Dr Winnie Chua

Dr Winnie Chua

Institute of Cardiovascular Sciences
Post-Doctoral Researcher

Contact details

Telephone
+44 (0)121 414 6902 / 6938
Email
w.chua.1@bham.ac.uk
View my research portal
Address
Institute of Cardiovascular Sciences
1st Floor, Institute of Biomedical Research
College of Medical and Dental Sciences
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Chua is a Post-Doctoral Researcher at the Institute of Cardiovascular Sciences. She engages in research identifying factors which contribute to atrial fibrillation and is interested in translating these outcomes to impact patient care. Her work involves UK and European collaborators in Germany, Spain, Netherlands, and France.

Dr Chua is also a collaborator on the Machine Learning and Artificial Intelligence (AI) for Early Detection of Stroke and Atrial Fibrillation (MAESTRIA) project. This is a major international research programme which will develop a precise method to diagnose atrial cardiomyopathy, thereby providing clinicians with individualised clinical patient data to predict a patient's likelihood of suffering from subclinical AF, their future risk of AF and their overall risk of ischemic stroke with an accuracy that surpasses any currently available instrument.

Qualifications

  • Post-Doctoral Researcher
  • PhD in Psychology, University of Birmingham (2015)
  • B.A. in Psychology (Hons), Malaysia (2008)

Biography

Dr Chua completed her doctoral studies under Professor Alan M. Wing at the School of Psychology, College of Life and Environmental Sciences where she studied cognitive mechanisms of movement and timing control in health persons and stroke patients.

Dr Chua currently works in the Translational Research on Heart Failure and Arrhythmia group at the Institute of Cardiovascular Sciences, led by Professor Paulus Kirchhof and Professor Larissa Fabritz. Her main interest is on using statistical and computational modelling on heterogenous data to identify patterns of clinical and mechanism-based factors which contribute to incident and recurrent atrial fibrillation.

She is also involved in the development and application of mobile apps to facilitate healthcare professional and patient communication, encouraging patient empowerment and joint-decision making in healthcare settings.

She is keen to better understand the association of atrial fibrillation and cognitive decline to identify the potential mechanisms of these associations which would inform strategies of atrial fibrillation management and prevent adverse cognitive outcomes in patients with atrial fibrillation.

Dr Chua is actively engaged in the CATCH ME Consortium (H2020 EU Framework) and the BigData@Heart Consortium (EU/EFPIA Innovative Medicines Initiative 2).

In this video Winnie along with Professor Jon Deeks discuss their collaboration to discover and evaluate biomarkers associated with Atrial Fibrillation.

Postgraduate supervision

Dr Chua currently works with a PhD researcher to develop machine learning strategies of visualising and analysing clinical datasets.

Research

Research aims:

  • Personalise prevention and management of care in patients with atrial fibrillation
  • Development and validation of prognostic models in atrial fibrillation
  • Individual Patient Data (IPD) analyses of combined datasets
  • Big data and machine learning techniques for cardiovascular data
  • Development of mobile apps for guideline adherent therapy and patient engagement
  • Association of atrial fibrillation and cognitive impairment

Other activities

Publications

Dretzke J, Chuchu N, Chua W, Fabritz L, Bayliss S, Kotecha D, Deeks JJ, Kirchhof P, Takwoingi Y (2019) Prognostic models for predicting incident or recurrent atrial fibrillation: protocol for a systematic review. Syst Rev. 2019 Aug 28;8(1):221. doi: 10.1186/s13643-019-1128-z.

Chua W, Easter CL, Guasch E, Sitch A, Casadei B, Crijns HJGM, Haase D, Hatem S, Kääb S, Mont L, Schotten U, Sinner MF, Hemming K, Deeks JJ, Kirchhof P, Fabritz L (2019) Development and external validation of predictive models for prevalent and recurrent atrial fibrillation: a protocol for the analysis of the CATCH ME combined dataset. BMC Cardiovasc Disord. 19(1):120. doi: 10.1186/s12872-019-1105-4.

Chua W, Purmah Y, Cardoso VR, Gkoutos GV, Tull SP, Neculau G, Thomas MR, Kotecha D, Lip GYH, Kirchhof P, Fabritz L (2019) Data-driven discovery and validation of circulating blood-based biomarkers associated with prevalent atrial fibrillation. Eur Heart J. 40(16):1268-1276. doi: 10.1093/eurheartj/ehy815.

Dudink EA, Weijs B, Tull S, Luermans JG, Fabritz L, Chua W, Rienstra M, Gelder ICV, Schotten U, Kirchhof P, Crijns HJ (2018) The Biomarkers NT-proBNP and CA-125 are Elevated in Patients with Idiopathic Atrial Fibrillation. J Atr Fibrillation. 11(4):2058. doi: 10.4022/jafib.2058. eCollection 2018 Dec.

Kotecha D, Breithardt G, Camm AJ, Lip GYH, Schotten U, Ahlsson A, Arnar D, Atar D, Auricchio A, Bax J, Benussi S, Blomstrom-Lundqvist C, Borggrefe M, Boriani G, Brandes A, Calkins H, Casadei B, Castellá M, Chua W, Crijns H, Dobrev D, Fabritz L, Feuring M, Freedman B, Gerth A, Goette A, Guasch E, Haase D, Hatem S, Haeusler KG, Heidbuchel H, Hendriks J, Hunter C, Kääb S, Kespohl S, Landmesser U, Lane D, Lewalter T, Mont L, Nabauer M, Nielsen JC, Oeff M, Oldgren J, Oto A, Pison L, Potpara T, Ravens U, Richard-Lordereau I, Rienstra M, Savelieva I, Schnabel R, Sinner MF, Sommer P, Themistoclakis S, Van Gelder IC, Vardas P, Verma A, Wakili R, Weber E, Werring D, Willems S, Ziegler A, Hindricks G, Kirchhof P (2018) Integrating new approaches to atrial fibrillation management: the 6th AFNET/EHRA Consensus Conference. Europace. 20(3):395-407. doi: 10.1093/europace/eux318

Kotecha D, Chua W, Fabritz L, Hendriks J, Casadei B, Schotten U, Vardas P, Heidbuchel H, Dean V and Kirchhof P (2017). European Society of Cardiology (ESC) smartphone and tablet applications for patients with atrial fibrillation and their healthcare providers. Europace. 2018 Feb 1;20(2):225-233. doi: 10.1093/europace/eux299.

Elliot MT, Chua WL, Wing AM (2016) Modelling single-person and multi-person event-based synchronisation Science Direct, https://doi.org/10.1016/j.cobeha.2016.01.015

Fabritz L, Guasch E, Antoniades C, Bardinet I, Benninger G, Betts TR … Kirchhof, P (2015). Defining the major health modifiers causing atrial fibrillation: A roadmap to underpin personalized prevention and treatment. Nature Reviews Cardiology, 13, pp. 230-237

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