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Predicting the night-to-night variability in the severity of obstructive sleep apnea: the case of the standard error of measurement

STUDY OBJECTIVES: Night-to-night variability in the apnea-hypopnea index (AHI) may affect the accuracy of the diagnosis of obstructive sleep apnea (OSA) and treatment selection. This study was conducted to assess the utility of the standard error of measurement (SEM) in predicting the night-to-night...

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Autores principales: Anitua, Eduardo, Duran-Cantolla, Joaquin, Almeida, Gabriela Zamora, Alkhraisat, Mohammad Hamdan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Brazilian Association of Sleep and Latin American Federation of Sleep 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6922552/
https://www.ncbi.nlm.nih.gov/pubmed/31879538
http://dx.doi.org/10.5935/1984-0063.20190063
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author Anitua, Eduardo
Duran-Cantolla, Joaquin
Almeida, Gabriela Zamora
Alkhraisat, Mohammad Hamdan
author_facet Anitua, Eduardo
Duran-Cantolla, Joaquin
Almeida, Gabriela Zamora
Alkhraisat, Mohammad Hamdan
author_sort Anitua, Eduardo
collection PubMed
description STUDY OBJECTIVES: Night-to-night variability in the apnea-hypopnea index (AHI) may affect the accuracy of the diagnosis of obstructive sleep apnea (OSA) and treatment selection. This study was conducted to assess the utility of the standard error of measurement (SEM) in predicting the night-to-night variability in the OSA. METHODS: Ninety nine patients underwent a 3-consecutive nights of sleep monitoring with a validated home portable monitoring devise (BTI-APNiA, BTI Biotechnology Institute, Vitoria, Spain). The night-to-night variability in apnea- and hypopnea-related measures and blood desaturation were assessed. The agreement between the three nights was also assessed. The SEM and the AHI of the first night were used to calculate a range for the severity of the OSA. This range was then challenged to predict the most frequent OSA severity, the OSA severity in nights 2 and 3, and the OSA severity in the three nights. RESULTS: Ninety nine patients (mean age: 56±14 years) participated in the study. The mean body mass index was 25.4±4.0 Kg/m(2) and the mean score of Epworth questionnaire was 8±5. The AHI of the first, second and third nights were 13.96±13.46, 13.76±12.76 and 13.52±12.91 events/h, respectively. The night-to-night variability in the AHI and the sleep time in supine position over the three nights were not statistically significant. However, the differences in the severity of the OSA was statistically significant (range of agreement in the diagnosis: 41.7%-83.3%). The standard error of measurement (SEM) considering the AHI was 4.64 events/h.. The SEM was efficient in predicting the most frequent OSA severity (among the three nights) in more than 96% of the cases. CONCLUSIONS: The night-to-night variability in the AHI might affect the diagnosis of OSA. The use of standard error of measurement and the AHI of one single night would be of interest to predict the night-to-night variability in the severity of OSA.
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spelling pubmed-69225522019-12-26 Predicting the night-to-night variability in the severity of obstructive sleep apnea: the case of the standard error of measurement Anitua, Eduardo Duran-Cantolla, Joaquin Almeida, Gabriela Zamora Alkhraisat, Mohammad Hamdan Sleep Sci Original Article STUDY OBJECTIVES: Night-to-night variability in the apnea-hypopnea index (AHI) may affect the accuracy of the diagnosis of obstructive sleep apnea (OSA) and treatment selection. This study was conducted to assess the utility of the standard error of measurement (SEM) in predicting the night-to-night variability in the OSA. METHODS: Ninety nine patients underwent a 3-consecutive nights of sleep monitoring with a validated home portable monitoring devise (BTI-APNiA, BTI Biotechnology Institute, Vitoria, Spain). The night-to-night variability in apnea- and hypopnea-related measures and blood desaturation were assessed. The agreement between the three nights was also assessed. The SEM and the AHI of the first night were used to calculate a range for the severity of the OSA. This range was then challenged to predict the most frequent OSA severity, the OSA severity in nights 2 and 3, and the OSA severity in the three nights. RESULTS: Ninety nine patients (mean age: 56±14 years) participated in the study. The mean body mass index was 25.4±4.0 Kg/m(2) and the mean score of Epworth questionnaire was 8±5. The AHI of the first, second and third nights were 13.96±13.46, 13.76±12.76 and 13.52±12.91 events/h, respectively. The night-to-night variability in the AHI and the sleep time in supine position over the three nights were not statistically significant. However, the differences in the severity of the OSA was statistically significant (range of agreement in the diagnosis: 41.7%-83.3%). The standard error of measurement (SEM) considering the AHI was 4.64 events/h.. The SEM was efficient in predicting the most frequent OSA severity (among the three nights) in more than 96% of the cases. CONCLUSIONS: The night-to-night variability in the AHI might affect the diagnosis of OSA. The use of standard error of measurement and the AHI of one single night would be of interest to predict the night-to-night variability in the severity of OSA. Brazilian Association of Sleep and Latin American Federation of Sleep 2019 /pmc/articles/PMC6922552/ /pubmed/31879538 http://dx.doi.org/10.5935/1984-0063.20190063 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivative License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited and the work is not changed in any way.
spellingShingle Original Article
Anitua, Eduardo
Duran-Cantolla, Joaquin
Almeida, Gabriela Zamora
Alkhraisat, Mohammad Hamdan
Predicting the night-to-night variability in the severity of obstructive sleep apnea: the case of the standard error of measurement
title Predicting the night-to-night variability in the severity of obstructive sleep apnea: the case of the standard error of measurement
title_full Predicting the night-to-night variability in the severity of obstructive sleep apnea: the case of the standard error of measurement
title_fullStr Predicting the night-to-night variability in the severity of obstructive sleep apnea: the case of the standard error of measurement
title_full_unstemmed Predicting the night-to-night variability in the severity of obstructive sleep apnea: the case of the standard error of measurement
title_short Predicting the night-to-night variability in the severity of obstructive sleep apnea: the case of the standard error of measurement
title_sort predicting the night-to-night variability in the severity of obstructive sleep apnea: the case of the standard error of measurement
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6922552/
https://www.ncbi.nlm.nih.gov/pubmed/31879538
http://dx.doi.org/10.5935/1984-0063.20190063
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