Objective: To establish a model based on clinical and anamnestic data easil
y available in the out-of-hospital setting, which facilitates the different
ial diagnosis between cerebral infarction and intracranial hemorrhage. Desi
gn: Retrospective study that simulates a prospective approach. Setting: Eme
rgency Department of the University Hospital in Vienna, Austria. Patients a
nd participants: Data of 224 patients with either intracranial hemorrhage o
r cerebral infarction were prospectively collected. Uni- and multivariate a
nalysis was performed to identify neurological symptoms and anamnestic data
, which were associated with either intracranial hemorrhage or cerebral inf
arction. Measurements and results: Unilateral weakness or sensory loss was
observed more frequently in patients with infarction compared to hemorrhage
(69.8 % vs 11.9 %, P < 0.001). The frequency of patients with impaired lev
el of consciousness was significantly higher in the hemorrhage group compar
ed to the infarction group (59.3 % vs 3.8 %, P < 0.001). A multivariate log
istic regression analysis showed that hypertension (OR = 0.31, 95 % CI = 0.
12-0.76, P = 0.01), diabetes (OR = 0.17, 95 % CI = 0.04-0.68, P = 0.01), an
d unilateral weakness or sensory loss (OR = 0.10, 95 % CI = 0.04-0.26, P <
0.001) were significantly associated with cerebral infarction. Impaired lev
el of consciousness was significantly related to hemorrhage (OR = 13.41, 95
% CI = 3.92-45.91, P < 0.001). On the basis of the logistic regression ana
lysis, we generated a scoring system for the out-of-hospital diagnosis betw
een infarction and hemorrhage. The values of the score lay between -3 and 3. The probability of infarction increases when the score becomes negative,
and the probability for hemorrhage increases when the score becomes positi
ve. Conclusion: Our model is a useful guideline for the differential diagno
sis between cerebral infarction and intracranial hemorrhage in the out-of-h
ospital setting, as it is based on easily available clinical and anamnestic
parameters.