Assessing real-world natural history of indolent systemic mastocytosis: A retrospective matched cohort study

Background: Indolent systemic mastocytosis (ISM) is the most common form of systemic mastocytosis, accounting for more than 80% of cases. Patients with ISM experience severe, unpredictable symptoms, including potentially life-threatening anaphylaxis. As a chronic condition, understanding its longitudinal natural history is essential. Objective: We sought to evaluate the real-world disease burden and describe the natural history of ISM by comparing patients treated at Mayo Clinic to a matched control cohort. Innovative natural language processing methods were used alongside traditional structured data analysis. Methods: A retrospective cohort study was conducted using data from patients diagnosed with ISM at Mayo Clinic between January 1, 2005, and June 30, 2022. Patients were identified using structured electronic health record data and natural language processing of clinical notes. A control cohort was created using 10:1 propensity matching based on demographic and clinical variables. Baseline characteristics, symptoms, clinical outcomes, and health care utilization were assessed. Results: < .0001). Patients with ISM had higher health care utilization and medication use. Conclusions: Patients with ISM experience a high burden of heterogeneous symptoms and elevated rates of bone disease. These findings support the consideration of disease-modifying therapies in ISM management.

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Publication Details

Journal
Journal of Allergy and Clinical Immunology Global
Published
2026-04-14
DOI
https://doi.org/10.1016/j.jacig.2026.100701
Primary Topic
Mast cells and histamine
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing real-world natural history of indolent systemic mastocytosis: A retrospective matched cohort study

Dakota Powell, Robyn M. Scherber, Prerna Singh, Allison R. Smither et al.
Journal of Allergy and Clinical Immunology Global
Mast cells and histamine
article

Assessing real-world natural history of indolent systemic mastocytosis: A retrospective matched cohort study

Dakota Powell, Robyn M. Scherber, Prerna Singh, Allison R. Smither, Steve Duff, Purushotham Krishnappa, Taylor Weis, Teresa Green, Erin Sullivan, Thanai Pongdee
article en

Abstract

Background: Indolent systemic mastocytosis (ISM) is the most common form of systemic mastocytosis, accounting for more than 80% of cases. Patients with ISM experience severe, unpredictable symptoms, including potentially life-threatening anaphylaxis. As a chronic condition, understanding its longitudinal natural history is essential. Objective: We sought to evaluate the real-world disease burden and describe the natural history of ISM by comparing patients treated at Mayo Clinic to a matched control cohort. Innovative natural language processing methods were used alongside traditional structured data analysis. Methods: A retrospective cohort study was conducted using data from patients diagnosed with ISM at Mayo Clinic between January 1, 2005, and June 30, 2022. Patients were identified using structured electronic health record data and natural language processing of clinical notes. A control cohort was created using 10:1 propensity matching based on demographic and clinical variables. Baseline characteristics, symptoms, clinical outcomes, and health care utilization were assessed. Results: < .0001). Patients with ISM had higher health care utilization and medication use. Conclusions: Patients with ISM experience a high burden of heterogeneous symptoms and elevated rates of bone disease. These findings support the consideration of disease-modifying therapies in ISM management.

Journal of Allergy and Clinical Immunology GlobalVol. 5(4)
Mayo Clinic (US), The University of Texas at San Antonio Health Science Center (US), Bureau Veritas (France) (FR), Blueprint Medicines (United States) (US), Nference (India) (IN), Nference (United States) (US), The University of Texas at San Antonio (US)
Zero hunger
Openalex Percentile: Top 29%
Mast cells and histamine
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