scholarly journals T peak ‐T end , T peak ‐T end / QT ratio and T peak ‐T end dispersion for risk stratification in Brugada Syndrome: A systematic review and meta‐analysis

2018 ◽  
Vol 34 (6) ◽  
pp. 587-597 ◽  
Author(s):  
Gary Tse ◽  
Mengqi Gong ◽  
Christien Ka Hou Li ◽  
Keith Sai Kit Leung ◽  
Stamatis Georgopoulos ◽  
...  
2017 ◽  
Vol 40 (12) ◽  
pp. 1332-1345 ◽  
Author(s):  
Konstantinos P. Letsas ◽  
Dimitrios Asvestas ◽  
Adrian Baranchuk ◽  
Tong Liu ◽  
Stamatis Georgopoulos ◽  
...  

BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e055374
Author(s):  
Zhi Yang ◽  
Rong Xu ◽  
Jia-rong Wang ◽  
Hua-yan Xu ◽  
Hang Fu ◽  
...  

ObjectiveThis meta-analysis assessed the associations of myocardial fibrosis detected by late gadolinium-enhanced (LGE)-MRI with the risk of major adverse cardiac and cerebrovascular events (MACCEs) and major adverse cardiac events (MACEs) in patients with diabetes.DesignSystematic review and meta-analysis reported in accordance with the guidelines of the Meta-analysis of Observational Studies in Epidemiology statement.Data sourcesWe searched the Medline, Embase and Cochrane by Ovid databases for studies published up to 27 August 2021.Eligibility criteriaProspective or respective cohort studies were included if they reported the HR and 95% CIs for MACCEs/MACEs in patients with either type 1 or 2 diabetes and LGE-MRI-detected myocardial fibrosis compared with patients without LGE-MRI-detected myocardial fibrosis and if the articles were published in the English language.Data extraction and synthesisTwo review authors independently extracted data and assessed the quality of the included studies. Pooled HRs and 95% CIs were analysed using a random effects model. Heterogeneity was assessed using forest plots and I2 statistics.ResultsEight studies with 1121 patients with type 1 or type 2 diabetes were included in this meta-analysis, and the follow-up ranged from 17 to 70 months. The presence of myocardial fibrosis detected by LGE-MRI was associated with an increased risk for MACCEs (HR: 2.58; 95% CI 1.42 to 4.71; p=0.002) and MACEs (HR: 5.28; 95% CI 3.20 to 8.70; p<0.001) in patients with diabetes. Subgroup analysis revealed that ischaemic fibrosis detected by LGE was associated with MACCEs (HR 3.80, 95% CI 2.38 to 6.07; p<0.001) in patients with diabetes.ConclusionsThis study demonstrated that ischaemic myocardial fibrosis detected by LGE-MRI was associated with an increased risk of MACCEs/MACEs in patients with diabetes and may be an imaging biomarker for risk stratification. Whether LGE-MRI provides incremental prognostic information with respect to MACCEs/MACEs over risk stratification by conventional cardiovascular risk factors requires further study.


2019 ◽  
Vol 10 ◽  
Author(s):  
Yihan Yang ◽  
Dan Hu ◽  
Frederic Sacher ◽  
Kengo F. Kusano ◽  
Xinye Li ◽  
...  

Author(s):  
Pyeong Hwa Kim ◽  
Chong Hyun Suh ◽  
Jung Hwan Baek ◽  
Sae Rom Chung ◽  
Young Jun Choi ◽  
...  

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
H Kawakami ◽  
N Nerlekar ◽  
K H Haugaa ◽  
T Edvardsen ◽  
T H Marwick

Abstract Background Recent studies have demonstrated that left ventricular mechanical dispersion (LVMD) assessed by speckle tracking might be a powerful marker in risk stratification for ventricular arrhythmias (VA). We sought to perform a systematic review and meta-analysis to i) assess the prognostic value of this parameter (previous studies were predominantly single-center), ii) define the value relative to other parameters, iii) identify the most appropriate cutoff for designating risk. Purpose To assess the association between LVMD and the incidence of VA. Methods A systemic review of studies reporting the predictive value of LVMD for VA was undertaken from a search of Medline and Embase. LVMD was defined as the standard deviation of time from Q/R on ECG to peak negative strain from each LV segment. VA events were defined as sudden cardiac death, cardiac arrest, documented ventricular tachyarrhythmia, and appropriate implantable cardioverter defibrillator therapy. Hazard ratios (HRs) were extracted from univariable and multivariable models reporting on the association of LVMD and VA and described as pooled estimates with 95% confidence intervals (CIs). In a meta-analysis, the predictive value of LVMD was compared to that of left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS). Results Among 3198 patients (weighted mean, 63 years, 30% female; 82% ischemic heart disease) in 12 published articles, 387 (12%) had VA events over a follow-up (17–70 months). Patients with VA events had a significantly greater mechanical dispersion compared with those without VA events (weighted mean difference, −20.3 ms; 95% CI, −27.3 to −13.2; p<0.01); 60 ms was found to be the optimal cutoff LVMD value for predicting VA events. Each 10 ms increment of LVMD was significantly and independently associated with VA events (HR, 1.19; 95% CI, 1.09 to 1.29; p<0.01). The predictive value of LVMD was superior to that of LVEF or GLS (Figure). Figure 1 Conclusion LVMD assessed by speckle tracking provides important predictive value for VA in patients with a number of cardiac diseases and appears to have superior predictive value to LVEF and GLS for risk stratification.


2014 ◽  
Vol 132 (3) ◽  
pp. 669-676 ◽  
Author(s):  
Haleh Ghooshkhanei ◽  
Giorgio Treglia ◽  
Golnaz Sabouri ◽  
Rozita Davoodi ◽  
Ramin Sadeghi

Authorea ◽  
2020 ◽  
Author(s):  
Pattara Rattanawong ◽  
Jakrin Kewcharoen ◽  
Chanavuth Kanitsoraphan ◽  
Wasawat Vutthikraivit ◽  
Prapaipan Putthapiban ◽  
...  

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