Phenotypes of adult-onset asthma by cluster analysis

M. Amelink, S.B. de Nijs, J.C. de Groot, P.M.B. van Tilburg, P. van Spiegel, F.H. Krouwels, R. Lutter, A.H. Zwinderman, E.J.M. Weersink, A. ten Brinke, P.J. Sterk, E.H. Bel (Amsterdam, Leeuwarden, Blaricum, Hoofddorp, Netherlands)

Source: Annual Congress 2012 - Phenotypes and mechanisms of treatment of asthma
Session: Phenotypes and mechanisms of treatment of asthma
Session type: Poster Discussion
Number: 1959
Disease area: Airway diseases

Congress or journal article abstract

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
M. Amelink, S.B. de Nijs, J.C. de Groot, P.M.B. van Tilburg, P. van Spiegel, F.H. Krouwels, R. Lutter, A.H. Zwinderman, E.J.M. Weersink, A. ten Brinke, P.J. Sterk, E.H. Bel (Amsterdam, Leeuwarden, Blaricum, Hoofddorp, Netherlands). Phenotypes of adult-onset asthma by cluster analysis. Eur Respir J 2012; 40: Suppl. 56, 1959

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.
You must Login to comment this presentation.


Related content which might interest you:
Identification of asthma phenotypes using cluster analysis
Source: International Congress 2018 – Exploring the importance of daily physical activity in chronic respiratory disease
Year: 2018

Analysis of phenotypes in a group of severe asthma
Source: International Congress 2019 – Immunopathological mechanisms of lung disease
Year: 2019

Cluster analysis and clinical asthma phenotypes
Source: Annual Congress 2013 –Severe asthma: moving from phenotyping to endotyping
Year: 2013


Two phenothypes of severe asthma identified by cluster analysis
Source: International Congress 2018 – Clinical markers of asthma
Year: 2018


Features of FeNO-high asthma phenotype
Source: Virtual Congress 2021 – Biomarkers to phenotype asthma: prediction of exacerbations
Year: 2021


Phenotypes and endotypes of severe asthma
Source: Annual Congress 2012 - PG14 From phenotypes to endotypes of asthma and COPD
Year: 2012

Identification of asthma clusters in two independent Korean adult asthma cohorts
Source: Eur Respir J 2013; 41: 1308-1314
Year: 2013



Identifying adult asthma phenotypes using a clustering approach
Source: Eur Respir J 2011; 38: 310-317
Year: 2011



Common genes underlying asthma and COPD? Genome-wide analysis on the Dutch hypothesis
Source: Eur Respir J 2014; 44: 860-872
Year: 2014



Differences between asthma–COPD overlap syndrome and adult-onset asthma
Source: Eur Respir J, 49 (5) 1602383; 10.1183/13993003.02383-2016
Year: 2017



Cluster analysis to identify phenotypes in COPD
Source: Annual Congress 2009 - Quality of life and symptoms in COPD
Year: 2009

Identification of clinical phenotypes using cluster analyses in COPD patients
Source: International Congress 2019 – Phenotypes and comorbidities of airway diseases
Year: 2019


Identification of asthma phenotypes in children
Source: Breathe 2011; 8: 38-44
Year: 2011

Phenotypic characterization of asthma-COPD overlap syndrome: Comparison with asthma and COPD
Source: International Congress 2015 – Non-inflammatory monitoring of airway diseases
Year: 2015


Clinical profile of patients with adult-onset eosinophilic asthma
Source: ERJ Open Res 2016: 00100-2015
Year: 2016



Mapping a mouse model of severe asthma to human asthma using gene set variation analysis
Source: International Congress 2015 – Advances in the future treatment of severe asthma
Year: 2015

Muscle phenotypes in COPD patients: An exploratory cluster analysis
Source: Annual Congress 2012 - The best posters on physical inactivity, muscle dysfunction and exercise intolerance
Year: 2012


Identification and validation of asthma phenotypes in Chinese population using cluster analysis
Source: International Congress 2015 – Is asthma always an easy disease to diagnose and manage?
Year: 2015