Blood Biomarker Panels for the Early Prediction of Stroke‐Associated Complications

Other authors

Institut Català de la Salut

[Faura J, García-Berrocoso T, Ventura O, Montaner J] Neurovascular Research Laboratory, Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. [Bustamante A] Neurovascular Research Laboratory, Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. Stroke Unit Hospital Universitari Germans Trias i Pujol Barcelona Spain. [Reverté S] Stroke Unit Hospital Universitari Verge de la Cinta de Tortosa Tortosa Spain. [Castellanos M] Department of Neurology Complejo Hospitalario Universitario A Coruña, A Coruña Biomedical Research Institute Spain. [Rubiera M] Unitat d’Ictus, Servei de Neurologia, Vall d'Hebron Hospital Universitari, Barcelona Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2021-05-27T08:27:54Z

2021-05-27T08:27:54Z

2021-02



Abstract

Biomarkers; Stroke; Stroke‐associated infection


Biomarcadors; Ictus; Infecció associada a un ictus


Biomarcadores; Ictus; Infección asociada a un ictus


Background Acute decompensated heart failure (ADHF) and respiratory tract infections (RTIs) are potentially life‐threatening complications in patients experiencing stroke during hospitalization. We aimed to test whether blood biomarker panels might predict these complications early after admission. Methods and Results Nine hundred thirty‐eight patients experiencing ischemic stroke were prospectively recruited in the Stroke‐Chip study. Post‐stroke complications during hospitalization were retrospectively evaluated. Blood samples were drawn within 6 hours after stroke onset, and 14 biomarkers were analyzed by immunoassays. Biomarker values were normalized using log‐transformation and Z score. PanelomiX algorithm was used to select panels with the best accuracy for predicting ADHF and RTI. Logistic regression models were constructed with the clinical variables and the biomarker panels. The additional predictive value of the panels compared with the clinical model alone was evaluated by receiver operating characteristic curves. An internal validation through a 10‐fold cross‐validation with 3 repeats was performed. ADHF and RTI occurred in 19 (2%) and 86 (9.1%) cases, respectively. Three‐biomarker panels were developed as predictors: vascular adhesion protein‐1 >5.67, NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) >4.98 and d‐dimer >5.38 (sensitivity, 89.5%; specificity, 71.7%) for ADHF; and interleukin‐6 >3.97, von Willebrand factor >3.67, and d‐dimer >4.58 (sensitivity, 82.6%; specificity, 59.8%) for RTI. Both panels independently predicted stroke complications (panel for ADHF: odds ratio [OR] [95% CI], 10.1 [3–52.2]; panel for RTI: OR, 3.73 [1.95–7.14]) after adjustment by clinical confounders. The addition of the panel to clinical predictors significantly improved areas under the curve of the receiver operating characteristic curves in both cases. Conclusions Blood biomarkers could be useful for the early prediction of ADHF and RTI. Future studies should assess the usefulness of these panels in front of patients experiencing stroke with respiratory symptoms such as dyspnea.


This project received funding from Instituto de Salud Carlos III (ISCIII) [DTS14/00004, PI17/02130], co‐financed by the European Regional Development Fund (FEDER), and from Fundació La Marató de TV3 [201706] and the European Union's Horizon 2020 research and innovation program [754517]. Neurovascular Research Laboratory takes part into the Spanish stroke research network INVICTUS+ (RD16/0019/0021). The funders had no role in the study design and conduction.

Document Type

Article


Published version

Language

English

Publisher

American Heart Association

American Stroke Association

Wiley Open Access

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Journal of the American Heart Association;10(5)

https://www.ahajournals.org/doi/10.1161/JAHA.120.018946

info:eu-repo/grantAgreement/ES/PE2013-2016/DTS14%2F00004

info:eu-repo/grantAgreement/ES/PE2013-2016/PI17%2F02130

info:eu-repo/grantAgreement/EC/H2020/754517

info:eu-repo/grantAgreement/ES/PE2013-2016/RD16%2F0019%2F0021

info:eu-repo/grantAgreement/ES/PERIS2016-2020/201706

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Rights

Attribution-NonCommercial 4.0 International

http://creativecommons.org/licenses/by-nc/4.0/

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