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Updated: Jun 20, 2026
Pre-Chiasmatic, Single Injection of Autologous Blood to Induce Experimental Subarachnoid Hemorrhage in a Rat Model
Published on: June 18, 2021
A multiparameter panel method for outcome prediction following aneurysmal subarachnoid hemorrhage
Natacha Turck1, Laszlo Vutskits, Paola Sanchez-Pena
1Biomedical Proteomics Research Group, Department of Structural Biology and Bioinformatics, Medical University Centre, DBSB/CMU, Rue Michel Servet, 1, 1211 Geneva 4, Switzerland. natacha.turck@unige.ch
Purpose:
Accurate early anticipation of long-term irreversible brain damage during the acute phase of patients with aneurysmal subarachnoid hemorrhage (aSAH) remains difficult. Using a combination of clinical scores together with brain injury-related biomarkers (H-FABP, NDKA, UFD1 and S100beta), this study aimed at developing a multiparameter prognostic panel to facilitate early outcome prediction following aSAH.
Methods:
Blood samples of 141 aSAH patients from two separated cohorts (sets of 28 and 113 patients) were prospectively enrolled and analyzed with 14 months of delay. Patients were admitted within 48 h following aSAH onset. A venous blood sample was withdrawn within 12 h after admission. H-FABP, NDKA, UFD1, S100beta and troponin I levels were determined using classical immunoassays. The World Federation of Neurological Surgeons (WFNS) at admission and the Glasgow Outcome Score (GOS) at 6 months were evaluated.
Results:
In the two cohorts, blood concentration of H-FABP, S100beta and troponin I at admission significantly predicted unfavorable outcome (GOS 1-2-3). A multivariate analysis identified a six-parameter panel, including WFNS, H-FABP, S100beta, troponin I, NDKA and UFD-1; when at least three of these parameters were simultaneously above cutoff values, prediction of unfavorable outcome reached around 70% sensitivity in both cohorts for 100% specificity.
Conclusion:
The use of this panel, including four brain injury-related proteins, one cardiac marker and a clinical score, could be a valuable tool to identify aSAH patients at risk of poor outcome.
