Abstract
Objective: To investigate the abnormalities detected in patients with acute atypical stroke symptoms in the emergency department and to determine the relationship between clinical and abnormal neuroimaging findings.
Material and Methods: The study was approved by the local ethics committee. We retrospectively reviewed the medical and imaging records of 117 consecutive patients (male/female=51/66; mean age±standard deviation=10.9±4.8 years) who had brain computed tomography (CT) and/or magnetic resonance imaging (MRI) between January 2016 and January 2018. Categorical and numerical variables were analyzed by Chi-square, Fisher’s exact, t-tests and logistic regression analysis was performed.
Results: The most common complaints were headache (25.6%), vomiting (19.6%), and confusion (17.9%). 20.5% of the patients had clinical-related comorbidities such as vasculopathy, congenital afibrinogenemia, 39.3% had abnormal neurological examination findings, and 35% had abnormal neuroimaging findings. In 12 patients, a disorder requiring urgent treatment was detected based on their clinical features, laboratory and neuroimaging findings. (acute arterial ischemic stroke [n=1], dural sinus thrombosis [n=1], neoplasia [n=3], meningitis [n=3], and encephalitis [n=4]). There were statistically significant correlations between the presence of comorbdities, confusion, abnormal neurological examination and neuroimaging findings (p=0.045). In predicting abnormal neuroimaging findings in logistic regression analysis, confusion and abnormal neurological examination findings were found to be significant (p=0.006). Abnormal findings detected by MRI (45.2%) were significantly higher than CT (17.1%) (p<0.001).
Conclusion: The disorders other than stroke were more frequent in patients with acute atypical stroke like complaints than the stroke. In patients with a history of clinical-related comorbidities, confusion and abnormal neurological examinations, abnormal neuroimaging findings were more frequent.
Keywords: Computed tomography, Magnetic resonance imaging, Stroke
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