Accessible moderate-to-severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representations
Summary: Many obesity indicators have been linked to adiposity and its distribution. Utilizing a combination of multidimensional obesity indicators may yield different values to assess the risk of moderate-to-severe obstructive sleep apnea (OSA). We aimed to develop and validate the performances of...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | iScience |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004225001014 |
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| author | Xiaoyue Zhu Chenyang Li Xiaoting Wang Zhipeng Yang Yupu Liu Lei Zhao Xiaoman Zhang Yu Peng Xinyi Li Hongliang Yi Jian Guan Shankai Yin Huajun Xu |
| author_facet | Xiaoyue Zhu Chenyang Li Xiaoting Wang Zhipeng Yang Yupu Liu Lei Zhao Xiaoman Zhang Yu Peng Xinyi Li Hongliang Yi Jian Guan Shankai Yin Huajun Xu |
| author_sort | Xiaoyue Zhu |
| collection | DOAJ |
| description | Summary: Many obesity indicators have been linked to adiposity and its distribution. Utilizing a combination of multidimensional obesity indicators may yield different values to assess the risk of moderate-to-severe obstructive sleep apnea (OSA). We aimed to develop and validate the performances of automated machine-learning models for moderate-to-severe OSA, employing multidimensional obesity indicators as compact representations. We trained, validated, and tested models with logistic regression and other 5 machine learning algorithms on the clinical dataset and a community dataset. Light gradient boosting machine (LGB) had better performance of calibration and clinical utility than other algorithms in both clinical and community datasets. The model with the LGB algorithm demonstrated the feasibility of predicting moderate-to-severe OSA with considerable accuracy using 19 obesity indicators in clinical and community settings. The useable interface with deployment of the best performing model could scale-up well into real-word practice and help effectively detection for undiagnosed moderate-to-severe OSA. |
| format | Article |
| id | doaj-art-f8d5cd3d9e2140518d6942ee97bd9649 |
| institution | Kabale University |
| issn | 2589-0042 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj-art-f8d5cd3d9e2140518d6942ee97bd96492025-02-02T05:29:10ZengElsevieriScience2589-00422025-02-01282111841Accessible moderate-to-severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representationsXiaoyue Zhu0Chenyang Li1Xiaoting Wang2Zhipeng Yang3Yupu Liu4Lei Zhao5Xiaoman Zhang6Yu Peng7Xinyi Li8Hongliang Yi9Jian Guan10Shankai Yin11Huajun Xu12Department of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, ChinaSchool of Software, Fudan University, Shanghai, ChinaDepartment of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, ChinaSchool of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China; Corresponding authorDepartment of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Otolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China; Otolaryngological Institute of Shanghai Jiao Tong University, Shanghai, China; Corresponding authorSummary: Many obesity indicators have been linked to adiposity and its distribution. Utilizing a combination of multidimensional obesity indicators may yield different values to assess the risk of moderate-to-severe obstructive sleep apnea (OSA). We aimed to develop and validate the performances of automated machine-learning models for moderate-to-severe OSA, employing multidimensional obesity indicators as compact representations. We trained, validated, and tested models with logistic regression and other 5 machine learning algorithms on the clinical dataset and a community dataset. Light gradient boosting machine (LGB) had better performance of calibration and clinical utility than other algorithms in both clinical and community datasets. The model with the LGB algorithm demonstrated the feasibility of predicting moderate-to-severe OSA with considerable accuracy using 19 obesity indicators in clinical and community settings. The useable interface with deployment of the best performing model could scale-up well into real-word practice and help effectively detection for undiagnosed moderate-to-severe OSA.http://www.sciencedirect.com/science/article/pii/S2589004225001014Health sciencesMedicineMedical specialtyInternal medicineEndocrinologyHealth technology |
| spellingShingle | Xiaoyue Zhu Chenyang Li Xiaoting Wang Zhipeng Yang Yupu Liu Lei Zhao Xiaoman Zhang Yu Peng Xinyi Li Hongliang Yi Jian Guan Shankai Yin Huajun Xu Accessible moderate-to-severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representations iScience Health sciences Medicine Medical specialty Internal medicine Endocrinology Health technology |
| title | Accessible moderate-to-severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representations |
| title_full | Accessible moderate-to-severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representations |
| title_fullStr | Accessible moderate-to-severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representations |
| title_full_unstemmed | Accessible moderate-to-severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representations |
| title_short | Accessible moderate-to-severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representations |
| title_sort | accessible moderate to severe obstructive sleep apnea screening tool using multidimensional obesity indicators as compact representations |
| topic | Health sciences Medicine Medical specialty Internal medicine Endocrinology Health technology |
| url | http://www.sciencedirect.com/science/article/pii/S2589004225001014 |
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