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Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine
We explored the relationship between obstructive sleep apnea (OSA) patients’ anthropometric measures and the CPAP treatment response. To that end, we processed three non-overlapping cohorts ([Formula: see text] , [Formula: see text] , [Formula: see text]) with 1046 patients from four sleep laborator...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825682/ https://www.ncbi.nlm.nih.gov/pubmed/33430294 http://dx.doi.org/10.3390/diagnostics11010086 |
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author | Mihaicuta, Stefan Udrescu, Lucreţia Udrescu, Mihai Toth, Izabella-Anita Topîrceanu, Alexandru Pleavă, Roxana Ardelean, Carmen |
author_facet | Mihaicuta, Stefan Udrescu, Lucreţia Udrescu, Mihai Toth, Izabella-Anita Topîrceanu, Alexandru Pleavă, Roxana Ardelean, Carmen |
author_sort | Mihaicuta, Stefan |
collection | PubMed |
description | We explored the relationship between obstructive sleep apnea (OSA) patients’ anthropometric measures and the CPAP treatment response. To that end, we processed three non-overlapping cohorts ([Formula: see text] , [Formula: see text] , [Formula: see text]) with 1046 patients from four sleep laboratories in Western Romania, including 145 subjects ([Formula: see text]) with one-night CPAP therapy. Using [Formula: see text] data, we created a CPAP-response network of patients, and found neck circumference (NC) as the most significant qualitative indicator for apnea–hypopnea index (AHI) improvement. We also investigated a quantitative NC cutoff value for OSA screening on cohorts [Formula: see text] (OSA-diagnosed) and [Formula: see text] (control), using the area under the curve. As such, we confirmed the correlation between NC and AHI ([Formula: see text] , [Formula: see text]) and showed that 71% of diagnosed male subjects had bigger NC values than subjects with no OSA (area under the curve is 0.71, with 95% CI 0.63–0.79, [Formula: see text]); the optimal NC cutoff is 41 cm, with a sensitivity of 0.8099, a specificity of 0.5185, positive predicted value (PPV) = 0.9588, negative predicted value (NPV) = 0.1647, and positive likelihood ratio (LR+) = 1.68. Our NC [Formula: see text] cm threshold classified the [Formula: see text] patients’ CPAP responses—measured as the difference in AHI prior to and after the one-night use of CPAP—with a sensitivity of 0.913 and a specificity of 0.859. |
format | Online Article Text |
id | pubmed-7825682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78256822021-01-24 Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine Mihaicuta, Stefan Udrescu, Lucreţia Udrescu, Mihai Toth, Izabella-Anita Topîrceanu, Alexandru Pleavă, Roxana Ardelean, Carmen Diagnostics (Basel) Article We explored the relationship between obstructive sleep apnea (OSA) patients’ anthropometric measures and the CPAP treatment response. To that end, we processed three non-overlapping cohorts ([Formula: see text] , [Formula: see text] , [Formula: see text]) with 1046 patients from four sleep laboratories in Western Romania, including 145 subjects ([Formula: see text]) with one-night CPAP therapy. Using [Formula: see text] data, we created a CPAP-response network of patients, and found neck circumference (NC) as the most significant qualitative indicator for apnea–hypopnea index (AHI) improvement. We also investigated a quantitative NC cutoff value for OSA screening on cohorts [Formula: see text] (OSA-diagnosed) and [Formula: see text] (control), using the area under the curve. As such, we confirmed the correlation between NC and AHI ([Formula: see text] , [Formula: see text]) and showed that 71% of diagnosed male subjects had bigger NC values than subjects with no OSA (area under the curve is 0.71, with 95% CI 0.63–0.79, [Formula: see text]); the optimal NC cutoff is 41 cm, with a sensitivity of 0.8099, a specificity of 0.5185, positive predicted value (PPV) = 0.9588, negative predicted value (NPV) = 0.1647, and positive likelihood ratio (LR+) = 1.68. Our NC [Formula: see text] cm threshold classified the [Formula: see text] patients’ CPAP responses—measured as the difference in AHI prior to and after the one-night use of CPAP—with a sensitivity of 0.913 and a specificity of 0.859. MDPI 2021-01-07 /pmc/articles/PMC7825682/ /pubmed/33430294 http://dx.doi.org/10.3390/diagnostics11010086 Text en © 2021 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 Mihaicuta, Stefan Udrescu, Lucreţia Udrescu, Mihai Toth, Izabella-Anita Topîrceanu, Alexandru Pleavă, Roxana Ardelean, Carmen Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine |
title | Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine |
title_full | Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine |
title_fullStr | Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine |
title_full_unstemmed | Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine |
title_short | Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine |
title_sort | analyzing neck circumference as an indicator of cpap treatment response in obstructive sleep apnea with network medicine |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825682/ https://www.ncbi.nlm.nih.gov/pubmed/33430294 http://dx.doi.org/10.3390/diagnostics11010086 |
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