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Article

Can Aspartate Aminotransferase in the Cerebrospinal Fluid Be a Reliable Predictive Parameter?

1
Biomedical Centre, Masaryk Hospital Usti nad Labem, 400 11 Usti nad Labem, Czech Republic
2
Department of Clinical Immunology and Allergology, Faculty of Medicine and University Hospital in Hradec Kralove, Charles University in Prague, 500 03 Hradec Kralove, Czech Republic
3
Laboratory for Cerebrospinal Fluid, Neuroimmunology, Pathology and Special Diagnostics Topelex, 190 00 Prague, Czech Republic
4
Department of Neurosurgery, Masaryk Hospital Usti nad Labem, J. E. Purkinje University, 400 11 Usti nad Labem, Czech Republic
5
Department of Medical Biophysics, Faculty of Medicine in Hradec Kralove, Charles University, 500 03 Hradec Kralove, Czech Republic
6
Department of Neurosurgery, 2nd Faculty of Medicine, Charles University, 110 00 Prague, Czech Republic
7
Department of Anesthesiology, Perioperative Medicine and Intensive Care, Masaryk Hospital Usti nad Labem, J. E. Purkinje University, 400 11 Usti nad Labem, Czech Republic
8
International Clinical Research Center, St. Anne’s University Hospital, 656 91 Brno, Czech Republic
9
Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, 117 20 Prague, Czech Republic
*
Author to whom correspondence should be addressed.
Brain Sci. 2020, 10(10), 698; https://doi.org/10.3390/brainsci10100698
Received: 7 September 2020 / Revised: 20 September 2020 / Accepted: 23 September 2020 / Published: 1 October 2020
(This article belongs to the Special Issue Neurosurgery for Cerebral Aneurysms)
Brain ischemia after central nervous system (CNS) bleeding significantly influences the final outcome of patients. Catalytic activities of aspartate aminotransferase (AST) in the cerebrospinal fluid (CSF) to detect brain ischemia were determined in this study. The principal aim of our study was to compare the dynamics of AST in 1956 CSF samples collected from 215 patients within a 3-week period after CNS hemorrhage. We compared concentrations of the AST catalytic activities in the CSF of two patient groups: survivors (Glasgow Outcome Score (GOS) 5–3) and patients in a vegetative state or dead (GOS 2–1). All statistical evaluations were performed using mixed models and the F-test adjusted by Kenward and Roger and the Bonferroni adjustment for multiple tests. The significantly higher catalytic activities of AST in the CSF from patients with the GOS of 2–1 when compared to those who survived (GOS 5–3, p = 0.001) were found immediately after CNS haemorrhage. In the further course of time, the difference even increased (p < 0.001). This study confirmed the key association between early signs of brain damage evidenced as an elevated AST activity and the prediction of the final patient’s clinical outcome. The study showed that the level of AST in the CSF could be the relevant diagnostic biomarker of the presence and intensity of brain tissue damage. View Full-Text
Keywords: CNS haemorrhage; brain tissue injury; cerebrospinal fluid; aspartate aminotransferase CNS haemorrhage; brain tissue injury; cerebrospinal fluid; aspartate aminotransferase
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MDPI and ACS Style

Kelbich, P.; Radovnický, T.; Selke-Krulichová, I.; Lodin, J.; Matuchová, I.; Sameš, M.; Procházka, J.; Krejsek, J.; Hanuljaková, E.; Hejčl, A. Can Aspartate Aminotransferase in the Cerebrospinal Fluid Be a Reliable Predictive Parameter? Brain Sci. 2020, 10, 698. https://doi.org/10.3390/brainsci10100698

AMA Style

Kelbich P, Radovnický T, Selke-Krulichová I, Lodin J, Matuchová I, Sameš M, Procházka J, Krejsek J, Hanuljaková E, Hejčl A. Can Aspartate Aminotransferase in the Cerebrospinal Fluid Be a Reliable Predictive Parameter? Brain Sciences. 2020; 10(10):698. https://doi.org/10.3390/brainsci10100698

Chicago/Turabian Style

Kelbich, Petr, Tomáš Radovnický, Iva Selke-Krulichová, Jan Lodin, Inka Matuchová, Martin Sameš, Jan Procházka, Jan Krejsek, Eva Hanuljaková, and Aleš Hejčl. 2020. "Can Aspartate Aminotransferase in the Cerebrospinal Fluid Be a Reliable Predictive Parameter?" Brain Sciences 10, no. 10: 698. https://doi.org/10.3390/brainsci10100698

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