ABSTRACT NUMBER: ESOC2026A2243 PREDICTING STROKE MIMICS IN ACUTE STROKE PATHWAYS: CLINICAL AND EARLY IMAGING PREDICTORS FROM AN 18-MONTH MULTICENTRE PROSPECTIVE COHORT
Abstract Background and aims Distinguishing acute ischemic stroke (AIS) from stroke mimics (SM) remains challenging in emergency neurology, with up to one-third of suspected cases ultimately identified as mimics despite standardised pathways and rapid imaging. Misclassification may lead to unnecessary thrombolysis or delayed reperfusion. Unlike previous single-domain models, this study integrates bedside clinical and early imaging data from real-world acute stroke workflows. Methods This prospective multicentre study included 1,662 consecutive patients evaluated for suspected AIS (507 SM, 30.5%). An elastic-net logistic regression model was trained on 1,411 patients using routinely collected clinical variables (demographics, comorbidities, medications, NIHSS, FAST, FAST-Plus) and early imaging data (Brainomix e-Stroke v10.1). NCCT was classified as positive only for ischemic changes, CTA as positive for vessel occlusion or stenosis, and CTP as positive/negative with a “not performed” category, including discordant results. Model performance was assessed on an independent test set (n = 251). Results The combined model achieved strong discrimination (AUC 0.89; 95% CI: 0.85–0.93). Predictors of SM included negative NCCT and CTA, unperformed CTP, epilepsy, and headache at presentation, and missing NIHSS data. Positive NCCT, CTA, CTP, smoking, and antiplatelet therapy predicted AIS/TIA. At the optimal ROC threshold, sensitivity for AIS/TIA was 75.9% and specificity 83.1% (PPV 91.0%, NPV 60.4%). Conclusions A model integrating routine clinical and early imaging data reliably differentiates AIS/TIA from SM. By bridging bedside assessment and imaging confirmation, it supports safer and faster decision-making in acute stroke care. Supported by the MoH of the Czech Republic (NU23-04-00336), and by MEYS, LRI CZECRIN (LM2023049). Conflict of interest Katerina Dvornikova:nothing to disclose, Veronika Kunesova: nothing to disclose, Svatopluk Ostry: nothing to disclose, Petr Novobilsky: nothing to disclose, Lenka Bártová: nothing to disclose, Linda Machova: nothing to disclose, Beata Stanková:nothing to disclose, István Szegedi:nothing to disclose, Adéla Kondé:nothing to disclose, Jana Licha:nothing to disclose, Kristyna Janotova:nothing to disclose, Martin Reiser:nothing to disclose, Tomas Jonszta:nothing to disclose, Jaroslav Havelka:nothing to disclose, Ondrej Volny: nothing to disclose, Michal Bar1:nothing to disclose
Authors
- Veronika Kunešová
- István Szegedi (ORCID: https://orcid.org/0000-0003-4181-4361)
- Petr Novobílský (ORCID: https://orcid.org/0000-0001-9921-0515)
- Jana Lichá
- Svatopluk Ostrý (ORCID: https://orcid.org/0000-0003-1858-7922)
- Martin Reiser
- Adéla Kondé (ORCID: https://orcid.org/0000-0002-0511-0749)
- Kristýna Janotová
- Lenka Bártová
- Michal Bar
- Linda MacHová
- Jaroslav Havelka
- Beata Stanková
- Kateřina Dvorníková
- Tomas Jonszta
- Ondrej Volny
Institutions
- VSB - Technical University of Ostrava (CZ)
- University of Ostrava (CZ)
- Masaryk University (CZ)
- University Hospital Ostrava (CZ)
- Nemocnice České Budějovice (CZ)
Publication Details
- Journal
- European Stroke Journal
- Published
- 2026-05-01
- DOI
- https://doi.org/10.1093/esj/aakag023.1774
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00