Description

Namba et al reported a tool for predicting surgical site infection (SSI) after spinal surgery. This can help to identify a patient who may benefit from more aggressive management. The authors are from Sagamidai Hospital, Machida Keisen Hospital, Kitasato University and St. Luke's International Hospital in Japan.


Patient selection: spinal surgery

 

Parameters:

(1) blood loss in mL

(2) diabetes mellitus

(3) acuity of the surgery

(4) preoperative serum albumin in g/dL

(5) skin disease

 

Parameter

Finding

Points

blood loss

<= 400 mL

0

 

> 400 mL

1

diabetes mellitus

absent

0

 

present

1

surgical acuity

emergency

2

 

elective or urgent

0

preoperative serum albumin

>= 3.2 g/dL

0

 

< 3.2 g/dL

2

skin disease

absent

0

 

present

3

 

total score =

= SUM(points for all 5 parameters)

 

Interpretation:

minimum score: 0

maximum score: 9

 

Total Score

Risk Level

Incidence SSI

0 or 1

low

3%

2

moderate

18%

3 to 9

high

>= 38.5%

 

Performance:

The area under the ROC curve is 0.73


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