Prediction of Optimal Positive Airway Pressure in Chinese Patients With Obstructive Sleep Apnea
ABSTRACT Purpose Positive airway pressure (PAP) is the primary treatment for obstructive sleep apnea (OSA). This study aims to predict the optimal PAP pressure in Chinese OSA patients by their polysomnography (PSG) variables and demographic characteristics. Methods Patients with an apnea–hypopnea in...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | The Clinical Respiratory Journal |
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| Online Access: | https://doi.org/10.1111/crj.70047 |
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| author | Feng Pang Wenmin Deng Jingyan Huang Yu Guo Minmin Lin Xiangmin Zhang Jie Liu |
| author_facet | Feng Pang Wenmin Deng Jingyan Huang Yu Guo Minmin Lin Xiangmin Zhang Jie Liu |
| author_sort | Feng Pang |
| collection | DOAJ |
| description | ABSTRACT Purpose Positive airway pressure (PAP) is the primary treatment for obstructive sleep apnea (OSA). This study aims to predict the optimal PAP pressure in Chinese OSA patients by their polysomnography (PSG) variables and demographic characteristics. Methods Patients with an apnea–hypopnea index (AHI) ≥ 15 times/h who received PAP therapy (residual AHI < 5 times/h) and underwent PSG were included in this study. Sex, age, body mass index (BMI), Epworth Sleepiness Scale (ESS), AHI, supine AHI, lowest oxygen saturation (LSaO2), percentage of total sleep time spent with SaO2 < 90% (CT90), and PAP pressure were recorded. PAP pressure and other variables were analyzed using univariate correlation and multivariate linear stepwise regression analysis. Results A total of 167 patients were enrolled, with 122 in the study group and 45 in the validation group. Univariate correlation analysis revealed a significant correlation between PAP pressure and age, BMI, ESS, AHI, supine AHI, LSaO2, and CT90. The multivariate linear regression analysis showed that PAP pressure was correlated with gender (b = 1.142, p = 0.032), age (b = −0.039, p = 0.005), AHI (b = 0.047, p = 0.000), and CT90 (b = 0.037, p = 0.000). The final PAP pressure prediction equation was PAPpre (cmH2O) = 8.548 + 1.142 × sex −0.039 × age + 0.047 × AHI + 0.037 × CT90 (R2 = 0.553) (male is defined as 0 and female as 1). This model accounts for 55.3% of the optimal pressure variance, and the area under the ROC curve of PAP prediction pressure is 0.7419. Conclusion PSG variables can be used to predict PAP pressure in Chinese OSA patients, but for some individuals, the prediction model is not very good. PAP is correlated with age, BMI, ESS, AHI, supine AHI, LSaO2, and percentage of total sleep time spent with SaO2 < 90% (CT90), which can be used to predict the optimal PAP pressure. |
| format | Article |
| id | doaj-art-3fe4733661574388a6d55bcb0f700e56 |
| institution | OA Journals |
| issn | 1752-6981 1752-699X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Clinical Respiratory Journal |
| spelling | doaj-art-3fe4733661574388a6d55bcb0f700e562025-08-20T01:57:27ZengWileyThe Clinical Respiratory Journal1752-69811752-699X2024-12-011812n/an/a10.1111/crj.70047Prediction of Optimal Positive Airway Pressure in Chinese Patients With Obstructive Sleep ApneaFeng Pang0Wenmin Deng1Jingyan Huang2Yu Guo3Minmin Lin4Xiangmin Zhang5Jie Liu6Department of Sleep Medicine The Sixth Affiliated Hospital, Sun Yat‐sen University Guangzhou Guangdong ChinaDepartment of Sleep Medicine The Sixth Affiliated Hospital, Sun Yat‐sen University Guangzhou Guangdong ChinaDepartment of Otolaryngology–Head and Neck Surgery Foresea Life Insurance Guangzhou General Hospital Guangzhou Guangdong ChinaDepartment of Otolaryngology–Head and Neck Surgery The Sixth Affiliated Hospital, Sun Yat‐sen University Guangzhou Guangdong ChinaDepartment of Sleep Medicine The Sixth Affiliated Hospital, Sun Yat‐sen University Guangzhou Guangdong ChinaDepartment of Sleep Medicine The Sixth Affiliated Hospital, Sun Yat‐sen University Guangzhou Guangdong ChinaDepartment of Sleep Medicine The Sixth Affiliated Hospital, Sun Yat‐sen University Guangzhou Guangdong ChinaABSTRACT Purpose Positive airway pressure (PAP) is the primary treatment for obstructive sleep apnea (OSA). This study aims to predict the optimal PAP pressure in Chinese OSA patients by their polysomnography (PSG) variables and demographic characteristics. Methods Patients with an apnea–hypopnea index (AHI) ≥ 15 times/h who received PAP therapy (residual AHI < 5 times/h) and underwent PSG were included in this study. Sex, age, body mass index (BMI), Epworth Sleepiness Scale (ESS), AHI, supine AHI, lowest oxygen saturation (LSaO2), percentage of total sleep time spent with SaO2 < 90% (CT90), and PAP pressure were recorded. PAP pressure and other variables were analyzed using univariate correlation and multivariate linear stepwise regression analysis. Results A total of 167 patients were enrolled, with 122 in the study group and 45 in the validation group. Univariate correlation analysis revealed a significant correlation between PAP pressure and age, BMI, ESS, AHI, supine AHI, LSaO2, and CT90. The multivariate linear regression analysis showed that PAP pressure was correlated with gender (b = 1.142, p = 0.032), age (b = −0.039, p = 0.005), AHI (b = 0.047, p = 0.000), and CT90 (b = 0.037, p = 0.000). The final PAP pressure prediction equation was PAPpre (cmH2O) = 8.548 + 1.142 × sex −0.039 × age + 0.047 × AHI + 0.037 × CT90 (R2 = 0.553) (male is defined as 0 and female as 1). This model accounts for 55.3% of the optimal pressure variance, and the area under the ROC curve of PAP prediction pressure is 0.7419. Conclusion PSG variables can be used to predict PAP pressure in Chinese OSA patients, but for some individuals, the prediction model is not very good. PAP is correlated with age, BMI, ESS, AHI, supine AHI, LSaO2, and percentage of total sleep time spent with SaO2 < 90% (CT90), which can be used to predict the optimal PAP pressure.https://doi.org/10.1111/crj.70047Chinaobstructive sleep apnea (OSA)optimal pressurepositive airway pressure (PAP)prediction |
| spellingShingle | Feng Pang Wenmin Deng Jingyan Huang Yu Guo Minmin Lin Xiangmin Zhang Jie Liu Prediction of Optimal Positive Airway Pressure in Chinese Patients With Obstructive Sleep Apnea The Clinical Respiratory Journal China obstructive sleep apnea (OSA) optimal pressure positive airway pressure (PAP) prediction |
| title | Prediction of Optimal Positive Airway Pressure in Chinese Patients With Obstructive Sleep Apnea |
| title_full | Prediction of Optimal Positive Airway Pressure in Chinese Patients With Obstructive Sleep Apnea |
| title_fullStr | Prediction of Optimal Positive Airway Pressure in Chinese Patients With Obstructive Sleep Apnea |
| title_full_unstemmed | Prediction of Optimal Positive Airway Pressure in Chinese Patients With Obstructive Sleep Apnea |
| title_short | Prediction of Optimal Positive Airway Pressure in Chinese Patients With Obstructive Sleep Apnea |
| title_sort | prediction of optimal positive airway pressure in chinese patients with obstructive sleep apnea |
| topic | China obstructive sleep apnea (OSA) optimal pressure positive airway pressure (PAP) prediction |
| url | https://doi.org/10.1111/crj.70047 |
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