TY - JOUR
T1 - Cluster Analysis of Finnish Population-Based Adult-Onset Asthma Patients
AU - Ilmarinen, Pinja
AU - Julkunen-Iivari, Anna
AU - Lundberg, Marie
AU - Luukkainen, Annika
AU - Nuutinen, Mikko
AU - Karjalainen, Jussi
AU - Huhtala, Heini
AU - Pekkanen, Juha
AU - Kankaanranta, Hannu
AU - Toppila-Salmi, Sanna
N1 - Funding Information:
The study was supported in part by research grants from state funding for university-level health research (TYH2019322), the Tampere Tuberculosis Foundation , the Finnish Anti-Tuberculosis Association Foundation, the Väinö and Laina Kivi Foundation, and Sohlberg Foundation.
Funding Information:
Conflicts of interest: S. Toppila-Salmi reports consultancies for ALK-Abelló, AstraZeneca , ERT, GSK, Novartis , Sanofi , and Roche Products outside the submitted work, as well as grant of GSK outside the submitted work. P. Ilmarinen is an employee of GSK. M. Lundberg reports consultancies for Sanofi , Chordate Ltd, and Smith + Nephew, and grants from the Finnish Medical Society , Finnish Otorhinolaryngological Society, Mjolbolsta Foundation, and Finnish Allergy and Immunology Society. H. Kankaanranta reports fees for lectures and consultancies from AstraZeneca , Boehringer-Ingelheim, Chiesi Pharma, GSK, MSD, Novartis , Orion Pharma, and SanofiGenzyme. J. Karjalainen reports fees for lectures and consultancies from AstraZeneca , Boehringer-Ingelheim, Chiesi Pharma, GSK, MSD, Novartis , Orion Pharma, and SanofiGenzyme. The rest of the authors declare that they have no relevant conflicts of interest.
Publisher Copyright:
© 2023 The Authors
PY - 2023
Y1 - 2023
N2 - Background: Phenotypes of adult asthma have been identified in previous studies but rarely in population-based settings. Objective: To identify clusters of adult-onset asthma in a Finnish population-based study on subjects born before 1967. Methods: We used population-based data from 1350 asthmatics with adult-onset asthma (Adult Asthma in Finland) from Finnish national registers. Twenty-eight covariates were selected based on literature. The number of covariates was reduced by using factor analysis before cluster analysis. Results: Five clusters (CLU1-CLU5) were identified, 3 clusters with late-onset adult asthma (onset ≥40 years) and 2 clusters with onset at earlier adulthood (<40 years). Subjects in CLU1 (n = 666) had late-onset asthma and were nonobese, symptomatic, and predominantly female with few respiratory infections during childhood. CLU2 (n = 36) consisted of subjects who had earlier-onset asthma, were predominantly female, obese with allergic asthma, and had recurrent respiratory infections. Subjects in CLU3 (n = 75) were nonobese, older, and predominantly men with late-onset asthma, smoking history, comorbidities, severe asthma, least allergic diseases, low education, many siblings, and childhood in rural areas. CLU4 (n = 218) was a late-onset cluster consisting of obese females with comorbidities, asthma symptoms, and low education level. Subjects in CLU5 (n = 260) had earlier onset asthma, were nonobese, and predominantly allergic females. Conclusions: Our population-based adult-onset asthma clusters take into account several critical factors such as obesity and smoking, and identified clusters that partially overlap with clusters identified in clinical settings. Results give us a more profound understanding of adult-onset asthma phenotypes and support personalized management.
AB - Background: Phenotypes of adult asthma have been identified in previous studies but rarely in population-based settings. Objective: To identify clusters of adult-onset asthma in a Finnish population-based study on subjects born before 1967. Methods: We used population-based data from 1350 asthmatics with adult-onset asthma (Adult Asthma in Finland) from Finnish national registers. Twenty-eight covariates were selected based on literature. The number of covariates was reduced by using factor analysis before cluster analysis. Results: Five clusters (CLU1-CLU5) were identified, 3 clusters with late-onset adult asthma (onset ≥40 years) and 2 clusters with onset at earlier adulthood (<40 years). Subjects in CLU1 (n = 666) had late-onset asthma and were nonobese, symptomatic, and predominantly female with few respiratory infections during childhood. CLU2 (n = 36) consisted of subjects who had earlier-onset asthma, were predominantly female, obese with allergic asthma, and had recurrent respiratory infections. Subjects in CLU3 (n = 75) were nonobese, older, and predominantly men with late-onset asthma, smoking history, comorbidities, severe asthma, least allergic diseases, low education, many siblings, and childhood in rural areas. CLU4 (n = 218) was a late-onset cluster consisting of obese females with comorbidities, asthma symptoms, and low education level. Subjects in CLU5 (n = 260) had earlier onset asthma, were nonobese, and predominantly allergic females. Conclusions: Our population-based adult-onset asthma clusters take into account several critical factors such as obesity and smoking, and identified clusters that partially overlap with clusters identified in clinical settings. Results give us a more profound understanding of adult-onset asthma phenotypes and support personalized management.
KW - Adult-onset asthma
KW - Cluster analysis
KW - Factor analysis
KW - Population-based research
U2 - 10.1016/j.jaip.2023.05.034
DO - 10.1016/j.jaip.2023.05.034
M3 - Article
C2 - 37268268
AN - SCOPUS:85162894532
SN - 2213-2198
VL - 11
SP - 3086
EP - 3096
JO - Journal of Allergy and Clinical Immunology: In Practice
JF - Journal of Allergy and Clinical Immunology: In Practice
IS - 10
ER -