Cluster Analysis Identifies Patients With Severe Eosinophilic Asthma Who Achieve Super-Response and Remission With Mepolizumab

Danilo Di Bona; Massimo Bilancia; Claudia Crimi; Michelina Daddato; Alida Benfante; Maria Filomena Caiaffa; Cecilia Calabrese; Raffaele Campisi; Santi Nolasco; Giovanna Elisiana Carpagnano; Maria D'Amato; Corrado Pelaia; Girolamo Pelaia; Angelantonio Maglio; Nicola Scichilone; Giulia Scioscia; Giuseppe Spadaro; Massimo Triggiani; Isabella Carrieri; Giuseppe Valenti; Alessandro Vatrella; Luigi Macchia; Nunzio Crimi

doi:10.1111/cea.14584

Cluster Analysis Identifies Patients With Severe Eosinophilic Asthma Who Achieve Super-Response and Remission With Mepolizumab

Clin Exp Allergy. 2025 Feb;55(2):202-204. doi: 10.1111/cea.14584. Epub 2024 Oct 10.

Authors

Danilo Di Bona¹, Massimo Bilancia², Claudia Crimi³, Michelina Daddato², Alida Benfante⁴, Maria Filomena Caiaffa⁵, Cecilia Calabrese⁶, Raffaele Campisi³, Santi Nolasco³, Giovanna Elisiana Carpagnano⁷, Maria D'Amato⁸, Corrado Pelaia⁹, Girolamo Pelaia¹⁰, Angelantonio Maglio¹¹, Nicola Scichilone⁴, Giulia Scioscia¹², Giuseppe Spadaro¹³, Massimo Triggiani¹⁴, Isabella Carrieri⁸, Giuseppe Valenti¹⁵, Alessandro Vatrella⁸, Luigi Macchia², Nunzio Crimi³

Affiliations

¹ Department of Medical and Surgical Sciences (DSMC), University of Foggia, Foggia, Italy.
² Unit of Statistics, Department of Precision and Regenerative Medicine and Jonian Area (DiMePRe-J), University of Bari Aldo Moro, Bari, Italy.
³ Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
⁴ Department of Biomedicine and Internal and Specialistic Medicine, University of Palermo, Palermo, Italy.
⁵ Allergology and Clinical Immunology Unit, University of Foggia, Foggia, Italy.
⁶ Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy.
⁷ Department of Basic Medical Sciences, Neuroscience and Sense Organs, Section of Respiratory Disease, University "Aldo Moro" of Bari, Bari, Italy.
⁸ Division of Pneumology, "V. Monaldi" University Hospital, Naples, Italy.
⁹ Department of Medical and Surgical Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy.
¹⁰ Department of Health Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy.
¹¹ Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy.
¹² Department of Medical and Surgical Sciences, Institute of Respiratory Diseases, University of Foggia, Foggia, Italy.
¹³ Allergology and Immunology Unit, University "Federico II" of Naples, Naples, Italy.
¹⁴ Division of Allergy and Clinical Immunology, University of Salerno, Fisciano, Italy.
¹⁵ Allergology and Pulmonology Unit, Provincial Outpatient Center of Palermo, Palermo, Italy.

PMID: 39390847
DOI: 10.1111/cea.14584

Abstract

This study identifies two distinct subgroups of patients with severe eosinophilic asthma who respond differently to mepolizumab. Cluster analysis reveals that patients with a family history of asthma, positive skin prick tests and higher baseline lung function have better treatment outcomes, highlighting the value of personalised treatment strategies.

Keywords: T2‐high phenotype; anti‐IL5; machine learning; mepolizumab; prediction of clinical response; real‐life study; remission; super‐response.

MeSH terms

Adult
Anti-Asthmatic Agents* / therapeutic use
Antibodies, Monoclonal, Humanized* / therapeutic use
Asthma* / diagnosis
Asthma* / drug therapy
Cluster Analysis
Eosinophilia* / diagnosis
Eosinophilia* / drug therapy
Eosinophils* / immunology
Female
Humans
Male
Middle Aged
Severity of Illness Index
Treatment Outcome

Substances

mepolizumab
Antibodies, Monoclonal, Humanized
Anti-Asthmatic Agents

Grants and funding

Authors' respective Institutions