Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches
Aims: Thyroid eye disease (TED) is an autoimmune orbital disorder that diminishes the quality of life (QOL) in affected individuals. Graves’ ophthalmopathy (GO)-QOL questionnaire effectively assesses TED’s effect on patients. This study aims to investigate the factors influencing visual functioning...
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Bioscientifica
2025-01-01
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| Series: | European Thyroid Journal |
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| Online Access: | https://etj.bioscientifica.com/view/journals/etj/14/1/ETJ-24-0292.xml |
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| author | Haiyang Zhang Shuo Wu Lehan Yang Chengjing Fan Huifang Chen Hui Wang Tianyi Zhu Yinwei Li Jing Sun Xuefei Song Huifang Zhou Terry J Smith Xianqun Fan |
| author_facet | Haiyang Zhang Shuo Wu Lehan Yang Chengjing Fan Huifang Chen Hui Wang Tianyi Zhu Yinwei Li Jing Sun Xuefei Song Huifang Zhou Terry J Smith Xianqun Fan |
| author_sort | Haiyang Zhang |
| collection | DOAJ |
| description | Aims: Thyroid eye disease (TED) is an autoimmune orbital disorder that diminishes the quality of life (QOL) in affected individuals. Graves’ ophthalmopathy (GO)-QOL questionnaire effectively assesses TED’s effect on patients. This study aims to investigate the factors influencing visual functioning (QOL-VF) and physical appearance (QOL-AP) scores in Chinese TED patients using innovative data analysis methods. Methods: This cross-sectional study included 211 TED patients whose initial visit to our clinic was from July 2022 to March 2023. Patients with previous ophthalmic surgery or concurrent severe diseases were excluded. GO-QOL questionnaires, detailed medical histories and clinical examinations were collected. The distribution of GO-QOL scores was analyzed, and linear regression and machine learning algorithms were utilized. Results: The median QOL-VF and QOL-AP scores were 64.29 and 62.5, respectively. Multivariate linear regression analysis revealed age (P = 0.013), ocular motility pain (P = 0.012), vertical strabismus (P < 0.001) and diplopia scores as significant predictors for QOL-VF. For QOL-AP, gender (P = 0.013) and clinical activity (P = 0.086) were significant. The XGBoost model demonstrated superior performance, with an R2 of 0.872 and a root mean square error of 11.083. Shapley additive explanations (SHAP) analysis highlighted the importance of vertical strabismus, diplopia score and age in influencing QOL-VF and age, clinical activity and sex in QOL-AP. Conclusion: TED significantly affects patient QOL. The study highlights the efficacy of XGBoost and SHAP analyses in identifying key factors influencing the QOL in TED patients. Identifying effective interventions and considering specific demographic characteristics are essential to improving the QOL of patients with TED. |
| format | Article |
| id | doaj-art-89804bc3e5b844c39bb5a7cddf3b3723 |
| institution | Kabale University |
| issn | 2235-0802 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Bioscientifica |
| record_format | Article |
| series | European Thyroid Journal |
| spelling | doaj-art-89804bc3e5b844c39bb5a7cddf3b37232025-01-12T04:31:34ZengBioscientificaEuropean Thyroid Journal2235-08022025-01-0114110.1530/ETJ-24-02921Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approachesHaiyang Zhang0Shuo Wu1Lehan Yang2Chengjing Fan3Huifang Chen4Hui Wang5Tianyi Zhu6Yinwei Li7Jing Sun8Xuefei Song9Huifang Zhou10Terry J Smith11Xianqun Fan12Department of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaNursing Department, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaNursing Department, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaDepartment of Ophthalmology and Visual Sciences and Department of Internal Medicine, Kellogg Eye Center-Michigan Medicine and University of Michigan, Ann Arbor, Michigan, USADepartment of Ophthalmology, Shanghai Ninth People’s Hospital, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, and Center for Basic Medical Research and Innovation in Visual System Diseases of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaAims: Thyroid eye disease (TED) is an autoimmune orbital disorder that diminishes the quality of life (QOL) in affected individuals. Graves’ ophthalmopathy (GO)-QOL questionnaire effectively assesses TED’s effect on patients. This study aims to investigate the factors influencing visual functioning (QOL-VF) and physical appearance (QOL-AP) scores in Chinese TED patients using innovative data analysis methods. Methods: This cross-sectional study included 211 TED patients whose initial visit to our clinic was from July 2022 to March 2023. Patients with previous ophthalmic surgery or concurrent severe diseases were excluded. GO-QOL questionnaires, detailed medical histories and clinical examinations were collected. The distribution of GO-QOL scores was analyzed, and linear regression and machine learning algorithms were utilized. Results: The median QOL-VF and QOL-AP scores were 64.29 and 62.5, respectively. Multivariate linear regression analysis revealed age (P = 0.013), ocular motility pain (P = 0.012), vertical strabismus (P < 0.001) and diplopia scores as significant predictors for QOL-VF. For QOL-AP, gender (P = 0.013) and clinical activity (P = 0.086) were significant. The XGBoost model demonstrated superior performance, with an R2 of 0.872 and a root mean square error of 11.083. Shapley additive explanations (SHAP) analysis highlighted the importance of vertical strabismus, diplopia score and age in influencing QOL-VF and age, clinical activity and sex in QOL-AP. Conclusion: TED significantly affects patient QOL. The study highlights the efficacy of XGBoost and SHAP analyses in identifying key factors influencing the QOL in TED patients. Identifying effective interventions and considering specific demographic characteristics are essential to improving the QOL of patients with TED.https://etj.bioscientifica.com/view/journals/etj/14/1/ETJ-24-0292.xmlthyroid eye diseasequality of lifemachine learningshapley additive explanations (shap)xgboost |
| spellingShingle | Haiyang Zhang Shuo Wu Lehan Yang Chengjing Fan Huifang Chen Hui Wang Tianyi Zhu Yinwei Li Jing Sun Xuefei Song Huifang Zhou Terry J Smith Xianqun Fan Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches European Thyroid Journal thyroid eye disease quality of life machine learning shapley additive explanations (shap) xgboost |
| title | Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches |
| title_full | Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches |
| title_fullStr | Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches |
| title_full_unstemmed | Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches |
| title_short | Investigating factors influencing quality of life in thyroid eye disease: insight from machine learning approaches |
| title_sort | investigating factors influencing quality of life in thyroid eye disease insight from machine learning approaches |
| topic | thyroid eye disease quality of life machine learning shapley additive explanations (shap) xgboost |
| url | https://etj.bioscientifica.com/view/journals/etj/14/1/ETJ-24-0292.xml |
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