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

The query is an efficient way of identifying patients with difficult-to-treat asthma and OCS overuse.

Authors

Esther Vis
Nikki C.C. Werkman
Yasemin Türk (ORCID: https://orcid.org/0000-0002-7407-9511)
Angelique Egberts (ORCID: https://orcid.org/0000-0002-3133-8907)
Youssra Bais
Erwin C. Vasbinder
Gert-Jan Braunstahl
Toine van Rijthoven

Institutions

Sint Franciscus Gasthuis (NL)
Franciscus Vlietland (NL)
Admiraal De Ruyter Ziekenhuis (NL)

Publication Details

Journal: Journal of Allergy and Clinical Immunology Global
Published: 2026-01-29
DOI: https://doi.org/10.1016/j.jacig.2026.100650
Primary Topic: Asthma and respiratory diseases
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Esther Vis, Nikki C.C. Werkman, Yasemin Türk, Angelique Egberts et al.

Jan 29, 2026

Journal of Allergy and Clinical Immunology Global

Asthma and respiratory diseases

article

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

Esther Vis, Nikki C.C. Werkman, Yasemin Türk, Angelique Egberts, Youssra Bais, Erwin C. Vasbinder, Gert-Jan Braunstahl, Toine van Rijthoven

January 29, 2026article en

Abstract

The query is an efficient way of identifying patients with difficult-to-treat asthma and OCS overuse.

Journal of Allergy and Clinical Immunology GlobalVol. 5(3)

Sint Franciscus Gasthuis (NL), Franciscus Vlietland (NL), Admiraal De Ruyter Ziekenhuis (NL)

Zero hunger

Openalex Percentile: Top 73%

Asthma and respiratory diseases

DOI Open Access PDF OpenAlex

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A computational phenotype for difficult-to-treat asthma with corticosteroid overuse using electronic health care records — Esther Vis, Nikki C.C. Werkman, et al. · Journal of Allergy and Clinical Immunology Global (2026) | TGRS Research Map | TGRS