Markers of brain injury in patients with aneurysmal subarachnoid hemorrhage

Jincai Fang1, Jianchao Wang1, Yifei Wang1

  • 1Neurosurgery Department, Second Affiliated Hospital of Jiaxing University, Jiaxing, China.

Insights

Biomarkers for brain injury, including neurofilament-light (NF-L) and glial fibrillary acidic protein (GFAP), can predict postoperative cognitive dysfunction (POCD) in patients with cerebral aneurysmal subarachnoid haemorrhage (aSAH). These markers offer valuable insights for patient management.

Area of Science:

  • Neuroscience
  • Neurology
  • Biochemistry

Background:

  • Cerebral aneurysmal subarachnoid haemorrhage (aSAH) poses a significant risk for developing postoperative cognitive dysfunction (POCD).
  • Identifying reliable predictors of POCD is crucial for improving patient outcomes after aSAH surgery.

Purpose of the Study:

  • To investigate the correlation between serum changes and cerebrospinal fluid (CSF) brain injury (BI) markers with POCD in aSAH patients.
  • To evaluate the predictive value of specific BI markers for POCD development.

Main Methods:

  • 120 aSAH patients were assessed 3 months post-surgery using the Montreal Cognitive Assessment (MoCA) scale to classify them into normal cognition or cognitive dysfunction (CD) groups.
  • Serum levels of BI markers, including neurofilament-light (NF-L) protein, Ubisquitin C-terminal hydrolase L1 (UCH-L1), Glial Fibrillary Acidic Protein (GFAP), and neuron specific enolase (NSE), were analyzed.
  • Correlations between serological changes, BI marker levels, and POCD were statistically analyzed, considering aSAH severity using the Hunt-Hess grading scale.

Main Results:

  • Mean levels of NF-L, UCH-L1, GFAP, and NSE were significantly higher in patients with severe aSAH compared to those with mild aSAH.
  • The combined prediction of these four BI markers for POCD demonstrated high sensitivity (90.80%), specificity (84.20%), and accuracy (82.80%), outperforming individual marker predictions (p < 0.05).
  • The area under the curve (AUC) for the combined prediction was 0.938, indicating a strong predictive performance.

Conclusions:

  • BI markers NF-L, UCH-L1, GFAP, and NSE show potential as reliable predictors of POCD in aSAH patients.
  • These markers warrant consideration as valuable tools for assessing and managing POCD risk following aSAH.
  • Further research can establish reference values for these markers in clinical practice.
Abstract

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