What does this research mean for the field?

For every 1-s increase in the longest apnea duration, the lowest oxygen saturation decreases by 0.280% in patients with obstructive sleep apnea. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to analyze the relationship between longest apnea duration and lowest oxygen saturation in obstructive sleep apnea patients.

January 10, 2026Frontiers in Physiology0 citationsOpen Access

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

XZXiaobo ZhouUniversity of Electronic Science and Technology of China SGSimin GaoSichuan University PZPing ZengSichuan University

Key Result

For every 1-s increase in the longest apnea duration, the lowest oxygen saturation decreased by 0.280%, indicating critical thresholds for LSaO2 decline in OSA patients.

Key Points

The aim is to analyze the relationship between longest apnea duration and lowest oxygen saturation in obstructive sleep apnea patients.
Enrolled 1716 obstructive sleep apnea patients, categorized by severity.
Used multiple linear regression to examine the dose-effect relationship between apnea duration and oxygen saturation.
Developed a logistic regression model for predicting oxygen saturation decline, with data split for training and testing.
Each 1-second increase in longest apnea duration correlates with a 0.280% decrease in oxygen saturation in unadjusted models.
Identified critical thresholds: oxygen saturation at 85% for 34.20 seconds of apnea and 80% for 52.07 seconds.
The predictive model achieved high accuracy, with an AUC of 0.93 for severe and 0.96 for moderate-severe oxygen saturation.

Structured PICO

Does the longest apnea duration predict the severity of lowest oxygen saturation in patients with obstructive sleep apnea?

Population

1,716 patients presenting with symptoms such as snoring and witnessed apnea who underwent overnight polysomnography (236 non-OSA, 395 mild, 365 moderate, and 720 severe OSA), median age 42.0 years, 79.8% male, from a single center in China.

Outcome

Lowest oxygen saturation (LSaO2) and its dose-effect relationship with the longest apnea duration (LAD) during overnight polysomnographysurrogate

The longest apnea duration is an independent predictor of nocturnal hypoxia severity in obstructive sleep apnea, with thresholds of 34 and 52 seconds identifying patients at risk for moderate and severe hypoxemia.

Main Result

Absolute Event Rate: 0% vs 0%

Abstract

Objective To quantify the relationship between the longest apnea duration (LAD) and the lowest oxygen saturation (LSaO 2 ) in patients with obstructive sleep apnea (OSA) and to develop a predictive model for the risk of LSaO 2 decline. Methods 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 2 . A logistic regression model was developed to predict LSaO 2 grade, with the dataset partitioned into a training set (n = 1,372) and a testing set (n = 344) using random sampling. Results (1) For every 1-s increase in LAD, LSaO 2 decreased by 0.280% (95% CI : −0.291%∼-0.269%) in a univariate model and still decreased by 0.183% (95% CI : −0.197%∼-0.170%) after adjusting for sex, age, BMI, and AHI; (2) Critical points were identified: LSaO 2 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 2 (AUC = 0.96). Conclusion The study first quantifies the dose-response relationship between LAD and LSaO 2 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.

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