medical decision support medical decision support
Sign In

Infection Risk Score (IRS) of Matos et al for an Open Fracture

Description

Matos et al developed a risk score for predicting infection in a patient with an open fracture. This can help to identify a patient who may benefit from more aggressive management. The authors are from Bahian School of Medicine and Public Health, Roberto Santos General Hospital and Feira de Santana State University in Brazil.


Patient selection: open fracture

 

Parameters:

(1) Gustilo classification of open fractures

(2) Tscherne classification for an open fracture

(3) number of hours with open wound

 

Parameter

Finding

Points

Gustilo classification

I

1

 

II

2

 

IIIA

3

 

IIIB

4

 

IIIC

5

Tscherne classification

I

1

 

II

2

 

III

3

 

IV

4

time with open wound

< 12 hours

1

 

12 to 24 hours

2

 

> 24 hours

3

 

infection risk score =

= SUM(points for all 3 parameters)

 

Interpretation:

• minimum score: 3

• maximum score: 12

• The higher the score the greater the risk for infection.

 

Score

Risk Group

3 to 5

low

6 to 9

intermediate

10 to 12

high

 

Performance:

• The sensitivity was 84% and specificity 54%.

• The area under the ROC curve was 0.71.


To read more or access our algorithms and calculators, please log in or register.

Specialty