Research and validation of an unplanned intraoperative hypothermia risk prediction model based on computer deep learning

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2300071490

Enrollment

Unknown

Registered

2023-05-16

Start date

2022-05-17

Completion date

Unknown

Last updated

2023-06-12

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

Conditions

General Anesthesia Surgery Patients

Interventions

Exposed Group :Hypothemia Group/Control Group:Non-Hypothemia Group:None

Eligibility

Sex/Gender

All

Age

18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. 18 years<=Age<=80years; 2. Patients undergoing elective surgery under general anesthesia; 3. Informed consent to participate in this study

Exclusion criteria

Exclusion criteria: (1) normal body temperature <36 degree; (2) surgery requiring controlled temperature reduction; (3) cranial surgery affecting thermoregulation; (4) surgery patients with combined thyroid function abnormalities

Design outcomes

Primary

Measure	Time frame
Body temperature;Demographic ;the methods of normothemia preservation;the duration time of anesthesia;ambient temperature;sensitivity;specificity;area under ROC curve;	—

Secondary

Measure	Time frame
Intraoperative flushing fluid volume;Intraoperative bleeding;Intraoperative fluid input;	—

Countries

China

Contacts

Public ContactPing Zheng

West China Hospital of Sichuan University

michelle120138@163.com+86 134 0841 8709

Outcome results

None listed

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