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Major depressive depression(MDD) is an severe public mental disorders. The purpose of current study is using big data analysis based on clinical features and immunochemistry to investigate and establish an relapse predict model for patients with first episode MDD.
Major depressive depression(MDD) is an severe public mental disorders. The purpose of current study is using big data analysis based on clinical features and immunochemistry to investigate and establish an relapse predict model for patients with first episode MDD.
This study includes two steps. Step 1: Big data analysis based on the clinical features and immunochemical figures of 30000 patients with first episode MDD will be conducted to construct a relapse predict model.
Step 2: 300 patients with first episode MDD will be recruited in this step. Physicians prefer to give corresponding treatment recommendation based on the predictive factors to verify this relapse model.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Clinical features and medication | Experimental | A group patients with significant high risk of clinical features and medications. |
|
| Psycho-social | Experimental | A group patients with significant high risk of psycho-social problems. |
|
| immunology | Experimental | A group patients with significant high risk of immune disturbance. |
|
| Laboratory abnormality | Experimental | A group patients with significant high risk of Laboratory abnormalities. |
|
| Comorbidity | Experimental | A group patients with physical or mental disorders comorbidities. |
|
| Treatment as usual | Experimental | Control group. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Clinical features and medication | Other | This group will be suggested to take optimize treatment according to Chinese treatment guidelines. |
|
| Measure | Description | Time Frame |
|---|---|---|
| HAM-D total score | The change from baseline to end of study (EOS) in HAM-D total score | 12 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Time to relapse | The time to new intervention for an emerging mood episode | 12 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jun Chen, M.D., Ph.D | Contact | 021-34773367 | doctorcj2010@gmail.com | |
| Jia Huang, Master | Contact | 13750892815 | kittyhj_2000@aliyun.com |
| Name | Affiliation | Role |
|---|---|---|
| Jun Chen, M.D., Ph.D | Shanghai Mental Health Center | Principal Investigator |
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| ID | Term |
|---|---|
| D003865 | Depressive Disorder, Major |
| ID | Term |
|---|---|
| D003866 | Depressive Disorder |
| D019964 | Mood Disorders |
| D001523 | Mental Disorders |
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| ID | Term |
|---|---|
| D004304 | Dosage Forms |
| D014181 | Transplantation Immunology |
| D015897 | Comorbidity |
| D013812 | Therapeutics |
| ID | Term |
|---|---|
| D004364 | Pharmaceutical Preparations |
| D013678 | Technology, Pharmaceutical |
| D008919 | Investigative Techniques |
| D055633 | Immune System Phenomena |
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|
| Psycho-social | Other | This group will be suggested to add on psychotherapy on medical treatment. |
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| immunology | Other | This group will be suggested to add on Omega-3 polyunsaturated fatty acid(PUFAs) on medical treatment. |
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| Laboratory abnormality | Other | This group will be suggested to more safety antidepressants. |
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| Comorbidity | Other | This group will be suggested to treat their comorbidities as well as treat MDD. |
|
| Treatment as usual | Other | Patients will accept routine treatments based on psychiatrist experience, not based on the relapse predict model. |
|
|
| D015981 | Epidemiologic Factors |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |