Biography
Lisa initially studied Physiology at the University of Leeds before obtaining an MSc in Medical Statistics from Lancaster University and beginning her research career in the CEU in 2005 where she also completed her PhD in 2011.
Research
The focus of Lisa’s research is cardiovascular disease risk prediction. Her primary interest is in harnessing latest understanding regarding CVD risk predictors, as well as risk modelling approaches and screening strategies, to improve risk estimation and prevention of disease. In recent years, Lisa has served on expert panels/working groups for the World Health Organisation and European Society of Cardiology, concentrating research on providing and recalibrating CVD risk scores for use across multiple countries based on CEU data and methodological approaches.
Publications
Eric Harshfield*, Lisa Pennells*, Joseph Schwartz* et al. Association of depressive symptoms with cardiovascular diseases and cause-specific mortality: individual-participant meta-analysis of 21 prospective studies. In press at JAMA.
Zhe Xu, Matthew Arnold, David Stevens, Stephen Kaptoge, Lisa Pennells et al. Prediction of cardiovascular disease risk accounting for future initiation of statin treatment. In press at AJE
Sergi Trias-Llimós, Lisa Pennells et al. Quantifying the contribution of established risk factors to cardiovascular mortality differences between countries: the example of Russia compared to Norway Sci Rep. 2020:10(1)
Gregson J, Kaptoge S, Bolton T, Pennells L et al. Cardiovascular Risk Factors Associated With Venous Thromboembolism. JAMA Cardiology. 2019: 1; 4(2)
Luanluan Sun*, Lisa Pennells*, Stephen Kaptoge* et al. Adding polygenic risk scores to conventional risk factors in cardiovascular disease prediction. Under review at PLoS Medicine.
Stephen Kaptoge*, Lisa Pennells*, Dirk De Bacquer*, Marie Therese Cooney* et al. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. Lancet Global Health. 2019: 7(10)
Pennells L*, Kaptoge S*, Wood A et al. Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies. Eur Heart J. 2019; 40(7)
Paige E, Barrett J, Pennells L et al. Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis. American Journal of Epidemiology. 2017: 15
Willeit P, Kaptoge S, Welsh P, Butterworth AS, Chowdhury R, Spackman SA, Pennells L et al. Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis. Lancet Diabetes Endocrinol. 2016: 4
Pennells L, Kaptoge S, White IR, Thompson SG, Wood AM. Assessing risk prediction models using individual participant data from multiple studies. Am J Epidemiol 2014 March 1;179(5):621-32.
Sanderson J, Thompson SG, White IR, Aspelund T, Pennells L. Derivation and assessment of risk prediction models using case-cohort data. BMC Med Res Methodol 2013;13:113.
Kaptoge S, Di AE, Pennells L et al. C-reactive protein, fibrinogen, and cardiovascular disease prediction. N Engl J Med 2012 October 4;367(14):1310-20.
Di AE, Gao P, Pennells L et al. Lipid-related markers and cardiovascular disease prediction. JAMA 2012 June 20;307(23):2499-506.
Pennells L, White IR, Wood AM et al. Measures to assess the prognostic ability of the stratified Cox proportional hazards model. Stat Med. 2009;28:389-411.