scholarly journals Analysis of Neuron-Specific Enolase of Cerebrospinal Fluid and Post Mortem Serum of Blunt Head Trauma in Cause and Time of Death Determination

Author(s):  
Rika Susanti ◽  
Taufik Hidayat
2018 ◽  
Vol 12 (1) ◽  
pp. 253
Author(s):  
Rika Susanti ◽  
Eryati Darwin ◽  
Dedi Afandi ◽  
Yanwirasti ◽  
Syahruddin Said ◽  
...  

1983 ◽  
Vol 131 (3) ◽  
pp. 165-170 ◽  
Author(s):  
Reiner Dauberschmidt ◽  
Paul J. Marangos ◽  
Jörg Zinsmeyer ◽  
Volker Bender ◽  
Gerbert Klages ◽  
...  

Biomolecules ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1577
Author(s):  
Johann Zwirner ◽  
Simone Bohnert ◽  
Heike Franke ◽  
Jack Garland ◽  
Niels Hammer ◽  
...  

Diagnosing traumatic brain injury (TBI) from body fluids in cases where there are no obvious external signs of impact would be useful for emergency physicians and forensic pathologists alike. None of the previous attempts has so far succeeded in establishing a single biomarker to reliably detect TBI with regards to the sensitivity: specificity ratio in a post mortem setting. This study investigated a combination of body fluid biomarkers (obtained post mortem), which may be a step towards increasing the accuracy of biochemical TBI detection. In this study, serum and cerebrospinal fluid (CSF) samples from 30 acute lethal TBI cases and 70 controls without a TBI-related cause of death were evaluated for the following eight TBI-related biomarkers: brain-derived neurotrophic factor (BDNF), ferritin, glial fibrillary acidic protein (GFAP), interleukin 6 (IL-6), lactate dehydrogenase, neutrophil gelatinase-associated lipocalin (NGAL), neuron-specific enolase and S100 calcium-binding protein B. Correlations among the individual TBI biomarkers were assessed, and a specificity-accentuated threshold value analysis was conducted for all biomarkers. Based on these values, a decision tree modelling approach was performed to assess the most accurate biomarker combination to detect acute lethal TBIs. The results showed that 92.45% of acute lethal TBIs were able to be diagnosed using a combination of IL-6 and GFAP in CSF. The probability of detecting an acute lethal TBI was moderately increased by GFAP alone and considerably increased by the remaining biomarkers. BDNF and NGAL were almost perfectly correlated (p = 0.002; R2 = 0.944). This study provides evidence that acute lethal TBIs can be detected to a high degree of statistical accuracy using forensic biochemistry. The high inter-individual correlations of biomarkers may help to estimate the CSF concentration of an unknown biomarker, using extrapolation techniques.


2021 ◽  
Author(s):  
M.S. Harazdyuk ◽  
V.T. Bachinsky ◽  
O.Ya. Wanchulyak ◽  
A. G. Ushenko ◽  
Yu. A. Ushenko ◽  
...  

2021 ◽  
Vol 10 (7) ◽  
pp. 1531
Author(s):  
Changshin Kang ◽  
Wonjoon Jeong ◽  
Jung Soo Park ◽  
Yeonho You ◽  
Jin Hong Min ◽  
...  

We compared the prognostic performances of serum neuron-specific enolase (sNSE), cerebrospinal fluid (CSF) NSE (cNSE), and CSF S100 calcium-binding protein B (cS100B) in out-of-hospital cardiac arrest (OHCA) survivors. This prospective observational study enrolled 45 patients. All samples were obtained immediately and at 24 h intervals until 72 h after the return of spontaneous circulation. The inter- and intragroup differences in biomarker levels, categorized by 3 month neurological outcome, were analyzed. The prognostic performances were evaluated with receiver operating characteristic curves. Twenty-two patients (48.9%) showed poor outcome. At all-time points, sNSE, cNSE, and cS100B were significantly higher in the poor outcome group than in the good outcome group. cNSE and cS100B significantly increased over time (baseline vs. 24, 48, and 72 h) in the poor outcome group than in the good outcome group. sNSE at 24, 48, and 72 h showed significantly lower sensitivity than cNSE or cS100B. The sensitivities associated with 0 false-positive rate (FPR) for cNSE and cS100B were 66.6% vs. 45.5% at baseline, 80.0% vs. 80.0% at 24 h, 84.2% vs. 94.7% at 48 h, and 88.2% (FPR, 5.0%) vs. 94.1% at 72 h. High cNSE and cS100B are strong predictors of poor neurological outcome in OHCA survivors. Multicenter prospective studies may determine the generalizability of these results.


2007 ◽  
Vol 19 (3) ◽  
pp. 258-264 ◽  
Author(s):  
David Schnadower ◽  
Hector Vazquez ◽  
June Lee ◽  
Peter Dayan ◽  
Cindy Ganis Roskind

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