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Article: Paediatric/young versus adult patients with long QT syndrome

TitlePaediatric/young versus adult patients with long QT syndrome
Authors
Keywordsarrhythmias
cardiac
tachycardia
ventricular
ventricular fibrillation
Issue Date2021
Citation
Open Heart, 2021, v. 8, n. 2, article no. e001671 How to Cite?
AbstractIntroduction Long QT syndrome (LQTS) is a less prevalent cardiac ion channelopathy than Brugada syndrome in Asia. The present study compared the outcomes between paediatric/young and adult LQTS patients. Methods This was a population-based retrospective cohort study of consecutive patients diagnosed with LQTS attending public hospitals in Hong Kong. The primary outcome was spontaneous ventricular tachycardia/ventricular fibrillation (VT/VF). Results A total of 142 LQTS (mean onset age=27±23 years old) were included. Arrhythmias other than VT/VF (HR 4.67, 95% CI (1.53 to 14.3), p=0.007), initial VT/VF (HR=3.25 (95% CI 1.29 to 8.16), p=0.012) and Schwartz score (HR=1.90 (95% CI 1.11 to 3.26), p=0.020) were predictive of the primary outcome for the overall cohort, while arrhythmias other than VT/VF (HR=5.41 (95% CI 1.36 to 21.4), p=0.016) and Schwartz score (HR=4.67 (95% CI 1.48 to 14.7), p=0.009) were predictive for the adult subgroup (>25 years old; n=58). A random survival forest model identified initial VT/VF, Schwartz score, initial QTc interval, family history of LQTS, initially asymptomatic and arrhythmias other than VT/VF as the most important variables for risk prediction. Conclusion Clinical and ECG presentation varies between the paediatric/young and adult LQTS population. Machine learning models achieved more accurate VT/VF prediction.
Persistent Identifierhttp://hdl.handle.net/10722/330727
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLee, Sharen-
dc.contributor.authorZhou, Jiandong-
dc.contributor.authorJeevaratnam, Kamalan-
dc.contributor.authorWong, Wing Tak-
dc.contributor.authorWong, Ian Chi Kei-
dc.contributor.authorMak, Chloe-
dc.contributor.authorMok, Ngai Shing-
dc.contributor.authorLiu, Tong-
dc.contributor.authorZhang, Qingpeng-
dc.contributor.authorTse, Gary-
dc.date.accessioned2023-09-05T12:13:38Z-
dc.date.available2023-09-05T12:13:38Z-
dc.date.issued2021-
dc.identifier.citationOpen Heart, 2021, v. 8, n. 2, article no. e001671-
dc.identifier.issn2398-595X-
dc.identifier.urihttp://hdl.handle.net/10722/330727-
dc.description.abstractIntroduction Long QT syndrome (LQTS) is a less prevalent cardiac ion channelopathy than Brugada syndrome in Asia. The present study compared the outcomes between paediatric/young and adult LQTS patients. Methods This was a population-based retrospective cohort study of consecutive patients diagnosed with LQTS attending public hospitals in Hong Kong. The primary outcome was spontaneous ventricular tachycardia/ventricular fibrillation (VT/VF). Results A total of 142 LQTS (mean onset age=27±23 years old) were included. Arrhythmias other than VT/VF (HR 4.67, 95% CI (1.53 to 14.3), p=0.007), initial VT/VF (HR=3.25 (95% CI 1.29 to 8.16), p=0.012) and Schwartz score (HR=1.90 (95% CI 1.11 to 3.26), p=0.020) were predictive of the primary outcome for the overall cohort, while arrhythmias other than VT/VF (HR=5.41 (95% CI 1.36 to 21.4), p=0.016) and Schwartz score (HR=4.67 (95% CI 1.48 to 14.7), p=0.009) were predictive for the adult subgroup (>25 years old; n=58). A random survival forest model identified initial VT/VF, Schwartz score, initial QTc interval, family history of LQTS, initially asymptomatic and arrhythmias other than VT/VF as the most important variables for risk prediction. Conclusion Clinical and ECG presentation varies between the paediatric/young and adult LQTS population. Machine learning models achieved more accurate VT/VF prediction.-
dc.languageeng-
dc.relation.ispartofOpen Heart-
dc.subjectarrhythmias-
dc.subjectcardiac-
dc.subjecttachycardia-
dc.subjectventricular-
dc.subjectventricular fibrillation-
dc.titlePaediatric/young versus adult patients with long QT syndrome-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1136/openhrt-2021-001671-
dc.identifier.scopuseid_2-s2.0-85114993530-
dc.identifier.volume8-
dc.identifier.issue2-
dc.identifier.spagearticle no. e001671-
dc.identifier.epagearticle no. e001671-
dc.identifier.eissn2053-3624-
dc.identifier.isiWOS:000697844500001-

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