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To explore the construction of prediction models and evidence-based intervention strategies for postoperative hemorrhage after tonsillectomy and adenoidectomy in children based on machine learning algorithms

To explore the construction of prediction models and evidence-based intervention strategies for postoperative hemorrhage after tonsillectomy and adenoidectomy in children based on machine learning algorithms

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2400088033
Enrollment
Unknown
Registered
2024-08-09
Start date
2024-12-01
Completion date
Unknown
Last updated
2024-08-12

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

Conditions

Adenoidectomy tonsillitis

Interventions

Experimental group:Based on the results of the predictive model, individualized prevention and management programs are developed for each patients specific risk factors, including preoperative evaluat
control group:Conventional management of tonsillectomy and adenoidectomy was used, including routine preoperative examination, traditional postoperative care measures, including pain management, fluid

Sponsors

Deyang People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 17 Years

Inclusion criteria

Inclusion criteria: (1) Voluntarily sign informed consent; (2) No serious cardiovascular and cerebrovascular diseases; (3) ASA rating I - II grade; (4) Children undergoing tonsil adenoidectomy.

Exclusion criteria

Exclusion criteria: (1) Blood coagulation disorder or corresponding family history; (2) Postoperative diagnosis of malignant tumor; (3) Loss of follow-up; (4) Serious cardiovascular and cerebrovascular diseases; (5) Clinical data is not perfect.

Design outcomes

Primary

MeasureTime frame
Incidence of Postoperative bleeding;—

Secondary

MeasureTime frame
Reoperation rate;Hospitalization day;Patient satisfaction;—

Countries

China

Contacts

Public ContactXuemeng Chen

Deyang People's Hospital

cxmeng2019@163.com+86 198 6518 2999

Outcome results

None listed

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