Publication: Mean platelet volume and coronary artery disease: A systematic review and meta-analysis
No. of Pages/File Size
International Journal of Cardiology. Vol.175, No.3 (2014), 433-440
Nakarin Sansanayudh, Thunyarat Anothaisintawee, Dittaphol Muntham, Mark McEvoy, John Attia, Ammarin Thakkinstian (2014). Mean platelet volume and coronary artery disease: A systematic review and meta-analysis. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/34211.
Mean platelet volume and coronary artery disease: A systematic review and meta-analysis
Background Platelets with high hemostatic activity play an important role in the pathophysiology of coronary artery disease(CAD) and mean platelet volume(MPV) has been proposed as an indicator of platelet reactivity. Thus, MPV may emerge as a potential marker of CAD risk. The aim of this study was to conduct a systematic review and meta-analysis comparing mean difference in MPV between patients with CAD and controls and pooling the odds ratio of CAD in those with high versus low MPV. Methods Medline and Scopus databases were searched up to 12 March 2013. All observational studies that considered MPV as a study's factor and measured CAD as an outcome were included. Two reviewers independently selected the studies and extracted the data. Results Forty studies were included in this meta-analysis. The MPV was significantly larger in patients with CAD than controls with the unstandardized mean difference of 0.70 fL (95% CI: 0.55, 0.85). The unstandardized mean difference of MPV in patients with acute coronary event and in patients with chronic stable angina was 0.84 fL (95% CI: 0.63, 1.04) and 0.46 fL (95% CI: 0.11, 0.81) respectively. Patients with larger MPV (≥ 7.3 fL) also had a greater odds of having CAD than patients with smaller MPV with a pooled odds ratio of 2.28 (95% CI: 1.46, 3.58). Conclusion Larger MPV was associated with CAD. Thus, it might be helpful in risk stratification, or improvement of risk prediction if combining it with other risk factors in risk prediction models. © 2014 Elsevier Ireland Ltd. All rights reserved.