ArticleAmerican heart journal plus : cardiology research and practice2023
Association of electrocardiographic and echocardiographic variables with neurological outcomes after ischemic Stroke.
Article in American heart journal plus : cardiology research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Risk Factors and Outcomes of Hemorrhagic Transformation in Acute Ischemic Stroke Following Thrombolysis: Analysis of a Single-Center Experience and Review of the Literature.Medicina (Kaunas, Lithuania) · 2025Review
- Acute Cardiovascular Changes Following Cerebral Ischemia in a Non-human Primate Thromboembolic Stroke Model.In vivo (Athens, Greece)Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cardiac dysfunction is often seen following neurological injury. Data regarding cardiac involvement after ischemic stroke is sparse. We investigated the association of electrocardiographic (ECG) and echocardiographic variables with neurological outcomes after an acute ischemic stroke. Methods: We retrospectively collected baseline characteristics, stroke location, National Institute of Health Stroke Scale (NIHSS) at the time of admission, acute reperfusion treatment, ECG parameters, and echocardiographic data on 174 patients admitted with acute ischemic stroke. Outcomes of the stroke were based on cerebral performance category (CPC) with a CPC score of 1-2 indicating a good outcome and a CPC score of 3-5 indicating a poor outcome. Results: Older age (75.31 ± 11.89 vs. 65.16 ± 15.87, Conclusions: Elevated heart rate and longer QTc intervals may potentially predict poor neurological outcomes. Further studies are needed for validation and possible integration of these variables in outcome predicting models.
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