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Predictive Modeling of Postoperative Hypotension in Hip Fracture Patients via Machine Learning Techniques

Predictive Modeling of Postoperative Hypotension in Hip Fracture Patients via Machine Learning Techniques

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500099010
Enrollment
Unknown
Registered
2025-03-17
Start date
2025-03-17
Completion date
Unknown
Last updated
2025-03-24

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

Conditions

Postoperative hypotension in patients with hip fractures

Interventions

Hypotension group:none
Non-hypotensive group:none
Validation Group:none

Sponsors

Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.ASA Class I~IV; 2. Patients diagnosed with hip fracture by imaging and clinical symptoms; Fracture types include femoral neck fracture, intertrochanteric fracture, and subtrochanteric fracture without other fractures; 3. undergo surgical treatment;

Exclusion criteria

Exclusion criteria: 1. Previous hip surgery; 2. Serious cardiovascular diseases and liver and kidney dysfunction; 3. Transfer to ICU after surgery.

Design outcomes

Primary

MeasureTime frame
Incidence of hypotension in the 24 hours postoperative period;—

Secondary

MeasureTime frame
Adverse events;Length of hospital stay;—

Countries

China

Contacts

Public ContactMengchang Yang

Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital

ymc681@126.com+86 181 4004 9936

Outcome results

None listed

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