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   <dc:title>Blood Biomarkers to Predict Long-Term Mortality after Ischemic Stroke</dc:title>
   <dc:creator>Ramiro, Laura</dc:creator>
   <dc:creator>Abraira, Laura</dc:creator>
   <dc:creator>Quintana, Manuel</dc:creator>
   <dc:creator>García Rodríguez, Paula</dc:creator>
   <dc:creator>Santamarina, Estevo</dc:creator>
   <dc:creator>Álvarez Sabín, Jose</dc:creator>
   <dc:creator>Zaragoza, Josep</dc:creator>
   <dc:creator>Hernández Pérez, María</dc:creator>
   <dc:creator>Ustrell, Xavier</dc:creator>
   <dc:creator>Lara, Blanca</dc:creator>
   <dc:creator>Terceño, Mikel</dc:creator>
   <dc:creator>Bustamante, Alejandro</dc:creator>
   <dc:creator>Montaner, Joan</dc:creator>
   <dc:subject>Isquèmia</dc:subject>
   <dc:subject>Marcadors bioquímics</dc:subject>
   <dc:subject>Mortalitat</dc:subject>
   <dc:subject>Ischemia</dc:subject>
   <dc:subject>Biochemical markers</dc:subject>
   <dc:subject>Mortality</dc:subject>
   <dcterms: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 &lt; 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.</dcterms:abstract>
   <dcterms:issued>2021-03-26T10:00:29Z</dcterms:issued>
   <dcterms:issued>2021-03-26T10:00:29Z</dcterms:issued>
   <dcterms:issued>2021-02-10</dcterms:issued>
   <dcterms:issued>2021-03-24T07:18:25Z</dcterms:issued>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:relation>Reproducció del document publicat a: https://doi.org/10.3390/life11020135</dc:relation>
   <dc:relation>Life, 2021, vol. 11, num. 2</dc:relation>
   <dc:relation>https://doi.org/10.3390/life11020135</dc:relation>
   <dc:rights>cc by (c) Ramiro et al., 2021</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by/3.0/es/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:publisher>MDPI</dc:publisher>
   <dc:source>Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))</dc:source>
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