Biomarkers to improve functional outcome prediction after ischemic stroke: Results from the SICFAIL, STRAWINSKI, and PREDICT studies

Other authors

Institut Català de la Salut

[Montellano FA] Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität (JMU) Würzburg, Würzburg, Germany. Department of Neurology, University Hospital Würzburg, Würzburg, Germany. Interdisciplinary Center for Clinical Research, University Hospital Würzburg, Würzburg, Germany. [Rücker V] Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität (JMU) Würzburg, Würzburg, Germany. [Ungethüm K] Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität (JMU) Würzburg, Würzburg, Germany. Institute of Medical Data Science, University Hospital Würzburg, Würzburg, Germany. [Penalba A] Grup de Recerca de Malalties Neurovasculars, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. [Hotter B] Department of Neurology and Experimental Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany. Center for Stroke Research Berlin, Charité-Universitätsmedizin Berlin, Berlin, Germany. NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany. [Giralt M] Servei de Bioquímica, Vall d’Hebron Hospital Universitari, Barcelona, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2024-11-25T13:31:55Z

2024-11-25T13:31:55Z

2024-12



Abstract

Prognosis; Biomarkers; Stroke


Pronóstico; Biomarcadores; Ictus


Pronòstic; Biomarcadors; Ictus


Background and aims: Acute ischemic stroke (AIS) outcome prognostication remains challenging despite available prognostic models. We investigated whether a biomarker panel improves the predictive performance of established prognostic scores. Methods: We investigated the improvement in discrimination, calibration, and overall performance by adding five biomarkers (procalcitonin, copeptin, cortisol, mid-regional pro-atrial natriuretic peptide (MR-proANP), and N-terminal pro-B-type natriuretic peptide (NT-proBNP)) to the Acute Stroke Registry and Analysis of Lausanne (ASTRAL) and age/NIHSS scores using data from two prospective cohort studies (SICFAIL, PREDICT) and one clinical trial (STRAWINSKI). Poor outcome was defined as mRS > 2 at 12 (SICFAIL, derivation dataset) or 3 months (PREDICT/STRAWINSKI, pooled external validation dataset). Results: Among 412 SICFAIL participants (median age 70 years, quartiles 59–78; 63% male; median NIHSS score 3, quartiles 1–5), 29% had a poor outcome. Area under the curve of the ASTRAL and age/NIHSS were 0.76 (95% CI 0.71–0.81) and 0.77 (95% CI 0.73–0.82), respectively. Copeptin (0.79, 95% CI 0.74–0.84), NT-proBNP (0.80, 95% CI 0.76–0.84), and MR-proANP (0.79, 95% CI 0.75–0.84) significantly improved ASTRAL score’s discrimination, calibration, and overall performance. Copeptin improved age/NIHSS model’s discrimination, copeptin, MR-proANP, and NT-proBNP improved its calibration and overall performance. In the validation dataset (450 patients, median age 73 years, quartiles 66–81; 54% men; median NIHSS score 8, quartiles 3–14), copeptin was independently associated with various definitions of poor outcome and also mortality. Copeptin did not increase model’s discrimination but it did improve calibration and overall model performance. Discussion: Copeptin, NT-proBNP, and MR-proANP improved modest but consistently the predictive performance of established prognostic scores in patients with mild AIS. Copeptin was most consistently associated with poor outcome in patients with moderate to severe AIS, although its added prognostic value was less obvious.


This work was supported by the German Ministry of Research and Education (Comprehensive Heart Failure Centre Würzburg, BMBF #01EO1004 and #01EO1504). FAM is supported by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) (UNION-CVD Clinician-Scientist Programme, project number 413657723) and was previously supported by the Interdisciplinary Center for Clinical Research (IZKF), University Hospital Würzburg (Project Z1, MD/PhD Fellowship).

Document Type

Article


Published version

Language

English

Publisher

SAGE Publications

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Attribution 4.0 International

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

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