Risk Prediction Modelling of Adverse COPD and CVD Outcomes in Patients with COPD

Patients with chronic obstructive pulmonary disease (COPD) often experience adverse health outcomes including COPD exacerbations and cardiovascular events. These events impose a significant economic burden on the healthcare system and lead to impairment of patients’ wellbeing. This project aims to develop a clinical prediction model (CPM) to predict the risk of COPD exacerbations and cardiovascular events in the COPD population using a large, multi-country observational cohort dataset. This project is part of the NOVELTY (a NOVEL observational longiTudinal study) investigation involving patients with obstructive lung disease which aims to understand patient characteristics, treatment patterns and disease burden over time and to identify phenotypes and endotypes. This project provides opportunities for early treatment which can reduce the severity and impact of acute COPD or CVD events.

Faculty Supervisor:

Mohsen Sadatsafavi

Student:

Partner:

National University of Singapore

Discipline:

Life Sciences

Sector:

Education

University:

The University of British Columbia

Program: