Cluster analysis of clinical phenotypes of OSA and its implications for comorbidities

J. Pépin (Grenoble, France)

Source: Virtual Congress 2021 – What is new for sleep apnoea? The European perspective: findings from the European Sleep Apnoea Database (ESADA)

WebcastSlide presentation

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
J. Pépin (Grenoble, France). Cluster analysis of clinical phenotypes of OSA and its implications for comorbidities. Virtual Congress 2021 – What is new for sleep apnoea? The European perspective: findings from the European Sleep Apnoea Database (ESADA)

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


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


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



Cluster analysis identifies distinct clinical phenotypes with poor treatment responsiveness in asthma.
Source: International Congress 2018 – Asthma: clinical screening tools
Year: 2018


Stratifying COPD patients by cluster analysis using clinical and behavioral variables
Source: Virtual Congress 2020 – Clinical data and COPD management
Year: 2020


IPF cluster analysis highlights diagnostic delay and cardiovascular comorbidities association with outcome
Source: Virtual Congress 2021 – Interstitial lung disease around the world
Year: 2021


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


BREATHE – Distribution and co-expression of T2 biomarkers in asthma and association with severity, clinical characteristics and co-morbidities
Source: Virtual Congress 2021 – Severe asthma: evaluation using patient-reported outcome measures (PROMs) and biomarkers, comorbidities and treatments
Year: 2021


Longitudinal validation of clinical COPD phenotypes identified by cluster analysis
Source: Annual Congress 2011 - COPD diagnosis
Year: 2011

Cluster phenotyping as an approach to identify COPD patients at risk of poor prognosis.
Source: International Congress 2018 – How far are we in terms of predicting mortality and exacerbations in COPD?
Year: 2018




Prevalence and clinical relevance of comorbidities in IPF
Source: International Congress 2018 – Consequences of idiopathic interstitial pneumonias
Year: 2018

Clinical features and quality of life in patients with different metabolic phenotypes of COPD
Source: International Congress 2017 – Latest insights into the management of chronic lung diseases
Year: 2017


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

Avoiding confusion in COPD: from risk factors to phenotypes to measures of disease characterisation
Source: Eur Respir J 2011; 38: 749-751
Year: 2011


The relationship of comorbidities with clinical and phsyiological parameters in COPD
Source: Annual Congress 2012 - COPD comorbidities II
Year: 2012

Clustering of adherence variability metrics and clinical outcomes in asthma
Source: International Congress 2018 – Clinical determinants of asthma and biomarkers
Year: 2018




Clinical characteristics and related risk factors of depression in patients with early COPD
Source: International Congress 2018 – COPD and extrapulmonary comorbidities
Year: 2018

Clinical COPD phenotypes: a novel approach using principal component and cluster analyses
Source: Eur Respir J 2010; 36: 531-539
Year: 2010



Defining the clinical clusters of severe asthma within UBIOPRED
Source: International Congress 2015 – Fingerprinting severe asthma
Year: 2015