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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...

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Autores principales: Pinheiro, George do Lago, Cruz, Andrea Fonseca, Domingues, Diego Munduruca, Genta, Pedro Rodrigues, Drager, Luciano F., Strollo, Patrick J., Lorenzi-Filho, Geraldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Medicina / USP 2020
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.
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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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