FindTrial
Sign In

Machine Learning-Based Prediction Model for Postoperative Infection Risk Requiring Secondary Surgery in Open Lower Extremity Fractures: A Retrospective Cohort Study

Machine Learning-Based Prediction Model for Postoperative Infection Risk Requiring Secondary Surgery in Open Lower Extremity Fractures: A Retrospective Cohort Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600116486
Enrollment
Unknown
Registered
2026-01-12
Start date
2026-01-12
Completion date
Unknown
Last updated
2026-01-27

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

Conditions

Open lower extremity fractures.

Interventions

Observation group of Open Fractures of the Lower extremities:None

Sponsors

Army Medical Center of PLA
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Aged 18 years or older; 2.Diagnosed with an open fracture of the lower extremity (Gustilo-Anderson classification Type I-III); 3.Underwent initial surgical treatment at our center; 4.Have complete and accessible clinical medical records.

Exclusion criteria

Exclusion criteria: 1.Pathological fracture; 2.Pre-existing active infection in the affected limb or severe vascular/neuropathic disease prior to the injury; 3.Follow-up duration of less than 1 month or loss to follow-up; 4.Excessive missing data (>20%) in critical clinical variables.

Design outcomes

Primary

MeasureTime frame
An infection that requires a second operation occurs after the surgery;—

Secondary

MeasureTime frame
Length of hospital stay;Treatment cost;—

Countries

China

Contacts

Public ContactChen Wei

Army Medical Center of PLA

chenwei422@hotmail.com+86 23 6872 9230

Outcome results

None listed

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