Intracranial hemorrhage in children younger than 3 years: prediction of intent. Arch Pediatr Adolesc Med 2002 Mar;156(3):252-7
Date
03/07/2002Pubmed ID
11876669DOI
10.1001/archpedi.156.3.252Scopus ID
2-s2.0-0036195208 (requires institutional sign-in at Scopus site) 38 CitationsAbstract
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 PAuthor
Purushottam W. Laud PhD Professor in the Institute for Health and Equity department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
Age DistributionChild, 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