Skip to content

Constructing a Risk Prediction Model for Delayed Extubation After General Anesthesia Using Bayesian Networks

Constructing a Risk Prediction Model for Delayed Extubation After General Anesthesia Using Bayesian Networks

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400089538
Enrollment
Unknown
Registered
2024-09-10
Start date
2024-09-11
Completion date
Unknown
Last updated
2024-09-16

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

Conditions

none

Interventions

Sponsors

Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
0.1 Years to 90 Years

Inclusion criteria

Inclusion criteria: Select patients who were admitted to the Post-Anesthesia Care Unit (PACU) at the Sun Yat-sen Memorial Hospital, Shenshan Center of Sun Yat-sen University, from September 2023 to February 2024. The anesthesia method used was endotracheal intubation general anesthesia, and the age range of the patients was from 1 month to 90 years old.

Exclusion criteria

Exclusion criteria: The patient was comatose preoperatively, had severe mental illness or psychiatric disorders, and the endotracheal tube was removed before being transferred to the recovery room.

Design outcomes

Primary

MeasureTime frame
Delayed Extubation;

Secondary

MeasureTime frame
temperature;Venous blood sample test results;Basic demographic information;Intraoperative fluid balance;

Countries

China

Contacts

Public ContactLuojianwei

Shenshan Medical Center,Memoral Hospital Of Sun-Sen University

363256833@qq.com+86 159 8918 5387

Outcome results

None listed

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