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Using random forest regression to predict the risk of general ward patients transferring to the ICU: a prospective analysis based on the Modified Early Warning Score (MEWS)

Using random forest regression to predict the risk of general ward patients transferring to the ICU: a prospective analysis based on the Modified Early Warning Score (MEWS)

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500108420
Enrollment
Unknown
Registered
2025-08-29
Start date
2024-05-13
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

ICU

Interventions

Transfer to group:None
Not transferred to the group:None

Sponsors

The First Affiliated Hospital of Gannan Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
16 Years to No maximum

Inclusion criteria

Inclusion criteria: (1) Age >= 16 years; (2) Expected length of stay after admission >= 48 hours; (3) Sign the informed consent form

Exclusion criteria

Exclusion criteria: (1) Patients transferred to the ICU for observation (to avoid confounding factors associated with routine postoperative monitoring); (2) Terminal illness (expected survival =30% (e.g., electronic medical records lacking MEWS scores)

Design outcomes

Primary

MeasureTime frame
Modified Early Warning Score(MEWS) ;Acute Physiology and Chronic Health Evaluation?(APACHE?);Glasgow coma scale(GCS);—

Countries

China

Contacts

Public ContactLiping Xing

The First Affiliated Hospital of Gannan Medical University

gyfyxlp@163.com+86 152 7975 3685

Outcome results

None listed

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