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Endoscopic third ventriculostomy in the treatment of childhood hydrocephalus
Abhaya V Kulkarni1, James M Drake, Conor L Mallucci
1Hospital for Sick Children, Toronto, Ontario, Canada. abhaya.kulkarni@sickkids.ca
Insights
A new model accurately predicts endoscopic third ventriculostomy (ETV) success for hydrocephalus treatment in children. This helps identify patients likely to benefit, potentially avoiding long-term shunt complications.
Area of Science:
- Neurosurgery
- Pediatric Neurology
- Medical Informatics
Background:
- Hydrocephalus is a common neurological condition in children.
- Endoscopic third ventriculostomy (ETV) is a surgical treatment option.
- Predicting ETV success is crucial for optimizing patient care.
Purpose of the Study:
- To develop and validate a predictive model for ETV success in pediatric hydrocephalus.
- To identify key individual characteristics influencing ETV outcomes.
- To create a tool for better patient selection for ETV.
Main Methods:
- Analysis of 618 consecutive ETV procedures across 12 international institutions.
- Development of a multivariable logistic regression model using a training dataset (70%).
- Validation of the model on an independent dataset (30%) to assess performance.
Main Results:
- The predictive model demonstrated good fit and discrimination in both training and validation sets (C-statistics of 0.70 and 0.68, respectively).
- Key predictors identified included patient age, cause of hydrocephalus, and prior cerebrospinal fluid shunt history.
- A simplified ETV Success Score was developed, closely approximating predicted success probabilities.
Conclusions:
- Accurate identification of children likely to succeed with ETV is now possible.
- This predictive tool can help spare children from potential long-term complications associated with cerebrospinal fluid shunting.
- Optimized patient selection for ETV can improve treatment outcomes in pediatric hydrocephalus.
Objective:
To develop a model to predict the probability of endoscopic third ventriculostomy (ETV) success in the treatment for hydrocephalus on the basis of a child's individual characteristics.
Study Design:
We analyzed 618 ETVs performed consecutively on children at 12 international institutions to identify predictors of ETV success at 6 months. A multivariable logistic regression model was developed on 70% of the dataset (training set) and validated on 30% of the dataset (validation set).
Results:
In the training set, 305/455 ETVs (67.0%) were successful. The regression model (containing patient age, cause of hydrocephalus, and previous cerebrospinal fluid shunt) demonstrated good fit (Hosmer-Lemeshow, P = .78) and discrimination (C statistic = 0.70). In the validation set, 105/163 ETVs (64.4%) were successful and the model maintained good fit (Hosmer-Lemeshow, P = .45), discrimination (C statistic = 0.68), and calibration (calibration slope = 0.88). A simplified ETV Success Score was devised that closely approximates the predicted probability of ETV success.
Conclusions:
Children most likely to succeed with ETV can now be accurately identified and spared the long-term complications of CSF shunting.
