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Use of cluster analysis to describe desaturator phenotypes in COPD: correlations between pulmonary function tests and nocturnal oxygen desaturation

BACKGROUND: Significant heterogeneity of clinical presentation and disease progression exists within chronic obstructive pulmonary disease (COPD). Although forced expiratory volume in 1 second (FEV(1)) inadequately describes this heterogeneity, a clear alternative has not emerged. This article discu...

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Autores principales: Toraldo, Domenico Maurizio, De Nuccio, Francesco, Gaballo, Annarita, Nicolardi, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3224650/
https://www.ncbi.nlm.nih.gov/pubmed/22135488
http://dx.doi.org/10.2147/COPD.S25383
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author Toraldo, Domenico Maurizio
De Nuccio, Francesco
Gaballo, Annarita
Nicolardi, Giuseppe
author_facet Toraldo, Domenico Maurizio
De Nuccio, Francesco
Gaballo, Annarita
Nicolardi, Giuseppe
author_sort Toraldo, Domenico Maurizio
collection PubMed
description BACKGROUND: Significant heterogeneity of clinical presentation and disease progression exists within chronic obstructive pulmonary disease (COPD). Although forced expiratory volume in 1 second (FEV(1)) inadequately describes this heterogeneity, a clear alternative has not emerged. This article discusses and refines the concept of phenotyping desaturators in COPD and shows a possible pattern which could be used as a framework for future research. RECENT FINDINGS: COPD is a complex condition with pulmonary and extrapulmonary manifestations. We suggest that COPD phenotypes should be associated with clinically meaningful outcomes. The innovation of COPD phenotyping is defined as COPD desaturators. Sleep-related hypoxemia and hypercapnia are well recognized in COPD and the development of systemic inflammation during sleep. These sleep-related changes predispose to nocturnal cardiac arrhythmias, pulmonary hypertension, and possibly death, particularly during acute exacerbations. CONCLUSION: A more focused definition makes possible a classification of patients into two distinct subgroups for both clinical and research purposes. Establishing a common language for future research will facilitate our understanding and management of such diseases. Even if different treatment strategies have different outcomes for these groups, we will have confirmation, or otherwise, of the clinical value of cluster analysis. This knowledge could lead to pharmacological treatment and other interventions directed to specific phenotypic groups.
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spelling pubmed-32246502011-12-01 Use of cluster analysis to describe desaturator phenotypes in COPD: correlations between pulmonary function tests and nocturnal oxygen desaturation Toraldo, Domenico Maurizio De Nuccio, Francesco Gaballo, Annarita Nicolardi, Giuseppe Int J Chron Obstruct Pulmon Dis Expert Opinion BACKGROUND: Significant heterogeneity of clinical presentation and disease progression exists within chronic obstructive pulmonary disease (COPD). Although forced expiratory volume in 1 second (FEV(1)) inadequately describes this heterogeneity, a clear alternative has not emerged. This article discusses and refines the concept of phenotyping desaturators in COPD and shows a possible pattern which could be used as a framework for future research. RECENT FINDINGS: COPD is a complex condition with pulmonary and extrapulmonary manifestations. We suggest that COPD phenotypes should be associated with clinically meaningful outcomes. The innovation of COPD phenotyping is defined as COPD desaturators. Sleep-related hypoxemia and hypercapnia are well recognized in COPD and the development of systemic inflammation during sleep. These sleep-related changes predispose to nocturnal cardiac arrhythmias, pulmonary hypertension, and possibly death, particularly during acute exacerbations. CONCLUSION: A more focused definition makes possible a classification of patients into two distinct subgroups for both clinical and research purposes. Establishing a common language for future research will facilitate our understanding and management of such diseases. Even if different treatment strategies have different outcomes for these groups, we will have confirmation, or otherwise, of the clinical value of cluster analysis. This knowledge could lead to pharmacological treatment and other interventions directed to specific phenotypic groups. Dove Medical Press 2011 2011-11-09 /pmc/articles/PMC3224650/ /pubmed/22135488 http://dx.doi.org/10.2147/COPD.S25383 Text en © 2011 Toraldo et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Expert Opinion
Toraldo, Domenico Maurizio
De Nuccio, Francesco
Gaballo, Annarita
Nicolardi, Giuseppe
Use of cluster analysis to describe desaturator phenotypes in COPD: correlations between pulmonary function tests and nocturnal oxygen desaturation
title Use of cluster analysis to describe desaturator phenotypes in COPD: correlations between pulmonary function tests and nocturnal oxygen desaturation
title_full Use of cluster analysis to describe desaturator phenotypes in COPD: correlations between pulmonary function tests and nocturnal oxygen desaturation
title_fullStr Use of cluster analysis to describe desaturator phenotypes in COPD: correlations between pulmonary function tests and nocturnal oxygen desaturation
title_full_unstemmed Use of cluster analysis to describe desaturator phenotypes in COPD: correlations between pulmonary function tests and nocturnal oxygen desaturation
title_short Use of cluster analysis to describe desaturator phenotypes in COPD: correlations between pulmonary function tests and nocturnal oxygen desaturation
title_sort use of cluster analysis to describe desaturator phenotypes in copd: correlations between pulmonary function tests and nocturnal oxygen desaturation
topic Expert Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3224650/
https://www.ncbi.nlm.nih.gov/pubmed/22135488
http://dx.doi.org/10.2147/COPD.S25383
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