Back to Search
Start Over
Prediction of intracranial computed tomography findings in patients with minor head injury by using logistic regression.
- Source :
-
Journal of neurosurgery [J Neurosurg] 2009 Oct; Vol. 111 (4), pp. 688-94. - Publication Year :
- 2009
-
Abstract
- Object: The aim of this study was to develop a decision rule for physicians in developing countries to identify patients with minor head injury who will benefit from emergency brain CT scanning.<br />Methods: Three hundred eighteen patients with a history of blunt head trauma and a Glasgow Coma Scale (GCS) score >or= 13 who had presented within 12 hours of trauma underwent nonenhanced brain CT and were included in this prospective study. Computed tomography findings that necessitated neurosurgical care (either observation or intervention) were considered as positive findings. Logistic regression was used to develop the decision rule.<br />Results: Computed tomography scans were always normal in patients < 65 years old who did not have an obvious head wound, a raccoon sign, vomiting, memory deficit, or a decrease in their GCS score. Patients with 1 major criterion (GCS score < 14, raccoon sign, failure to remember the impact, age > 65 years, or vomiting) or 2 minor criteria (wound at the scalp or GCS score < 15) had an abnormal CT scan in 13% of the cases.<br />Conclusions: The decision rule developed by the authors appears to be 100% sensitive and 46% specific for positive findings on brain CT and will, in developing countries, help clarify the decision to obtain scans.
- Subjects :
- Adolescent
Adult
Aged
Developing Countries
Female
Guidelines as Topic
Humans
Logistic Models
Male
Middle Aged
Predictive Value of Tests
Prospective Studies
Rural Population
Sensitivity and Specificity
Young Adult
Craniocerebral Trauma diagnosis
Craniocerebral Trauma diagnostic imaging
Glasgow Coma Scale
Tomography, X-Ray Computed
Trauma Severity Indices
Subjects
Details
- Language :
- English
- ISSN :
- 1933-0693
- Volume :
- 111
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of neurosurgery
- Publication Type :
- Academic Journal
- Accession number :
- 19284234
- Full Text :
- https://doi.org/10.3171/2009.2.JNS08909