpretation was 12.4 (69%) ± 2.2 of the total possible 18 (range, 7-17),

Discussion

ECGs demonstrating diseases that underlie SCD are difficult to interpret, even for pediatric cardiologists; their accuracy rate in this study was 69%. We found that the accuracy rate did not differ significantly in respondents, despite variations in length of time practicing pediatric cardiology, number of ECGs read per month, or practice type. These findings are in agreement with other studies showing that the accuracy of ECG interpretation ranges from 53% to 96%.12, 13, 14, 15, 16, 17 Others

References (32)

  • B.J. Maron et al.

    Sudden deaths in young competitive athletes: analysis of 1866 deaths in the United States, 1980-2006

    Circulation

    (2009)
  • B.J. Maron et al.

    Sudden death in young competitive athletes: clinical, demographic, and pathological profiles

    JAMA

    (1996)
  • S.P. Van Camp et al.

    Nontraumatic sports death in high school and college athletes

    Med Sci Sports Exerc

    (1995)
  • B.J. Maron

    Sudden death in young athletes

    N Engl J Med

    (2003)
  • Anonymous. Legislation of October 26, 1971. #1099. Tutela sanitaria delle attività sportive [Medical protection of...
  • B.R. Chaitman

    An electrocardiogram should not be included in routine preparticipation screening of young athletes

    Circulation

    (2007)
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    A.D. receives fellowship support from Medtronic. The other authors declare no conflicts of interest.

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