Platelet volume indices as predictive biomarkers for diabetic complications in Type 2 diabetic patients

2017 
Background: Platelet volume indices (PVI) such as mean platelet volume (MPV), platelet distribution width (PDW), and platelet-large cell ratio (P-LCR) are the indicators of increased platelet activity and can be considered as potential biomarkers for diabetic complications. Purpose: To study PVI in Type 2 diabetics with and without complications in comparison to nondiabetic patients. Materials and Methods: A case–control study was conducted on 300 Type 2 diabetics and 200 nondiabetics. Detailed clinical history regarding duration, hypertension, and complications was taken. PVI was obtained using automated cell counter. Fasting blood glucose, hemoglobin A1c, lipid profile, creatinine were also obtained. Diabetics were further categorized into patients with complications and without complications. Statistical analysis was performed by Statistical Package for the Social Sciences Version 17 (Chicago, IL) Student's t -test and ANOVA test. Results: Platelet count was significantly decreased in diabetics ( P = 0.005). MPV was significantly increased in diabetic patients with complications as compared to diabetics without complications and nondiabetic group ( P P P = 0.000), nephropathy ( P = 0.005), and diabetic foot ( P = 0.048). PDW was significantly increased in diabetic retinopathy ( P = 0.035) and nephropathy ( P = 0.007). P-LCR had no statistically significant correlation with diabetic complications. Conclusion: MPV and PDW are predictive biomarkers of diabetic vascular complications. They are more significant in microvascular complications than macrovascular complications.
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