{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T09:54:20Z","timestamp":1790934860108,"version":"4.1.0"},"reference-count":26,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Otolaryngology"],"published-print":{"date-parts":[[2026,11]]},"abstract":"ABSTRACT<\/jats:title>\n \n Introduction<\/jats:title>\n Obstructive sleep apnea (OSA) is a potential contributor to vestibular dysfunction, though specific correlating parameters remain unclear. This study aimed to determine whether hypoxemia severity indices correlate quantitatively with caloric slow\u2010phase eye velocity (SPV), a marker of vestibular function.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n In a retrospective cohort of 82 adults undergoing both full\u2010night PSG and bithermal caloric testing, the primary outcome was total caloric SPV (\u00b0\/s; sum of four irrigations). Fifteen prespecified predictors were evaluated, including hypoxemia burden (apnea\u2013hypopnea index [AHI], oxygen desaturation index [ODI], cumulative time with SpO\n 2<\/jats:sub>\n \u2009<\u200990% [CT90], nadir SpO\n 2<\/jats:sub>\n ), sleep fragmentation (total arousal index), sleep architecture (N1, N2, N3, rapid eye movement [REM] proportions and sleep efficiency) and ancillary measures (snoring index, pulse rate, age, sex and body mass index [BMI]). Unadjusted associations were calculated using Pearson's correlations. For adjusted inference, ordinary least squares with backward Akaike information criterion (AIC) reduction were employed. Feature importance was quantified without prespecifying functional form by training a random\u2010forest regressor and computing TreeSHAP values.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n SPV was inversely correlated with AHI (\n r<\/jats:italic>\n \u2009=\u2009\u22120.295,\n p<\/jats:italic>\n \u2009=\u20090.007), ODI (\n r<\/jats:italic>\n \u2009=\u2009\u22120.261,\n p<\/jats:italic>\n \u2009=\u20090.018) and CT90 (\n r<\/jats:italic>\n \u2009=\u2009\u22120.254,\n p<\/jats:italic>\n \u2009=\u20090.021). Sleep efficiency, snoring index, pulse rate, nadir SpO\n 2<\/jats:sub>\n , and sleep stage proportions showed no significant associations. In the adjusted linear model, AHI and sex were retained; each 10\u2010event\/h AHI increase corresponded to a 3.16\u00b0\/s lower SPV (95% CI: \u22126.05 to \u22120.28;\n p<\/jats:italic>\n \u2009=\u20090.032). The random forest model achieved a pooled fivefold\n R<\/jats:italic>\n 2<\/jats:sup>\n of 0.065, indicating low explained variance. Regarding mean absolute SHAP values, hypoxemia\u2010domain metrics ranked highest (ODI, AHI, CT90), followed by BMI, while other features had minimal impact.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n \n Nocturnal hypoxemia burden\u2014reflecting the frequency and cumulative duration of oxygen desaturation\u2014emerged as the principal predictor of reduced caloric SPV in patients with OSA. While the low explained variance of our models (\n R<\/jats:italic>\n 2<\/jats:sup>\n \u2009=\u20090.065) suggests these associations should be viewed as hypothesis\u2010generating, the findings support prioritising desaturation assessment in clinical settings. Further longitudinal research is essential to verify whether reducing hypoxemia leads to improved vestibular outcomes.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/coa.70146","type":"journal-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T12:08:39Z","timestamp":1784117319000},"page":"894-901","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Nocturnal Hypoxemia Burden Correlates With Vestibular Dysfunction in Obstructive Sleep Apnea"],"prefix":"10.1111","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5196-8482","authenticated-orcid":false,"given":"Dachan","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Otorhinolaryngology Yonsei University College of Medicine Seoul Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seong Hoon","family":"Bae","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology Gangnam Severance Hospital, Yonsei University College of Medicine Seoul Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2851-3225","authenticated-orcid":false,"given":"Hyung\u2010Ju","family":"Cho","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology Yonsei University College of Medicine Seoul Korea"},{"name":"The Airway Mucus Institute, Yonsei University College of Medicine, Severance Hospital Seoul Korea"},{"name":"Graduate School of Medical Science, Brain Korea 21 Project Yonsei University College of Medicine Seoul Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,15]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1378\/chest.07-0040"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-2600(12)70051-6"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1513\/AnnalsATS.202205-380ST"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm12123935"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.smrv.2014.07.003"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.35755\/jmedassocthai.2022.03.13278"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sleep.2024.12.014"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s43163-020-00059-5"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.21037\/apm-22-718"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2022.819721"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00405-019-05654-8"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00405-014-3294-x"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0252844"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.3233\/VES-210012"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1378\/chest.14-0500"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.21037\/jtd.2019.12.55"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejcdt.2012.10.024"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms25031852"},{"key":"e_1_2_11_20_1","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/zsx106"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.5664\/jcsm.5786"},{"key":"e_1_2_11_22_1","doi-asserted-by":"publisher","DOI":"10.3988\/jcn.2016.12.3.301"},{"key":"e_1_2_11_23_1","doi-asserted-by":"publisher","DOI":"10.1590\/S1808-86942012000400022"},{"key":"e_1_2_11_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0194-59980070007-6"},{"key":"e_1_2_11_25_1","doi-asserted-by":"publisher","DOI":"10.53350\/pjmhs22165156"},{"key":"e_1_2_11_26_1","doi-asserted-by":"publisher","DOI":"10.5152\/tao.2018.3025"},{"key":"e_1_2_11_27_1","doi-asserted-by":"publisher","DOI":"10.3233\/VES-170619"}],"container-title":["Clinical 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