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 ◽  
...  
Keyword(s):  
Systematic Review ◽  
Risk Stratification ◽  
Brugada Syndrome ◽  
Meta Analysis

Prognosis, risk stratification, and management of asymptomatic individuals with Brugada syndrome: A systematic review

2017 ◽  
Vol 40 (12) ◽  
pp. 1332-1345 ◽  
Author(s):  
Konstantinos P. Letsas ◽  
Dimitrios Asvestas ◽  
Adrian Baranchuk ◽  
Tong Liu ◽  
Stamatis Georgopoulos ◽  
...  
Keyword(s):  
Systematic Review ◽  
Risk Stratification ◽  
Brugada Syndrome ◽  
Asymptomatic Individuals

scholarly journals Association of myocardial fibrosis detected by late gadolinium-enhanced MRI with clinical outcomes in patients with diabetes: a systematic review and meta-analysis

BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e055374
Author(s):  
Zhi Yang ◽  
Rong Xu ◽  
Jia-rong Wang ◽  
Hua-yan Xu ◽  
Hang Fu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Risk Stratification ◽  
Myocardial Fibrosis ◽  
Meta Analysis ◽  
Imaging Biomarker ◽  
Cardiac Events ◽  
Prognostic Information ◽  
Increased Risk ◽  
Patients With Diabetes

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.

scholarly journals Meta-Analysis of Risk Stratification of SCN5A With Brugada Syndrome: Is SCN5A Always a Marker of Low Risk?

2019 ◽  
Vol 10 ◽  
Author(s):  
Yihan Yang ◽  
Dan Hu ◽  
Frederic Sacher ◽  
Kengo F. Kusano ◽  
Xinye Li ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Brugada Syndrome ◽  
Meta Analysis ◽  
Low Risk

Unnecessary thyroid nodule biopsy rates under four ultrasound risk stratification systems: a systematic review and meta-analysis

2020 ◽  
Author(s):  
Pyeong Hwa Kim ◽  
Chong Hyun Suh ◽  
Jung Hwan Baek ◽  
Sae Rom Chung ◽  
Young Jun Choi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Risk Stratification ◽  
Thyroid Nodule ◽  
Meta Analysis

P5976Prediction of ventricular arrhythmias with mechanical dispersion assessed by strain echocardiography: a systematic review and meta-analysis

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
H Kawakami ◽  
N Nerlekar ◽  
K H Haugaa ◽  
T Edvardsen ◽  
T H Marwick
Keyword(s):  
Systematic Review ◽  
Risk Stratification ◽  
Predictive Value ◽  
Ventricular Arrhythmias ◽  
Speckle Tracking ◽  
Meta Analysis ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Weighted Mean ◽  
Mechanical Dispersion

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.

Risk stratification and prognosis determination using 18F-FDG PET imaging in endometrial cancer patients: A systematic review and meta-analysis

2014 ◽  
Vol 132 (3) ◽  
pp. 669-676 ◽  
Author(s):  
Haleh Ghooshkhanei ◽  
Giorgio Treglia ◽  
Golnaz Sabouri ◽  
Rozita Davoodi ◽  
Ramin Sadeghi
Keyword(s):  
Systematic Review ◽  
Endometrial Cancer ◽  
Risk Stratification ◽  
Cancer Patients ◽  
Pet Imaging ◽  
Fdg Pet ◽  
Meta Analysis ◽  
18F Fdg

scholarly journals The Utility of Drug Challenge Testing in Brugada Syndrome: a Systematic Review and Meta-analysis

Authorea ◽  
2020 ◽  
Author(s):  
Pattara Rattanawong ◽  
Jakrin Kewcharoen ◽  
Chanavuth Kanitsoraphan ◽  
Wasawat Vutthikraivit ◽  
Prapaipan Putthapiban ◽  
...  
Keyword(s):  
Systematic Review ◽  
Brugada Syndrome ◽  
Meta Analysis ◽  
Challenge Testing ◽  
Drug Challenge
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