Lee, Sharen, Zhou, Jiandong, Jeevaratnam, Kamalan, Wong, Wing Tak, Wong, Ian Chi Kei, Mak, Chloe, Mok, Ngai Shing, Liu, Tong, Zhang, Qingpeng, Tse, Gary and others. (2021) Paediatric/young versus adult patients with long QT syndrome. Open Heart, 8 (2). Article Number e001671. ISSN 2053-3624. (doi:10.1136/openhrt-2021-001671) (KAR id:98736)
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Official URL: https://doi.org/10.1136/openhrt-2021-001671 |
Abstract
Introduction: 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.
Item Type: | Article |
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DOI/Identification number: | 10.1136/openhrt-2021-001671 |
Subjects: | R Medicine |
Divisions: | Divisions > Division of Natural Sciences > Kent and Medway Medical School |
Depositing User: | Manfred Gschwandtner |
Date Deposited: | 06 Dec 2022 11:19 UTC |
Last Modified: | 05 Nov 2024 13:04 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/98736 (The current URI for this page, for reference purposes) |
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