Chronic, Shunt-Dependent Hydrocephalus in Aneurysmal Subarachnoid Hemorrhage: Incidence, Risk Factors, Clinical

Lydia Larsson1, Fredrik Vedung1, Johan Virhammar2

  • 1Department of Medical Sciences, Section of Neurosurgery, Uppsala University, Uppsala, Sweden.

World Neurosurgery
|February 20, 2025
PubMed

Insights

Chronic shunt-dependent hydrocephalus (SDHC) affects 13% of patients post-aneurysmal subarachnoid hemorrhage (aSAH). Risk factors include severe injury and complications, with distinct phenotypes influencing shunt surgery outcomes.

Area of Science:

  • Neurosurgery
  • Neurology
  • Critical Care Medicine

Background:

  • Aneurysmal subarachnoid hemorrhage (aSAH) can lead to chronic shunt-dependent hydrocephalus (SDHC).
  • Understanding SDHC incidence, risk factors, and clinical presentations post-aSAH is crucial for patient management.
  • Shunt surgery is a common intervention for SDHC, but its efficacy varies among patients.

Purpose of the Study:

  • To determine the incidence, risk factors, clinical phenotypes, and shunt surgery outcomes in patients with SDHC following aSAH.
  • To identify specific patient groups who benefit most from shunt placement.
  • To characterize the diverse clinical presentations of SDHC after aSAH.

Main Methods:

  • Observational, single-center study including 849 aSAH patients (2008-2018).
  • Evaluation of demographic, injury severity, treatment variables, and hydrocephalus presentation.
  • Multivariate logistic regression used to identify risk factors for SDHC.

Main Results:

  • 107 patients (13%) developed SDHC requiring shunt surgery.
  • Risk factors included worse neurological grade, larger initial ventricles, external ventricular drain (EVD) use, decompressive craniectomy, and meningitis.
  • Six SDHC phenotypes were identified, with 3 showing significant improvement in modified Rankin Scale (mRS) post-surgery.

Conclusions:

  • Chronic SDHC is a frequent complication after aSAH, especially in severe cases.
  • Distinct clinical phenotypes of SDHC exist and impact shunt surgery response.
  • Recognizing these phenotypes can optimize patient selection and surgical expectations.
Abstract

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