Berbari et al developed two scores for predicting the risk of prosthetic joint infection (PJI). One score is based on baseline data and can help to identify a patient who may benefit from more aggressive management. The authors are from the Mayo Clinic in Rochester.
Patient selection: total hip or total knee arthroplasty
Parameters:
(1) body mass index (BMI)
(2) ASA classification
(3) procedure time in hours
(4) history of prior arthroplasty on the index joint
(5) history of other prior surgery on the index joint
(6) immunosuppression
Parameter |
Finding |
Points |
---|---|---|
body mass index |
< 25 kg per square meter |
0 |
|
25 to 30 kg per square meter |
-3 |
|
31 to 39 kg per square meter |
-3 |
|
>= 40 kg per square meter |
0 |
ASA classification |
1 |
0 |
|
2 |
1 |
|
3 |
3 |
|
4 |
9 |
procedure time |
< 2 hours |
0 |
|
2 to 3 hours |
-2 |
|
3 to 4 hours |
-1 |
|
> 4 hours |
2 |
history of prior arthorplasty |
no |
0 |
|
yes |
3 |
history of other prior surgery |
no |
0 |
|
yes |
2 |
immunosuppression |
no |
0 |
|
yes |
3 |
total score =
= SUM(points for all 6 parameters)
Interpretation:
• minimum score: -5
• maximum score: 19 (maximum shown in model 13)
• The higher the score the greater the of a prosthetic joint infection.
Score |
Probability of Prosthetic Joint Infection |
---|---|
-5 to 4 |
(0.02235 * ((score)^2)) + (0.2763 * (score)) + 0.8782 |
5 to 13 |
(0.1527 * ((score)^2)) - (0.9581 * (score)) + 4.025 |
> 13 |
> 18% |
Performance:
• The c-statistic was 0.72.
Purpose: To evaluate a patient prior to total hip or knee joint replacement using the baseline Mayo Prosthetic Joint Infection Risk Score.
Specialty: Infectious Diseases, Surgery, orthopedic
Objective: risk factors, severity, prognosis, stage
ICD-10: T84.5,