Literature DB >> 12162395

Measurement variability in sleep disorders medicine: the Victorian experience.

R L Manser1, P Rochford, M T Naughton, R J Pierce, A Sasse, H Teichtahl, M Ho, D A Campbell.   

Abstract

BACKGROUND: Surveys of laboratories in North America have documented significant diversity in the working definitions used for reporting respiratory events in sleep studies. AIM: To assess sources of variability in the measurement of sleep-disordered breathing (as defined by the Apnoea-Hypopnoea Index) between sleep laboratories in Victoria, Australia.
METHODS: A self-complete written questionnaire was constructed following literature review and interviews with staff at three separate sleep laboratories. The survey was sent to all laboratories listed in Victoria by the Australasian Sleep Association. The first part of the survey related to the type of equipment used to record sleep and other variables during overnight polysomnography and the second part related to the definitions and methods used to report results.
RESULTS: Seventeen out of 18 laboratories returned the surveys. There were variations identified in the types of sensors used to measure particular signals. There were also inconsistencies identified in the criteria used to score arousals, apnoeas and hypopnoeas by different laboratories. The variability was greatest for hypopnoea definitions.
CONCLUSIONS: There is considerable variation in the methods used to measure and define sleep-disordered breathing between sleep laboratories in Victoria. The extent to which these variations influence the comparability of reported results between laboratories requires further evaluation. The survey findings may assist the process of developing and implementing local guidelines for the performance and reporting of polysomnography.

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Year:  2002        PMID: 12162395     DOI: 10.1046/j.1445-5994.2002.00256.x

Source DB:  PubMed          Journal:  Intern Med J        ISSN: 1444-0903            Impact factor:   2.048


  5 in total

1.  Respiratory effort-related arousals contribute to sympathetic modulation of heart rate variability.

Authors:  Subani Chandra; Anthony L Sica; Janice Wang; Viera Lakticova; Harly E Greenberg
Journal:  Sleep Breath       Date:  2013-02-18       Impact factor: 2.816

2.  Effect of Three Hypopnea Scoring Criteria on OSA Prevalence and Associated Comorbidities in the General Population.

Authors:  Camila Hirotsu; Jose Haba-Rubio; Daniela Andries; Nadia Tobback; Pedro Marques-Vidal; Peter Vollenweider; Gérard Waeber; Raphael Heinzer
Journal:  J Clin Sleep Med       Date:  2019-02-15       Impact factor: 4.062

3.  The new AASM criteria for scoring hypopneas: impact on the apnea hypopnea index.

Authors:  Warren R Ruehland; Peter D Rochford; Fergal J O'Donoghue; Robert J Pierce; Parmjit Singh; Andrew T Thornton
Journal:  Sleep       Date:  2009-02       Impact factor: 5.849

Review 4.  The genetics of obstructive sleep apnoea.

Authors:  Sutapa Mukherjee; Richa Saxena; Lyle J Palmer
Journal:  Respirology       Date:  2017-11-07       Impact factor: 6.424

5.  Calibration Model for Apnea-Hypopnea Indices: Impact of Alternative Criteria for Hypopneas.

Authors:  Vu Ho; Ciprian M Crainiceanu; Naresh M Punjabi; Susan Redline; Daniel J Gottlieb
Journal:  Sleep       Date:  2015-12-01       Impact factor: 5.849

  5 in total

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