1Associate Professor Department of Physiology, Shridev Suman Subharti Medical College, Dehradun, India
2Assistant Professor Department of Physiology, Shridev Suman Subharti Medical College, Dehradun, India
3Professor, Department of Physiology, Shridev Suman Subharti Medical College, Dehradun, India
4Professor, Department of Physiology, Saraswathi Institute of Medical Sciences, Hapur, India
5Senior Resident, Department of Physiology, Shridev Suman Subharti Medical College, Dehradun, India
*Corresponding author: Dr Ashish Goel Associate Professor, Dept.of Physiology, Shridev Suman Subharti Medical College, Dehradun Mobile No: 9758343457 Email: drashishgoel2012@gmail.com
Online published on 2 November, 2018.
The mean platelet volume is an established indicator linked with platelet function and action. Increased MPV in thromboembolic disorder is reflected as a key risk factor. The aim of this study was to compare the MPV and mean platelet volume/platelet count (MPV/PC) ratio between ischemic stroke (cases) and control subjects and additionally, to also reveal their diagnostic value to help stratify risk in patients with ischemic stroke.
This is a cross-sectional analytical study conducted in Himalayan Institute of Medical Sciences, Dehradun encompassing 50 successive patients with acute ischemic stroke (cases), and 50 healthy volunteers (controls). Blood samples were used to measure MPV and MPV/PC ratio.
The ischemic stroke patients have significantly higher MPV and MPV/PC ratio compared to the control group (p<0.01). MPV was significantly higher (p<0.01) amongst cases as compared to controls. Receiver operator characteristic (ROC) curve analysis revealed that an MPV cutoff value of >7.5 femtoliters provided 80.8% sensitivity and 78.5% specificity. The area under the ROC curve for MPV and MPV/PC ratio was 0.91 (CI: 0.893–0.921; p<0.01) and 0.84 (CI: 0.819–0.852; p<0.01) respectively, which indicates that both MPV and MPV/PC ratio predict ischemic stroke.
MPV and MPV/PC ratio may be deemed suggestive laboratory markers for the risk of ischemic stroke.
MPV, MPV/PC ratio, Ischemic Stroke prediction, Transient Ischemic Attack, ROC analysis