Related Experiment Video
Updated: Sep 5, 2025
Modeling Neonatal Intraventricular Hemorrhage Through Intraventricular Injection of Hemoglobin
Published on: August 25, 2022
Modelling success after perinatal post-haemorrhagic hydrocephalus: a single-centre study
Saeed Kayhanian1,2, Jonathan Perry Funnell3, Katharina Zühlsdorff4
1Department of Neurosurgery, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK. sk776@cam.ac.uk.
Insights
Predicting shunt success in premature infants with post-haemorrhagic hydrocephalus is possible. Clinical variables like head circumference and weight accurately forecast shunt outcomes, potentially improving care for these vulnerable newborns.
Area of Science:
- Neonatal Neurology
- Paediatric Neurosurgery
- Medical Informatics
Background:
- Post-haemorrhagic hydrocephalus is a frequent complication in premature infants, often necessitating cerebrospinal fluid (CSF) diversion.
- Current management delays permanent CSF diversion due to lack of consensus on optimal timing.
- Outcomes for permanent shunting in this population are suboptimal, with increased failure and infection rates.
Purpose of the Study:
- To develop a predictive model for shunt success in infants with post-haemorrhagic hydrocephalus.
- To identify key clinical variables associated with shunt longevity.
- To establish a proof-of-principle for accurate, data-driven prediction of shunt outcomes.
Main Methods:
- Single-centre retrospective review of 26 infants undergoing permanent shunt insertion for post-haemorrhagic hydrocephalus over 5 years.
- Collection of demographic and clinical data at the time of shunt insertion.
- Development of generalised linear models (GLMs) to predict shunt success at 12 months.
Main Results:
- Ten out of 26 infants experienced shunt failure within 12 months.
- The best GLM achieved a sensitivity of 1 and specificity of 0.90 in predicting shunt success.
- Head circumference, weight, and corrected age at shunting were the most significant predictors of shunt success.
Conclusions:
- Accurate prediction of shunt success in infants with post-haemorrhagic hydrocephalus is feasible using routine clinical data.
- This predictive model serves as a foundation for improving patient selection and timing of interventions.
- Further validation in larger cohorts is necessary to confirm clinical utility and improve outcomes.
Introduction:
Post-haemorrhagic hydrocephalus is common amongst premature infants and one of the leading indications for paediatric cerebrospinal fluid (CSF) diversion. Permanent CSF diversion is often delayed until the infant is older but there is no clear consensus on the timing for this. The outcomes for permanent shunting in this patient group are poor, with higher rates of failure and infection compared to other aetiologies of hydrocephalus.
Methods:
We conduct a single-centre retrospective review of infants with post-haemorrhagic hydrocephalus requiring a permanent shunt insertion over a 5-year period. Demographic and clinical data from time of shunt insertion were collected and used to generate generalised linear models (GLMs) to predict shunt success at 12 months after insertion.
Results:
Twenty-six infants underwent permanent shunting in this period for post-haemorrhagic hydrocephalus, with 10 suffering shunt failure within the first 12 months. The best-performing GLM was able to predict shunt success with a sensitivity of 1 and specificity of 0.90, with head circumference, weight, and corrected age at the time of shunt insertion being the most significantly associated variables for shunt success in this model.
Conclusion:
Our proof-of-principle study suggests that highly accurate prediction of shunt success for infants with post-haemorrhagic hydrocephalus is possible using routinely available clinical variables. Further work is required to test this model in larger cohorts and validate whether pre-operative use can improve outcomes for this patient group.
