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Validation of an Overnight Wireless High-Resolution Oximeter plus Cloud-Based Algorithm for the Diagnosis of Obstructive Sleep Apnea
OBJECTIVES: Obstructive sleep apnea (OSA) is a common but largely underdiagnosed condition. This study aimed to test the hypothesis that the oxygen desaturation index (ODI) obtained using a wireless high-resolution oximeter with a built-in accelerometer linked to a smartphone with automated cloud an...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Faculdade de Medicina / USP
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654954/ https://www.ncbi.nlm.nih.gov/pubmed/33263626 http://dx.doi.org/10.6061/clinics/2020/e2414 |
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author | Pinheiro, George do Lago Cruz, Andrea Fonseca Domingues, Diego Munduruca Genta, Pedro Rodrigues Drager, Luciano F. Strollo, Patrick J. Lorenzi-Filho, Geraldo |
author_facet | Pinheiro, George do Lago Cruz, Andrea Fonseca Domingues, Diego Munduruca Genta, Pedro Rodrigues Drager, Luciano F. Strollo, Patrick J. Lorenzi-Filho, Geraldo |
author_sort | Pinheiro, George do Lago |
collection | PubMed |
description | OBJECTIVES: Obstructive sleep apnea (OSA) is a common but largely underdiagnosed condition. This study aimed to test the hypothesis that the oxygen desaturation index (ODI) obtained using a wireless high-resolution oximeter with a built-in accelerometer linked to a smartphone with automated cloud analysis, Overnight Digital Monitoring (ODM), is a reliable method for the diagnosis of OSA. METHODS: Consecutive patients referred to the sleep laboratory with suspected OSA underwent in-laboratory polysomnography (PSG) and simultaneous ODM. The PSG apnea-hypopnea index (AHI) was analyzed using the criteria recommended and accepted by the American Academy of Sleep Medicine (AASM) for the definition of hypopnea: arousal or ≥3% O(2) desaturation (PSG-AHI(3%)) and ≥4% O(2) desaturation (PSG-AHI(4%)), respectively. The results of PSG and ODM were compared by drawing parallels between the PSG-AHI(3%) and PSG-AHI(4%) with ODM-ODI(3%) and ODM-ODI(4%), respectively. Bland-Altman plots, intraclass correlation, receiver operating characteristics (ROC) and area under the curve (AUC) analyses were conducted for statistical evaluation. ClinicalTrial.gov: NCT03526133. RESULTS: This study included 304 participants (men: 55%; age: 55±14 years; body mass index: 30.9±5.7 kg/m(2); PSG-AHI(3%): 35.3±30.1/h, ODM-ODI(3%): 30.3±25.9/h). The variability in the AASM scoring bias (PSG-AHI(3%) vs PSG-AHI(4%)) was significantly higher than that for PSG-AHI(3%) vs ODM-ODI(3%) (3%) and PSG-AHI(4%) vs ODM-ODI(4%) (4%) (9.7, 5.0, and 2.9/h, respectively; p<0.001). The limits of agreement (2±SD, derived from the Bland-Altman plot) of AASM scoring variability were also within the same range for (PSG vs ODM) 3% and 4% variability: 18.9, 21.6, and 16.5/h, respectively. The intraclass correlation/AUC for AASM scoring variability and PSG vs ODM 3% or 4% variability were also within the same range (0.944/0.977 and 0.953/0.955 or 0.971/0.964, respectively). CONCLUSION: Our results showed that ODM is a simple and accurate method for the diagnosis of OSA. |
format | Online Article Text |
id | pubmed-7654954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Faculdade de Medicina / USP |
record_format | MEDLINE/PubMed |
spelling | pubmed-76549542020-11-13 Validation of an Overnight Wireless High-Resolution Oximeter plus Cloud-Based Algorithm for the Diagnosis of Obstructive Sleep Apnea Pinheiro, George do Lago Cruz, Andrea Fonseca Domingues, Diego Munduruca Genta, Pedro Rodrigues Drager, Luciano F. Strollo, Patrick J. Lorenzi-Filho, Geraldo Clinics (Sao Paulo) Original Article OBJECTIVES: Obstructive sleep apnea (OSA) is a common but largely underdiagnosed condition. This study aimed to test the hypothesis that the oxygen desaturation index (ODI) obtained using a wireless high-resolution oximeter with a built-in accelerometer linked to a smartphone with automated cloud analysis, Overnight Digital Monitoring (ODM), is a reliable method for the diagnosis of OSA. METHODS: Consecutive patients referred to the sleep laboratory with suspected OSA underwent in-laboratory polysomnography (PSG) and simultaneous ODM. The PSG apnea-hypopnea index (AHI) was analyzed using the criteria recommended and accepted by the American Academy of Sleep Medicine (AASM) for the definition of hypopnea: arousal or ≥3% O(2) desaturation (PSG-AHI(3%)) and ≥4% O(2) desaturation (PSG-AHI(4%)), respectively. The results of PSG and ODM were compared by drawing parallels between the PSG-AHI(3%) and PSG-AHI(4%) with ODM-ODI(3%) and ODM-ODI(4%), respectively. Bland-Altman plots, intraclass correlation, receiver operating characteristics (ROC) and area under the curve (AUC) analyses were conducted for statistical evaluation. ClinicalTrial.gov: NCT03526133. RESULTS: This study included 304 participants (men: 55%; age: 55±14 years; body mass index: 30.9±5.7 kg/m(2); PSG-AHI(3%): 35.3±30.1/h, ODM-ODI(3%): 30.3±25.9/h). The variability in the AASM scoring bias (PSG-AHI(3%) vs PSG-AHI(4%)) was significantly higher than that for PSG-AHI(3%) vs ODM-ODI(3%) (3%) and PSG-AHI(4%) vs ODM-ODI(4%) (4%) (9.7, 5.0, and 2.9/h, respectively; p<0.001). The limits of agreement (2±SD, derived from the Bland-Altman plot) of AASM scoring variability were also within the same range for (PSG vs ODM) 3% and 4% variability: 18.9, 21.6, and 16.5/h, respectively. The intraclass correlation/AUC for AASM scoring variability and PSG vs ODM 3% or 4% variability were also within the same range (0.944/0.977 and 0.953/0.955 or 0.971/0.964, respectively). CONCLUSION: Our results showed that ODM is a simple and accurate method for the diagnosis of OSA. Faculdade de Medicina / USP 2020-11-10 2020 /pmc/articles/PMC7654954/ /pubmed/33263626 http://dx.doi.org/10.6061/clinics/2020/e2414 Text en Copyright © 2020 CLINICS http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is properly cited. |
spellingShingle | Original Article Pinheiro, George do Lago Cruz, Andrea Fonseca Domingues, Diego Munduruca Genta, Pedro Rodrigues Drager, Luciano F. Strollo, Patrick J. Lorenzi-Filho, Geraldo Validation of an Overnight Wireless High-Resolution Oximeter plus Cloud-Based Algorithm for the Diagnosis of Obstructive Sleep Apnea |
title | Validation of an Overnight Wireless High-Resolution Oximeter plus Cloud-Based Algorithm for the Diagnosis of Obstructive Sleep Apnea |
title_full | Validation of an Overnight Wireless High-Resolution Oximeter plus Cloud-Based Algorithm for the Diagnosis of Obstructive Sleep Apnea |
title_fullStr | Validation of an Overnight Wireless High-Resolution Oximeter plus Cloud-Based Algorithm for the Diagnosis of Obstructive Sleep Apnea |
title_full_unstemmed | Validation of an Overnight Wireless High-Resolution Oximeter plus Cloud-Based Algorithm for the Diagnosis of Obstructive Sleep Apnea |
title_short | Validation of an Overnight Wireless High-Resolution Oximeter plus Cloud-Based Algorithm for the Diagnosis of Obstructive Sleep Apnea |
title_sort | validation of an overnight wireless high-resolution oximeter plus cloud-based algorithm for the diagnosis of obstructive sleep apnea |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654954/ https://www.ncbi.nlm.nih.gov/pubmed/33263626 http://dx.doi.org/10.6061/clinics/2020/e2414 |
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