Medical College of Wisconsin
CTSICores SearchResearch InformaticsREDCap

Intracranial hemorrhage in children younger than 3 years: prediction of intent. Arch Pediatr Adolesc Med 2002 Mar;156(3):252-7 PMID: 11876669

Pubmed ID

11876669

Abstract

OBJECTIVE: To determine whether certain computed tomographic imaging patterns in infants and young children with intracranial hemorrhage help predict intentional compared with unintentional injuries.

DESIGN: Retrospective consecutive case series over a 10-year period.

PATIENTS: Two hundred ninety-three children younger than 3 years with intracranial hemorrhage.

MAIN OUTCOME MEASURES: The sensitivity and specificity of computed tomographic imaging patterns for intentional head injury.

SETTING: Regional pediatric medical center.

RESULTS: Four variables used in the multiple logistic regression analysis for predicting intentional head injury were statistically significant (P<.05): subdural hematoma located over the cerebral convexities, hematoma within the interhemispheric subdural space, hygroma (nonhemic subdural fluid) with intracranial hemorrhage, and absence of a skull fracture with intracranial hemorrhage. The prediction model for the diagnosis of intentional head trauma using combinations of these 4 variables and a.45 probability cutoff point indicated a sensitivity of 84% (95% confidence interval, 78%-90%) and a specificity of 83% (95% confidence interval, 74%-89%).

CONCLUSION: Computed tomographic imaging patterns of intracranial hemorrhage in children younger than 3 years help predict whether the injury was intentional.

Author List

Wells RG, Vetter C, Laud P

Author

Purushottam W. Laud PhD Professor in the Institute for Health and Equity department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Age Distribution
Child, Preschool
Confidence Intervals
Female
Humans
Incidence
Infant
Infant, Newborn
Intracranial Hemorrhages
Logistic Models
Male
Multivariate Analysis
Predictive Value of Tests
Retrospective Studies
Risk Factors
Sensitivity and Specificity
Severity of Illness Index
Sex Distribution
Survival Rate
Tomography, X-Ray Computed
Wisconsin
jenkins-FCD Prod-332 f92a19b0ec5e8e1eff783fac390ec127e367c2b5