Model of Frohlich et al for Predicting Multiple Organ Failure (MOF) After Trauma

Description

Frohlich et al developed a model for predicting multiple organ failure in a patient with multiple trauma. This can help to identify a patient who may benefit from more aggressive management. The authors are from the Committee on Emergency Medicine, Intensive Care and Trauma Management of the German Trauma Society.

Patient selection: multiple trauma

Outcome: multiple organ failure (MOF)

Parameters:

(1) gender

(2) ISS score

(3) number of packed RBC units transfused between ED arrival and ICU admission

(4) head AIS score

(5) thoracic AIS score

(6) coagulopathy

(7) Glasgow coma score (GCS) at scene

(8) age in years

(9) systolic blooe pressure in mm Hg

(10) base excess in mmol/L

Parameter	Finding	beta coefficient
gender	female	0
	male	0.298
ISS		(ISS) * 0.033
packed RBC units	0	0
	1 to 9	0.578
	>= 10	1.077
head AIS score	< 3	0
	>= 3	0.416
thoracic AIS score	< 3	0
	>= 3	0.097
coagulopathy	no	0
	yes	0.478
GCS at scene	9 to 15	0
	3 to 8	0.854
age in years		(years) * 0.016
systolic blood pressure	> 90 mm Hg	0
	<= 90 mm Hg	0.408
base excess	> -3 mmol/L	0
	-3 to -6	0.331
	-6 to -15	0.448
	< -15	0.931

X =

= SUM(beta coefficients for all 10 parameters) - 3.767

probability of MOF =

= 1 / (1 + EXP((-1) * X)

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Model of Frohlich et al for Predicting Multiple Organ Failure (MOF) After Trauma

Description

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