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Development and Internal Validation of a Preliminary Risk Prediction Model for Delayed Posthemorrhagic Hydrocephalus
Bo Luo1,2, Heng Dong1,2, Qiuguo He1,2
1Department of Neurosurgery, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Nanchong, Sichuan, China.
Neurocritical Care
|June 15, 2026
Summary
This study identified key risk factors for delayed posthemorrhagic hydrocephalus (DPH) after intraventricular hemorrhage (IVH). A predictive model was developed to forecast DPH occurrence, aiding clinical decision-making.
Area of Science:
- Neurosurgery
- Neurology
- Medical Informatics
Background:
- Intraventricular hemorrhage (IVH) can lead to delayed posthemorrhagic hydrocephalus (DPH).
- Identifying risk factors and predicting DPH is crucial for patient management.
- Current prediction methods for DPH require further development.
Purpose of the Study:
- To identify independent risk factors for DPH in patients with IVH.
- To develop and validate a nomogram prediction model for DPH.
- To assess the clinical applicability of the DPH prediction model.
Main Methods:
- Retrospective analysis of 179 patients with spontaneous IVH.
- Multivariate logistic regression to determine independent risk factors.
- Nomogram construction and validation using ROC curves, calibration curves, and DCA.
Main Results:
- 40.2% of patients developed DPH.
- Independent risk factors included lower GCS, higher Graeb score, EVD use, absence of LCD, and intracranial infection.
- The nomogram showed good discrimination (AUC=0.879) and calibration.
Conclusions:
- A preliminary, internally validated prediction model for DPH after IVH was developed.
- The model demonstrates promising performance but requires external validation.
- Further prospective studies are needed before widespread clinical application.
