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Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach

We defined gender-specific phenotypes for men and women diagnosed with obstructive sleep apnea syndrome (OSAS) based on easy-to-measure anthropometric parameters, using a network science approach. We collected data from 2796 consecutive patients since 2005, from 4 sleep laboratories in Western Roman...

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Autores principales: Topîrceanu, Alexandru, Udrescu, Lucreția, Udrescu, Mihai, Mihaicuta, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764072/
https://www.ncbi.nlm.nih.gov/pubmed/33322816
http://dx.doi.org/10.3390/jcm9124025
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author Topîrceanu, Alexandru
Udrescu, Lucreția
Udrescu, Mihai
Mihaicuta, Stefan
author_facet Topîrceanu, Alexandru
Udrescu, Lucreția
Udrescu, Mihai
Mihaicuta, Stefan
author_sort Topîrceanu, Alexandru
collection PubMed
description We defined gender-specific phenotypes for men and women diagnosed with obstructive sleep apnea syndrome (OSAS) based on easy-to-measure anthropometric parameters, using a network science approach. We collected data from 2796 consecutive patients since 2005, from 4 sleep laboratories in Western Romania, recording sleep, breathing, and anthropometric measurements. For both genders, we created specific apnea patient networks defined by patient compatibility relationships in terms of age, body mass index (BMI), neck circumference (NC), blood pressure (BP), and Epworth sleepiness score (ESS). We classified the patients with clustering algorithms, then statistically analyzed the groups/clusters. Our study uncovered eight phenotypes for each gender. We found that all males with OSAS have a large NC, followed by daytime sleepiness and high BP or obesity. Furthermore, all unique female phenotypes have high BP, followed by obesity and sleepiness. We uncovered gender-related differences in terms of associated OSAS parameters. In males, we defined the pattern large NC–sleepiness–high BP as an OSAS predictor, while in women, we found the pattern of high BP–obesity–sleepiness. These insights are useful for increasing awareness, improving diagnosis, and treatment response.
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spelling pubmed-77640722020-12-27 Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach Topîrceanu, Alexandru Udrescu, Lucreția Udrescu, Mihai Mihaicuta, Stefan J Clin Med Article We defined gender-specific phenotypes for men and women diagnosed with obstructive sleep apnea syndrome (OSAS) based on easy-to-measure anthropometric parameters, using a network science approach. We collected data from 2796 consecutive patients since 2005, from 4 sleep laboratories in Western Romania, recording sleep, breathing, and anthropometric measurements. For both genders, we created specific apnea patient networks defined by patient compatibility relationships in terms of age, body mass index (BMI), neck circumference (NC), blood pressure (BP), and Epworth sleepiness score (ESS). We classified the patients with clustering algorithms, then statistically analyzed the groups/clusters. Our study uncovered eight phenotypes for each gender. We found that all males with OSAS have a large NC, followed by daytime sleepiness and high BP or obesity. Furthermore, all unique female phenotypes have high BP, followed by obesity and sleepiness. We uncovered gender-related differences in terms of associated OSAS parameters. In males, we defined the pattern large NC–sleepiness–high BP as an OSAS predictor, while in women, we found the pattern of high BP–obesity–sleepiness. These insights are useful for increasing awareness, improving diagnosis, and treatment response. MDPI 2020-12-12 /pmc/articles/PMC7764072/ /pubmed/33322816 http://dx.doi.org/10.3390/jcm9124025 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Topîrceanu, Alexandru
Udrescu, Lucreția
Udrescu, Mihai
Mihaicuta, Stefan
Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach
title Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach
title_full Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach
title_fullStr Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach
title_full_unstemmed Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach
title_short Gender Phenotyping of Patients with Obstructive Sleep Apnea Syndrome Using a Network Science Approach
title_sort gender phenotyping of patients with obstructive sleep apnea syndrome using a network science approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764072/
https://www.ncbi.nlm.nih.gov/pubmed/33322816
http://dx.doi.org/10.3390/jcm9124025
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