Description

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.

 


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