ArticleMolecular neurobiology2025
Potential Predictive Value of Platelet Distribution Width for Functional Outcome After Ischemic Stroke.
Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Inflammatory Burden Index and One-Year Clinical Outcomes in Large Artery Atherosclerosis Ischemic Stroke: A Multicenter Prospective Study.European journal of neurology · 2025Article
- miRNAs and Hematological Markers in Non-Alcoholic Fatty Liver Disease-A New Diagnostic Path?Biomedicines · 2025Article
- Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression.Frontiers in neurology · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
Complete blood cell count (CBC) is the most common and readily available laboratory test in clinical practice. The relationships of some CBC indices with ischemic stroke have been reported in observational studies; however, the causal direction is not specified. This study aimed to explore the causal relationships between CBC indices and the modified Rankin Scale (mRS) score at 3 months after ischemic stroke. Genetic associations of 22 blood cell traits were obtained from the UK Biobank database (n = 350,475). The outcome data for ischemic stroke were obtained from the Genetic Ischemic Stroke Functional Outcome (GISCOME) network (n = 6021). We implemented two-sample Mendelian randomization (TSMR) and several complementary analyses to assess the causal association between blood traits and unfavorable outcome (3-month mRS > 2). The clinical cohort was validated based on the results of the MR analysis. TSMR result indicated causal association between genetically determined platelet distribution width (PDW) and adverse functional outcome after ischemic stroke (OR 1.48; 95% CI 1.13-1.95; p = 0.005). Complementary analyses showed negligible causal effect of genetic variants on stroke subtypes. In cohort study (n = 351), higher level of PDW was observed in the unfavorable outcome group. However, the multivariable logistic regression analysis failed to identify the improvement in predictive performance of stroke outcomes by adding PDW to the prediction model. Further correlation analysis revealed that PDW is positively correlated with serum glucose levels, and the level of PDW in the non-thrombolysed group was significantly higher than that in the thrombolysis group, indicating that PDW may be involved in stroke prognosis in an indirect way.
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