Germanson et al used a CART (Classification and Regression Tree) prediction tree to predict the risk of an unfavorable outcome at 3 months after an aneurysmal subarachnoid hemorrhage. This can be used based on information available during the acute phase of the illness. The authors are from the Universities of Virginia and Iowa.
Patients: 848 adults in the NICSAH I study
Parameters:
(1) level of consciousness
(2) age
(3) Glasgow coma score
(4) location of the bleeding aneurysm
(5) glucose level on admission
Level of Consciousness
Percent Unfavorable Outcome
stupor or coma
71%
alert or drowsy
see table below
Age in Years
Glasgow Coma Score
Basilar Location
Glucose in mg/dL
Percent Unfavorable Outcome
> 60
> 13
NA
NA
27%
> 60
<= 13
NA
NA
63%
<= 60
NA
Yes
NA
35%
46 – 60
NA
No
<= 180
9%
46 – 60
NA
No
> 180
29%
<= 45
NA
No
NA
7%
where:
• I could not find a statement describing what constituted an unfavorable outcome.
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