Atrial fibrillation (AF) is the commonest heart rhythm disorder, and confers a substantial risk of mortality and morbidity from stroke and cardiovascular disorders. Prior assessments of AF risk have focused on baseline risk factors as predictors of outcomes - in this project, we propose a programme of work that investigates the dynamic nature of risk factor profiles and changing risk trajectories in AF, as well as the impact of integrated care management of AF.
This funded PhD studentship will use the large CPRD database which contains records of patient contacts with linked data from primary care (general practitioners), secondary care (hospital admissions: inpatient, outpatient and A&E admissions) as well as additional data on mortality and deprivation.
There is an opportunity to join an AF research team that is globally recognised for AF research [http://bit.ly/2wJswe4]. There may be opportunity to collaborate with other nationwide ‘big data’ cohorts from Denmark and Taiwan.
The successfully appointed student would have a background in data science, health informatics, or quantitative epidemiology. Working alongside others utilising these data the student would be encouraged to develop generic scripts which could be used in a number of research projects including their specific project. Familiarity with a statistical software such as R or Stata would be a major advantage as would an ability to learn to program.
The Institute of Ageing and Chronic Disease is fully committed to promoting gender equality in all activities. In recruitment we emphasize the supportive nature of the working environment and the flexible family support that the University provides. The Institute holds a silver Athena SWAN award in recognition of on-going commitment to ensuring that the Athena SWAN principles are embedded in its activities and strategic initiatives.
For informal enquiries please contact:
Open to EU/UK applicants
This would be a funded PhD studentship (EU rates), and is inclusive of stipend.
Chao TF, Lip GYH, Liu CJ, Lin YJ, Chang SL, Lo LW, Hu YF, Tuan TC, Liao JN, Chung FP, Chen TJ, Chen SA. Relationship of Aging and Incident Comorbidities to Stroke Risk in Patients With Atrial Fibrillation. J Am Coll Cardiol. 2018 Jan 16;71(2):122-132.
Nielsen PB, Skjøth F, Overvad TF, Larsen TB, Lip GYH. Female Sex Is a Risk Modifier Rather Than a Risk Factor for Stroke in Atrial Fibrillation: Should We Use a CHA(2)DS(2)-VA Score Rather Than CHA(2)DS(2)-VASc? Circulation. 2018 Feb 20;137(8):832-840.
Lip G, Freedman B, De Caterina R, Potpara TS. Stroke prevention in atrialfibrillation: Past, present and future. Comparing the guidelines and practical decision-making. Thromb Haemost. 2017 Jun 28;117(7):1230-1239.
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