Risk Factors for Depression and Nomogram Prediction Among Chinese Coronary Heart Disease Patients: A Multi-Center Study from 2016 to 2018
Hongxuan Tong,1,* Jiale Zhang,1,* Lijie Jiang,1 Lei Dong,2 Jiatong Hu3 1Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, People’s Republic of China; 2Breast Department, Xiyuan Hospital, China Academy of Chinese Medica...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Dove Medical Press
2025-06-01
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| Series: | International Journal of General Medicine |
| Subjects: | |
| Online Access: | https://www.dovepress.com/risk-factors-for-depression-and-nomogram-prediction-among-chinese-coro-peer-reviewed-fulltext-article-IJGM |
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| Summary: | Hongxuan Tong,1,* Jiale Zhang,1,* Lijie Jiang,1 Lei Dong,2 Jiatong Hu3 1Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, People’s Republic of China; 2Breast Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China; 3Acupuncture Department, Guang ‘anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hongxuan Tong, Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiao Street of Dongzhimennei, Dongcheng District, Beijing, People’s Republic of China, Email Thongxuan1@163.com Jiatong Hu, Doctor, Acupuncture Department, Guang ‘anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixiangge Street, Xicheng District, Beijing, People’s Republic of China, Email 13716031300@163.comBackground: This study aimed to assess the prevalence and identify risk factors associated with depression among coronary heart disease (CHD) patients at different stages in China.Methods: Conducted as a hospital-based, cross-sectional study across 48 hospitals in 23 provinces, the research spanned from October 2016 to April 2018. A total of 9044 patients were initially recruited, with 8353 deemed eligible for participation. Depression was assessed using the nine-item Patient Health Questionnaire-9 (PHQ-9) Scale. Univariate analysis identified predictors of postoperative depression, and binary logistic regression analysis was employed to ascertain risk factors associated with depressive symptoms. The predictive model was constructed using the “rms” package in R software, demonstrating robust predictive capabilities according to the ROC curve.Results: In general, both the degree and overall score based on the PHQ-9 revealed a trend: as the severity of the disease increased, so did the severity of patient depression. Univariate analysis indicated statistical differences concerning general situations and lifestyles. The binary logistic regression model highlighted the proximity of depression to risk factors such as gender, nationality, marital status, education, drinking, BMI, sleep disturbance, and disease status. Utilizing these findings, a predictive nomogram for depression was developed. The model exhibited excellent predictive ability, with an AUC of 0.768 (95% CI = 0.757– 0.780).Conclusion: This study systematically investigated the prevalence of depression among coronary heart disease patients at various stages. As coronary heart disease advanced, the level of depression intensified. The nomogram developed in this study proves valuable in predicting the incidence of depression in coronary heart disease patients.Keywords: coronary heart disease, risk factors, depression, nomogram, ROC curve |
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| ISSN: | 1178-7074 |