Berbari et al developed two scores for predicting the risk of prosthetic joint infection (PJI). One score is based on data during the month after surgery 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
(7) signs of wound draniange within 1 month of surgery
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 |
8 |
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 |
wound drainage within 1 month |
no |
0 |
|
yes |
7 |
Differences from baseline score:
(1) ASA 4 given 8 instead of 9 points
(2) addition of points for wound drainage
total score =
= SUM(points for all 7 parameters)
Interpretation:
• minimum score: -5
• maximum score: 25 (maximum shown in model 17)
• The higher the score the greater the risk of a prosthetic joint infection.
Score |
Probability of Prosthetic Joint Infection |
---|---|
-5 to 5 |
(0.0296 * ((score)^2)) + (0.2871 * (score)) + 0.8585 |
6 to 17 |
(0.2448 * ((score)^2)) - (2.644 * (score)) + 10.71 |
> 17 |
> 37% |
Performance:
• The c-statistic was 0.72.
Purpose: To evaluate a patient in the month after a total hip or knee joint replacement using the baseline Mayo Prosthetic Joint Infection Risk Score.
Specialty: Infectious Diseases, Surgery, orthopedic
Objective: severity, prognosis, stage
ICD-10: T84.5,