{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T12:35:33Z","timestamp":1753878933322,"version":"3.41.2"},"reference-count":40,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2018,12,18]],"date-time":"2018-12-18T00:00:00Z","timestamp":1545091200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"publisher","award":["299901"],"award-info":[{"award-number":["299901"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sleep Research"],"published-print":{"date-parts":[[2019,10]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>The concordance of different indices from type\u20104 sleep studies in diagnosing and categorising the severity of obstructive sleep apnoea is not known. This is a critical gap as type\u20104 sleep studies are used to diagnose <jats:styled-content style=\"fixed-case\">obstructive sleep apnoea<\/jats:styled-content> in some settings. Therefore, we aimed to determine the concordance between flow\u2010based apnoea\u2013hypopnoea index (<jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content><jats:sub>flow50%<\/jats:sub>) and oxygen desaturation index (<jats:styled-content style=\"fixed-case\">ODI<\/jats:styled-content><jats:sub>3%<\/jats:sub>) by measuring them concurrently. Using a random sub\u2010sample of 296 from a population\u2010based cohort who underwent two\u2010channel type\u20104 sleep studies, we assessed the concordance between <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content><jats:sub>flow50%<\/jats:sub> and <jats:styled-content style=\"fixed-case\">ODI<\/jats:styled-content><jats:sub>3%<\/jats:sub>. We compared the prevalence of <jats:styled-content style=\"fixed-case\">obstructive sleep apnoea<\/jats:styled-content> of various severities as identified by the two methods, and determined their concordance using coefficient Kappa(\u03ba). Participants were aged (mean\u2005\u00b1\u2005SD) 53\u2005\u00b1\u20050.9\u2005years (48% male). The body mass index was 28.8\u2005\u00b1\u20055.2\u2005kg\u2005m<jats:sup>\u22122<\/jats:sup> and neck circumference was 37.4\u2005\u00b1\u20053.9\u2005cm. The median <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content><jats:sub>flow50%<\/jats:sub> was 5 (inter\u2010quartile range 2, 10) and median <jats:styled-content style=\"fixed-case\">ODI<\/jats:styled-content><jats:sub>3%<\/jats:sub> was 9 (inter\u2010quartile range 4, 15). The o<jats:styled-content style=\"fixed-case\">bstructive sleep apnoea<\/jats:styled-content> prevalence reported using <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content><jats:sub>flow50%<\/jats:sub> was significantly lower than that reported using <jats:styled-content style=\"fixed-case\">ODI<\/jats:styled-content><jats:sub>3%<\/jats:sub> at all severity thresholds. Although 90% of those with moderate\u2013severe <jats:styled-content style=\"fixed-case\">obstructive sleep apnoea<\/jats:styled-content> classified using <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content><jats:sub>flow50%<\/jats:sub> were identified by using <jats:styled-content style=\"fixed-case\">ODI<\/jats:styled-content><jats:sub>3%<\/jats:sub>, only 46% of those with moderate\u2013severe <jats:styled-content style=\"fixed-case\">obstructive sleep apnoea<\/jats:styled-content> classified using <jats:styled-content style=\"fixed-case\">ODI<\/jats:styled-content><jats:sub>3%<\/jats:sub> were identified by <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content><jats:sub>flow50%<\/jats:sub>. The overall concordance between <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content><jats:sub>flow50%<\/jats:sub> and <jats:styled-content style=\"fixed-case\">ODI<\/jats:styled-content><jats:sub>3%<\/jats:sub> in diagnosing and classifying the severity of <jats:styled-content style=\"fixed-case\">obstructive sleep apnoea<\/jats:styled-content> was only fair (\u03ba\u2005=\u20050.32), better for males (\u03ba\u2005=\u20050.42 [95% confidence interval 0.32\u20130.57] versus 0.22 [95% confidence interval 0.09\u20130.31]), and lowest for those with a body mass index\u00a0\u2265\u200535 (\u03ba\u2005=\u20050.11). In conclusion, <jats:styled-content style=\"fixed-case\">ODI<\/jats:styled-content><jats:sub>3%<\/jats:sub> and <jats:styled-content style=\"fixed-case\">AHI<\/jats:styled-content><jats:sub>flow50%<\/jats:sub> from type\u20104 sleep studies are at least moderately discordant. Until further evidence is available, the use of <jats:styled-content style=\"fixed-case\">ODI<\/jats:styled-content><jats:sub>3%<\/jats:sub> as the measure of choice for type\u20104 sleep studies is recommended cautiously.<\/jats:p>","DOI":"10.1111\/jsr.12804","type":"journal-article","created":{"date-parts":[[2018,12,19]],"date-time":"2018-12-19T06:39:50Z","timestamp":1545201590000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Comparison of apnoea\u2013hypopnoea index and oxygen desaturation index when identifying obstructive sleep apnoea using type\u20104 sleep studies"],"prefix":"10.1111","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5879-6174","authenticated-orcid":false,"given":"Chamara V.","family":"Senaratna","sequence":"first","affiliation":[{"name":"Allergy &amp; Lung Health Melbourne School of Population &amp; Global Health The University of Melbourne Melbourne Australia"},{"name":"University of Sri Jayewardenepura Nugegoda Sri Lanka"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adrian","family":"Lowe","sequence":"additional","affiliation":[{"name":"Allergy &amp; Lung Health Melbourne School of Population &amp; Global Health The University of Melbourne Melbourne Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer L.","family":"Perret","sequence":"additional","affiliation":[{"name":"Allergy &amp; Lung Health Melbourne School of Population &amp; Global Health The University of Melbourne Melbourne Australia"},{"name":"Institute for Breathing and Sleep (IBAS) Heidelberg\/Melbourne Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Caroline","family":"Lodge","sequence":"additional","affiliation":[{"name":"Allergy &amp; Lung Health Melbourne School of Population &amp; Global Health The University of Melbourne Melbourne Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gayan","family":"Bowatte","sequence":"additional","affiliation":[{"name":"Allergy &amp; Lung Health Melbourne School of Population &amp; Global Health The University of Melbourne Melbourne Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael J.","family":"Abramson","sequence":"additional","affiliation":[{"name":"School of Public Health &amp; Preventive Medicine Monash University Melbourne Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruce R.","family":"Thompson","sequence":"additional","affiliation":[{"name":"Department of Respiratory Medicine Alfred Health Central Clinical School Monash University Melbourne Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Garun","family":"Hamilton","sequence":"additional","affiliation":[{"name":"School of Clinical Sciences Monash University Clayton Australia"},{"name":"Department of Lung and Sleep Monash Health Clayton Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shyamali C.","family":"Dharmage","sequence":"additional","affiliation":[{"name":"Allergy &amp; Lung Health Melbourne School of Population &amp; Global Health The University of Melbourne Melbourne Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,12,18]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"crossref","first-page":"263","DOI":"10.5664\/jcsm.27497","article-title":"Adult Obstructive Sleep Apnea Task Force of the American Academy of Sleep Medicine clinical guideline for the evaluation, management and long\u2010term care of obstructive sleep apnea in adults","volume":"5","author":"Adult Obstructive Sleep Apnea Task Force of the American Academy of Sleep Medicine","year":"2009","journal-title":"Journal of Clinical Sleep Medicine"},{"doi-asserted-by":"publisher","key":"e_1_2_8_3_1","DOI":"10.1093\/sleep\/22.5.667"},{"doi-asserted-by":"publisher","key":"e_1_2_8_4_1","DOI":"10.1164\/rccm.200810-1558OC"},{"doi-asserted-by":"publisher","key":"e_1_2_8_5_1","DOI":"10.1093\/sleep\/27.6.1171"},{"doi-asserted-by":"publisher","key":"e_1_2_8_6_1","DOI":"10.1016\/j.sleep.2004.08.005"},{"doi-asserted-by":"publisher","key":"e_1_2_8_7_1","DOI":"10.1016\/j.jsmc.2011.05.002"},{"volume-title":"The AASM manual for the scoring of sleep and associated events: Rules, terminology and technical specifications","year":"2012","author":"Berry R. 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