{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T05:03:49Z","timestamp":1777957429798,"version":"3.51.4"},"reference-count":28,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T00:00:00Z","timestamp":1772668800000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"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 Respiratory J"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Obstructive sleep apnea (OSA) is not only associated with reduced work efficiency and an elevated risk of occupational accidents but also with hypertension, diabetes, and other lifestyle\u2010related diseases, making it an important occupational health concern. Conventional questionnaire\u2013based screening may fail to detect OSA because it frequently lacks subjective symptoms. Herein, we aimed to develop and validate a simple objective, questionnaire\u2010independent prediction model for severe OSA using periodic health examination (PHE) data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Following the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD), we analyzed the data of 671 patients who underwent overnight polysomnography (PSG) at Tohoku University Hospital. Eight predictors\u2014age group, sex, obesity, hypertension, diabetes mellitus, dyslipidemia, polycythemia, and liver dysfunction\u2014derived from routine PHE items\u2014were included in logistic regression models to predict severe OSA, defined as an apnea\u2013hypopnea index (AHI)\u2009\u2265\u200930 or a 3% oxygen desaturation index (ODI)\u2009\u2265\u200930. Internal validity was assessed using bootstrap samples. External validation was performed using overnight percutaneous oxygen saturation data of 100 university employees.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The areas under the receiver operating characteristic curve were 0.67 and 0.72 for the AHI\u2010 and ODI\u2010based models, respectively. The internal validity was generally acceptable. In external validation, the AHI model had a sensitivity and specificity of 1.00 and 0.95, respectively, while the ODI model exhibited values of 0.50 and 0.97, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We developed and validated two predictive models for severe OSA using the PHE data. These models could be used for screening by occupational physicians and clinicians.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/crj.70177","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T19:08:49Z","timestamp":1772996929000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Development and Validation of Prediction Models for Severe Obstructive Sleep Apnea Based on Periodic Health Examinations"],"prefix":"10.1111","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5609-1697","authenticated-orcid":false,"given":"Kyoka","family":"Kanno","sequence":"first","affiliation":[{"name":"Department of Occupational Health Tohoku University Graduate School of Medicine  Sendai Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiromasa","family":"Ogawa","sequence":"additional","affiliation":[{"name":"Department of Occupational Health Tohoku 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