Blood Biomarkers to Predict Long-Term Mortality after Ischemic Stroke
Ramiro, Laura ![Identificador ORCID](/img/uab/orcid.ico)
(Hospital Universitari Vall d'Hebron)
Abraira del Fresno, Laura ![Identificador ORCID](/img/uab/orcid.ico)
(Universitat Autònoma de Barcelona. Departament de Medicina)
Quintana, Manuel ![Identificador ORCID](/img/uab/orcid.ico)
(Universitat Autònoma de Barcelona. Departament de Medicina)
García-Rodríguez, Paula ![Identificador ORCID](/img/uab/orcid.ico)
(Hospital Universitari Vall d'Hebron. Institut de Recerca)
Santamarina, Estevo ![Identificador ORCID](/img/uab/orcid.ico)
(Universitat Autònoma de Barcelona. Departament de Medicina)
Álvarez Sabín, José ![Identificador ORCID](/img/uab/orcid.ico)
(Universitat Autònoma de Barcelona. Departament de Medicina)
Zaragoza, Josep (Hospital de Tortosa Verge de la Cinta)
Hernández-Pérez, María
(Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Ustrell, Xavier (Hospital Universitari Joan XXIII de Tarragona)
Lara-Rodríguez, Blanca (Hospital Universitari de Bellvitge)
Terceño, Mikel (Hospital Universitari de Girona Doctor Josep Trueta)
Bustamante, Alejandro
(Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Montaner, Joan
(Hospital Universitari Vall d'Hebron. Institut de Recerca)
Fecha: |
2021 |
Resumen: |
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. |
Ayudas: |
Instituto de Salud Carlos III PI18-00804 Instituto de Salud Carlos III RD16-0019-0021 Instituto de Salud Carlos III IFI17-00012
|
Nota: |
Altres ajuts: This work has been funded by La Fundació La Marató (Reg. 84/240 proj. 201702). |
Derechos: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. ![Creative Commons](/img/licenses/by.ico) |
Lengua: |
Anglès |
Documento: |
Article ; recerca ; Versió publicada |
Materia: |
Ischemic stroke ;
Biomarker ;
Mortality ;
Endostatin ;
IL-6 ;
TNF-R1 |
Publicado en: |
Life, Vol. 11 (february 2021) , ISSN 2075-1729 |
DOI: 10.3390/life11020135
PMID: 33578805
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Registro creado el 2021-03-08, última modificación el 2024-05-22