Literature DB >> 24102534

Cluster analysis identifies characteristic phenotypes of asthma with accelerated lung function decline.

Takuro Sakagami1, Takashi Hasegawa, Toshiyuki Koya, Toshiki Furukawa, Hidenori Kawakami, Yosuke Kimura, Yoshifumi Hoshino, Hirotaka Sakamoto, Kenjiro Shima, Hiroshi Kagamu, Ei-ichi Suzuki, Ichiei Narita.   

Abstract

OBJECTIVE: While the majority of individuals with asthma retain normal lung function over time, some exhibit accelerated lung function decline. Preservation of lung function is an important aspect of asthma management. Whether the asthma guidelines can prevent lung function decline remains controversial. This study was performed to determine the distribution of asthmatic subjects with greater lung function decline and to identify characteristic clinical features of such subjects treated in accordance with clinical guidelines by using hierarchical cluster analysis.
METHODS: Eighty-six asthmatic subjects without a history of smoking were assessed with respect to eight variables selected from clinical phenotypes by using step-wise multiple regression analysis. Hierarchical cluster analysis using Ward's method generated a dendrogram for estimation of the number of clusters within the population and the differences between them.
RESULTS: Three distinct clusters were identified. Cluster 1 (n = 40) comprised women with late-onset asthma. Cluster 2 (n = 17) comprised subjects with early-onset asthma, atopy and long disease duration. Cluster 3 (n = 29) predominantly comprised older men who had late-onset asthma, a lower prevalence of exacerbation and a lower predicted % forced expiratory volume in 1 s (FEV1) at baseline. Subjects in cluster 3 showed a mean decline in FEV1 of 69 mL/year, which was the greatest lung function decline among the three clusters.
CONCLUSION: We identified a subgroup of patients with accelerated lung function decline despite appropriate asthma treatment based on guidelines constructed by using subjective symptoms.

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Year:  2013        PMID: 24102534     DOI: 10.3109/02770903.2013.852201

Source DB:  PubMed          Journal:  J Asthma        ISSN: 0277-0903            Impact factor:   2.515


  9 in total

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2.  Phenotypes of asthma in low-income children and adolescents: cluster analysis.

Authors:  Anna Lucia Barros Cabral; Andrey Wirgues Sousa; Felipe Augusto Rodrigues Mendes; Celso Ricardo Fernandes de Carvalho
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Authors:  Mary Claire Rolfes; Young Jun Juhn; Chung-Il Wi; Youn Ho Sheen
Journal:  Tuberc Respir Dis (Seoul)       Date:  2017-03-31

4.  A Cluster Analysis of Bronchial Asthma Patients with Depressive Symptoms.

Authors:  Yo Seino; Takashi Hasegawa; Toshiyuki Koya; Takuro Sakagami; Ichiro Mashima; Natsue Shimizu; Yoshiyuki Muramatsu; Kumiko Muramatsu; Eiichi Suzuki; Toshiaki Kikuchi
Journal:  Intern Med       Date:  2018-03-09       Impact factor: 1.271

5.  Effect of aerobic exercise training on asthma control in postmenopausal women (the ATOM-study): protocol for an outcome assessor, randomised controlled trial.

Authors:  Erik Sören Halvard Hansen; Morten Hostrup; Hanne Kruuse Rasmusen; Ylva Hellsten; Vibeke Backer
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6.  Data-Driven Cluster Analysis of Oxidative Stress Indexes in relation to Vitamin D Level, Age, and Metabolic Control in Patients with Type 2 Diabetes on Metformin Therapy.

Authors:  Milena M Cojic; Aleksandra Klisic; Radivoj Kocic; Andrej Veljkovic; Gordana Kocic
Journal:  Oxid Med Cell Longev       Date:  2021-06-21       Impact factor: 6.543

Review 7.  Phenotypes, Risk Factors, and Mechanisms of Adult-Onset Asthma.

Authors:  Pinja Ilmarinen; Leena E Tuomisto; Hannu Kankaanranta
Journal:  Mediators Inflamm       Date:  2015-10-11       Impact factor: 4.711

Review 8.  Identification of Asthma Subtypes Using Clustering Methodologies.

Authors:  Matea Deliu; Matthew Sperrin; Danielle Belgrave; Adnan Custovic
Journal:  Pulm Ther       Date:  2016-06-22

Review 9.  Challenges of Clustering Multimodal Clinical Data: Review of Applications in Asthma Subtyping.

Authors:  Elsie Horne; Holly Tibble; Aziz Sheikh; Athanasios Tsanas
Journal:  JMIR Med Inform       Date:  2020-05-28
  9 in total

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