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Construction and verification of a machine learning-based risk prediction model for postoperative sore throat in patients with tracheal intubation under general anesthesia

Construction and verification of a machine learning-based risk prediction model for postoperative sore throat in patients with tracheal intubation under general anesthesia

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400080238
Enrollment
Unknown
Registered
2024-01-24
Start date
2024-07-15
Completion date
Unknown
Last updated
2024-01-28

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

Conditions

Sore throat after tracheal intubation under general anesthesia

Interventions

Case series:NA

Sponsors

The First Hospital of Jiaxing
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: ? Age =18 years old; ? General anesthesia for endotracheal intubation; ? Volunteer to participate in this study and sign the informed consent

Exclusion criteria

Exclusion criteria: ? Oral, throat and neck surgery; ? There were upper respiratory tract infection and sore throat before operation; ? Mental illness and cognitive impairment

Design outcomes

Primary

MeasureTime frame
Postoperative sore throat;—

Countries

China

Contacts

Public ContactChen Lingyan

The First Hospital of Jiaxing Zhejiang Chinese Medical University

1029578470@qq.com+86 157 1262 5053

Outcome results

None listed

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