Evidence map›Paper›PMID 42228289›Full record

ArticleSleep & breathing = Schlaf & Atmung2026

Analysis of the predictive ability of novel hypoxia-related indicators for disease severity in obstructive sleep apnea syndrome.

Yujiao Zhang, Jiaqi Cai, Meirong Liu, Yan Wang, Haiyan Zhao, Jing Zhang

Abstract read
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yujiao ZhangDepartment of General Internal Medicine, Tianjin University Tianjin Hospital, 406 Jiefang South Road, Hexi District, Tianjin, 300211, China.
Jiaqi CaiDepartment of Sleep Medicine Center, the NO.983 Hospital of The People's Liberation Army Joint Logistic Support Force, 60 Huangwei Road, Hebei District, Tianjin, 300142, China.
Meirong LiuDepartment of General Internal Medicine, Tianjin University Tianjin Hospital, 406 Jiefang South Road, Hexi District, Tianjin, 300211, China.
Yan WangDepartment of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Haiyan ZhaoDepartment of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China. Tjzyy1291064190@163.com.
Jing ZhangDepartment of Respiratory and Critical Care Medicine, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China. zjtjzyyhxk1101@163.com.

Funding

National Key Clinical Specialty Discipline Construction Program of China TJYXZDXK-008A
6 · The paper itself

Abstract

objectiveGiven the high prevalence of OSA, low rates of clinical consultation, limited accessibility to PSG, and the widespread adoption of advanced portable technologies, the development of novel indices capable of accurately evaluating both the presence and severity of OSA is urgently required. We evaluated novel hypoxia-related indicators, such as the sleep breathing impairment index (SBII) and the percentage of sleep time with the duration of respiratory events causing desaturation (pRED_3p), and compared their predictive efficacy for OSA with traditional indicators.

methodsAnthropometric parameters and polysomnographic data from patients diagnosed with OSA were retrospectively collected. SBII and pRED_3p values were computed based on SPO

resultsIn the context of OSA onset and disease stratification, BMI and longest apnea- hypopnea time (L-AHT) demonstrated limited predictive capability. In contrast, sleep-related variables including maximum oxygen desaturation (MOD), lowest oxygen saturation (LSPO

conclusionThese novel hypoxia-related indices have demonstrated strong predictive power in identifying OSA and grading its severity, and can detect non-obese, non-severe hypoxic OSA patients at an early stage.

Indexed as

HypoxiaSeverity of Illness IndexSleep Apnea, ObstructiveAdultFemaleHumansMaleMiddle AgedOxygen SaturationPolysomnographyPredictive Value of TestsRetrospective StudiesObstructive sleep apnea (OSA)Sleep breathing impairment index (SBII)The percentage of sleep time with the duration of respiratory events causing desaturation (pRED_3p)

Identifiers

PMID42228289
PMCPMC13230229

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.