Mean Platelet Volume in Type 2 Diabetes Mellitus

Autor: Harendra Kumar Malligere Lingaiah, Thej Mothakapalli Jagadish, Udaya Kumar Manikyam, Venkataswamy Lakshmaiah, Madhavi Reddy, Thomas Alex Kodiatte, Suraksha Bellur Rao
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Journal of Laboratory Physicians, Vol 4, Iss 01, Pp 005-009 (2012)
Journal of Laboratory Physicians
ISSN: 0974-7826
0974-2727
Popis: Context: diabetes mellitus is a global pandemic. The increased platelet activity may play a role in the development of vascular complications of this metabolic disorder. The mean platelet volume (MPV) is an indicator of the average size and activity of platelets. Larger platelets are younger and exhibit more activity. Aims: to determine the MPV in diabetics compared to nondiabetics, to see if there is a difference in MPV between diabetics with and without vascular complications, and to determine the correlation of MPV with fasting blood glucose, glycosylated hemoglobin (HbA1c), body-mass index, and duration of diabetes in the diabetic patients. Materials and Methods: platelet counts and MPV were measured in 300 Type 2 diabetic patients and 300 nondiabetic subjects using an automated blood cell counter. The blood glucose levels and HbA1c levels were also measured. Statistical evaluation was performed by SPSS using Student’s t test and Pearson correlation tests. Results: the mean platelet counts and MPV were higher in diabetics compared to the nondiabetic subjects [277.46 ± 81 X 109/l vs. 269.79 ± 78 X 109/l (P= 0.256)], 8.29 ± 0.74 fl versus 7.47 ± 0.73 fl (P= 0.001), respectively. MPV showed a strong positive correlation with fasting blood glucose, postprandial glucose and HbA1C levels (P=0.001). Conclusions: our results showed significantly higher MPV in diabetic patients than in the nondiabetic subjects. This indicates that elevated MPV could be either the cause for or due to the effect of the vascular complications. Hence, platelets may play a role and MPV can be used as a simple parameter to assess the vascular events in diabetes.
Databáze: OpenAIRE