Source: International Congress 2019 – Phenotypes and comorbidities of airway diseases
Disease area: Airway diseases



Rating:

Share or cite this content

Citations should be made in the following way:
A. Corlateanu (Chisinau, Republic of Moldova), E. Scutaru (Chisinau, Republic of Moldova), D. Rusu (Chisinau, Republic of Moldova), O. Corlateanu (Chisinau, Republic of Moldova), S. Covantev (Chisinau, Republic of Moldova), V. Botnaru (Chisinau, Republic of Moldova). Identification of clinical phenotypes using cluster analyses in COPD patients. 4322

Member's Comments

No comment yet.

Related content which might interest you: Identification and analysis of clinical phenotypes in COPD patients: PALOMB Cohort Source: Virtual Congress 2021 – COPD burden, epidemiology and management Year: 2021 Longitudinal validation of clinical COPD phenotypes identified by cluster analysis Source: Annual Congress 2011 - COPD diagnosis Year: 2011 Cluster analysis to identify phenotypes in COPD Source: Annual Congress 2009 - Quality of life and symptoms in COPD Year: 2009 Clinical COPD phenotypes identified by cluster analysis: validation with mortality Source: Eur Respir J 2012; 40: 495-496 Year: 2012 Identification of asthma phenotypes using cluster analysis Source: International Congress 2018 – Exploring the importance of daily physical activity in chronic respiratory disease Year: 2018 Cluster analysis and clinical asthma phenotypes Source: Annual Congress 2013 –Severe asthma: moving from phenotyping to endotyping Year: 2013 A network analysis of clinical characteristics of patients with COPD: partial results. Source: International Congress 2018 – Chronic respiratory disease: effects of rehabilitation interventions in patients Year: 2018 Identification of clinical phenotypes in patients with and without COPD using cluster analysis Source: International Congress 2016 – Biomarkers and phenotypes of COPD and comorbidities Year: 2016 Stratifying COPD patients by cluster analysis using clinical and behavioral variables Source: Virtual Congress 2020 – Clinical data and COPD management Year: 2020 Adult asthma phenotypes identified by a cluster analysis on clinical and biological characteristics Source: International Congress 2018 – Asthma in children and adults: long-term aspects Year: 2018 Use of cluster analysis to define COPD phenotypes Source: Eur Respir J 2010; 36: 472-474 Year: 2010 Cluster analysis identifies distinct clinical phenotypes with poor treatment responsiveness in asthma. Source: International Congress 2018 – Asthma: clinical screening tools Year: 2018 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 Cluster analysis of clinical phenotypes of OSA and its implications for comorbidities Source: Virtual Congress 2021 – What is new for sleep apnoea? The European perspective: findings from the European Sleep Apnoea Database (ESADA) Year: 2021 Clinical COPD phenotypes: a novel approach using principal component and cluster analyses Source: Eur Respir J 2010; 36: 531-539 Year: 2010 Identification of COPD phenotypes using factor analysis Source: Annual Congress 2009 - Quality of life and symptoms in COPD Year: 2009 Cluster analysis revealed differences on quality of life and susceptibility to exacerbation between subpopulations of smokers including COPD Source: Annual Congress 2011 - COPD diagnosis Year: 2011 The use of microarray analysis of gene signalling to determine heterogeneity of COPD exacerbation phenotypes Source: ERS Lung Science Conference 2016 Year: 2016 The superexacerbator phenotype in patients with COPD: a descriptive analysis Source: ERJ Open Res, 5 (2) 00235-2018; 10.1183/23120541.00235-2018 Year: 2019 Two phenothypes of severe asthma identified by cluster analysis Source: International Congress 2018 – Clinical markers of asthma Year: 2018