Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/28138
Title: Comparison of apnoea-hypopnoea index and oxygen desaturation index when identifying obstructive sleep apnoea using type-4 sleep studies.
Austin Authors: Senaratna, Chamara V;Lowe, Adrian;Perret, Jennifer L ;Lodge, Caroline;Bowatte, Gayan;Abramson, Michael J;Thompson, Bruce R;Hamilton, Garun;Dharmage, Shyamali C
Affiliation: Institute for Breathing and Sleep
School of Clinical Sciences, Monash University, Clayton, Australia
Department of Lung and Sleep, Monash Health, Clayton, Australia
University of Sri Jayewardenepura, Nugegoda, Sri Lanka..
Allergy & Lung Health, Melbourne School of Population & Global Health, The University of Melbourne, Melbourne, Australia
Department of Respiratory Medicine, Alfred Health, Central Clinical School, Monash University, Melbourne, Australia
School of Public Health & Preventive Medicine, Monash University, Melbourne, Australia
Issue Date: Oct-2019
Date: 2018-12-18
Publication information: Journal of sleep research 2019; 28(5): e12804
Abstract: The concordance of different indices from type-4 sleep studies in diagnosing and categorising the severity of obstructive sleep apnoea is not known. This is a critical gap as type-4 sleep studies are used to diagnose obstructive sleep apnoea in some settings. Therefore, we aimed to determine the concordance between flow-based apnoea-hypopnoea index (AHIflow50% ) and oxygen desaturation index (ODI3% ) by measuring them concurrently. Using a random sub-sample of 296 from a population-based cohort who underwent two-channel type-4 sleep studies, we assessed the concordance between AHIflow50% and ODI3% . We compared the prevalence of obstructive sleep apnoea of various severities as identified by the two methods, and determined their concordance using coefficient Kappa(κ). Participants were aged (mean ± SD) 53 ± 0.9 years (48% male). The body mass index was 28.8 ± 5.2 kg m-2 and neck circumference was 37.4 ± 3.9 cm. The median AHIflow50% was 5 (inter-quartile range 2, 10) and median ODI3% was 9 (inter-quartile range 4, 15). The obstructive sleep apnoea prevalence reported using AHIflow50% was significantly lower than that reported using ODI3% at all severity thresholds. Although 90% of those with moderate-severe obstructive sleep apnoea classified using AHIflow50% were identified by using ODI3% , only 46% of those with moderate-severe obstructive sleep apnoea classified using ODI3% were identified by AHIflow50% . The overall concordance between AHIflow50% and ODI3% in diagnosing and classifying the severity of obstructive sleep apnoea was only fair (κ = 0.32), better for males (κ = 0.42 [95% confidence interval 0.32-0.57] versus 0.22 [95% confidence interval 0.09-0.31]), and lowest for those with a body mass index ≥ 35 (κ = 0.11). In conclusion, ODI3% and AHIflow50% from type-4 sleep studies are at least moderately discordant. Until further evidence is available, the use of ODI3% as the measure of choice for type-4 sleep studies is recommended cautiously.
URI: https://ahro.austin.org.au/austinjspui/handle/1/28138
DOI: 10.1111/jsr.12804
ORCID: 0000-0002-5879-6174
0000-0001-7034-0615
Journal: Journal of sleep research
PubMed URL: 30565351
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/30565351/
Type: Journal Article
Subjects: agreement
home sleep studies
home sleep-testing
oxygen desaturation index
portable
Appears in Collections:Journal articles

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