A computational phenotype for difficult-to-treat asthma with corticosteroid overuse using electronic health care records.

ABSTRACT:

Background

Patients with difficult-to-treat asthma experience insufficient symptom control despite intensive treatment, leading to overuse of oral corticosteroids (OCSs), which is associated with high patient and economic burden. Many of these remain unnoticed, even by their pulmonologist.

Objective

We sought to create a query, also known as computational phenotype, identifying patients with difficult-to-treat asthma to facilitate their access to treatment optimalization.

Methods

We used electronic health care records from 2 Dutch hospitals: Franciscus and Admiraal de Ruyter Hospital (Adrz) from the year 2023. We included adult patients with at least 1 hospital visit for asthma. The query was built using Structured Query Language code with data from Franciscus and sub

SUBMITTER: Werkman NCC 

PROVIDER: S-EPMC12925309 | biostudies-literature | 2026 May

REPOSITORIES: biostudies-literature