Serum metabolome associated with severity of acute traumatic brain injury

Autor: Ilias Thomas, Alex M. Dickens, Jussi P. Posti, Endre Czeiter, Daniel Duberg, Tim Sinioja, Matilda Kråkström, Isabel R. A. Retel Helmrich, Kevin K. W. Wang, Andrew I. R. Maas, Ewout W. Steyerberg, David K. Menon, Olli Tenovuo, Tuulia Hyötyläinen, András Büki, Matej Orešič, CENTER-TBI Participants and Investigators

Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)

Traumatic brain injury is associated with changes to the metabolome. Here the authors show that acute traumatic brain injury has distinctive serum metabolic patterns which may suggest protective changes of systemic lipid metabolism aiming to maintain

Externí odkaz: https://doaj.org/article/5647d4f3026c469abc78664e5c748a91

Traumatic brain injury : progress and challenges in prevention, clinical care, and research

Autor: Andrew I R Maas, David K Menon, Geoffrey T Manley, Mathew Abrams, Cecilia Åkerlund, Nada Andelic, Marcel Aries, Tom Bashford, Michael J Bell, Yelena G Bodien, Benjamin L Brett, András Büki, Randall M Chesnut, Giuseppe Citerio, David Clark, Betony Clasby, D Jamie Cooper, Endre Czeiter, Marek Czosnyka, Kristen Dams-O'Connor, Véronique De Keyser, Ramon Diaz-Arrastia, Ari Ercole, Thomas A van Essen, Éanna Falvey, Adam R Ferguson, Anthony Figaji, Melinda Fitzgerald, Brandon Foreman, Dashiell Gantner, Guoyi Gao, Joseph Giacino, Benjamin Gravesteijn, Fabian Guiza, Deepak Gupta, Mark Gurnell, Juanita A Haagsma, Flora M Hammond, Gregory Hawryluk, Peter Hutchinson, Mathieu van der Jagt, Sonia Jain, Swati Jain, Ji-yao Jiang, Hope Kent, Angelos Kolias, Erwin J O Kompanje, Fiona Lecky, Hester F Lingsma, Marc Maegele, Marek Majdan, Amy Markowitz, Michael McCrea, Geert Meyfroidt, Ana Mikolić, Stefania Mondello, Pratik Mukherjee, David Nelson, Lindsay D Nelson, Virginia Newcombe, David Okonkwo, Matej Orešič, Wilco Peul, Dana Pisică, Suzanne Polinder, Jennie Ponsford, Louis Puybasset, Rahul Raj, Chiara Robba, Cecilie Røe, Jonathan Rosand, Peter Schueler, David J Sharp, Peter Smielewski, Murray B Stein, Nicole von Steinbüchel, William Stewart, Ewout W Steyerberg, Nino Stocchetti, Nancy Temkin, Olli Tenovuo, Alice Theadom, Ilias Thomas, Abel Torres Espin, Alexis F Turgeon, Andreas Unterberg, Dominique Van Praag, Ernest van Veen, Jan Verheyden, Thijs Vande Vyvere, Kevin K W Wang, Eveline J A Wiegers, W Huw Williams, Lindsay Wilson, Stephen R Wisniewski, Alexander Younsi, John K Yue, Esther L Yuh, Frederick A Zeiler, Marina Zeldovich, Roger Zemek

Publikováno v: The lancet neurology
The Lancet Neurology, 21(11), 1004-1060. ELSEVIER SCIENCE INC
Lancet Neurology, 21(11), 1004-1060. Elsevier Science

Traumatic brain injury (TBI) has the highest incidence of all common neurological disorders, and poses a substantial public health burden. TBI is increasingly documented not only as an acute condition but also as a chronic disease with long-term cons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6022f4030c5354f8e122ead9c2fc65f3
https://hdl.handle.net/10067/1914410151162165141

A Pointwise Approach to Dose-Response Meta-Analysis of Aggregated Data

Autor: Alessio Crippa, Nicola Orsini, Ilias Thomas

Publikováno v: International Journal of Statistics in Medical Research. 7:25-32

In a two-stage dose-response meta-analysis a common functional relationship is applied to each study and an overall curve is obtained by combining study-specific dose-response coefficients. Possible limitations are: 1) a common dose-response model ma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::15b73f6ba3903d35b905b3353e5ff845
https://doi.org/10.6000/1929-6029.2018.07.02.1

Evaluation of a sensor algorithm for motor state rating in Parkinson's disease

Autor: Dongni Johansson, Ilias Thomas, Jack Spira, Dag Nyholm, Filip Bergquist, Alexander Medvedev, Anders Johansson, Fredrik Ohlsson, Anders Ericsson, Mevludin Memedi, Marina Senek, Jerker Westin

Publikováno v: Parkinsonismrelated disorders. 64

A treatment response objective index (TRIS) was previously developed based on sensor data from pronation-supination tests. This study aimed to examine the performance of TRIS for medication effects in a new population sample with Parkinson's disease

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67453197098750af8fc45ec62ce286db
https://pubmed.ncbi.nlm.nih.gov/30935826

A comparison of feature selection methods when using motion sensors data: a case study in Parkinson’s disease

Autor: Mevludin Memedi, Farrukh Javed, Ilias Thomas

Publikováno v: EMBC

The objective of this study is to investigate the effects of feature selection methods on the performance of machine learning methods for quantifying motor symptoms of Parkinson's disease (PD) patients. Different feature selection methods including s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5cc6279d300990883399c404895b651
https://doi.org/10.1109/embc.2018.8513683