Laboratory biomarkers of delayed cerebral ischemia after subarachnoid hemorrhage: a systematic review

Ramazan Jabbarli1, Daniela Pierscianek2, Marvin Darkwah Oppong2

  • 1Department of Neurosurgery, University Hospital of Essen, D-45147, Essen, Germany. ramazan@jabbarli.com.

Neurosurgical Review
|October 12, 2018
PubMed

Insights

No single biomarker reliably predicts delayed cerebral ischemia (DCI) after subarachnoid hemorrhage (SAH). However, 21 biomarkers, including genetic and protein markers, show potential for predicting DCI risk.

Area of Science:

  • Neurology
  • Biomarker Research
  • Critical Care Medicine

Background:

  • Delayed cerebral ischemia (DCI) is a serious complication following subarachnoid hemorrhage (SAH).
  • Identifying patients at risk for DCI is crucial for timely intervention.
  • Clinical and radiographic features of SAH may offer predictive insights.

Purpose of the Study:

  • To systematically review existing evidence on the predictive value of blood and cerebrospinal fluid (CSF) biomarkers for DCI after SAH.
  • To identify reliable biomarkers for early detection of DCI and vasospasm in SAH patients.

Main Methods:

  • Systematic literature search of PubMed, Scopus, Web of Science, and Cochrane Library databases up to July 15, 2018.
  • Inclusion of original articles and meta-analyses reporting correlations between biomarkers and DCI/vasospasm in SAH patients.
  • Quality assessment using QUIPS and STARD guidelines, and evidence level assessment using GRADE guidelines.

Main Results:

  • No single biomarker demonstrated Level I evidence for predicting DCI/vasospasm.
  • Twenty-one biomarkers achieved Level II evidence, indicating predictive potential.
  • Six genetic biomarkers (SNPs in EET pathways, COMT, HMGB1, ACE, PAI-1, Hp) and 15 non-genetic biomarkers (e.g., pNF-H, ADAMTS13, Copeptin, GFAP, NT-proBNP, hs-TnT, NLR) were identified.

Conclusions:

  • Currently, no single biomarker offers definitive prediction of DCI after SAH.
  • A combination of genetic and protein biomarkers shows promise for predicting DCI risk.
  • Further validation of a panel of selected biomarkers in large SAH cohorts is recommended.

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