Description

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.

 


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