Clinical Neurochemistry of Subarachnoid Hemorrhage: Toward Predicting Individual Outcomes via Biomarkers of Brain Energy Metabolism

ACS Chem Neurosci. 2015 Dec 16;6(12):1902-5. doi: 10.1021/acschemneuro.5b00299. Epub 2015 Nov 23.

Abstract

The functional outcome of patients with subarachnoid hemorrhage is difficult to predict at the individual level. The monitoring of brain energy metabolism has proven to be useful in improving the pathophysiological understanding of subarachnoid hemorrhage. Nonetheless, brain energy monitoring has not yet clearly been included in official guidelines for the management of subarachnoid hemorrhage patients, likely because previous studies compared only biological data between two groups of patients (unfavorable vs favorable outcomes) and did not determine decision thresholds that could be useful in clinical practice. Therefore, this Viewpoint discusses recent findings suggesting that monitoring biomarkers of brain energy metabolism at the level of individuals can be used to predict the outcomes of subarachnoid hemorrhage patients. Indeed, by taking into account specific neurochemical patterns obtained by local or global monitoring of brain energy metabolism, it may become possible to predict routinely, and with sufficient sensitivity and specificity, the individual outcomes of subarachnoid hemorrhage patients. Moreover, combining both local and global monitoring improves the overall performance of individual outcome prediction. Such a combined neurochemical monitoring approach may become, after prospective clinical validation, an important component in the management of subarachnoid hemorrhage patients to adapt individualized therapeutic interventions.

Keywords: Cerebral microdialysis; delayed cerebral ischemia; elevated hypoxic lactate; functional outcome; metabolic crisis; metabolic ratio; retrograde jugular catheterization; subarachnoid hemorrhage.

MeSH terms

  • Biomarkers / metabolism
  • Brain / metabolism*
  • Energy Metabolism / physiology*
  • Humans
  • Subarachnoid Hemorrhage / pathology*
  • Subarachnoid Hemorrhage / physiopathology*

Substances

  • Biomarkers