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001-es BibID:	BIBFORM042451
035-os BibID:	PMID:22435839
Első szerző:	Czeiter Endre
Cím:	Brain injury biomarkers may improve the predictive power of the IMPACT outcome calculator / Endre Czeiter, Stefania Mondello, Noemi Kovacs, Janos Sandor, Andrea Gabrielli, Kara Schmid, Frank Tortella, Kevin K. W. Wang, Ronald L. Hayes, Pal Barzo, Erzsebet Ezer, Tamas Doczi, Andras Buki
Dátum:	2012
ISSN:	0897-7151
Megjegyzések:	Outcome prediction following severe traumatic brain injury (sTBI) is a widely investigated field of research. A major breakthrough is represented by the IMPACT prognostic calculator based on admission data of more than 8500 patients. A growing body of scientific evidence has shown that clinically meaningful biomarkers, including glial fibrillary acidic protein (GFAP), ubiquitin C-terminal hydrolase-L1 (UCH-L1), and αII-spectrin breakdown product (SBDP145), could also contribute to outcome prediction. The present study was initiated to assess whether the addition of biomarkers to the IMPACT prognostic calculator could improve its predictive power. Forty-five sTBI patients (GCS score8) from four different sites were investigated. We utilized the core model of the IMPACT calculator (age, GCS motor score, and reaction of pupils), and measured the level of GFAP, UCH-L1, and SBDP145 in serum and cerebrospinal fluid (CSF). The forecast and actual 6-month outcomes were compared by logistic regression analysis. The results of the core model itself, as well as serum values of GFAP and CSF levels of SBDP145, showed a significant correlation with the 6-month mortality using a univariate analysis. In the core model, the Nagelkerke R(2) value was 0.214. With multivariate analysis we were able to increase this predictive power with one additional biomarker (GFAP in CSF) to R(2)=0.476, while the application of three biomarker levels (GFAP in CSF, GFAP in serum, and SBDP145 in CSF) increased the Nagelkerke R(2) to 0.700. Our preliminary results underline the importance of biomarkers in outcome prediction, and encourage further investigation to expand the predictive power of contemporary outcome calculators and prognostic models in TBI.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban biomarkers IMPACT calculator outcome prognostic models traumatic brain injury külföldön készült közlemény
Megjelenés:	Journal of Neurotrauma. - 29 : 9 (2012), p. 1770-1778. -
További szerzők:	Mondello, Stefania Kovács Noémi Sándor János (1966-) (orvos-epidemiológus) Gabrielli Andrea Schmid, Kara Tortella, Frank Wang, Kevin K. W. Hayes, Ronald L. Barzó Pál Ezer Erzsébet Dóczi Tamás Büki András (1990-) (általános orvos)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM072261
Első szerző:	Mondello, Stefania
Cím:	Blood-based protein biomarkers for the management of traumatic brain injuries in adults presenting to emergency departments with mild brain injury : a living systematic review and meta-analysis / Stefania Mondello, Abayomi Sorinola, Endre Czeiter, Zoltán Vámos, Krisztina Amrein, Anneliese Synnot, Emma Donoghue, János Sándor, Kevin K. W. Wang, Ramon Diaz-Arrastia, Ewout W. Steyerberg, David K. Menon, Andrew I. R. Maas, Andras Buki
Dátum:	2021
ISSN:	0897-7151 1557-9042
Megjegyzések:	Accurate diagnosis of traumatic brain injury (TBI) is critical to effective management and intervention, but can be challenging in patients with mild TBI. A substantial number of studies have reported the use of circulating biomarkers as signatures for TBI, capable of improving diagnostic accuracy and clinical decision-making beyond current practice standards. We performed a systematic review and meta-analysis to comprehensively and critically evaluate the existing body of evidence for the use of blood protein biomarkers (S100B, GFAP, NSE, UCH-L1, Tau and Neurofilament proteins) for diagnosis of intracranial lesions on CT following mild TBI. Effects of potential confounding factors and differential diagnostic performance of the included markers were explored. Furthermore, appropriateness of study design, analysis, quality and demonstration of clinical utility were assessed. Studies published up to October 2016 were identified through a MEDLINE, EMBASE and CINHAL search. Following screening of the identified articles, 26 were selected as relevant. We found that measurement of S100B can help informed decision making in the emergency department possibly reducing resource use, but there is insufficient evidence that any of the other markers is ready for clinical application. Our work pointed out serious problems in the design, analysis and reporting of many of the studies and identified a substantial heterogeneity and research gaps. These findings emphasize the importance of methodologically rigorous studies focused on a biomarker's intended use and defining standardized, validated and reproducible approaches. The living nature of this systematic review, which will summarize key updated information as it becomes available, can inform and guide future implementation of biomarkers in the clinical arena.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban Biomarkers Traumatic Brain Injury Diagnosis Living Systematic review Meta analysis
Megjelenés:	Journal of Neurotrauma. - 38 : 8 (2021), p. 1086-1106. -
További szerzők:	Sorinola, Abayomi Czeiter Endre Vámos Zoltán Amrein Krisztina Synnot, Anneliese Donoghue, Emma Sándor János (1966-) (orvos-epidemiológus) Wang, Kevin K. W. Diaz-Arrastia, Ramon Steyerberg, Ewout W. Menon, David Krishna Maas, Andrew I. R. Buki András
Pályázati támogatás:	602150 FP7
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM107353
035-os BibID:	(cikkazonosító)2545 (scopus)85130005214 (wos)000793456800026
Első szerző:	Thomas, Ilias
Cím:	Serum metabolome associated with severity of acute traumatic brain injury / Thomas Ilias, Dickens Alex M., Posti Jussi P., Czeiter Endre, Duberg Daniel, Sinioja Tim, Kråkström Matilda, Retel Helmrich Isabel R. A., Wang Kevin K. W., Maas Andrew I. R., Steyerberg Ewout W., Menon David K., Tenovuo Olli, Hyötyläinen Tuulia, Büki András, Oreŝiĉ Matej, CENTER-TBI Participants and Investigators
Dátum:	2022
ISSN:	2041-1723
Megjegyzések:	Complex metabolic disruption is a crucial aspect of the pathophysiology of traumatic brain injury (TBI). Associations between this and systemic metabolism and their potential prognostic value are poorly understood. Here, we aimed to describe the serum metabolome (including lipidome) associated with acute TBI within 24 h post-injury, and its relationship to severity of injury and patient outcome. We performed a comprehensive metabolomics study in a cohort of 716 patients with TBI and non-TBI reference patients (orthopedic, internal medicine, and other neurological patients) from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) cohort. We identified panels of metabolites specifically associated with TBI severity and patient outcomes. Choline phospholipids (lysophosphatidylcholines, ether phosphatidylcholines and sphingomyelins) were inversely associated with TBI severity and were among the strongest predictors of TBI patient outcomes, which was further confirmed in a separate validation dataset of 558 patients. The observed metabolic patterns may reflect different pathophysiological mechanisms, including protective changes of systemic lipid metabolism aiming to maintain lipid homeostasis in the brain. ? 2022. The Author(s).
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk traumatic brain injury
Megjelenés:	Nature Communications. - 13 : 1 (2022), p. 1-15. -
További szerzők:	Dickens, Alex M. Posti, Jussi P. Czeiter Endre Duberg, Daniel Sinioja, Tim Kråkström, Matilda Retel Helmrich, Isabel R. A. Wang, Kevin K. W. Maas, Andrew I. R. Steyerberg, Ewout W. Menon, David Krishna Tenovuo, Olli Hyötyläinen, Tuulia Büki András (1990-) (általános orvos) Orešič, Matej Sándor János (1966-) (orvos-epidemiológus) CENTER-TBI Participants and Investigators
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