Temporal Variability in Electrocardiographic Indices in Subjects With Brugada Patterns
IntroductionPatients with Brugada electrocardiographic (ECG) patterns have differing levels of arrhythmic risk. We hypothesized that temporal variations in certain ECG markers may provide additional value for risk stratification. The present study evaluated the relationship between temporal variabil...
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Frontiers Media S.A.
2020-09-01
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Online Access: | https://www.frontiersin.org/article/10.3389/fphys.2020.00953/full |
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author | Sharen Lee Jiandong Zhou Tong Liu Konstantinos P. Letsas Sandeep S. Hothi Vassilios S. Vassiliou Guoliang Li Adrian Baranchuk Raymond W. Sy Raymond W. Sy Dong Chang Qingpeng Zhang Gary Tse Gary Tse |
author_facet | Sharen Lee Jiandong Zhou Tong Liu Konstantinos P. Letsas Sandeep S. Hothi Vassilios S. Vassiliou Guoliang Li Adrian Baranchuk Raymond W. Sy Raymond W. Sy Dong Chang Qingpeng Zhang Gary Tse Gary Tse |
author_sort | Sharen Lee |
collection | DOAJ |
description | IntroductionPatients with Brugada electrocardiographic (ECG) patterns have differing levels of arrhythmic risk. We hypothesized that temporal variations in certain ECG markers may provide additional value for risk stratification. The present study evaluated the relationship between temporal variability of ECG markers and arrhythmic outcomes in patients with a Brugada pattern ECG. Comparisons were made between low-risk asymptomatic subjects versus high-risk symptomatic patients with a history of syncope, ventricular tachycardia (VT) or ventricular fibrillation (VF).MethodsA total of 81 patients presenting with Brugada patterns were recruited. Serial ECGs and electronic health records from January 2004 to April 2019 were analyzed. Temporal variability of QRS interval, J point-Tpeak interval (JTp), Tpeak-Tend interval (Tp-e), and ST elevation (STe) in precordial leads V1-3, in addition to RR-interval from lead II, was assessed using standard deviation and difference between maximum and minimum values over the serial ECGs.ResultsPatients presenting with type 1 Brugada ECG pattern initially had significantly higher variability in JTp from lead V2 (SD: 33.5 ± 13.8 vs. 25.2 ± 11.5 ms, P = 0.009; max-min: 98.6 ± 46.2 vs. 78.3 ± 47.6 ms, P = 0.047) and ST elevation in lead V1 (0.117 ± 0.122 vs. 0.053 ± 0.030 mV; P = 0.004). Significantly higher variability in Tp-e interval measured from lead V3 was observed in the VT/VF group compared to the syncope and asymptomatic groups (SD: 20.5 ± 8.5 vs. 16.6 ± 7.3 and 14.7 ± 9.8 ms; P = 0.044; max-min: 70.2 ± 28.9 vs. 56.3 ± 29.0 and 43.5 ± 28.5 ms; P = 0.011).ConclusionTemporal variability in ECG indices may provide additional value for risk stratification in patients with Brugada pattern. |
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spelling | doaj.art-8dfef7d5c4d34b1996b7c2d1d66dbb622022-12-21T23:43:13ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2020-09-011110.3389/fphys.2020.00953549372Temporal Variability in Electrocardiographic Indices in Subjects With Brugada PatternsSharen Lee0Jiandong Zhou1Tong Liu2Konstantinos P. Letsas3Sandeep S. Hothi4Vassilios S. Vassiliou5Guoliang Li6Adrian Baranchuk7Raymond W. Sy8Raymond W. Sy9Dong Chang10Qingpeng Zhang11Gary Tse12Gary Tse13Laboratory of Cardiovascular Physiology, Li Ka Shing Institute of Health Sciences, Hong Kong, ChinaSchool of Data Science, City University of Hong Kong, Hong Kong, ChinaTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, ChinaSecond Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, GreeceHeart and Lung Centre, New Cross Hospital, Wolverhampton, United KingdomNorwich Medical School, University of East Anglia, Faculty of Medicine, Imperial College London, London, United KingdomArrhythmia Unit, Department of Cardiovascular Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDivision of Cardiology, Kingston General Hospital, Queen’s University, Kingston, ON, CanadaSydney Medical School, University of Sydney, Sydney, NSW, Australia0Department of Cardiology, Royal Prince Alfred Hospital, University of Sydney, Sydney, NSW, Australia1Xiamen Cardiovascular Hospital, Xiamen University, Xiamen, ChinaSchool of Data Science, City University of Hong Kong, Hong Kong, ChinaTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China1Xiamen Cardiovascular Hospital, Xiamen University, Xiamen, ChinaIntroductionPatients with Brugada electrocardiographic (ECG) patterns have differing levels of arrhythmic risk. We hypothesized that temporal variations in certain ECG markers may provide additional value for risk stratification. The present study evaluated the relationship between temporal variability of ECG markers and arrhythmic outcomes in patients with a Brugada pattern ECG. Comparisons were made between low-risk asymptomatic subjects versus high-risk symptomatic patients with a history of syncope, ventricular tachycardia (VT) or ventricular fibrillation (VF).MethodsA total of 81 patients presenting with Brugada patterns were recruited. Serial ECGs and electronic health records from January 2004 to April 2019 were analyzed. Temporal variability of QRS interval, J point-Tpeak interval (JTp), Tpeak-Tend interval (Tp-e), and ST elevation (STe) in precordial leads V1-3, in addition to RR-interval from lead II, was assessed using standard deviation and difference between maximum and minimum values over the serial ECGs.ResultsPatients presenting with type 1 Brugada ECG pattern initially had significantly higher variability in JTp from lead V2 (SD: 33.5 ± 13.8 vs. 25.2 ± 11.5 ms, P = 0.009; max-min: 98.6 ± 46.2 vs. 78.3 ± 47.6 ms, P = 0.047) and ST elevation in lead V1 (0.117 ± 0.122 vs. 0.053 ± 0.030 mV; P = 0.004). Significantly higher variability in Tp-e interval measured from lead V3 was observed in the VT/VF group compared to the syncope and asymptomatic groups (SD: 20.5 ± 8.5 vs. 16.6 ± 7.3 and 14.7 ± 9.8 ms; P = 0.044; max-min: 70.2 ± 28.9 vs. 56.3 ± 29.0 and 43.5 ± 28.5 ms; P = 0.011).ConclusionTemporal variability in ECG indices may provide additional value for risk stratification in patients with Brugada pattern.https://www.frontiersin.org/article/10.3389/fphys.2020.00953/fullBrugadatemporalvariabilityrepolarizationECG |
spellingShingle | Sharen Lee Jiandong Zhou Tong Liu Konstantinos P. Letsas Sandeep S. Hothi Vassilios S. Vassiliou Guoliang Li Adrian Baranchuk Raymond W. Sy Raymond W. Sy Dong Chang Qingpeng Zhang Gary Tse Gary Tse Temporal Variability in Electrocardiographic Indices in Subjects With Brugada Patterns Frontiers in Physiology Brugada temporal variability repolarization ECG |
title | Temporal Variability in Electrocardiographic Indices in Subjects With Brugada Patterns |
title_full | Temporal Variability in Electrocardiographic Indices in Subjects With Brugada Patterns |
title_fullStr | Temporal Variability in Electrocardiographic Indices in Subjects With Brugada Patterns |
title_full_unstemmed | Temporal Variability in Electrocardiographic Indices in Subjects With Brugada Patterns |
title_short | Temporal Variability in Electrocardiographic Indices in Subjects With Brugada Patterns |
title_sort | temporal variability in electrocardiographic indices in subjects with brugada patterns |
topic | Brugada temporal variability repolarization ECG |
url | https://www.frontiersin.org/article/10.3389/fphys.2020.00953/full |
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