Bruce et al developed a logistic regression model for predicting the diagnosis of concussion in a professional hockey player. In addition, the authors reported a more convenient tool for evaluating a 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 and any visible sign:
(1) loss of consciousness or motionless
(2) slow to get up
(3) motor incoordination or balance problem
(4) blank or vacant look
(5) clutching the head
(6) visible facial injury with any of the above (not used in implementation since requires "one of the above")
Parameters associated with mechanism of injury:
(1) loss of consciousness or motionless
(2) motor incoordination or balance problems
(3) result from a fight
(4) initial hit
(5) secondary contact with ice
Parameter
Finding
Points
loss of consciousness or motionless
no
0
yes
1.5
incoordination or balance problems
no
0
yes
1.5
fight
no
0
yes
1.5
initial hit
by stick
-1.5
by shoulder
1.0
other
0
secondary contact with ice
no
0
yes
1.5
score =
= SUM(points for all 5 parameters)
Interpretation:
• minimum score: -1.5
• maximum score: 7.0
Total Score
Risk Group
Percent with Concussion
-1.5 to 0
low
3-4%
0.5 to 1.5
intermediate
15-20%
2.0 to 7.0
high
43-50%
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