Clinicoradiological Predictors of Severity of Traumatic Intra-Abdominal Injury in Pediatric Patients: A Retrospective Study

Background Adequate assessment of traumatic injury in patients of all age groups is essential for timely intervention and prevention of mortality and morbidity. This study aimed to assess the value of certain clinical as well as radiological factors as predictors of severity of the intra-abdominal injury as detected on computed tomography (CT) and to review the guidelines, protocols, and practices followed in imaging of abdominal trauma in patients of pediatric age group. Methods This retrospective observational study included 263 pediatric patients (18 years of age or younger) who presented to the emergency department (ED) with a history of trauma to the abdomen. The study was conducted over a period of 12 months. Correlation of five variables, i.e., age of the child, focused abdominal sonography in trauma (FAST) status, mechanism of injury, presenting complaints and clinical features (hypotension, tachycardia, etc), fractures identified on trauma X-ray series, was done with CT findings (severity of injury). All five variables were statistically analyzed and p-values were derived for age, mechanism of injury, presenting complaints, clinical features, and trauma x-ray series, while parameters like sensitivity and specificity were determined for FAST status Results All variables well correlated with the severity of injury with p-values <0.05. On multivariate analysis, FAST status had the highest (47.94) odds ratio among the five variables for predicting severe intra-abdominal injury while vital signs had the lowest (0.076). Further, age group of 0-4 years was found most prone to higher grades of injury with odds ratio of 7.83. Motor vehicle crash had odds ratio of 26.6 for severe injury, the highest among mechanisms of injury. While for FAST status, sensitivity was found to be 89.4%, specificity 85%, and negative predictive value 90%, trauma series radiographs had a sensitivity of 42.27%, specificity of 77.85% and negative predictive value of 60.55%. Conclusion Clinical parameters and traditional imaging techniques can predict the severity of injury on CT and guide further imaging and intervention.