{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T06:48:02Z","timestamp":1767682082048,"version":"3.48.0"},"reference-count":24,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T00:00:00Z","timestamp":1767657600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Physiol."],"abstract":"\n Objective<\/jats:title>\n \n To quantify the relationship between the longest apnea duration (LAD) and the lowest oxygen saturation (LSaO\n 2<\/jats:sub>\n ) in patients with obstructive sleep apnea (OSA) and to develop a predictive model for the risk of LSaO\n 2<\/jats:sub>\n decline.\n <\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n \n A total of 1716 OSA patients were enrolled and grouped by severity (236 non-OSA, 395 mild, 365 moderate, and 720 severe). Multiple linear regression was used to analyze the dose-effect relationship between LAD and LSaO\n 2<\/jats:sub>\n . A logistic regression model was developed to predict LSaO\n 2<\/jats:sub>\n grade, with the dataset partitioned into a training set (n = 1,372) and a testing set (n = 344) using random sampling.\n <\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n (1) For every 1-s increase in LAD, LSaO\n 2<\/jats:sub>\n decreased by 0.280% (95%\n CI<\/jats:italic>\n : \u22120.291%\u223c-0.269%) in a univariate model and still decreased by 0.183% (95%\n CI<\/jats:italic>\n : \u22120.197%\u223c-0.170%) after adjusting for sex, age, BMI, and AHI; (2) Critical points were identified: LSaO\n 2<\/jats:sub>\n was 85% when LAD was 34.20 s and 80% when LAD was 52.07 s; (3) The predictive model showed excellent identification performance for severe (AUC = 0.93) and moderate-severe LSaO\n 2<\/jats:sub>\n (AUC = 0.96).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n \n The study first quantifies the dose-response relationship between LAD and LSaO\n 2<\/jats:sub>\n and establishes relevant clinical thresholds. The developed model can accurately identify patients at risk of severe and moderate-severe hypoxia, offering a new tool for individualized intervention.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.3389\/fphys.2025.1691994","type":"journal-article","created":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T06:44:35Z","timestamp":1767681875000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The dose-effect and clinical prediction of the longest apnea duration driving the decrease of blood oxygen: a large sample OSA study with 34-second and 52-second cut-off values was established"],"prefix":"10.3389","volume":"16","author":[{"given":"Xiaobo","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simin","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,1,6]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.jsmc.2024.10.009","article-title":"Intermittent hypoxia as a model of obstructive sleep apnea: present and future","volume":"20","author":"Badran","year":"2025","journal-title":"Sleep. 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