Literature DB >> 14592253

Scoring variability between polysomnography technologists in different sleep laboratories.

Nancy A Collop1.   

Abstract

OBJECTIVE: Examine the variability of polysomnography technologists from different sleep laboratories regarding scoring of polysomnograms.
BACKGROUND: Polysomnography is the gold standard to diagnose obstructive sleep apnea-hypopnea syndrome. There are criteria to score sleep stages and respiratory events. We sought to determine how different technologists would score the same tests using their laboratory's criteria.
METHODS: Eleven technologists in nine different sleep laboratories which used the Oxford Medilog SAC system scored eleven sleep studies performed in the Medical University of South Carolina Sleep Disorders Laboratory utilizing their respective laboratory's scoring rules. All sleep studies were performed for evaluation of obstructive sleep apnea-hypopnea syndrome (OSAHS). The scored studies were returned and analyzed for variability.
RESULTS: Significant variability was present in scoring of both sleep and respiratory events with more variability demonstrated in respiratory event scoring. In four of the studies, diagnoses based on apnea-hypopnea indices (AHI) varied from none to moderate OSAHS depending on which technologist scored the study and in one study the diagnosis varied from none to severe OSAHS.
CONCLUSIONS: Clinicians should be aware that there is tremendous variability among polysomnography technologists regarding the scoring of polysomnograms. These differences are likely due to different rules used to score events as well as differences in the technologist's interpretation of the rules.

Entities:  

Year:  2002        PMID: 14592253     DOI: 10.1016/s1389-9457(01)00115-0

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  31 in total

1.  Perioperative practical experiences in using a level 2 portable polysomnography.

Authors:  Frances Chung; Pu Liao; Yuming Sun; Babak Amirshahi; Hoda Fazel; Colin M Shapiro; Hisham Elsaid
Journal:  Sleep Breath       Date:  2010-03-16       Impact factor: 2.816

2.  A portable automated assessment tool for sleep apnea using a combined Holter-oximeter.

Authors:  Conor Heneghan; Chern-Pin Chua; John F Garvey; Philip de Chazal; Redmond Shouldice; Patricia Boyle; Walter T McNicholas
Journal:  Sleep       Date:  2008-10       Impact factor: 5.849

3.  Computer-Assisted Automated Scoring of Polysomnograms Using the Somnolyzer System.

Authors:  Naresh M Punjabi; Naima Shifa; Georg Dorffner; Susheel Patil; Grace Pien; Rashmi N Aurora
Journal:  Sleep       Date:  2015-10-01       Impact factor: 5.849

4.  Performance of a New Portable Wireless Sleep Monitor.

Authors:  Magdy Younes; Marc Soiferman; Wayne Thompson; Eleni Giannouli
Journal:  J Clin Sleep Med       Date:  2017-02-15       Impact factor: 4.062

5.  An Evaluation of the NightOwl Home Sleep Apnea Testing System.

Authors:  Frederik Massie; Duarte Mendes de Almeida; Pauline Dreesen; Inge Thijs; Julie Vranken; Susie Klerkx
Journal:  J Clin Sleep Med       Date:  2018-10-15       Impact factor: 4.062

6.  Performance of an automated polysomnography scoring system versus computer-assisted manual scoring.

Authors:  Atul Malhotra; Magdy Younes; Samuel T Kuna; Ruth Benca; Clete A Kushida; James Walsh; Alexandra Hanlon; Bethany Staley; Allan I Pack; Grace W Pien
Journal:  Sleep       Date:  2013-04-01       Impact factor: 5.849

7.  Sleep staging based on autonomic signals: a multi-center validation study.

Authors:  Jan Hedner; David P White; Atul Malhotra; Sarah Herscovici; Stephen D Pittman; Ding Zou; Ludger Grote; Giora Pillar
Journal:  J Clin Sleep Med       Date:  2011-06-15       Impact factor: 4.062

8.  Validation of the Sonomat: a contactless monitoring system used for the diagnosis of sleep disordered breathing.

Authors:  Mark B Norman; Sally Middleton; Odette Erskine; Peter G Middleton; John R Wheatley; Colin E Sullivan
Journal:  Sleep       Date:  2014-09-01       Impact factor: 5.849

9.  Staging Sleep in Polysomnograms: Analysis of Inter-Scorer Variability.

Authors:  Magdy Younes; Jill Raneri; Patrick Hanly
Journal:  J Clin Sleep Med       Date:  2016-06-15       Impact factor: 4.062

10.  Assessment of the test-retest reliability of laboratory polysomnography.

Authors:  Daniel J Levendowski; Nadene Zack; Srini Rao; Keith Wong; Michael Gendreau; Jay Kranzler; Timothy Zavora; Philip R Westbrook
Journal:  Sleep Breath       Date:  2008-09-03       Impact factor: 2.816

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