Risk Prediction Model of Bruce et al for a Professional Hockey Player with Possible Concussion

Description

Bruce et al developed a logistic regression model for predicting the diagnosis of concussion in a professional hockey player. The authors are from University of Missouri, Psychological and Neurobehavioral Associates, University of Calgary, University of Toronto and Ottawa Sports Medicine Center.

Patient selection: professional hockey player with head impact

Parameters:

(1) loss of consciousness or motionless

(2) incoordination or balance problems

(3) fight

(4) initial hit

(5) secondary contact

Parameter	Finding	Points
loss of consciousness or motionless	no	0
	yes	1.70
incoordination or balance problems	no	0
	yes	1.39
fight	no	0
	yes	1.52
initial hit	by stick	-1.44
	by shoulder	0.85
	other	0
secondary contact	with ice	1.62
	none	-0.09
	with other surface	0

X =

= SUM(points for all 5 parameters) - 2.76

probability of subsequent concussion diagnosis =

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

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Risk Prediction Model of Bruce et al for a Professional Hockey Player with Possible Concussion

Description

Specialty