Chen et al reported several models for predicting thrombolysis in a stroke patient. The authors are from Soochow University.
NOTE: In addition to this score, the author also gives a logistic regression model and nomogram.
Patient selection: ischemic stroke
Parameters:
(1) age in years
(2) time of day to hospital (unrelated to weekend)
(3) NIHSS score
(4) great vessel involvement (not further specified)
(5) facial paralysis
(6) dizziness
(7) headache
(8) history of stroke
(9) percent neutrophils in differential count
Parameter
Finding
Points
age in years
<= 59 years
0
60 to 69 years
-1
70 to 79 years
>= 80 years
-2
time of day
day (8 AM to 5 PM)
evening (5 PM to 8 AM)
2
NIHSS
< 4
>= 4
1
great vessel
no
yes
facial paralysis
dizziness
headache
-3
history of stroke
percent neutrophils
< 50%
50 to 70%
> 70%
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: -11
• maximum score: 5
Total Score
Risk Category
Thrombolysis
<= -2
low
10-15%
-1 or 0
intermediate
28-30%
1 to 5
high
38%
Performance:
• The area under the ROC curves is 0.80 for the derivation and 0.75 for the validation cohort.
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Specialty: Hematology Oncology, Neurology
