RT Journal Article
T1 Blood Biomarkers to Predict Long-Term Mortality after Ischemic Stroke.
A1 Ramiro, Laura
A1 Abraira, Laura
A1 Quintana, Manuel
A1 Garcia-Rodriguez, Paula
A1 Santamarina, Estevo
A1 alvarez-Sabin, Jose
A1 Zaragoza, Josep
A1 Hernandez-Perez, Maria
A1 Ustrell, Xavier
A1 Lara, Blanca
A1 Terceño, Mikel
A1 Bustamante, Alejandro
A1 Montaner, Joan
K1 IL-6
K1 TNF-R1
K1 biomarker
K1 endostatin
K1 ischemic stroke
K1 mortality
AB 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  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  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  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  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.
PB MDPI AG
SN 2075-1729
YR 2021
FD 2021-02-10
LK http://hdl.handle.net/10668/17170
UL http://hdl.handle.net/10668/17170
LA en
NO Ramiro L, Abraira L, Quintana M, García-Rodríguez P, Santamarina E, Álvarez-Sabín J, et al. Blood Biomarkers to Predict Long-Term Mortality after Ischemic Stroke. Life (Basel). 2021 Feb 10;11(2):135.
DS RISalud
RD Jul 30, 2025