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http://hdl.handle.net/2445/175800
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DC Field | Value | Language |
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dc.contributor.author | Ramiro, Laura | - |
dc.contributor.author | Abraira, Laura | - |
dc.contributor.author | Quintana, Manuel | - |
dc.contributor.author | García Rodríguez, Paula | - |
dc.contributor.author | Santamarina, Estevo | - |
dc.contributor.author | Álvarez Sabín, Jose | - |
dc.contributor.author | Zaragoza, Josep | - |
dc.contributor.author | Hernández Pérez, María | - |
dc.contributor.author | Ustrell, Xavier | - |
dc.contributor.author | Lara, Blanca | - |
dc.contributor.author | Terceño, Mikel | - |
dc.contributor.author | Bustamante, Alejandro | - |
dc.contributor.author | Montaner, Joan | - |
dc.date.accessioned | 2021-03-26T10:00:29Z | - |
dc.date.available | 2021-03-26T10:00:29Z | - |
dc.date.issued | 2021-02-10 | - |
dc.identifier.uri | http://hdl.handle.net/2445/175800 | - |
dc.description.abstract | Stroke is a major cause of disability and death globally, and prediction of mortality represents a crucial challenge. We aimed to identify blood biomarkers measured during acute ischemic stroke that could predict long-term mortality. Nine hundred and forty-one ischemic stroke patients were prospectively recruited in the Stroke-Chip study. Post-stroke mortality was evaluated during a median 4.8-year follow-up. A 14-biomarker panel was analyzed by immunoassays in blood samples obtained at hospital admission. Biomarkers were normalized and standardized using Z-scores. Multiple Cox regression models were used to identify clinical variables and biomarkers independently associated with long-term mortality and mortality due to stroke. In the multivariate analysis, the independent predictors of long-term mortality were age, female sex, hypertension, glycemia, and baseline National Institutes of Health Stroke Scale (NIHSS) score. Independent blood biomarkers predictive of long-term mortality were endostatin > quartile 2, tumor necrosis factor receptor-1 (TNF-R1) > quartile 2, and interleukin (IL)-6 > quartile 2. The risk of mortality when these three biomarkers were combined increased up to 69%. The addition of the biomarkers to clinical predictors improved the discrimination (integrative discriminative improvement (IDI) 0.022 (0.007-0.048), p < 0.001). Moreover, endostatin > quartile 3 was an independent predictor of mortality due to stroke. Altogether, endostatin, TNF-R1, and IL-6 circulating levels may aid in long-term mortality prediction after stroke. | - |
dc.format.extent | 11 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | MDPI | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.3390/life11020135 | - |
dc.relation.ispartof | Life, 2021, vol. 11, num. 2 | - |
dc.relation.uri | https://doi.org/10.3390/life11020135 | - |
dc.rights | cc by (c) Ramiro et al., 2021 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.source | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) | - |
dc.subject.classification | Isquèmia | - |
dc.subject.classification | Marcadors bioquímics | - |
dc.subject.classification | Mortalitat | - |
dc.subject.other | Ischemia | - |
dc.subject.other | Biochemical markers | - |
dc.subject.other | Mortality | - |
dc.title | Blood Biomarkers to Predict Long-Term Mortality after Ischemic Stroke | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.date.updated | 2021-03-24T07:18:25Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 33578805 | - |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
Files in This Item:
File | Description | Size | Format | |
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life-11-00135-v3.pdf | 1.23 MB | Adobe PDF | View/Open |
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