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26. Additional file 1 of Risk of Parkinson’s disease following gout: a population-based retrospective cohort study in Taiwan

Author

Hu, Li-Yu, Yang, Albert C., Shyh-Chyang Lee, You, Zi-Hong, Shih-Jen Tsai, Chang-Kuo Hu, and Shen, Cheng-Che

Subjects
nervous system diseases
Abstract

Additional file 1: Supplemental 1. Analyses of Risk Factors for Parkinson Disease in Male Patients with and withoutGout. Supplemental 2. Analyses of Risk Factors for Parkinson Disease in Female Patients with and withoutGout.

Published
2020
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34. Depression and the risk of vascular dementia: a population-based retrospective cohort study.

Author

Lin, Wei‐Chen, Hu, Li‐Yu, Tsai, Shih‐Jen, Yang, Albert C., Shen, Cheng‐Che, Lin, Wei-Chen, Hu, Li-Yu, Tsai, Shih-Jen, and Shen, Cheng-Che

Subjects
MENTAL depression risk factors, VASCULAR dementia, CORONARY disease, CEREBROVASCULAR disease, EPIDEMIOLOGY, REGRESSION analysis, DISEASE risk factors
Abstract

Objective: To examine the association between the risks of depression and vascular dementia (VaD) based on Taiwan's National Health Insurance Research Database.Methods: This retrospective longitudinal matched-cohort study used National Health Insurance Research Database data from 49,955 participants (9,991 with new onset depression, 39,964 controls). A Cox regression analysis was performed on the whole sample and the subgroup of patients with depression. We further excluded patients who developed VaD within 3 or 5 years after enrollment to evaluate depression as an independent risk factor for or a prodrome of VaD.Results: During the 10-year follow-up period, the incidence rate ratio of VaD between patients with depression and controls was 4.24 [95% confidence interval (CI) 2.90-6.21, P < 0.001]. After adjustment for covariates, the hazard ratio (HR) of VaD in patients with depression was 3.10 (95% CI 2.13-4.52, P < 0.001). In the whole sample, risk factors for VaD besides depression were aged ≥60 years (HR = 20.08), hypertension (HR = 1.70), diabetes (HR = 1.61), coronary artery disease (HR = 2.26), head injury (HR = 2.20), and cerebrovascular disease (HR = 3.02). In patients with depression, aged ≥60 years (HR = 32.16), coronary artery disease (HR = 2.82), head injury (HR = 2.06), and cerebrovascular disease (HR = 2.37) remained risk factors for VaD. After excluding those who developed VaD within 3 or 5 years, HRs remained high (3.28, 95% CI 2.03-5.31, P < 0.001; 2.12, 95% CI 1.05-4.25, P = 0.035, respectively).Conclusions: Our findings suggest that depression is an independent risk factor for subsequent VaD. Older age, cerebrovascular disease, head injury, and coronary artery disease might increase the risk of VaD among patients with depression. [ABSTRACT FROM AUTHOR]

Published
2017
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44. Risk stratification for the early diagnosis of borderline personality disorder using psychiatric co‐morbidities.

Author

Shen, Cheng‐Che, Hu, Li‐Yu, Tsai, Shih‐Jen, Yang, Albert C., Chen, Pan‐Ming, and Hu, Ya‐Han

Subjects
*BORDERLINE personality disorder, *EARLY diagnosis, *PERSONALITY disorders, *COMORBIDITY, *EATING disorders, *SLEEP disorders, *ANXIETY, *MENTAL depression, *MENTAL illness risk factors
Abstract

Abstract: Aim: To develop a risk stratification model for the early diagnosis of borderline personality disorder (BPD) using Taiwan National Health Insurance Research Database. Methods: We conducted a retrospective case–control study of 6132 patients (292 BPD patients and 5840 control subjects) who were selected from the National Health Insurance Research Database. Psychiatric co‐morbidities including depressive disorder, bipolar disorder, anxiety disorder, substance‐use disorder, personality disorders other than BPD, sleep disorder, eating disorder, autistic spectrum disorder, mental retardation and attention‐deficit hyperactivity disorder, which were diagnosed within 3 years before enrolment, were collected. A logistic regression was used to calculate the odds ratio of psychiatric co‐morbidities between subjects with and without BPD. The classification and regression tree method was used to generate a risk stratification model. Results: The odds ratios for depressive disorder, bipolar disorder, anxiety disorder, substance‐use disorder, personality disorders other than BPD, sleep disorder, eating disorder, mental retardation and attention‐deficit hyperactivity disorder were greater for BPD patients than for the control subjects. Furthermore, the risk of BPD can be reliably estimated using age and psychiatric co‐morbidities including bipolar disorder, substance‐use disorder and depressive disorder. Conclusions: Most psychiatric disorders were more common in BPD patients than in the control subjects. Using psychiatric co‐morbidities, we identified four variables as significant risk predictors of BPD and permitted identification of subjects with low, intermediate or high risk for BPD. The accuracy of the risk stratification model is high and can be easily applied in clinical practice. [ABSTRACT FROM AUTHOR]

Published
2018
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46. Risk of Second Non-Breast Primary Cancer in Male and Female Breast Cancer Patients: A Population-Based Cohort Study

Author

Hung, Man-Hsin, primary, Liu, Chia-Jen, additional, Teng, Chung-Jen, additional, Hu, Yu-Wen, additional, Yeh, Chiu-Mei, additional, Chen, San-Chi, additional, Chien, Sheng-Hsuan, additional, Hung, Yi-Ping, additional, Shen, Cheng-Che, additional, Chen, Tzeng-Ji, additional, Tzeng, Cheng-Hwai, additional, and Liu, Chun-Yu, additional

Published
2016
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