Dr Winnie Chua

Dr Winnie Chua

Institute of Cardiovascular Sciences
Senior Research Fellow

Contact details

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 Senior Research Fellow 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

Recent publications

Article

Howe, J, Chua, W, Sumner, E, Drozdowska, B, Laverick, R, Bevins, RL, Jean-baptiste, E, Russell, M, Rotshtein, P & Wing, AM 2022, 'The efficacy of a task model approach to ADL rehabilitation in stroke apraxia and action disorganisation syndrome: a randomised controlled trial', PLOS One, vol. 17, no. 3, pp. e0264678. https://doi.org/10.1371/journal.pone.0264678

Fabritz, L, Crijns, HJGM, Guasch, E, Goette, A, Hausler, K, Kotecha, D, Lewalter, T, Meyer, CG, Potpara, TS, Rienstra, M, B Schnabel, R, Willems, S, Breithardt, G, Camm, AJ, Chan, A, Chua, WWL, De Melis, M, Dimopoulou, C, Dobrev, D, Easter, C, Eckardt, L, Haase, D, Hatem, S, Healey, JS, Heijman, J, Hohnloser, SH, Huebner, T, Saeed Ilyas, B, Isaacs, A, Kutschka, I, Leclercq, C, Lip, GYH, Marinelli, EA, Merino, JL, Mont, L, Nabauer, M, Oldgren, J, Pürerfellner, H, Ravens, U, Savelieva, I, Sinner, MF, Sitch, A, Smolnik, R, Steffel, J, Stein, K, Stoll, M, Svennberg, E, Thomas, D, Van Gelder, IC, Vardar, B, Wakili, R, Wieloch, M, Zeemering, S, Ziegler, P, Heidbuchel, H, Hindricks, G, Schotten, U & Kirchhof, P 2021, 'Dynamic risk assessment to improve quality of care in patients with atrial fibrillation: the 7th AFNET/EHRA Consensus Conference', EP Europace, vol. 23, no. 3, pp. 329–344. https://doi.org/10.1093/europace/euaa279

Chua, W, Law, JP, Cardoso, VR, Purmah, Y, Neculau, G, Jawad-Ul-Qamar, M, Russell, K, Turner, A, Tull, SP, Nehaj, F, Brady, P, Kastner, P, Ziegler, A, Gkoutos, GV, Pavlovic, D, Ferro, CJ, Kirchhof, P & Fabritz, L 2021, 'Quantification of fibroblast growth factor 23 and N-terminal pro-B-type natriuretic peptide to identify patients with atrial fibrillation using a high-throughput platform: a validation study', PLoS Medicine, vol. 18, no. 2, e1003405. https://doi.org/10.1371/journal.pmed.1003405

Peeters, F, Dudink, EAMP, Weijs, B, Fabritz, L, Chua, WWL, Kietselaer, BL, Wildberger, J, Meex, S, Kirchhof, P, Crijns, HJGM & Schurgers, L 2020, 'Biomarkers associated with aortic valve calcification: should we focus on sex specific processes?', Frontiers in cell and developmental biology, vol. 8, 604. https://doi.org/10.3389/fcell.2020.00604

Law, JP, Price, AM, Pickup, L, Radhakrishnan, A, Weston, C, Jones, AM, McGettrick, HM, Chua, W, Steeds, RP, Fabritz, L, Kirchhof, P, Pavlovic, D, Townend, JN & Ferro, CJ 2020, 'Clinical potential of targeting fibroblast growth factor‐23 and αKlotho in the treatment of uremic cardiomyopathy', Journal of the American Heart Association, vol. 9, no. 7, e016041. https://doi.org/10.1161/JAHA.120.016041

Jawad-Ul-Qamar, M, Chua, WWL, Purmah, Y, Nawaz, M, Varma, C, Davis, R, Maher, A, Fabritz, L & Kirchhof, P 2020, 'Detection of unknown atrial fibrillation by prolonged ECG monitoring in an all-comer patient cohort and association with clinical and Holter variables', Open Heart, vol. 7, no. 1, e001151. https://doi.org/10.1136/openhrt-2019-001151

Dretzke, J, Chuchu, N, Agarwal, R, Herd, C, Chua, WWL, Fabritz, L, Bayliss, S, Kotecha, D, Deeks, J, Kirchhof, P & Takwoingi, Y 2020, 'Predicting recurrent atrial fibrillation after catheter ablation: a systematic review of prognostic models', Europace, vol. 22, no. 5, pp. 748–760. https://doi.org/10.1093/europace/euaa041

Zink, MD, Chua, WWL, Zeemering, S, Di Biase, L, Luna Antoni, BD, Callans, D, Hindricks, G, Haeusler, KG, Al-Khalidi, HR, Piccini, J, Mont, L, Nielsen, JC, Escobar, LA, De Bono, J, Van Gelder, IC, De Potter, T, Scherr, D, Sakis, T, Todd, D, Kirchhof, P & Schotten, U 2020, 'Predictors of recurrence of atrial fibrillation within the first 3months after ablation', European Society of Cardiology, vol. 22, no. 9, pp. 1337-1344. https://doi.org/10.1093/europace/euaa132

Reyat, JS, Chua, W, Cardoso, VR, Witten, A, Kastner, PM, Kabir, SN, Sinner, MF, Wesselink, R, Holmes, AP, Pavlovic, D, Stoll, M, Kääb, S, Gkoutos, GV, de Groot, JR, Kirchhof, P & Fabritz, L 2020, 'Reduced left atrial cardiomyocyte PITX2 and elevated circulating BMP10 predict atrial fibrillation after ablation', JCI Insight, vol. 5, no. 16, e139179. https://doi.org/10.1172/jci.insight.139179

Kloosterman, M, Chua, WWL, Fabritz, L, Al-Khalidi, HR, Schotten, U, Nielsen, JC, Piccini, , JP, Di Biase, L, Häusler, KG, Todd, D, Mont, L, Van Gelder, IC & Kirchhof, P 2020, 'Sex differences in catheter ablation of atrial fibrillation: results from AXAFA-AFNET 5', Europace. https://doi.org/10.1093/europace/euaa015

Chua, WL, Purmah, Y, Roth Cardoso, V, Gkoutos, G, Tull, S, Neculau, G, Thomas, MR, Kotecha, D, Lip, G, Kirchhof, P & Fabritz, L 2019, 'Data-driven discovery and validation of circulating blood-based biomarkers associated with prevalent atrial fibrillation.', European Heart Journal, vol. 40, no. 16, pp. 1268-1276. https://doi.org/10.1093/eurheartj/ehy815

Chua, WWL, Easter, C, Guasch, E, Sitch, A, Casadei, B, Crijns, HJGM, Haase, D, Hatem, S, Kääb, S, Mont, L, Schotten, U, Sinner, MF, Hemming, K, Deeks, J, 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 Cardiovascular Disorders, vol. 19, no. 1, 120. https://doi.org/10.1186/s12872-019-1105-4

Editorial

Chua, WWL 2021, 'Clearing the cognitive cloud: direct oral anticoagulants or vitamin K antagonists for reducing dementia risk in patients with atrial fibrillation?', Heart. https://doi.org/10.1136/heartjnl-2021-320138

Chua, WWL & Fabritz, L 2021, 'Heart failure in patients with atrial fibrillation: why it matters now more than ever', Heart. https://doi.org/10.1136/heartjnl-2021-319145

Review article

Al-Arkee, S, Mason, J, Lane, D, Fabritz, L, Chua, WWL, Haque, S & Jalal, Z 2021, 'Mobile apps to improve medication adherence in cardiovascular disease: systematic review and meta-analysis', Journal of Medical Internet Research, vol. 23, no. 5, e24190. https://doi.org/10.2196/24190

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