Equations of Gatti et al for Predicting Deep Sternal Wound Infection (DSWI) After Bilateral Internal Thoracic Artery Grafting: Preoperative Model

Description

Gatti et al evaluated patients for the risk of deep sternal wound infection (DSWI) following bilateral internal thoracic artery (BITA) grafting. They reported 2 predictive models, with one based on preoperative findings. The authors are from Ospedali Riuniti and University of Trieste in Italy.

Patient selection: CABG using bilateral internal thoracic artery grafts

Outcome: deep sternal wound infection (DSWI) and mediastinitis

Parameters:

(1) sex

(2) body mass index (BMI) in kilograms per square meter

(3) diabetes status

(4) glycemic control

(5) chronic lung disease

(6) chronic dialysis

(7) congestive heart failure

(8) surgical acuity

Parameter	Finding	Points
sex	male	0
	female	99
BMI	<= 30	0
	> 30	33
diabetes	none	0
	on oral hypoglycemic agent	49
	on insulin	89
glycemic control	good or fair	0
	poor	58
chronic lung disease	absent	0
	present	100
chronic dialysis	absent	0
	present	92
congestive heart failure	absent	0
	present	58
surgical acuity	elective	0
	urgent	48

total score =

= SUM(points for all 8 parameters)

Interpretation:

• minimum score: 0

• maximum score: 577

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

Total Score	Risk DSWI
< 180	< 10%
180-222	10%
223-254	15%
255-280	20%
281-303	25%
304-324	30%
325-343	35%
344-362	40%
363-380	45%
381-399	50%
400-417	55%
418-437	60%
438-458	65%
>= 459	>= 70%

Performance:

• The area under the ROC curve is 0.72.

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Equations of Gatti et al for Predicting Deep Sternal Wound Infection (DSWI) After Bilateral Internal Thoracic Artery Grafting: Preoperative Model

Description

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