Bipolar Disorder and Oxidative Stress Injury Mechanism - Clinical Big Data Analysis Based on Machine Learning

Shanghai Mental Health Center

Status: Completed

Conditions: Bipolar Disorder

Study type: Observational

Funder types: Other

Identifiers

NCT03949218

CRC2018DSJ01-1

Details and patient eligibility

About

This study is a single-center, retrospective, cross-sectional study. We plan to work with our network information center to analysis the related indicators of oxidative stress injury in patients with bipolar disorder based on oxidative stress data. During the study, machine learning was used as a data analysis method to screen out the biomarker risk factors with sensitivity and specificity for early recognition of bipolar disorder from major depression disorder with oxidative stress injury as the core. And then build up effective clinical predictive models for early identification of bipolar disorder, which can predict the early quantitative probabilistic of the onset of bipolar disorder.

Enrollment: 3,702 patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

• age is not limited
• gender is not limited
• meets the diagnostic criteria for bipolar disorder of ICD-10 F31,F32 and its sub-categories
• has relevant HIS system data that can be utilized.

Exclusion criteria

• patients who did not meet the appeal diagnosis after three-level rounds of ward
• patients who met the above three diagnoses but had severe data loss (missing value ≥ estimated data value of 30%)

Trial design

3,702 participants in 2 patient groups

bipolar disorder(BD)

Description:

hospitalized patients BD patients in SMHC from 2009 to 2018; meet ICD-10 diagnosis of F31 bipolar disorder criteria and its subtype (mental examination was conducted by three levels of doctors including at least one attending physician and one chief physician in psychiatric); available relevant HIS system biochemical data; hospitalized patients need to the first admission; age and gender is not limited

major depressive disorder（MDD）

Description:

hospitalized patients MDD patients in SMHC from 2009 to 2018; meet ICD-10 diagnosis of F32 depressive disorder criteria and its subtype (mental examination was conducted by three levels of doctors including at least one attending physician and one chief physician in psychiatric); available relevant HIS system biochemical data; hospitalized patients need to the first admission; age and gender is not limited