Literature DB >> 26511017

The diagnostic method has a strong influence on classification of obstructive sleep apnea.

Pierre Escourrou1, Ludger Grote2, Thomas Penzel3, Walter T Mcnicholas4, Johan Verbraecken5, Rosa Tkacova6, Renata L Riha7, Jan Hedner2.   

Abstract

Polygraphy (PG) and polysomnography (PSG) are used in clinical settings in Europe for diagnosing obstructive sleep apnea (OSA), but their equivalence in unselected clinical cohorts is unknown. We hypothesized that the method would affect both diagnostic outcomes and disease severity stratification. Data from 11 049 patients in the multi-centre European Sleep Apnea Cohort (ESADA) with suspected OSA (male and female, aged 18-80 years) were used in two groups of patients to compare PG (n = 5745) and PSG (n = 5304). Respiratory events were scored using the 2007 American Association of Sleep Medicine (AASM) criteria. In subjects who underwent PSG, mean apnea-hypopnea index (AHI) using sleep time (AHIPSG 31.0 ± 26.1 h(-1) ) and total analysed time (TAT) (AHITAT 24.7 ± 22.0 h(-1) ) were higher than in subjects who underwent PG (AHIPG 22.0 ± 23.5 h(-1) ) (P < 0.0001). The oxygen desaturation index (ODI) was lower in subjects investigated with PG (ODIPG 18.4 ± 21.7 h(-1) ) compared to subjects investigated with PSG (ODIPSG 23.0 ± 25.3 h(-1) ) but not different when the PSG was indexed by TAT (ODITAT 18.6 ± 21.4 h(-1) , P < 0.65). The proportion of patients with an AHI ≥ 15 was 64% in the subjects who underwent PSG and 47% in the subjects who underwent PG (P < 0.001). Overall, patients investigated using PG are likely to have a 30% lower AHI on average, compared to patients investigated by PSG. This study suggests that PG interpreted using standard guidelines results in underdiagnosis and misclassification of OSA. We advocate the development of PG-specific guidelines for the management of OSA patients.
© 2015 European Sleep Research Society.

Entities:  

Keywords:  guidelines; polygraphy; polysomnography

Mesh:

Year:  2015        PMID: 26511017     DOI: 10.1111/jsr.12318

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  29 in total

1.  Recognizable clinical subtypes of obstructive sleep apnea across international sleep centers: a cluster analysis.

Authors:  Brendan T Keenan; Jinyoung Kim; Bhajan Singh; Lia Bittencourt; Ning-Hung Chen; Peter A Cistulli; Ulysses J Magalang; Nigel McArdle; Jesse W Mindel; Bryndis Benediktsdottir; Erna Sif Arnardottir; Lisa Kristin Prochnow; Thomas Penzel; Bernd Sanner; Richard J Schwab; Chol Shin; Kate Sutherland; Sergio Tufik; Greg Maislin; Thorarinn Gislason; Allan I Pack
Journal:  Sleep       Date:  2018-03-01       Impact factor: 5.849

2.  Effects of sleep apnea and kidney dysfunction on objective sleep quality in nondialyzed patients with chronic kidney disease: an ESADA study.

Authors:  Oreste Marrone; Fabio Cibella; Gabriel Roisman; Pawel Sliwinski; Pavol Joppa; Ozen K Basoglu; Izolde Bouloukaki; Sophia Schiza; Athanasia Pataka; Richard Staats; Johan Verbraecken; Jan Hedner; Ludger Grote; Maria R Bonsignore
Journal:  J Clin Sleep Med       Date:  2020-09-15       Impact factor: 4.062

3.  The utility of home sleep apnea tests in patients with low versus high pre-test probability for moderate to severe OSA.

Authors:  Cathy A Goldstein; Hala Karnib; Katherine Williams; Zunaira Virk; Afifa Shamim-Uzzaman
Journal:  Sleep Breath       Date:  2017-11-22       Impact factor: 2.816

4.  Diagnostic criteria for obstructive sleep apnea: time for reappraisal.

Authors:  Walter T McNicholas
Journal:  J Thorac Dis       Date:  2018-01       Impact factor: 2.895

5.  Observation and Interview-based Diurnal Sleepiness Inventory for measurement of sleepiness in patients referred for narcolepsy or idiopathic hypersomnia.

Authors:  Laure Peter-Derex; Fabien Subtil; Guillaume Lemaitre; François Ricordeau; Hélène Bastuji; Agathe Bridoux; Fannie Onen; S-Hakki Onen
Journal:  J Clin Sleep Med       Date:  2020-09-15       Impact factor: 4.062

6.  Rationale and Design of the Turkish Sleep Apnea Database - TURKAPNE: A National, Multicenter, Observational, Prospective Cohort Study.

Authors:  Yüksel Peker; Özen K Başoğlu; Hikmet Fırat
Journal:  Turk Thorac J       Date:  2018-07-01

7.  High Adherence to CPAP Treatment Does Not Prevent the Continuation of Weight Gain among Severely Obese OSAS Patients.

Authors:  Minna Myllylä; Samu Kurki; Ulla Anttalainen; Tarja Saaresranta; Tarja Laitinen
Journal:  J Clin Sleep Med       Date:  2016-04-15       Impact factor: 4.062

8.  Mild obstructive sleep apnea increases hypertension risk, challenging traditional severity classification.

Authors:  Izolde Bouloukaki; Ludger Grote; Walter T McNicholas; Jan Hedner; Johan Verbraecken; Gianfranco Parati; Carolina Lombardi; Ozen K Basoglu; Athanasia Pataka; Oreste Marrone; Paschalis Steiropoulos; Marisa R Bonsignore; Sophia E Schiza
Journal:  J Clin Sleep Med       Date:  2020-06-15       Impact factor: 4.062

9.  Nondipping Nocturnal Blood Pressure Predicts Sleep Apnea in Patients With Hypertension.

Authors:  Sophie J Crinion; Silke Ryan; Jana Kleinerova; Brian D Kent; Joseph Gallagher; Mark Ledwidge; Kenneth McDonald; Walter T McNicholas
Journal:  J Clin Sleep Med       Date:  2019-07-15       Impact factor: 4.062

10.  The Impact of Empagliflozin on Obstructive Sleep Apnea and Cardiovascular and Renal Outcomes: An Exploratory Analysis of the EMPA-REG OUTCOME Trial.

Authors:  Ian J Neeland; Bjorn Eliasson; Takatoshi Kasai; Nikolaus Marx; Bernard Zinman; Silvio E Inzucchi; Christoph Wanner; Isabella Zwiener; Brian S Wojeck; Henry K Yaggi; Odd Erik Johansen
Journal:  Diabetes Care       Date:  2020-10-01       Impact factor: 19.112

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