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Article

Obese, non-eosinophilic asthma: frequent exacerbators in a real-world setting.

The Journal of asthma : official journal of the Association for the Care of Asthma - 1 Nov 2022

Ananth Sachin, Navarra Alessio, Vancheeswaran Rama

Abstract excerpt

OBJECTIVE: In the UK, asthma deaths are at their highest level this century. Increased recognition of at-risk patients is needed. This study phenotyped frequent asthma exacerbators and used machine learning to predict frequent exacerbators. METHODS: Patients admitted to a district general hospital with an asthma exacerbation between 1st March 2018 and 1st March 2020 were included. Patients were organized into two...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 34669527
DOI: 10.1080/02770903.2021.1996598

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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