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 (AHI ) and oxygen desaturation index (ODI ) 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 AHI and ODI . 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 and neck circumference was 37.4 ± 3.9 cm. The median AHI was 5 (inter-quartile range 2, 10) and median ODI was 9 (inter-quartile range 4, 15). The obstructive sleep apnoea prevalence reported using AHI was significantly lower than that reported using ODI at all severity thresholds. Although 90% of those with moderate-severe obstructive sleep apnoea classified using AHI were identified by using ODI , only 46% of those with moderate-severe obstructive sleep apnoea classified using ODI were identified by AHI . The overall concordance between AHI and ODI 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, ODI and AHI from type-4 sleep studies are at least moderately discordant. Until further evidence is available, the use of ODI as the measure of choice for type-4 sleep studies is recommended cautiously.

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http://dx.doi.org/10.1111/jsr.12804DOI Listing

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