Literature DB >> 19201709

Diagnosis of obstructive sleep apnea syndrome and its outcomes with home portable monitoring.

Ana Claudia Tonelli de Oliveira1, Denis Martinez2, Luiz Felipe T Vasconcelos1, Sandro Cadaval Gonçalves1, Maria do Carmo Lenz3, Sandra Costa Fuchs4, Miguel Gus5, Erlon Oliveira de Abreu-Silva6, Leila Beltrami Moreira7, Flávio Danni Fuchs5.   

Abstract

BACKGROUND: The use of portable respiratory monitoring (PM) has been proposed for the diagnosis of obstructive sleep apnea syndrome (OSAS), but most studies that validate PM accuracy have not followed the best standards for diagnostic test validation. The objective of the present study was to evaluate the accuracy of PM performed at home to diagnose OSAS and its outcomes after first validating PM in the laboratory setting by comparing it to polysomnography (PSG).
METHODS: Patients with suspected OSAS were submitted, in random order, to PM at the sleep laboratory concurrently with PSG (lab-PM) or at home-PM. The diagnostic performance was assessed by sensitivity, specificity, positive and negative predictive values, positive likelihood ratio (+LR), negative likelihood ratio (-LR), intraclass correlation coefficients, kappa statistic, and Bland-Altman plot.
RESULTS: One hundred fifty-seven subjects (73% men, mean age +/- SD, 45 +/- 12 yr) with an apnea-hypopnea index (AHI) of 31 (SD +/- 29) events/h were studied. Excluding inadequate recordings, 149 valid comparisons with lab-PM and 121 with unattended home-PM were obtained. Compared to PSG for detecting AHI > 5, the lab-PM demonstrated sensitivity of 95.3%, specificity of 75%, +LR of 3.8, and -LR of 0.11; the home-PM exhibited sensitivity of 96%, specificity of 64%, +LR of 2.7, and -LR of 0.05. Kappa statistics indicated substantial correlation between PSG and PM results. Bland-Altman plot showed smaller dispersion for lab-PM than for home-PM. Pearson product moment correlation coefficients among the three AHIs and clinical outcomes were similar, denoting comparable diagnostic ability.
CONCLUSIONS: This study used all available comparison methods to demonstrate accuracy of PM in-home recordings similar to that of repeated PSGs. PM increases the possibility of correctly diagnosing and effectively treating OSAS in populations worldwide.

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Year:  2009        PMID: 19201709     DOI: 10.1378/chest.08-1859

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  42 in total

1.  Validation of ECG-derived sleep architecture and ventilation in sleep apnea and chronic fatigue syndrome.

Authors:  Michael J Decker; Shulamit Eyal; Zvika Shinar; Yair Fuxman; Clement Cahan; William C Reeves; Anda Baharav
Journal:  Sleep Breath       Date:  2009-10-09       Impact factor: 2.816

2.  Diagnosis of snoring and obstructive sleep apnea: a review of the accuracy.

Authors: 
Journal:  CADTH Technol Overv       Date:  2010-03-01

Review 3.  Methodological strategies in using home sleep apnea testing in research and practice.

Authors:  Jennifer N Miller; Paula Schulz; Bunny Pozehl; Douglas Fiedler; Alissa Fial; Ann M Berger
Journal:  Sleep Breath       Date:  2017-11-14       Impact factor: 2.816

4.  Validation of a new unattended sleep apnea monitor using two methods for the identification of hypopneas.

Authors:  Zbigniew L Topor; John E Remmers; Joshua Grosse; Erin V Mosca; Seyed A Zareian Jahromi; Yingyu Zhu; Sabina Bruehlmann
Journal:  J Clin Sleep Med       Date:  2020-02-06       Impact factor: 4.062

5.  Diagnostic accuracy of home-based monitoring system in morbidly obese patients with high risk for sleep apnea.

Authors:  Márcia G Oliveira; Erika C Treptow; Cesar Fukuda; Luiz E Nery; Rosana M Valadares; Sérgio Tufik; Lia Bittencourt; Sonia M Togeiro
Journal:  Obes Surg       Date:  2015-05       Impact factor: 4.129

6.  Effect of Manual Editing of Total Recording Time: Implications for Home Sleep Apnea Testing.

Authors:  Ying Y Zhao; Jia Weng; Daniel R Mobley; Rui Wang; Younghoon Kwon; Phyllis C Zee; Pamela L Lutsey; Susan Redline
Journal:  J Clin Sleep Med       Date:  2017-01-15       Impact factor: 4.062

7.  Cognitive function and sleep related breathing disorders in a healthy elderly population: the SYNAPSE study.

Authors:  Emilia Sforza; Frédéric Roche; Catherine Thomas-Anterion; Judith Kerleroux; Olivier Beauchet; Sébastien Celle; Delphine Maudoux; Vincent Pichot; Bernard Laurent; Jean Claude Barthélémy
Journal:  Sleep       Date:  2010-04       Impact factor: 5.849

8.  Validity of sheet-type portable monitoring device for screening obstructive sleep apnea syndrome.

Authors:  Mina Kobayashi; Kazuyoshi Namba; Satoru Tsuiki; Masaki Nakamura; Masamichi Hayashi; Yuuki Mieno; Hiromi Imizu; Shiho Fujita; Atsushi Yoshikawa; Hiroki Sakakibara; Yuichi Inoue
Journal:  Sleep Breath       Date:  2012-06-16       Impact factor: 2.816

Review 9.  Diagnostic accuracy of level 3 portable sleep tests versus level 1 polysomnography for sleep-disordered breathing: a systematic review and meta-analysis.

Authors:  Mohamed El Shayeb; Leigh-Ann Topfer; Tania Stafinski; Lawrence Pawluk; Devidas Menon
Journal:  CMAJ       Date:  2013-11-11       Impact factor: 8.262

10.  Influence of sleep apnea severity on blood pressure variability of patients with hypertension.

Authors:  Ana P Steinhorst; Sandro C Gonçalves; Ana T Oliveira; Daniela Massierer; Miguel Gus; Sandra C Fuchs; Leila B Moreira; Denis Martinez; Flávio D Fuchs
Journal:  Sleep Breath       Date:  2013-10-03       Impact factor: 2.816

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