Prediction Models for Individual-Level Healthcare Costs Associated with Cardiovascular Events in the UK.

ABSTRACT:

Objectives

The aim of this study was to develop prediction models for the individual-level impacts of cardiovascular events on UK healthcare costs.

Methods

In the UK Biobank, people 40-70 years old, recruited in 2006-2010, were followed in linked primary (N = 192,983 individuals) and hospital care (N = 501,807 individuals) datasets. Regression models of annual primary and annual hospital care costs (2020 UK£) associated with individual characteristics and experiences of myocardial infarction (MI), stroke, coronary revascularization, incident diabetes mellitus and cancer, and vascular and nonvascular death are reported.

Results

For both people without and with previous cardiovascular disease (CVD), primary care costs were modelled using one-part generalised linear mode

SUBMITTER: Zhou J 

PROVIDER: S-EPMC10085892 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature