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Correlation between inflammatory markers and platelet metrics in predicting ischemic stroke outcomes

Prisina Pavithran, Anju Prabhakar, Shabana Salim, Ashna Kallingal Akbar.




Abstract

Background: The burden of ischemic stroke, a leading cause of death and long-term disability globally, underscores the need for predictive indicators that can guide clinical interventions. Exploring the relationship between inflammatory and thrombotic biomarkers, such as C-reactive protein (CRP) and mean platelet volume (MPV) offers insights into their potential role in forecasting clinical outcomes in stroke patients.

Aims and Objectives: To investigate the association between MPV and CRP levels in predicting clinical outcomes in patients following ischemic stroke.

Materials and Methods: The study was conducted at the government medical college in Kozhikode. There were 108 subjects with the same number of cases and age-matched controls. The levels of MPV and CRP were analyzed, and statistical methodology was applied to establish the correlation between the measured variables and clinical outcomes after stroke.

Results: The results showed that the level of MPV and CRP was observed significantly in a stroke; there was a noticeably increased level of the above factors; an interesting result was obtained according to its correlation in the case where a positive relationship was established, which means that there is a strong connection between these biomarkers, the pathophysiologic mechanisms of a stroke, and further prognosis.

Conclusion: MPV and CRP can be used as determining predictors for predicting ischemic stroke; this case can provide different viewpoints to understand the prognostic factor in clinical practice. This test can be the best method, in conjunction with routine testing, to determine the current and further, status of the patient. However, future longitudinal analysis will be needed to acquire patients’ general findings and test for validation results with predictive markers.

Key words: Ischemic Stroke Outcomes; Mean Platelet Volume; C-Reactive Protein; Stroke Prognosis; Biomarkers in Stroke; Platelet Activation; Inflammatory Markers; Stroke Biomarker Predictability; Clinical Stroke Management






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