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Validation Study of Airgo, an Innovative Device to Screen Sleep Respiratory Disorders
BACKGROUND: Obstructive sleep apnea affects a consistent percentage of the population, and only a minority of patients have been diagnosed and treated because of a discrepancy between resources available for diagnosis and the epidemiology of a disorder possibly affecting nearly one billion people in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283899/ https://www.ncbi.nlm.nih.gov/pubmed/35847776 http://dx.doi.org/10.3389/fmed.2022.938542 |
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author | Braghiroli, Alberto Kuller, David Godio, Massimo Rossato, Fabio Sacco, Carlo Morrone, Elisa |
author_facet | Braghiroli, Alberto Kuller, David Godio, Massimo Rossato, Fabio Sacco, Carlo Morrone, Elisa |
author_sort | Braghiroli, Alberto |
collection | PubMed |
description | BACKGROUND: Obstructive sleep apnea affects a consistent percentage of the population, and only a minority of patients have been diagnosed and treated because of a discrepancy between resources available for diagnosis and the epidemiology of a disorder possibly affecting nearly one billion people in the world. AIM: We conducted a study to compare a standard home respiratory monitoring system (Nox T3) with a novel device (Airgo™) consisting of an elastic band and a small recorder, light, comfortable for the patient, and low-cost complete with automatic analysis of the data that produces a screening report indicating the type and severity of sleep respiratory disorder. PATIENTS AND RESULTS: We examined 120 patients, reduced to 118 for technical problems. The mean (SD) age of the patients is 55.7 ± 13 years, their BMI is 27.8 ± 4.3 kg/m(2), and their AHI is 22 ± 22 events/h. Patients belong to all the different severity rates of OSA, with a percentage of them classified as free of respiratory disorders. The Airgo™ showed excellent agreement with the results of the gold standard, reporting high levels of sensitivity, specificity, positive and negative predicted value, and accuracy. CONCLUSION: Airgo™ is a reliable tool to screen patients with suspected sleep respiratory disorders, well tolerated by the patient based on totally automatic analysis and reporting system, leading to more efficient use of doctor’s and clinician’s time and resources and extending the opportunity to diagnose more possible candidates for treatment. |
format | Online Article Text |
id | pubmed-9283899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92838992022-07-16 Validation Study of Airgo, an Innovative Device to Screen Sleep Respiratory Disorders Braghiroli, Alberto Kuller, David Godio, Massimo Rossato, Fabio Sacco, Carlo Morrone, Elisa Front Med (Lausanne) Medicine BACKGROUND: Obstructive sleep apnea affects a consistent percentage of the population, and only a minority of patients have been diagnosed and treated because of a discrepancy between resources available for diagnosis and the epidemiology of a disorder possibly affecting nearly one billion people in the world. AIM: We conducted a study to compare a standard home respiratory monitoring system (Nox T3) with a novel device (Airgo™) consisting of an elastic band and a small recorder, light, comfortable for the patient, and low-cost complete with automatic analysis of the data that produces a screening report indicating the type and severity of sleep respiratory disorder. PATIENTS AND RESULTS: We examined 120 patients, reduced to 118 for technical problems. The mean (SD) age of the patients is 55.7 ± 13 years, their BMI is 27.8 ± 4.3 kg/m(2), and their AHI is 22 ± 22 events/h. Patients belong to all the different severity rates of OSA, with a percentage of them classified as free of respiratory disorders. The Airgo™ showed excellent agreement with the results of the gold standard, reporting high levels of sensitivity, specificity, positive and negative predicted value, and accuracy. CONCLUSION: Airgo™ is a reliable tool to screen patients with suspected sleep respiratory disorders, well tolerated by the patient based on totally automatic analysis and reporting system, leading to more efficient use of doctor’s and clinician’s time and resources and extending the opportunity to diagnose more possible candidates for treatment. Frontiers Media S.A. 2022-07-01 /pmc/articles/PMC9283899/ /pubmed/35847776 http://dx.doi.org/10.3389/fmed.2022.938542 Text en Copyright © 2022 Braghiroli, Kuller, Godio, Rossato, Sacco and Morrone. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Braghiroli, Alberto Kuller, David Godio, Massimo Rossato, Fabio Sacco, Carlo Morrone, Elisa Validation Study of Airgo, an Innovative Device to Screen Sleep Respiratory Disorders |
title | Validation Study of Airgo, an Innovative Device to Screen Sleep Respiratory Disorders |
title_full | Validation Study of Airgo, an Innovative Device to Screen Sleep Respiratory Disorders |
title_fullStr | Validation Study of Airgo, an Innovative Device to Screen Sleep Respiratory Disorders |
title_full_unstemmed | Validation Study of Airgo, an Innovative Device to Screen Sleep Respiratory Disorders |
title_short | Validation Study of Airgo, an Innovative Device to Screen Sleep Respiratory Disorders |
title_sort | validation study of airgo, an innovative device to screen sleep respiratory disorders |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283899/ https://www.ncbi.nlm.nih.gov/pubmed/35847776 http://dx.doi.org/10.3389/fmed.2022.938542 |
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