Modeling severe uncontrolled asthma: Transitioning away from health states.

ABSTRACT:

Background

Models developed to date to simulate long-term outcomes of asthma have been criticized for lacking granularity and ignoring disease heterogeneity.

Objective

To propose an alternative approach to modeling asthma and apply it to model long-term outcomes in a population with moderate-to-severe type 2 asthma (patients with raised fractional exhaled nitric oxide or eosinophils) and treated with conventional therapy.

Methods

A discretely integrated condition event (DICE) approach was adopted, simulating individual profiles with asthma over patients' lifetime in terms of exacerbations, asthma-related death, and death unrelated to asthma. The timing of these events is dependent on profile characteristics including lung function, asthma control, exacerbation history

SUBMITTER: Lanitis T 

PROVIDER: S-EPMC11616524 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature