Prediction Pathway for Severe Asthma Exacerbations: A Bayesian Network Analysis.

ABSTRACT:

Background

Accurate risk prediction of exacerbations is pivotal in severe asthma management. Multiple risk factors are at play, but the pathway of risk prediction remains unclear.

Research question

How do the interplays of clinically relevant predictors lead to severe exacerbations in patients with severe asthma?

Study design and methods

Patients with severe asthma (n = 6,814, aged ≥ 18 years), biologic naive, were identified from the Severe Asthma Registry (2017-2021). Relevant predictors covered demographics, lung function, inflammation biomarkers, health care use, medications, exacerbation history, and comorbidities. A Bayesian network, representing the prediction process of severe exacerbations, was obtained by combining expert knowledge and machine learning algor

SUBMITTER: Yadav CP 

PROVIDER: S-EPMC12405933 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature