The Study of Platelet Parameters- Mean Platelet Volume (MPV) and Platelet Distribution Width (PDW) in Type 2 Diabetes Mellitus
Keywords:
Diabetes Mellitus, Platelet indices, MPV, PDW
Abstract
Background: Diabetes Mellitus is a global public health problem with morbidity due to complications caused by macrovascular and microvascular disease. Platelet parameters like Mean Platelet Volume (MPV) and Platelet Distribution Width (PDW) are related to platelet size, enzymatic activity and prothrombotic potential. These parameters can be obtained from routine hemogram reports of automated hematology analyzers at a relatively low cost. Fasting blood glucose, postprandial blood glucose, and hemoglobin A1C (HbA1c) are widely used to monitor glycaemic control in patients with DM. The aim of this study is to study Platelet parameters- Mean Platelet Volume (MPV) and Platelet Distribution Width (PDW) in type 2 diabetes and its predictive role in diabetic angiopathies. Methods: The present study was a Case control study carried for a period of 2 months. Statistical analysis was done with appropriate tests. Result: MPV values were lower in cases than controls. In controls, MPV shows a negative correlation with fasting blood sugar while in cases it shows a positive correlation with fasting blood sugar. MPV showed no association with HbA1c. PDW was high in cases than controls. In controls, negative correlation between PDW and FBS was observed, while in cases, a positive correlation was observed. A strong association between PDW and HbA1c was noted. At a cut off of 9.5 fL, MPV had a sensitivity of 78.33%, specificity of 70% and a positive predictive value of 72.30%. At a cut off of 15fL, PDW showed a sensitivity of 81.66%, specificity of 91.66% and a positive predictive value of 90.74%. Conclusion: The present study shows strong association between PDW and HbA1c and so it can be used as an indicator of impending vascular events. Of all the platelet parameters obtained by haematology cell counters, Platelet count is only widely used as investigative tool. Platelet indices can be used as simple and cost effective bio markers for predicting diabetic vascular complications.References
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Mean platelet volume and other platelet parameters in subjects with
Type 2 Diabetes Mellitus. Natl J Physiol Pharm Pharmacol 2017; 7(1): 51-
54.
12. Kamilla RA et al. Are Platelet indices useful in the evaluation of Type 2
diabetic patients? J Bras Patol Med Lab, v. 52, n.2, p.96-102, April
2016
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and Platelet Distribution Width with HbA1c. J Endocrinol Diab 4(4): 1-6
14. Binita Shah et al. The relationship between Diabetes, Metabolic
Syndrome, and Platelet activity as measured by Mean Platelet
Volume. Diabetes Care 35: 1074-1078, 2012
15. Akinbami Akinsegun et al. Mean Platelet Volume and platelet counts
in type 2 Diabetes Mellitus on treatment and non- diabetic mellitus
controls in Lagos, Nigeria. The Pan African Medical Journal-ISSN
1937-8688.
16. Agrawal A, et al. Correlation of Platelet Indices with Clinical Profile in
Elderly Patients: Study in Rural Teaching Hospital. Ann Med Health Sci
Res. 2018; 8:163-169
17. Damira Kadic et al. Mean Platelet Volume predicts the glycemic
control deterioration in diabetes mellitus type 2 patients. Medicinski
Glasnik, Volume 13, Number 1, February 2016.
18. Vagdatli E et al .Platelet distribution width: a simple, practical and
specific marker of coagulation. Hippokratia 2010 Jan-Mar; 14(1):28-
32
19. Rechcinski T et al . Prognostic value of platelet indices after acute
myocardial infarction treated with primary percutaneous coronary
intervention. Cardiol J .2013; 20 (5):491-8
20. Jindal S et al. Platelet indices in diabetes mellitus : indicators of
diabetic microvascular complications.Haematology.2011 Mar; 16
(2):86-9
21. Tolga Yilmaz and Ahu Yilmaz. Relationship between Altered Platelet
Morphological Parameters and Retinopathy in Patients with Type 2
Diabetes Mellitus. J Ophthalmol.2016;2016:9213623
2. Anirban Maitra.Kumar, Abbas and Aster. Robbins and Cotran Pathologic Basis of Disease: South Asia Edition. Vol 2. Chapter 24.The Endocrine System. Pg 1105-20
3. Farah Jabeen, Husan Afroz Rizvi, Farha Aziz, Afshan Zeeshan Wasti. Hyperglycemic induced variations in Hematological Indices in Type 2 Diabetics. International Journal of Advanced Research (2013), Volume 1, Issue 8, 322-334.
4. Belete Biadgo, Mulugeta Melku, Solomon Mekonnen Abebe, Molla Abebe. Hematological indices and their correlation with fasting blood glucose level and anthropometric measurements in type 2 diabetes mellitus patients in Gondar, Northwest Ethiopia. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2016:9
5. Bhanukumar M, Ramaswamy PKH, Peddi NK, Menon VB. Mean Platelet Volume and Platelet Distribution Width as Markers of Vascular Thrombosis in Type 2 Diabetes Mellitus.J Postgrad Med Edu Res 2016;50(3):127-13
6. Nahla A. M. Hamed (2016) Alterations in Hematological Parameters: Could it be a Marker in Diabetes Mellitus? BAOJ Diabet 2: 009.
7.Buch A, Kaur S, Nair R, Jain A. Platelet volume indices as predictive biomarkers for diabetic complications in Type 2 diabetic patients. J Lab Physicians 2017 Apr-Jun; 9 (2):84-88
8. Sharma M, Narang S, Nema SK. Study of altered platelet morphology
with changes in glycemic status. Int J Res Med Sci.2016 Mar; 4(3); 757-
761.
9. Ansari JN et al. Co-relation of Platelet Volume Indices with Lipid Profile
in Diabetic and Non Diabetic Patients: A Case Control Study.
Ejpmr, 2017, 4(6), 565-569
10. Lavanya Rajagopal, Sundaram Arunachalam, Saleh Mohammed
Abdullah,Vinothkumar Ganesan, Kumerasan Kathamuthu, Balaji
Ramraj. Journal of Clinical and Diagnostic Research.2018 Feb. Vol-12(2):
ECO1-ECO5
11. Anandhalakshmi S, Kalaivani A, Shivasekar G, Saravanan A. Evaluation of
Mean platelet volume and other platelet parameters in subjects with
Type 2 Diabetes Mellitus. Natl J Physiol Pharm Pharmacol 2017; 7(1): 51-
54.
12. Kamilla RA et al. Are Platelet indices useful in the evaluation of Type 2
diabetic patients? J Bras Patol Med Lab, v. 52, n.2, p.96-102, April
2016
13. Jaman S, Swagat R, et al (2017). Association of Mean Platelet Volume
and Platelet Distribution Width with HbA1c. J Endocrinol Diab 4(4): 1-6
14. Binita Shah et al. The relationship between Diabetes, Metabolic
Syndrome, and Platelet activity as measured by Mean Platelet
Volume. Diabetes Care 35: 1074-1078, 2012
15. Akinbami Akinsegun et al. Mean Platelet Volume and platelet counts
in type 2 Diabetes Mellitus on treatment and non- diabetic mellitus
controls in Lagos, Nigeria. The Pan African Medical Journal-ISSN
1937-8688.
16. Agrawal A, et al. Correlation of Platelet Indices with Clinical Profile in
Elderly Patients: Study in Rural Teaching Hospital. Ann Med Health Sci
Res. 2018; 8:163-169
17. Damira Kadic et al. Mean Platelet Volume predicts the glycemic
control deterioration in diabetes mellitus type 2 patients. Medicinski
Glasnik, Volume 13, Number 1, February 2016.
18. Vagdatli E et al .Platelet distribution width: a simple, practical and
specific marker of coagulation. Hippokratia 2010 Jan-Mar; 14(1):28-
32
19. Rechcinski T et al . Prognostic value of platelet indices after acute
myocardial infarction treated with primary percutaneous coronary
intervention. Cardiol J .2013; 20 (5):491-8
20. Jindal S et al. Platelet indices in diabetes mellitus : indicators of
diabetic microvascular complications.Haematology.2011 Mar; 16
(2):86-9
21. Tolga Yilmaz and Ahu Yilmaz. Relationship between Altered Platelet
Morphological Parameters and Retinopathy in Patients with Type 2
Diabetes Mellitus. J Ophthalmol.2016;2016:9213623
Published
2019-08-26
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