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Construction of a risk prediction model for hypothermia during surgery in pediatric under general anesthesia based on machine learning algorithm

Construction of a risk prediction model for hypothermia during surgery in pediatric under general anesthesia based on machine learning algorithm

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500104133
Enrollment
Unknown
Registered
2025-06-11
Start date
2024-07-15
Completion date
Unknown
Last updated
2025-06-16

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

Conditions

Intraoperative hypothermia

Interventions

Modeling Group:None
Validation Group:None

Sponsors

The Sixth Affiliated Hospital of Harbin Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 16 Years

Inclusion criteria

Inclusion criteria: 1. Age 30 minutes.

Exclusion criteria

Exclusion criteria: 1. Cardiac surgery or other procedures that require lowering the child's body temperature; 2. Refusing to participate in this study; 3. ASA grade >?; 4. Abnormal basal body temperature, preoperative core body temperature 38.0?; 5. Hyperthyroidism or hypothyroidism and other diseases that affect body temperature; 6. The core body temperature cannot be measured due to surgery or ear canal disease.

Design outcomes

Primary

MeasureTime frame
Core body temperature;Receiver Operating Characteristic curve;Area Under Curve;Sensitivity;Specificity;—

Countries

China

Contacts

Public ContactChunyu Jin

The Sixth Affiliated Hospital of Harbin Medical University

janny95826@163.com+86 451 5628 3778

Outcome results

None listed

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