Related Experiment Videos
Unenhanced emergency cranial CT: optimizing patient selection with univariate and multivariate analyses
W R Reinus1, K K Erickson, F J Wippold
1Department of Radiology, Jewish Hospital, Washington University Medical Center, St Louis, MO 63110.
Radiology
|March 1, 1993
Summary
Focal neurologic deficits and unresponsiveness are key predictors of cranial computed tomography (CT) abnormalities in emergency patients. This finding can help optimize CT scan selection, improving diagnostic efficiency.
Area of Science:
- Neurology
- Radiology
- Emergency Medicine
Background:
- Cranial computed tomography (CT) is frequently used in emergency departments.
- Identifying predictors for CT abnormalities can optimize patient selection and resource utilization.
Purpose of the Study:
- To identify clinical variables and neurologic examination findings that predict cranial CT abnormalities.
- To develop a strategy for selecting patients who would benefit most from cranial CT.
Main Methods:
- Retrospective review of charts from 1,074 emergency department patients who underwent cranial CT.
- Comparison of 26 clinical variables and neurologic examination results with CT findings.
Main Results:
- Focal neurologic deficit, unresponsiveness, and hypertension were associated with increased risk of CT abnormality.
- Blurred vision, trauma, loss of consciousness, headache, and dizziness were associated with lower risk.
- Multivariate analysis identified focal neurologic deficit and unresponsiveness as effective predictors.
- In patients with negative neurologic findings, intoxication and amnesia predicted positive scans (>10%).
Conclusions:
- A strategy combining positive neurologic findings with intoxication and amnesia could detect 90.7% of positive scans.
- This approach could potentially reduce unnecessary CT scans by 53.9% with a high negative predictive value (97.3%).