Surgical Lung Injury Prediction (SLIP) Score of Kor et al for Risk of Acute Lung Injury (ALI) Following Surgery

Description

Kor et al developed the Surgical Lung Injury Prediction (SLIP) model to predict the risk of acute lung injury after surgery. This can help to identify a patient who may benefit from more aggressive management or risk mitigation. The authors are from the Mayo Clinic and National Jewish Health (Denver).

Patient selection: surgical patient

Outcome: acute lung injury or adult respiratory distress syndrome (ALI, ARDS)

Parameters:

(1) type of surgery

(2) diabetes mellitus

(3) COPD

(4) GERD (gastroesophageal reflux disease)

(5) alcohol abuse

Parameter	Finding	Points
type of surgery	high risk cardiac	19
	high risk vascular	32
	high risk thoracic	16
	other	0
diabetes mellitus	absent	0
	present	6
COPD	absent	0
	present	10
GERD	absent	0
	present	7
alcohol abuse	absent	0
	present	11

where:

• The point assignment is based on multiplying the beta-coefficient by 10 then rounding.

Interpretation:

• minimum score: 0

• maximum score: 66

• The higher the score the greater the risk of ALI.

Score	Risk of ALI	Percent
< 10	low	0.5%
10 to 26	moderate	2.6%
>= 27	high	12.2%

Performance:

• The area under the ROC curve is 0.82.

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Surgical Lung Injury Prediction (SLIP) Score of Kor et al for Risk of Acute Lung Injury (ALI) Following Surgery

Description

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