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http://hdl.handle.net/20.500.12188/28185
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rendevski, Vladimir | en_US |
dc.contributor.author | Aleksovski, Boris | en_US |
dc.contributor.author | Stojanov, Dragan | en_US |
dc.contributor.author | Mihajlovska Rendevska, Ana | en_US |
dc.contributor.author | Aleksovski, Vasko | en_US |
dc.contributor.author | Gjorgoski, Icko | en_US |
dc.date.accessioned | 2023-10-16T09:31:55Z | - |
dc.date.available | 2023-10-16T09:31:55Z | - |
dc.date.issued | 2018-09 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/28185 | - |
dc.description.abstract | Prognostic models for Intracerebral hemorrhage (ICH), mainly based on clinical evaluation, have remained inherently confounded by subjective scoring assessments and limited accuracy. In this study, we aimed at assessing the risk for poor outcome after ICH based on peripheral biochemical markers (TNF-α, glutamate and glucose) and radiological variables (both at admission and five days after patient's care), for modeling purposes of prognostication. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier BV | en_US |
dc.relation.ispartof | Clinical Neurology and Neurosurgery | en_US |
dc.title | Modeling prognostic factors for poor neurological outcome in conservatively treated patients with intracerebral hemorrhage: A focus on TNF-α | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1016/j.clineuro.2018.06.027 | - |
dc.identifier.url | https://api.elsevier.com/content/article/PII:S0303846718302415?httpAccept=text/xml | - |
dc.identifier.url | https://api.elsevier.com/content/article/PII:S0303846718302415?httpAccept=text/plain | - |
dc.identifier.volume | 172 | - |
dc.identifier.fpage | 51 | - |
dc.identifier.lpage | 58 | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Faculty of Medicine | - |
crisitem.author.dept | Faculty of Natural Sciences and Mathematics | - |
Appears in Collections: | Faculty of Medicine: Journal Articles |
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