Cardiovascular Analytics Group - CVAG
Contact information, map and directions, contact form, opening hours, services, ratings, photos, videos and announcements from Cardiovascular Analytics Group - CVAG, Medical and health, .
This research group was established in 2015, with the aim of providing an open platform to promote collaborative research across different institutions globally.
Congratulations to team members and collaborators for making the Stanford Top 2% Scientists (2023) for the Cardiovascular System subfield for single year and/or career long citations.
We have conducted a review of our publications published between 2021 and 2022 at the Cardiovascular Analytics Group, and would like to congratulate the following team members for publishing high impact research, with a total of 8 publications with impact factor >10, and 19 publications with impact factor >5.
Drs Ishan Lakhani Jiandong Zhou et al. used automated ECGs to predict new onset cardiac arrhythmias, heart failure and mortality in patients with pericarditis
https://doi.org/10.1093/eurheartj/ehab849.111
Drs Jeffrey Chan and Jiandong Zhou applied clustering analysis from automated ECGs for prognostication in Asian patients with heart failure
http://dx.doi.org/10.1093/eurheartj/ehab849.044
Drs Jeffrey Chan Emma King Yuki Shum Leonardo Roever Kenrick Ng Edward Christopher Dee Elham Mahmoudi Giorgos Bazoukis Kamalan Jeevaratnam Gary Tse describe our experience in providing research mentorship on virtual platforms. Presented at ESC Asia Congress and published in the European Heart Journal. From the Medical Education Unit of the Cardiovascular Analytics Group
https://doi.org/10.1093/eurheartj/ehab849.179
Together with investigators from China, UK, Greece and Germany, our team used a generalised additive model with pair-wise interactions to predict arrhythmic outcomes in Brugada syndrome patients, published in IEEE Xplore and presented in the Computing in Cardiology Conference 2021
https://ieeexplore.ieee.org/document/9662913/authors
Our Medical Education Unit shares the experiences learned from our mentorship programme and discusses the effects it has on gender equity and leadership development
The Women’s Leadership Gap in Diabetes: A Call for Equity and Excellence. Diabetes 2021;70:1623–1633 | Diabetes | American Diabetes Association
https://diabetesjournals.org/diabetes/article/71/1/e1/139021/
The Women’s Leadership Gap in Diabetes: A Call for Equity and Excellence. Diabetes 2021;70:1623–1633 | Diabetes | American Diabetes Association Recently, a series of articles on women’s leadership in diabetes, which reflects the gender disparity in academic medicine, was published in Diabetes (1–3), cen
For our annual training day joined by team members from Asia, Middle East, South America and Europe, Drs Jeffrey Chan and Gary Tse from China/UK shared their experiences on conducting systematic reviews and meta-analyses and observational cohort studies
In a propensity score-matched, population-based cohort study, our Cardiovascular Pharmacology Unit recently discovered that edoxaban use was associated with lower risks of hip fractures compared to warfarin use
Hip fractures risks in edoxaban versus warfarin users: a propensity score-matched population-based cohort study with competing risk analyses The three direct oral anticoagulants (DOAC), rivaroxaban, apixaban and dabigatran have been associated with lower risks of fractures compared to warfa…
Our team brought together researchers and clinicians from all over the world to analyse the clinical characteristics, genetics and outcomes of patients with catecholaminergic polymorphic ventricular tachycardia from China. It represents one of the largest cohorts from Asia with 56 patients (for a rare disease).
https://t.co/gAUdbQVFaS
Clinical Characteristics, Genetic Findings and Arrhythmic Outcomes of Patients with Catecholaminergic Polymorphic Ventricular Tachycardia from China Introduction: Catecholaminergic polymorphic ventricular tachycardia (CPVT) is a rare cardiac ion channelopathy. The aim of this study is to examine the genetic basis and identify predictive factors for arrhythmic outcomes of CPVT patients from China. Methods: PubMed and MedRxiv were systematically s...
Drs Bimal Gurung, Gary Tse and Profs Wendy Keung, Ronald Li and Jack Wong use stem cell derived cardiomyocytes for disease modeling, looking at the basic electrophysiological mechanisms of arrhythmogenesis in hypokalaemia modeling acquired long QT syndrome
https://doi.org/10.3389/fcell.2021.681665
Congratulations to Dr Sharen Lee for being awarded first prize of the Young Investigator Award at the European Society of Cardiology Asia Congress 2021. Well done Sharen!
Sharen conducted one of the largest cohort studies comparing cardiovascular risk between PD-1 inhibitor and PD-L1 inhibitor in cancer patients.
Dr Jeffrey Chan presents our work on the use of visit-to-visit variability in cholesterol levels to predict incident heart failure using our family medicine cohort
Dr Gary Tse meets with the Hellenic College of Cardiology on the topic of Brugada syndrome risk stratification.
Video:
https://youtu.be/pJ_JzELIZhI
Dr Gary Tse talks at the 13th Asian Conference on Pharmacoepidemiology (ACPE 2021) on the protective effects of statins in COVID-19
Video of the lecture can be accessed here:
https://youtu.be/9gCVWtc1PrI
Dr Gary Tse presents to the Hospital Authority of Hong Kong on the genetic basis of cardiac ion channelopathies in the region.
Dr Gary Tse discusses the team's work on risk stratification and management in Brugada syndrome at the Asia Pacific Society of Cardiology (APSC) Congress 2021.
A recording of Dr Tse's presentation can be accessed here: https://youtu.be/Ym8QcHUaunc
Dr Sharen Lee presents our multi-national study on Brugada syndrome involving China, Germany and Greece at Computing in Cardiology Conference 2021. This utilises generalised additive model with pairwise interactions to enhance risk prediction. Giorgos Bazoukis Konstantinos Letsas Christien Li Jia Hao Gary Tse
Dr Ishan Lakhani talks about our multi-centre study on risk stratification in ARVC/D at the ESC Congress 2021.
More at the EHJ: https://doi.org/10.1093/eurheartj/ehab724.0626
Dr ChengSheng Ju from the University College London's School of Pharmacy presents our work on the development of an electronic frailty index to predict short-term mortality in heart failure using machine learning at the ESC Congress 2021.
Gary Tse Sharen Lee Kamalan Jeevaratnam
More details from the EHJ: http://dx.doi.org/10.1093/eurheartj/ehab724.1008
Dr Sharen Lee presents the team's work on a multi-centre study on congenital long QT syndrome and catecholaminergic polymorphic ventricular tachycardia at ESC Congress 2021.
Gary Tse Kamalan Jeevaratnam Jack Wong
The abstract is available at the European Heart Journal here: https://doi.org/10.1093/eurheartj/ehab724.1870