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Machine Learning Prediction Model for Lower Extremity Deep Vein Thrombosis After Hip Arthroplasty

Machine Learning Prediction Model for Lower Extremity Deep Vein Thrombosis After Hip Arthroplasty

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600122742
Enrollment
Unknown
Registered
2026-04-17
Start date
2026-05-01
Completion date
Unknown
Last updated
2026-04-27

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

Conditions

Hip joint disease

Interventions

Observation group:N/A

Sponsors

Jiangsu Provincial Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Age = 18 years; 2.Underwent hip replacement surgery; 3.Complete clinical data available.

Exclusion criteria

Exclusion criteria: 1.Presence of severe dysfunction in organs such as the heart, liver, or kidneys; 2.Preoperative diagnosis of lower extremity venous thrombosis; 3. Occurrence of serious complications during or after surgery; 4.Absence of preoperative and postoperative lower extremity vascular ultrasound examinations.

Design outcomes

Primary

MeasureTime frame
Deep Vein Thrombosis (DVT);Accuracy;Sensitivity;—

Countries

China

Contacts

Public ContactBo Sun

Jiangsu Provincial Hospital

brian.0411@163.com+86 177 1290 5490

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 1, 2026