Evaluating the risk of incident cardiovascular disease and cardiovascular drug prescribing patterns in patients with liver disease

Date of Approval
Application Number
21_000363
Technical Summary

Cardiovascular diseases (CVDs) contributes to the largest fraction of deaths (~17million globally). There is growing evidence for the association of CVD with type 2 diabetes and obesity and a growing recognition of non-alcoholic fatty liver disease (NAFLD) as a potential risk factor. However, other chronic liver diseases (CLDs) have not received adequate attention and this project aims to understand the extent by which CLDs pose a risk to developing subsequent fatal and non-fatal CVDs. We will investigate risk across demographic groups (age and sex) and across the types of CLD (non-alcoholic fatty liver disease (NAFLD), alcoholic liver disease (ALD), viral hepatitis, fibrosis and cirrhosis). We will employ linked primary care, secondary care and mortality data in England to investigate the incidence rates of CVD in patients with CLD. We will analyse prescribing patterns of CVD medications in these patients. We will perform a large-scale propensity score analysis to match cases (patients undergoing CVD therapy) to controls followed by time-dependent Cox modelling on a mortality (all-cause, cardiovascular, cancer and liver). We will explore adherence to and persistence with CVD drugs in patients with CLD. Our findings may be used to design new screening strategies in CLD patients at risk of CVD conditions and inform treatment strategies in these patients.

Health Outcomes to be Measured

Stable angina; Unstable angina; Coronary disease; Non-fatal myocardial infarction; Stroke not further specified; Heart failure; Peripheral arterial disease; Abdominal aortic aneurysm; Stroke; Arrhythmia/sudden cardiac death; Unheralded coronary death; Atrial fibrillation; Mortality all cause; Cancer related mortality; Liver-related mortality; Cardiovascular mortality

Collaborators

Alvina Lai - Chief Investigator - University College London ( UCL )
Alvina Lai - Corresponding Applicant - University College London ( UCL )
Stefanie Mueller - Collaborator - University College London ( UCL )
Wai Chang - Collaborator - University College London ( UCL )

Linkages

HES Admitted Patient Care;ONS Death Registration Data