2014
DOI: 10.1183/09031936.00032314
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The different clinical faces of obstructive sleep apnoea: a cluster analysis

Abstract: Although commonly observed in clinical practice, the heterogeneity of obstructive sleep apnoea (OSA) clinical presentation has not been formally characterised.This study was the first to apply cluster analysis to identify subtypes of patients with OSA who experience distinct combinations of symptoms and comorbidities. An analysis of baseline data from the Icelandic Sleep Apnoea Cohort (822 patients with newly diagnosed moderate-to-severe OSA) was performed.Three distinct clusters were identified. They were cla… Show more

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Cited by 364 publications
(309 citation statements)
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“…We have identified these distinct clusters of patients with OSA, which suggests that identifying clusters based on both symptoms and comorbidities can more fully capture the spectrum of OSA rather than relying on the severity of the disease as measured by AHI and ODI. 31 The relationship between depression and daytime sleepiness is bidirectional because depression can also be a risk factor for excessive daytime sleepiness, 11 which further supports the need of evaluating mental health among sleepy subjects with OSA. Furthermore, there is a strong association of obesity and daytime sleepiness, regardless of OSA, 11 which suggests a need for a broader focus on interventions aimed at improving mental health and supporting weight loss among patients with OSA as well as pointing out the importance of assessing depression and obesity among sleepy subjects without OSA.…”
Section: Discussionmentioning
confidence: 94%
“…We have identified these distinct clusters of patients with OSA, which suggests that identifying clusters based on both symptoms and comorbidities can more fully capture the spectrum of OSA rather than relying on the severity of the disease as measured by AHI and ODI. 31 The relationship between depression and daytime sleepiness is bidirectional because depression can also be a risk factor for excessive daytime sleepiness, 11 which further supports the need of evaluating mental health among sleepy subjects with OSA. Furthermore, there is a strong association of obesity and daytime sleepiness, regardless of OSA, 11 which suggests a need for a broader focus on interventions aimed at improving mental health and supporting weight loss among patients with OSA as well as pointing out the importance of assessing depression and obesity among sleepy subjects without OSA.…”
Section: Discussionmentioning
confidence: 94%
“…The first cluster analysis on OSA clinical phenotypes was published by the Icelandic Sleep Apnea Cohort (ISAC) research group, in >800 consecutive patients with newly diagnosed moderate-to-severe OSA [87]. Three main clusters were identified, corresponding to the "disturbed sleep", the "minimally symptomatic" and the "excessive daytime sleepiness (EDS)" phenotypes.…”
Section: Clinical Phenotypes Of Osamentioning
confidence: 99%
“…El conocimiento de la presentación clínica del SAHOS ha sido uno de los objetivos principales de nuestro estudio. El abordaje más completo probablemente sea el que utiliza el método estadístico de análisis de conglomerados (25) . En esa línea de investigación se inscribe la búsqueda de fenotipos fisiopatológicos o conductuales (26) , que puedan explicar las causas no anatómicas del SA-HOS.…”
Section: Discussionunclassified