Literature DB >> 20505219

Comparability of pulse oximeters used in sleep medicine for the screening of OSA.

N Böhning1, B Schultheiss, S Eilers, T Penzel, W Böhning, E Schmittendorf.   

Abstract

Obstructive sleep apnea syndrome (OSA) is a frequent clinical picture. It is characterized by repetitive respiratory arrest with a consecutive decrease in arterial oxygen saturation (SaO(2)). In clinical practice, the number of desaturations per hour, oxygen desaturation index (ODI), is used as an important diagnostic criterion. Medical literature, however, mentions different threshold values that are defined as pathological. By means of systematic comparative measurements, the study presented here will examine to what extent the diagnosis and the quantification of OSA severity are affected by the device-specific measurement technique, thus impacting the predictive value of nighttime pulse oximetry in outpatient OSA screening. Different pulse oximeters commonly used in clinical practice were analyzed comparatively regarding technical parameters, temporal dynamics and the reproducibility of measuring results. The measurements were executed simultaneously and time synchronized in a reference group of five test subjects (four males, one female, average age 33.0 +/- 9.4 years), in a group of five patients (all males, average age 51.8 +/- 18.4 years) and using a simulator (pulse oximeter simulator index 2). All devices underestimate the simulator's predetermined oxygen desaturation of 10%. The dispersion of values is high. The device-specific characteristics have a significant influence on the collected data. The fundamental weakness of the systems lies in the reproducibility of measuring results (this only seems adequate at a signal resolution in steps of 0.1%) as well as the differing temporal dynamics. In the synchronous use of different systems on patients for the purpose of a direct comparison of devices, the dispersion of values is serious, reaching a fluctuation range of up to factor 1.42. In measuring dynamic events (apneas), different pulse oximeters do not record identical values. This is due to the different internal signal processing of the devices. Without prior knowledge of the pulse oximeter used and the chosen device settings, meaningful interpretation of the measured desaturations is, therefore, ambiguous. Accordingly, different devices require different threshold values in determining the ODI. Standardized technical parameters and the standardization of signal processing are imperative for outpatient screening of sleep-related breathing disorders (SRBD) via pulse oximetry.

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Year:  2010        PMID: 20505219     DOI: 10.1088/0967-3334/31/7/001

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  12 in total

1.  Oximetry as an Accurate Tool for Identifying Moderate to Severe Sleep Apnea in Patients With Acute Stroke.

Authors:  Shih Hao Lin; Chantale Branson; Jamie Leung; Lisa Park; Nirmita Doshi; Sanford H Auerbach
Journal:  J Clin Sleep Med       Date:  2018-12-15       Impact factor: 4.062

2.  Nocturnal Oximetry-based Evaluation of Habitually Snoring Children.

Authors:  Roberto Hornero; Leila Kheirandish-Gozal; Gonzalo C Gutiérrez-Tobal; Mona F Philby; María Luz Alonso-Álvarez; Daniel Álvarez; Ehab A Dayyat; Zhifei Xu; Yu-Shu Huang; Maximiliano Tamae Kakazu; Albert M Li; Annelies Van Eyck; Pablo E Brockmann; Zarmina Ehsan; Narong Simakajornboon; Athanasios G Kaditis; Fernando Vaquerizo-Villar; Andrea Crespo Sedano; Oscar Sans Capdevila; Magnus von Lukowicz; Joaquín Terán-Santos; Félix Del Campo; Christian F Poets; Rosario Ferreira; Katalina Bertran; Yamei Zhang; John Schuen; Stijn Verhulst; David Gozal
Journal:  Am J Respir Crit Care Med       Date:  2017-12-15       Impact factor: 21.405

3.  Oxygen Desaturation Index Differs Significantly Between Types of Sleep Software.

Authors:  Yvonne Ng; Simon A Joosten; Bradley A Edwards; Anthony Turton; Helen Romios; Thilini Samarasinghe; Shane Landry; Darren R Mansfield; Garun S Hamilton
Journal:  J Clin Sleep Med       Date:  2017-04-15       Impact factor: 4.062

4.  Effects of obstructive sleep apnea on serum brain-derived neurotrophic factor protein, cortisol, and lipid levels.

Authors:  Busarakumtragul Panaree; Mekseepralard Chantana; Sukhumsirichart Wasana; Neruntarat Chairat
Journal:  Sleep Breath       Date:  2010-09-24       Impact factor: 2.816

5.  Automated Screening of Children With Obstructive Sleep Apnea Using Nocturnal Oximetry: An Alternative to Respiratory Polygraphy in Unattended Settings.

Authors:  Daniel Álvarez; María L Alonso-Álvarez; Gonzalo C Gutiérrez-Tobal; Andrea Crespo; Leila Kheirandish-Gozal; Roberto Hornero; David Gozal; Joaquín Terán-Santos; Félix Del Campo
Journal:  J Clin Sleep Med       Date:  2017-05-15       Impact factor: 4.062

6.  Use of oximetry as a screening tool for obstructive sleep apnea: a case study in Taiwan.

Authors:  Shou-Hung Huang; Nai-Chia Teng; Kung-Jeng Wang; Kun-Huang Chen; Hsin-Chien Lee; Pa-Chun Wang
Journal:  J Med Syst       Date:  2015-02-13       Impact factor: 4.460

7.  A novel, simple, and accurate pulse oximetry indicator for screening adult obstructive sleep apnea.

Authors:  Carlos Alberto Nigro; Gonzalo Castaño; Ignacio Bledel; Alfredo Colombi; María Cecilia Zicari
Journal:  Sleep Breath       Date:  2021-09-23       Impact factor: 2.655

Review 8.  Diagnostic approaches to respiratory sleep disorders.

Authors:  Renata L Riha
Journal:  J Thorac Dis       Date:  2015-08       Impact factor: 2.895

9.  Type III home sleep testing versus pulse oximetry: is the respiratory disturbance index better than the oxygen desaturation index to predict the apnoea-hypopnoea index measured during laboratory polysomnography?

Authors:  Arthur Dawson; Richard T Loving; Robert M Gordon; Susan L Abel; Derek Loewy; Daniel F Kripke; Lawrence E Kline
Journal:  BMJ Open       Date:  2015-06-30       Impact factor: 2.692

10.  Automated sleep apnea quantification based on respiratory movement.

Authors:  M T Bianchi; T Lipoma; C Darling; Y Alameddine; M B Westover
Journal:  Int J Med Sci       Date:  2014-05-30       Impact factor: 3.738

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