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Predicting ICU Mortality and Adverse Outcomes in Traumatic Brain Injury Patients: A Machine Learning Study Based on Multicenter Big Data

Predicting ICU Mortality and Adverse Outcomes in Traumatic Brain Injury Patients: A Machine Learning Study Based on Multicenter Big Data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115382
Enrollment
Unknown
Registered
2025-12-25
Start date
2026-02-15
Completion date
Unknown
Last updated
2026-01-05

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

Conditions

Traumatic brain injury

Interventions

Observational group:None

Sponsors

The 960th Hospital of the PLA Joint Logistics Support Force
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Meeting the diagnostic criteria for TBI (confirmed by ICD codes) 2. Age >= 18 years 3. ICU stay >= 24 hours 4. Availability of complete basic demographic information, clinical indicators, and outcome data

Exclusion criteria

Exclusion criteria: 1.Non-first ICU admission or severe data deficiency 2.Coexistence of severe systemic trauma or multiple system diseases that interfere with prognosis assessment 3.Pregnancy

Design outcomes

Primary

MeasureTime frame
30-day mortality;—

Secondary

MeasureTime frame
Acute kidney injury;Gastrointestinal bleeding;Pneumonia;Venous thromboembolism ;—

Countries

China

Contacts

Public ContactWang Bodong

The 960th Hospital of the PLA Joint Logistics Support Force

bdwang_neurosurg@163.com+86 198 6181 1291

Outcome results

None listed

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