ArticleExperimental and therapeutic medicine2021
The Alberta Stroke Program Early CT score (ASPECTS): A predictor of mortality in acute ischemic stroke.
Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- The endothelial activation and stress index (EASIX) predicts hazards of short- and long-term mortality in acute ischemic stroke: a retrospective cohort study.Journal of neurology · 2026Article
- Associations Among CTA Collateral Scores, Multimodal MRI Lesion Volumes, and Clinical Severity in Acute Middle Cerebral Artery Infarction.Journal of clinical medicine · 2026Article
- Anesthesia Considerations in Older Adults Undergoing Emergency Mechanical Thrombectomy for Acute Ischaemic Stroke.Drugs & aging · 2025Review
- Analysis of the correlation between glycemic variability indices and disease severity as well as inflammatory status in patients with type 2 diabetes mellitus and periodontitis.Clinical oral investigations · 2025Article
- Brain Midline Approximation to Improve Symmetry Analysis of Brain CT Scans.Journal of imaging informatics in medicine · 2025Article
- Using unsupervised dimensionality reduction to identify lesion patterns predictive of post-stroke aphasia severity.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- GPT-4 as a Clinical Decision Support Tool in Ischemic Stroke Management: Evaluation Study.JMIR AI · 2025Article
- Analyzing the serum biochemical factors that influence early neurological deterioration in ischemic Stroke patients and developing a nomogram prediction model.Journal of medical biochemistry · 2025Article
- Current Trends in Stroke Biomarkers: The Prognostic Role of S100 Calcium-Binding Protein B and Glial Fibrillary Acidic Protein.Life (Basel, Switzerland) · 2024Review
- Kidney dysfunction predicts 90 days mortality after stroke thrombectomy independent of cardiovascular risk factors and chronic kidney disease.European stroke journal · 2024Article
- Machine learning-based nomogram: integrating MRI radiomics and clinical indicators for prognostic assessment in acute ischemic stroke.Frontiers in neurology · 2024Article
- Neuroimaging Modalities Used for Ischemic Stroke Diagnosis and Monitoring.Medicina (Kaunas, Lithuania) · 2023Review
- Neuroinflammation in the Evolution of Motor Function in Stroke and Trauma Patients: Treatment and Potential Biomarkers.Current issues in molecular biology · 2023Review
- The relationship between infarct volume and high sensitivity troponin I level in patients diagnosed with ischemic stroke.Irish journal of medical science · 2023Observational
- The essential role of neuroimaging in diagnosing and managing cerebrovascular disease in Africa: a review.Annals of medicine · 2023Review
- Application of Robotic Recovery Techniques to Stroke Survivors-Bibliometric Analysis.Journal of personalized medicine · 2022Article
- A Dynamic Nomogram to Predict the 3-Month Unfavorable Outcome of Patients with Acute Ischemic Stroke.Risk management and healthcare policy · 2022Article
- Efficacy and safety of endovascular treatment in patients older than 90 with acute ischemic stroke: A retrospective cohort study.Frontiers in neurology · 2022Article
- A review of cardiac troponin I detection by surface enhanced Raman spectroscopy: Under the spotlight of point-of-care testing.Frontiers in chemistry · 2022Review
- Physiotherapy Efficiency in Post-stroke Upper Extremity Spasticity: TENSIn vivo (Athens, Greece)Article
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8 authors.
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Abstract
Stroke is one of the leading causes of mortality globally and a main cause of disability. The objective of this study was to evaluate the importance and utility of the Alberta Stroke Program Early CT Score (ASPECTS) as a mortality predictor factor in diabetic vs. non-diabetic patients with acute ischemic stroke (AIS), correlated with age, monocyte values, and high-sensitivity cardiac troponin I (hs-cTnI). The prospective longitudinal observational study included 340 patients with AIS divided into two groups: diabetics and non-diabetics. ASPECTS was evaluated within the first 24 h after admission to the center. The ASPECTS was lower in the group of diabetic patients on average 4.9 vs. 6.05 (P<0.0001). As the age of the patients increased, the lower the ASPECTS and the higher infarct size, indicating a statistically significant (P<0.0001) result. The optimal correlation was observed between infarct size (ASPECTS) and hs-cTnI serum level [95% confidence interval (CI): -0.3216 to -0.1193; P<0.0001]. Almost 94% of patients who had an ASPECTS higher than 3 points on admission survived, resulting in a favorable outcome and a very good predictability of the score (95% CI: 0.85 to 0.926, P<0.0001). The ASPECTS is a mortality predictor, its value correlating inversely with the severity and evolution of patients, confirming a good predictability with good specificity, sensitivity and area under the curve.
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