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Electrocardiogram Screening for Disorders That Cause Sudden Cardiac Death in Asymptomatic Children: a Meta-analysis

Overview
Journal Pediatrics
Specialty Pediatrics
Date 2012 Mar 7
PMID 22392183
Citations 18
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Abstract

Background And Objectives: Pediatric sudden cardiac death (SCD) occurs in an estimated 0.8 to 6.2 per 100 000 children annually. Screening for cardiac disorders causing SCD in asymptomatic children has public appeal because of its apparent potential to avert tragedy; however, performance of the electrocardiogram (ECG) as a screening tool is unknown. We estimated (1) phenotypic (ECG- or echocardiogram [ECHO]-based) prevalence of selected pediatric disorders associated with SCD, and (2) sensitivity, specificity, and predictive value of ECG, alone or with ECHO.

Methods: We systematically reviewed literature on hypertrophic cardiomyopathy (HCM), long QT syndrome (LQTS), and Wolff-Parkinson-White syndrome, the 3 most common disorders associated with SCD and detectable by ECG.

Results: We identified and screened 6954 abstracts, yielding 396 articles, and extracted data from 30. Summary phenotypic prevalences per 100 000 asymptomatic children were 45 (95% confidence interval [CI]: 10-79) for HCM, 7 (95% CI: 0-14) for LQTS, and 136 (95% CI: 55-218) for Wolff-Parkinson-White. The areas under the receiver operating characteristic curves for ECG were 0.91 for detecting HCM and 0.92 for LQTS. The negative predictive value of detecting either HCM or LQTS by using ECG was high; however, the positive predictive value varied by different sensitivity and specificity cut-points and the true prevalence of the conditions.

Conclusions: Results provide an evidence base for evaluating pediatric screening for these disorders. ECG, alone or with ECHO, was a sensitive test for mass screening and negative predictive value was high, but positive predictive value and false-positive rates varied.

Citing Articles

[Arrhythmias and Sudden Death Risk in Hypertrophic Cardiomyopathy].

Salinas-Arce J, Gonzales-Luna A, Cabrera-Saldana M, Mendoza-Novoa P, Alca-Clares R, Solorzano-Altamirano P Arch Peru Cardiol Cir Cardiovasc. 2024; 1(2):94-104.

PMID: 38572329 PMC: 10986354. DOI: 10.47487/apcyccv.v1i2.41.


Effects of antidepressants on QT interval in people with mental disorders.

Aronow W, Shamliyan T Arch Med Sci. 2020; 16(4):727-741.

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Validation of a smartphone-based electrocardiography in the screening of QT intervals in children.

Karacan M, Celik N, Gul E, Akdeniz C, Tuzcu V North Clin Istanb. 2019; 6(1):48-52.

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Electrocardiograms in Healthy North American Children in the Digital Age.

Saarel E, Granger S, Kaltman J, Minich L, Tristani-Firouzi M, Kim J Circ Arrhythm Electrophysiol. 2018; 11(7):e005808.

PMID: 29930156 PMC: 6034977. DOI: 10.1161/CIRCEP.117.005808.


Effects of atypical antipsychotic drugs on QT interval in patients with mental disorders.

Aronow W, Shamliyan T Ann Transl Med. 2018; 6(8):147.

PMID: 29862236 PMC: 5952011. DOI: 10.21037/atm.2018.03.17.


References
1.
Zou Y, Song L, Wang Z, Ma A, Liu T, Gu H . Prevalence of idiopathic hypertrophic cardiomyopathy in China: a population-based echocardiographic analysis of 8080 adults. Am J Med. 2004; 116(1):14-8. DOI: 10.1016/j.amjmed.2003.05.009. View

2.
Miller M, Porter Cb , Ackerman M . Diagnostic accuracy of screening electrocardiograms in long QT syndrome I. Pediatrics. 2001; 108(1):8-12. DOI: 10.1542/peds.108.1.8. View

3.
Konno T, Shimizu M, Ino H, Yamaguchi M, Terai H, Uchiyama K . Diagnostic value of abnormal Q waves for identification of preclinical carriers of hypertrophic cardiomyopathy based on a molecular genetic diagnosis. Eur Heart J. 2004; 25(3):246-51. DOI: 10.1016/j.ehj.2003.10.031. View

4.
Joseph L, Gyorkos T, Coupal L . Bayesian estimation of disease prevalence and the parameters of diagnostic tests in the absence of a gold standard. Am J Epidemiol. 1995; 141(3):263-72. DOI: 10.1093/oxfordjournals.aje.a117428. View

5.
Harris R, Helfand M, Woolf S, Lohr K, Mulrow C, Teutsch S . Current methods of the US Preventive Services Task Force: a review of the process. Am J Prev Med. 2001; 20(3 Suppl):21-35. DOI: 10.1016/s0749-3797(01)00261-6. View