Major Depressive Disorders Clinical Trial
Official title:
The Study of Relapse Predicting Model for First Episode Depression: Big Data Analysis Based on Clinical Features and Immunochemistry
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.
;
Allocation: Non-Randomized, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Prevention
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