Management of patients with comorbid asthma and obesity: A large language model evaluation of clinical documentation

Elsevier

Available online 15 October 2025

The Journal of Allergy and Clinical Immunology: In PracticeAuthor links open overlay panel, , , , AbstractBackground

Obesity is a well-known asthma risk factor, and weight loss benefits asthma outcomes. Asthma guidelines recommend weight reduction as part of care; however, provider practices are not known.

Objective

To evaluate if weight management is integrated into routine asthma care for patients with comorbid obesity.

Methods

We analyzed outpatient encounter notes from patients with both asthma and obesity seen by primary care, allergy/immunology, or pulmonary providers at a large health system between January 01, 2020, and September 30, 2023. Notes were extracted from electronic health records for visits with a primary asthma diagnosis. Using GPT-4o, a large language model (LLM), we assessed documentation of: (1) asthma management; (2) obesity management; (3) integration of obesity management into asthma care; (4) specific weight management strategies. Inclusion rates were compared across specialties, and encounter-level predictors were identified. Chart review evaluated GPT-4o’s performance.

Results

Of 17,658 encounters (N=8992 patients), only 12.6% included obesity management as part of asthma care, more frequently in subspecialty (11.0%) than in primary care (1.6%) settings. In adjusted models, male sex, middle age, higher body mass index, higher education, and pulmonology care increased odds of an encounter with obesity management linked to asthma care; oral steroid use decreased the odds. Obesity management strategies differed by specialty, though exercise and general weight counseling was common. GPT-4o demonstrated robust performance.

Conclusion

LLM evaluation of >17,000 encounters demonstrate that, in contrast to guidelines, weight management is infrequently addressed in asthma care. These results highlight actionable opportunities to improve asthma outcomes.

Graphical abstractDownload: Download high-res image (328KB)Download: Download full-size imageKeywords

Artificial intelligence

Clinical documentation

Natural language processing

Obesity management

Severe asthma

Weight loss

AbbreviationsAI

Artificial intelligence

GINA

The Global Initiative for Asthma

GPT

Generative pre-trained transformer

ICD

International classification of diseases

ICS

Inhaled corticosteroids

LABA

Long-acting beta agonist

LAMA

Long-acting muscarinic antagonist

LTRA

Leukotriene receptor antagonist

NLP

Natural language processing

SABA

Short-acting beta agonist

SAMA

Short-acting muscarinic antagonist

© 2025 Published by Elsevier Inc. on behalf of the American Academy of Allergy, Asthma & Immunology

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