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Updated: Jan 31, 2026

Neuronavigation and Laparoscopy Guided Ventriculoperitoneal Shunt Insertion for the Treatment of Hydrocephalus
Published on: October 14, 2022
Factors Associated with Ventriculoperitoneal Shunt Failures in the First 30 Postoperative Days in Pediatric Patients
Eduardo Orrego-González1, Alejandro Enriquez-Marulanda2, Krishnan Ravindran3
1Fundacion Valle del Lili, Cali, Colombia, USA; Universidad ICESI, Cali, Colombia, USA.
Objective:
Placing of a ventriculoperitoneal shunt (VPS) is one of the most common procedures performed by neurosurgeons. Surgical revision of VPS is a significant cause of patient morbidity and mortality. This study was aimed to provide an analysis of factors related to VPS failures in the first 30 postoperative days in a pediatric cohort.
Methods:
This was a retrospective cohort study of 83 pediatric patients (<18 years old), shunted for the first time at a referral care center, between January 2012 and December 2016. Univariate analysis was used to detect potential predictors of VPS failures within the first 30 postoperative days and in the first 6 months of follow-up. Kaplan-Meier survival curves were used to examine the occurrence of VPS failures over time.
Results:
During the first 30 postoperative days, VPS failures occurred in 21 patients (25.3%). Intraventricular hemorrhage (IVH) (odds ratio [OR], 4.41; 95% confidence interval [CI], 1.44-13.48), cerebrospinal fluid (CSF) alterations (OR, 5.11; 95% CI, 1.37-19.1), and previous external ventricular drain (EVD) (OR, 7.05; 95% CI, 1.18-41.8) were significantly associated with shunt failure during the first postoperative month. Kaplan-Meier survival analysis showed decreased shunt survival for patients with IVH, both during the first 30 days after surgery (P = 0.005, log-rank), and during the 6 months after surgery (P = 0.005, log-rank).
Conclusions:
In this study, we found that in pediatric patients, IVH was associated with VPS failure within the first 30 postoperative days and decreased shunt survival over time. Further larger prospective randomized studies are needed to better understand these results.
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