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Multimodal Feature Analysis of Chronic Disorders of Consciousness Patients Based on Functional Magnetic Resonance Imaging and Metabolomics, and Construction of Artificial Intelligence Prediction Models

Multimodal Feature Analysis of Chronic Disorders of Consciousness Patients Based on Functional Magnetic Resonance Imaging and Metabolomics, and Construction of Artificial Intelligence Prediction Models

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500108051
Enrollment
Unknown
Registered
2025-08-25
Start date
2025-08-25
Completion date
Unknown
Last updated
2025-09-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prolonged disorders of consciousness

Interventions

Observation group for patients with chronic disorders of consciousness:None

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Impaired consciousness > 28 days; Adults aged 18 years and older; No intracranial active bleeding within 2 weeks; CRS-R assessed as vegetative state or microconscious state.

Exclusion criteria

Exclusion criteria: Those with poor basic conditions, serious diseases in other systems, and unstable vital signs; Those who refuse to join the group

Design outcomes

Primary

MeasureTime frame
Age;Gender;History of craniocerebral trauma;Hydrocephalus and its treatment situation;Removal of the bone flap and treatment progress;History of intracranial infections;The condition of lung infection.;History of cerebrospinal fluid leakage;History of epilepsy;CRS-R score;GCS score;—

Countries

China

Contacts

Public ContactJunwen Guan

West China Hospital, Sichuan University

guanjunwen_scu@163.com+86 136 6826 7639

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026