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Predictive modeling of ICU-AW inflammatory factors based on machine learning

Predictive modeling of ICU-AW inflammatory factors based on machine learning

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300077968
Enrollment
Unknown
Registered
2023-11-24
Start date
2023-11-30
Completion date
Unknown
Last updated
2023-11-27

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

Conditions

intensive care unit-acquired weakness

Interventions

Gold Standard:ICUAW diagnostic criteria
Index test:A predictive model for ICU-AW inflammatory factors

Sponsors

Affiliated Hospital of Xuzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. age =18 years; 2. patients voluntarily enrolled in the study and signed an informed consent form; and 3. mechanical ventilation was included.

Exclusion criteria

Exclusion criteria: 1. those with rapidly progressing neuromuscular disease; 2. those admitted for central nervous system disorders such as the Guillain-barrés syndrome (GBS); 3. those with intrinsic frailty due to other medical conditions.

Design outcomes

Primary

MeasureTime frame
accuracy;sensitivity;specificity;AUC;ROC ;

Countries

China

Contacts

Public ContactXiang Jie

Affiliated Hospital of Xuzhou Medical University

18052268386@163.com+86 182 6075 5801

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 6, 2026