Dr Katrina Poppe
BAppSci MSc(Hons) PhD COPSCT FESC
My background is in clinical cardiac physiology and in medical statistics, and my research bridges cardiovascular medicine, advanced clinical technology, data science, applied statistics and epidemiology, with applications ranging from public health to advanced cardiology. There is enormous potential for further development of this combined approach to cardiovascular research.
Research | Current
Everyone is at risk of cardiovascular (CV) or other chronic diseases. Improved detection of disease and/or improved accuracy of predicting the risk of future clinical events will lead to improved management and risk reduction for individuals and populations. The new era of “big data” has provided a significant opportunity to develop more personalised approaches to the continuum of chronic disease and risk management, i.e. where healthcare decisions, practices and interventions are tailored to individuals based on their predicted risk of disease.
Risk prediction for CVD is well established in New Zealand. However the type of risk and people that risk prediction is being used for has remained largely unchanged for the last 40 years. Expanding prediction to address the life-course of risk is long overdue, as is the progression and development of analytical techniques to deal with the data and clinical environments in which we now live. Equivalent with Vision Mātauranga, “to think about new ways of doing things, to find answers, to solve problems”, we need to think about new ways of developing risk algorithms to guide management of a person’s health and disease, and to do that in a way that accommodates an individual’s situation and needs. This is quite different from what the established techniques and thinking allow us to do.
My research is a combination of methodological and clinical studies to optimise and personalise CV disease risk prediction and management in the New Zealand healthcare environment. I aim to expand the methodologies and analytics of prognosis research, which is a central discipline of the rapidly developing field of personalised (or precision) medicine and has practical healthcare implications.
Teaching | Current
HLTHINFO 725: Navigating the Health Data Landscape
PhD in Population Health
PhD in Medicine
PhD in Population Health
2019: Early Career Research Excellence Award, University of Auckland
2018: Fellow of the European Society of Cardiology
2018-2020: Heart Foundation Hynds Senior Fellow
2011-14: Heart Foundation Post-Doctoral Research Fellow
2011: Nominated for Vice-Chancellor's Prize for the Best Doctoral Thesis
2007-10: Heart Foundation Postgraduate Scholar
Director of the VIEW Data Ecosystem and analytical practice
Director MENZACS Data Science Advisory Group
Areas of expertise
Prognosis research, particularly the development of risk scores.
Making sense of multiple large datasets that need to be combined and analysed
Clinical cardiac physiology and technology
Selected publications and creative works (Research Outputs)
- Poppe, K. K., Doughty, R. N., Wells, S., Wu, B., Earle, N. J., Richards, A. M., ... Kerr, A. J. (2020). Development and validation of a cardiovascular risk score for patients in the community after acute coronary syndrome. Heart (British Cardiac Society), 106 (7), 506-511. 10.1136/heartjnl-2019-315809
Other University of Auckland co-authors: Rod Jackson, Susan Wells, Nikki Earle, Rob Doughty
- Stevens, R. J., & Poppe, K. K. (2020). Validation of clinical prediction models: what does the "calibration slope" really measure?. Journal of clinical epidemiology, 118, 93-99. 10.1016/j.jclinepi.2019.09.016
- WHO CVD Risk Chart Working Group (2019). World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. The Lancet. Global health, 7 (10), e1332-e1345. 10.1016/s2214-109x(19)30318-3
Other University of Auckland co-authors: Rod Jackson, Shanthi Ameratunga
- Selak, V., Jackson, R., Poppe, K., Wu, B., Harwood, M., Grey, C., ... Kerr, A. (2019). Personalized Prediction of Cardiovascular Benefits and Bleeding Harms From Aspirin for Primary Prevention: A Benefit-Harm Analysis. Annals of internal medicine10.7326/m19-1132
Other University of Auckland co-authors: Rod Jackson, Vanessa Selak, Matire Harwood, Suneela Mehta, Susan Wells, Yeunhyang Choi
- Selak, V., Kerr, A., Poppe, K., Wu, B., Harwood, M., Grey, C., ... Wells, S. (2018). Annual Risk of Major Bleeding Among Persons Without Cardiovascular Disease Not Receiving Antiplatelet Therapy. JAMA, 319 (24), 2507-2520. 10.1001/jama.2018.8194
Other University of Auckland co-authors: Matire Harwood, Vanessa Selak, Susan Wells, Rod Jackson, Corina Grey
- Pylypchuk, R., Wells, S., Kerr, A., Poppe, K., Riddell, T., Harwood, M., ... Wu, B. P. (2018). Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study. Lancet (London, England), 391 (10133), 1897-1907. 10.1016/s0140-6736(18)30664-0
Other University of Auckland co-authors: Matire Harwood, Romana Pylypchuk, Daniel Exeter, Jeff Harrison, Roger Marshall, Rod Jackson, Patricia Metcalf, Suneela Mehta, Corina Grey, Susan Wells, Jim Warren
- Poppe, K. K., Doughty, R. N., Harwood, M., Barber, P. A., Harrison, J., Jackson, R., & Wells, S. (2018). Identification, risk assessment, and management of patients with atrial fibrillation in a large primary care cohort. International journal of cardiology, 254, 119-124. 10.1016/j.ijcard.2017.11.045
Other University of Auckland co-authors: Alan Barber, Rob Doughty, Matire Harwood, Jeff Harrison, Rod Jackson, Susan Wells
- Rolleston, A., Doughty, R. N., & Poppe, K. (2017). The effect of a 12-week exercise and lifestyle management programme on cardiac risk reduction: A pilot using a kaupapa Māori philosophy. International Journal of Indigenous Health, 12 (1), 116-130. 10.18357/ijih121201716905
Other University of Auckland co-authors: Rob Doughty