Cluster-Analytic Identification of Clinically Meaningful Subtypes in MCAS: The Relevance of Heat and Cold
21st March 2025
Tinus Häder, Gerhard J Molderings, Frank Klawonn, Rupert Conrad, Martin Mücke, Julia Sellin (2023). This study is the first to perform a cluster analysis of MCAS patients, classifying them into subgroups based on symptoms and triggers, which could help to personalize treatment and improve patient care. The study concludes that there is utility of a cluster analytic approach and the potential of association analysis to improve the understanding of MCAS subtypes and to personalize the therapy.
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