Inter-observer agreement on apnoea hypopnoea index using portable monitoring of respiratory parameters.
Détails
Télécharger: 17990154.pdf (299.69 [Ko])
Etat: Public
Version: Final published version
Etat: Public
Version: Final published version
ID Serval
serval:BIB_769C5B8C7117
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Inter-observer agreement on apnoea hypopnoea index using portable monitoring of respiratory parameters.
Périodique
Swiss medical weekly
ISSN
1424-7860 (Print)
ISSN-L
0036-7672
Statut éditorial
Publié
Date de publication
03/11/2007
Peer-reviewed
Oui
Volume
137
Numéro
43-44
Pages
602-607
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Résumé
Although portable polygraphy or portable monitoring of respiratory parameters (PM) is commonly used to confirm obstructive sleep apnoea syndrome, agreement on apnoea hypopnoea index (AHI), the main measure of disease severity, has not been evaluated. The aim of this study was to assess the agreement on AHI among multiple observers as well as between individual observers and automated analysis.
A total of 88 ambulatory sleep recordings ("Embletta") were independently scored by 8 physicians (observers). Agreement on AHI, using intraclass correlation coefficient (ICC), was measured among observers. Bland Altman plots were built to compare individual observers with PM.
Among observers, ICCs were .73 for agreement on AHI, .71 for hypopnoea index and .98 for desaturation index. Compared to visual analysis, automated analysis underestimated AHI by 5.1 events on average. When comparing individual observers with automated analysis, systematic bias varied from -1. to +1 .5 events/h on AHI.
Among observers who used PM in a clinical setting, agreement on AHI was limited. When automated and individual visual analyses were compared, the systematic bias varied from almost zero to values sufficient to affect clinical diagnosis. Much of the discordance was due to different counts of hypopnoea, whereas agreement on apnoea and desaturation index was better. Efforts should be directed towards standardisation of visual analysis, improvement and quality control of ambulatory sleep studies.
A total of 88 ambulatory sleep recordings ("Embletta") were independently scored by 8 physicians (observers). Agreement on AHI, using intraclass correlation coefficient (ICC), was measured among observers. Bland Altman plots were built to compare individual observers with PM.
Among observers, ICCs were .73 for agreement on AHI, .71 for hypopnoea index and .98 for desaturation index. Compared to visual analysis, automated analysis underestimated AHI by 5.1 events on average. When comparing individual observers with automated analysis, systematic bias varied from -1. to +1 .5 events/h on AHI.
Among observers who used PM in a clinical setting, agreement on AHI was limited. When automated and individual visual analyses were compared, the systematic bias varied from almost zero to values sufficient to affect clinical diagnosis. Much of the discordance was due to different counts of hypopnoea, whereas agreement on apnoea and desaturation index was better. Efforts should be directed towards standardisation of visual analysis, improvement and quality control of ambulatory sleep studies.
Mots-clé
Diagnostic Techniques, Respiratory System/standards, Diagnostic Techniques, Respiratory System/statistics & numerical data, Evaluation Studies as Topic, Humans, Hypoventilation/diagnosis, Monitoring, Ambulatory/standards, Monitoring, Ambulatory/statistics & numerical data, Observer Variation, Oximetry/standards, Oximetry/statistics & numerical data, Polysomnography/standards, Polysomnography/statistics & numerical data, Reproducibility of Results, Respiration Disorders/diagnosis, Severity of Illness Index, Sleep Apnea Syndromes/diagnosis, Sleep Apnea, Obstructive/diagnosis, Surveys and Questionnaires
Pubmed
Web of science
Création de la notice
25/01/2008 9:43
Dernière modification de la notice
20/08/2019 14:33