hip and knee joint disease
Conditions
Interventions
Index test:Development of artificial intelligence tools to diagnose hip and knee prosthesis status using baseline data (including age, gender, weight, comorbidities, etc.), preoperative laboratory tes
Sponsors
West China Hospital, Sichuan University
Eligibility
Sex/Gender
All
Age
18 Years to 80 Years
Inclusion criteria
Inclusion criteria: Patients with clinical diagnosis of periprosthetic infection, prosthetic complications such as loose prosthesis, prosthetic wear, and prosthetic dislocation were included in each group.
Exclusion criteria
Exclusion criteria: Patients were excluded from inclusion if they had received antibiotics within 2 weeks prior to laboratory or radiological evaluation; had undergone any reoperation on the prosthesis; and had a prosthesis implanted for treatment of an acute fracture.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| ROC-AUC;Accuracy; | — |
Secondary
| Measure | Time frame |
|---|---|
| Sensitivity;Specificity;Positive predicative value;Negative predictive value;Confusion matrix; | — |
Countries
China
Contacts
Public ContactShen Bin
West China Hospital, Sichuan University
Outcome results
None listed