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每小时呼吸暂停低通气持续时间与阻塞性睡眠呼吸暂停相关的夜间低氧血症和白天过度嗜睡的相关性优于呼吸暂停低通气指数(AHI)

 

Authors Wang Y , Yue W, Zhou B, Zhang J, He Y, Wang M, Hu K 

Received 12 November 2024

Accepted for publication 23 March 2025

Published 29 May 2025 Volume 2025:17 Pages 1101—1112

DOI http://doi.org/10.2147/NSS.S505702

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Prof. Dr. Ahmed BaHammam

Yuhan Wang,* Wuriliga Yue,* Beini Zhou,* Jingyi Zhang, Yang He, Mengcan Wang, Ke Hu

Department of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Ke Hu, Department of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, People’s Republic of China, Email huke-rmhospital@163.com

Background: The apnea-hypopnea index (AHI) has limitations in assessing nocturnal hypoxemia and excessive daytime sleepiness (EDS) in obstructive sleep apnea (OSA) patients. This study evaluated whether hourly apnea-hypopnea duration (HAD) and mean apnea-hypopnea duration (MAD) could complement or outperform AHI.
Methods: This study included 1069 OSA patients, of whom 754 completed the Epworth Sleepiness Scale (ESS). Multivariable regression models evaluated the associations between AHI, MAD, HAD, and nocturnal hypoxemia, and standardized Z scores were used for comparison. The predictive ability of AHI, MAD, and HAD models for EDS was evaluated using goodness-of-fit indices, and receiver operating characteristic (ROC) curve analysis was performed using bootstrapping techniques.
Results: Nocturnal hypoxemia was observed in 317 participants (29.65%). Patients with nocturnal hypoxemia had significantly higher AHI (43.19 ± 18.41 vs 21.78 ± 14.73 events/hour, P < 0.001) and longer HAD (16.71 ± 7.48 vs 8.24 ± 5.40 minutes, P < 0.001). After adjusting for age, sex, and BMI, AHI and HAD were still significantly associated with nocturnal hypoxemia (P < 0.05). Standardized Z scores analysis revealed that HAD had the strongest association with nocturnal hypoxemia (HAD: OR = 3.69, 95% CI: 3.06− 4.46, P < 0.0001; AHI: OR = 3.48, 95% CI: 2.90− 4.18, P < 0.0001; MAD: OR = 1.01, 95% CI: 0.88− 1.15, P = 0.9314) and mean SpO2 (HAD: β = − 0.91, 95% CI: − 1.02−− 0.79, P < 0.0001; AHI: β = − 0.85, 95% CI: − 0.97−− 0.74, P < 0.0001; MAD: β = 0.00, 95% CI: − 0.12− 0.12, P = 0.9595), outperforming AHI and MAD. The HAD model showed the best fit for predicting EDS, with an area under the curve of 0.61 at a threshold of 5.63.
Conclusion: The HAD better correlates with OSA-related nocturnal hypoxemia and EDS rather than AHI. The duration of respiratory events warrants more investigation in clinical assessment.

Keywords: obstructive sleep apnea, hourly apnea-hypopnea duration, mean apnea-hypopnea duration, apnea-hypopnea index, nocturnal hypoxemia, excessive daytime sleepiness

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