Találati lista | Tudóstér

001-es BibID:	BIBFORM085606
Első szerző:	Cséplő Péter
Cím:	Hemolyzed Blood Elicits a Calcium Antagonist and High CO2 Reversible Constriction via Elevation of [Ca2+] in Isolated Cerebral Arteries / Cseplo Peter, Vamos Zoltan, Torok Orsolya, Ivic Ivan, Toth Attila, Buki Andras, Koller Akos
Dátum:	2017
ISSN:	0897-7151
Megjegyzések:	During acute subarachnoid hemorrhage, blood is hemolyzed, which is followed by a significant cerebrovascular spasm resulting in a serious clinical condition. Interestingly, however, the direct vasomotor effect of perivascular hemolyzed blood (HB) has not yet been characterized, preventing the assessment of contribution of vasoconstrictor mechanisms deriving from brain tissue and/or blood and development of possible treatments. We hypothesized that perivascular HB reduces the diameter of the cerebral arteries (i.e., basilar artery [BA]; middle cerebral artery [MCA]) by elevating vascular tissue [Ca2+]i level. Vasomotor responses were measured by videomicroscopy and intracellular Ca2+ by the Fura2-AM ratiometric method. Adding HB to the vessel chamber reduced the diameter significantly (BA: from 264???7 to 164???11??m; MCA: from 185???15 to 155???14??m), which was reversed to control level by wash-out of HB. Potassium chloride (KCl), HB, serum, hemolyzed red blood cell (RBC), plasma, and platelet suspension (PLTs) elicited significant constrictions of isolated basilar arteries. There was a significant increase in K+ concentration in hemolyzed HB (7.02???0.22?mmol/L) compared to Krebs' solution (6.20???0.01?mmol/L). Before HB, acetylcholine (ACh), sodium-nitroprussid (SNP), nifedipin, and CO2 elicited substantial dilations in cerebral arteries. In contrast, in the presence of HB dilations to ACh, SNP decreased, but not to nifedipine and CO2. After washout of HB, nitric oxide?mediated dilations remained significantly reduced compared to control. HB significantly increased the ratiometric Ca signal, which returned to control level after washout. In conclusion, perivascular hemolyzed blood elicits significant?nifedipine and high CO2 reversible?constrictions of isolated BAs and MCAs, primarily by increasing intracellular Ca2+, findings that can contribute to the refinement of local treatment of subarachnoid hemorrhage.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk subarachnoid hemorrhage in vitro studies vascular injury traumatic brain injury cbf autoregulation
Megjelenés:	Journal Of Neurotrauma. - 34 : 2 (2017), p. 529-534. -
További szerzők:	Vámos Zoltán Török Orsolya Ivic, Ivan Tóth Attila (1971-) (biológus) Buki András Koller Ákos
Pályázati támogatás:	K 108444 OTKA
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM070757
Első szerző:	Frendl István (baleseti sebész és kézsebész)
Cím:	Plasminogen Activator Inhibitor Type 1 : a Possible Novel Biomarker of Late Pituitary Dysfunction after Mild Traumatic Brain Injury / Istvan Frendl, Monika Katko, Erika Galgoczi, Judit Boda, Noemi Zsiros, Zoltan Nemeti, Zsuzsanna Bereczky, Renata Hudak, Janos Kappelmayer, Annamaria Erdei, Bela Turchanyi, Endre V. Nagy
Dátum:	2017
ISSN:	0897-7151
Megjegyzések:	More than 80% of head trauma patients suffer from mild traumatic brain injury (mTBI). However, even mTBI carries the risk of late pituitary dysfunction. A predictive biomarker at the time of injury which could identify patients who subsequently may develop permanent pituitary dysfunction would help to direct patients towards endocrine care. We enrolled 508 traumatic brain injury patients (406 with mTBI) into our study. Blood samples were collected for identification of predictive biomarkers of late pituitary dysfunction at the time of admission. Follow-up blood samples were collected between 6 to 12 months after the head trauma and were evaluated for pituitary function. Of the 406 mTBI patients, 76 were available for follow-up. Pre-existing mild pituitary dysfunction was found for 15 patients based on hormone levels at the time of injury. Of the remaining 61 patients, 10 have shown deficiency in at least one pituitary hormone: 4 had growth hormone deficiency, 3 gonadotropin, 2 thyrotropin, and 1 patient combined gonadotropin and thyrotropin deficiency. Hence, newly developed pituitary hormone deficiency was found in 16% of mTBI patients. Neither the cause of mTBI nor its complications were predictive of late pituitary dysfunction. Of the haemostasis parameters studied, lower PAI-1 level at the time of injury was found to be predictive for the development of late pituitary dysfunction; sensitivity, specificity, positive and negative predictive values were 80%, 67%, 32% and 94%, respectively. Even mild TBI carries a substantial risk of endocrine consequences. Serum PAI-1 level at the time of head trauma may serve as predictive biomarker of late pituitary dysfunction in mTBI patients.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Journal Of Neurotrauma. - 34 : 23 (2017), p. 3238-3244. -
További szerzők:	Katkó Mónika (1980-) (biológus) Galgóczi Erika (1986-) (biológus) Boda Judit (belgyógyász, endokrinológus) Zsíros Noémi (1986-) (belgyógyász) Németi Zoltán Bereczky Zsuzsanna (1974-) (orvosi laboratóriumi diagnosztika szakorvos) Hudák Renáta Kappelmayer János (1960-) (laboratóriumi szakorvos) Erdei Annamária (1976-) (belgyógyász) Turchányi Béla (1957-) (traumatológus) Nagy Endre V. (1957-) (belgyógyász, endokrinológus)
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM100330
Első szerző:	Huie, J. Russell
Cím:	Biomarkers for Traumatic Brain Injury : Data Standards and Statistical Considerations / Huie J. Russell, Mondello Stefania, Lindsell Christopher J., Antiga Luca, Yuh Esther L., Zanier Elisa R., Masson Serge, Rosario Bedda L., Ferguson Adam R., TRACK-TBI Investigators, CENTER-TBI Participants and Investigators
Dátum:	2021
ISSN:	0897-7151
Megjegyzések:	Recent biomarker innovations hold potential for transforming diagnosis, prognostic modeling, and precision therapeutic targeting of traumatic brain injury (TBI). However, many biomarkers, including brain imaging, genomics, and proteomics, involve vast quantities of high-throughput and high-content data. Management, curation, analysis, and evidence synthesis of these data are not trivial tasks. In this review, we discuss data management concepts and statistical and data sharing strategies when dealing with biomarker data in the context of TBI research. We propose that application of biomarkers involves three distinct steps?discovery, evaluation, and evidence synthesis. First, complex/big data has to be reduced to useful data elements at the stage of biomarker discovery. Second, inferential statistical approaches must be applied to these biomarker data elements for assessment of biomarker clinical utility and validity. Last, synthesis of relevant research is required to support practice guidelines and enable health decisions informed by the highest quality, up-to-date evidence available. We focus our discussion around recent experiences from the International Traumatic Brain Injury Research (InTBIR) initiative, with a specific focus on four major clinical projects (Transforming Research and Clinical Knowledge in TBI, Collaborative European NeuroTrauma Effectiveness Research in TBI, Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe, and Approaches and Decisions in Acute Pediatric TBI Trial), which are currently enrolling subjects in North America and Europe. We discuss common data elements, data collection efforts, data-sharing opportunities, and challenges, as well as examine the statistical techniques required to realize successful adoption and use of biomarkers in the clinic as a foundation for precision medicine in TBI
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	Journal Of Neurotrauma. - 38 : 18 (2021), p. 2514-2529. -
További szerzők:	Mondello, Stefania Lindsell, Christopher J. Antiga, Luca Yuh, Esther L. Zanier, Elisa R. Masson, Serge Rosario, Bedda L. Ferguson, Adam R. Sándor János (1966-) (orvos-epidemiológus) TRACK-TBI Investigators CENTER-TBI Participants and Investigators
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM116192
035-os BibID:	(Scopus)85168315877 (WOS)000993931100001
Első szerző:	Mikolić, Ana
Cím:	Prognostic Models for Global Functional Outcome and Post-Concussion Symptoms Following Mild Traumatic Brain Injury : A Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study / Ana Mikolic, Ewout W. Steyerberg, Suzanne Polinder, Lindsay Wilson, Marina Zeldovich, Nicole von Steinbuechel, Virginia F. J. Newcombe, David K. Menon, Joukjevander Naalt, Hester F. Lingsma, Andrew I. R. Maas, David van Klaveren, CENTER-TBI Participants and Investigators
Dátum:	2023
ISSN:	0897-7151
Megjegyzések:	After mild traumatic brain injury (mTBI), a substantial proportion of individuals do not fully recover on the Glasgow Outcome Scale Extended (GOSE) or experience persistent post-concussion symptoms (PPCS). We aimed to develop prognostic models for the GOSE and PPCS at 6 months after mTBI and to assess the prognostic value of different categories of predictors (clinical variables; questionnaires; computed tomography [CT]; blood biomarkers). From the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, we included participants aged 16 or older with Glasgow Coma Score (GCS) 13-15. We used ordinal logistic regression to model the relationship between predictors and the GOSE, and linear regression to model the relationship between predictors and the Rivermead Post-concussion Symptoms Questionnaire (RPQ) total score. First, we studied a pre-specified Core model. Next, we extended the Core model with other clinical and sociodemographic variables available at presentation (Clinical model). The Clinical model was then extended with variables assessed before discharge from hospital: early post-concussion symptoms, CT variables, biomarkers, or all three categories (extended models). In a subset of patients mostly discharged home from the emergency department, the Clinical model was extended with 2-3-week post-concussion and mental health symptoms. Predictors were selected based on Akaike's Information Criterion. Performance of ordinal models was expressed as a concordance index (C) and performance of linear models as proportion of variance explained (R2). Bootstrap validation was used to correct for optimism. We included 2376 mTBI patients with 6-month GOSE and 1605 patients with 6-month RPQ. The Core and Clinical models for GOSE showed moderate discrimination (C = 0.68 95% confidence interval 0.68 to 0.70 and C = 0.70[0.69 to 0.71], respectively) and injury severity was the strongest predictor. The extended models had better discriminative ability (C = 0.71[0.69 to 0.72] with early symptoms; 0.71[0.70 to 0.72] with CT variables or with blood biomarkers; 0.72[0.71 to 0.73] with all three categories). The performance of models for RPQ was modest (R2 = 4% Core; R2 = 9% Clinical), and extensions with early symptoms increased the R2 to 12%. The 2-3-week models had better performance for both outcomes in the subset of participants with these symptoms measured (C = 0.74 [0.71 to 0.78] vs. C = 0.63[0.61 to 0.67] for GOSE; R2 = 37% vs. 6% for RPQ). In conclusion, the models based on variables available before discharge have moderate performance for the prediction of GOSE and poor performance for the prediction of PPCS. Symptoms assessed at 2-3 weeks are required for better predictive ability of both outcomes. The performance of the proposed models should be examined in independent cohorts.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk biomarkers Glasgow Outcome Scale Extended mild traumatic brain injury post-concussion symptoms predictors prognostic model
Megjelenés:	Journal Of Neurotrauma. - 40 : 15-16 (2023), p. 1651-1670. -
További szerzők:	Steyerberg, Ewout W. Polinder, Suzanne Wilson, Lindsay Zeldovich, Marina von Steinbuechel, Nicole Newcombe, Virginia F. J. Menon, David Krishna Naalt, Joukjevander Lingsma, Hester Maas, Andrew I. R. van Klaveren, David Sándor János (1966-) (orvos-epidemiológus) CENTER-TBI Participants and Investigators
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: