RESUMO
OBJECTIVE: The aim of this study was to delineate the clinical and socioeconomic variables associated with shunt revision in pediatric patients presenting to the emergency department (ED) with concerns of ventricular shunt malfunction. METHODS: A retrospective analysis of pediatric ED consultations for shunt malfunction over a 1-year period was conducted, examining clinical symptoms, radiographic findings, and socioeconomic variables. Sensitivities, specificities, and positive and negative predictive values were calculated for each presenting symptom collected. Logistic regression models were used to estimate the odds ratios for shunt revision based on these variables, and multivariate analyses were used to adjust for potential confounders. RESULTS: Of the 271 ED visits from 137 patients, 19.2% resulted in shunt revision. Increased ventricle size on imaging (OR 11.38, p < 0.001), shunt site swelling (OR 9.04, p = 0.01), bradycardia (OR 7.08, p < 0.001), and lethargy (OR 5.77, p < 0.001) were significantly associated with shunt revision. Seizure-like activity was inversely related to revision needs (OR 0.24, p < 0.001). Patients with private or self-pay insurance were more likely to undergo revision compared with those with public insurance (p = 0.028). Multivariate analysis further confirmed the significant associations of increased ventricle size, lethargy, and bradycardia with shunt revision, while also revealing that seizure-like activity inversely affected the likelihood of revision. Patients with severe cognitive and language disabilities were more likely to be admitted to the hospital from the ED but were not more likely to undergo revision. CONCLUSIONS: Clinical signs such as increased ventricle size, shunt site swelling, bradycardia, and lethargy may be strong predictors of the need for shunt revision in pediatric patients presenting to the ED with concerns of shunt malfunction. Socioeconomic factors play a less clear role in predicting shunt revision and admission from the ED; however, the nature of their influence is unclear. These findings can help inform clinical decision-making and optimize resource utilization in the ED.