A Cohort Study of Disease Prediction Model for High-risk Population With Bipolar Disorder

Summary

Bipolar disorder (BD) is a serious, complicated, familial aggregation onset of mental illness, which has the characteristics of five-low and one-high, namely high prevalence, high recurrence rate, high morbidity and mortality, high comorbidity rate and younger age characteristics. This situation will seriously influence one's behaviour or thinking, cognitive, emotional, social and occupational function, causing the heavy burden of disease. But, early recognition and early diagnosis are difficult to achieve at present.

Based on the preliminary research results of the project team, it is found that BD can be identified early through specific dimensions, and early recognition is crucial for the prognosis of patients. The earlier the intervention for BD is implemented, the better the prognosis, especially the functional prognosis, but the difficulty lies in how to implement it. Establishing a high-quality clinical cohort of BD high-risk population is a necessary prerequisite. This study intends to establish a high-quality, large-sample cohort through multi-center, long-term and prospective cohort design and enroll 100 BD high-risk patients every year, a total of 400 cases in 4 years. The electronic mental health service platform will be used for ten years of intensive follow-up. Multi-modal data including clinical characteristics, genetic, cognitive, neuroimaging, sleep monitoring, eeg, eye movement, speech, facial expression and movement were collected to construct the database. On this basis, the interaction of biological factors, clinical risk factors, and environmental risk factors in the onset of BD is discussed to establish a big data prediction model for BD onset in high-risk populations. The effective subgroups of early intervention were analyzed and screened. An ethical and individualized prediction model of the effectiveness and safety of early intervention for the BD high-risk population was constructed.

It is hoped that the smooth implementation of this project can provide empirical evidence for the early identification, prevention and intervention of BD. To provide clinicians with real data-driven decision-making guidance to assist in selecting personalized and precise treatment; Ultimately promote the prognosis and functional recovery of BD patients.

Conditions

• High-risk
• Bipolar Disorder
• Atypical Depression

Interventions

OTHER

This was an observational study with no intervention.

This was an observational study with no intervention.

Sponsors & Collaborators

• Shanghai Mental Health Center, Hongkou District

  collaborator UNKNOWN

• Shanghai Mental Health Center, Xuhui District

  collaborator UNKNOWN

• Children's Hospital of Fudan University

  collaborator OTHER

• Peking University Sixth Hospital

  collaborator OTHER

• Qingdao Mental Health Center

  collaborator UNKNOWN

• Nanjing Medical University

  collaborator OTHER

• Shanghai Mental Health Center

  lead OTHER

Eligibility

Min Age

6 Years

Max Age

18 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2024-10-15

Primary Completion

2025-12-31

Completion

2025-12-31

Countries

• China

Study Locations