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Construction and Verification of Hypothermia Risk Prediction Model for Off-pump Coronary Artery Bypass Grafting Based on Machine Learning Algorithm

Construction and Verification of Hypothermia Risk Prediction Model for Off-pump Coronary Artery Bypass Grafting Based on Machine Learning Algorithm

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600123705
Enrollment
Unknown
Registered
2026-04-29
Start date
2021-01-01
Completion date
Unknown
Last updated
2026-05-04

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 First Affiliated Hospital of Zhengzhou University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Age > 18 years old 2. Elective surgery

Exclusion criteria

Exclusion criteria: 1. Impaired thermoregulatory function 2. Simultaneous coronary artery bypass grafting and carotid endarterectomy. 3. 3 days before operation, the core temperature was > 38? 4. The operation was changed to cardiopulmonary bypass. 5. Events that affect the patient's body temperature, such as allergic reaction, occur during the operation.

Design outcomes

Primary

MeasureTime frame
Nasopharyngeal core temperature;Intraoperative hypothermia (defined as nasopharyngeal temperature <=36°C at any time point);—

Countries

China

Contacts

Public ContactZhang Mengran

The First Affiliated Hospital of Zhengzhou University

609186531@qq.com+86 159 8197 0306

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 7, 2026