Cluster analysis in phenotyping a Portuguese population

Revista Portuguesa De Pneumologia
C C LoureiroJ Bousquet

Abstract

Unbiased cluster analysis using clinical parameters has identified asthma phenotypes. Adding inflammatory biomarkers to this analysis provided a better insight into the disease mechanisms. This approach has not yet been applied to asthmatic Portuguese patients. To identify phenotypes of asthma using cluster analysis in a Portuguese asthmatic population treated in secondary medical care. Consecutive patients with asthma were recruited from the outpatient clinic. Patients were optimally treated according to GINA guidelines and enrolled in the study. Procedures were performed according to a standard evaluation of asthma. Phenotypes were identified by cluster analysis using Ward's clustering method. Of the 72 patients enrolled, 57 had full data and were included for cluster analysis. Distribution was set in 5 clusters described as follows: cluster (C) 1, early onset mild allergic asthma; C2, moderate allergic asthma, with long evolution, female prevalence and mixed inflammation; C3, allergic brittle asthma in young females with early disease onset and no evidence of inflammation; C4, severe asthma in obese females with late disease onset, highly symptomatic despite low Th2 inflammation; C5, severe asthma with chronic airflow obstru...Continue Reading

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Citations

Aug 12, 2016·Pulmonary Therapy·Matea DeliuAdnan Custovic
Jul 14, 2017·Folia medica·Vania M YouroukovaKalina D Tumangelova-Yuzeir
May 29, 2020·JMIR Medical Informatics·Elsie HorneAthanasios Tsanas
Oct 13, 2018·BioMed Research International·C C LoureiroA Arrobas
May 1, 2021·Diagnostics·Francisco CunhaJoão A Fonseca
May 1, 2021·The Journal of Asthma : Official Journal of the Association for the Care of Asthma·Mindy K RossFrank D Gilliland

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