Platelets indices clinical implications in diabetes mellitus: A broader insight

Platelet indices (PIs) including high mean platelet volume (MPV), plateletcrit (PLC), and platelet distribution width (PLDW) are associated with poor glycemic control. In addition, they can indicate prothrombotic and procoagulation risk among patients with diabetes. PI measurement is cheap, quick and fits healthcare system needs in remote outreaching areas in low-income countries. However, a broader insight into their clinical implications in diabetes is lacking. To achieve a wider understanding, we reviewed PubMed/MEDLINE, Google Scholar and Cochrane Library for relevant articles investigating the role of PIs in diabetes mellitus. No limitation to the publication date was applied, which included all articles published up to August 17, 2024. The terms used were MPV, PLC, PLDW, platelet large cell ratio, glycated hemoglobin (HbA1c), PIs, platelet activity and diabetes mellitus. Out of the 790 articles retrieved, 187 full texts were reviewed, and 44 were included. PIs, when measurements are done promptly and within 2 h, could be short-term pointers to glycemic control in the life span of the platelets (2 wk). PIs are easy to perform, cheap and useful in remote outreaching areas with limited facilities where measurement of HbA1c is not available or cost-effective. However, PIs are not specific and are affected by demographic factors, such as pregnancy, renal failure, medications, hemoglobin and duration of diabetes. PIs could be implemented with daily blood glucose to inform doctors in low-income countries about their patients' glycemic control and cardiovascular risk. An important application might be when blood glucose control is needed quickly (before elective surgery).

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Publication Details

Journal
World Journal of Diabetes
Published
2025-02-28
DOI
https://doi.org/10.4239/wjd.v16.i4.100467
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
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article

Platelets indices clinical implications in diabetes mellitus: A broader insight

Hyder Osman Mirghani
World Journal of Diabetes
Inflammatory Biomarkers in Disease Prognosis
article

Platelets indices clinical implications in diabetes mellitus: A broader insight

Hyder Osman Mirghani
article en

Abstract

Platelet indices (PIs) including high mean platelet volume (MPV), plateletcrit (PLC), and platelet distribution width (PLDW) are associated with poor glycemic control. In addition, they can indicate prothrombotic and procoagulation risk among patients with diabetes. PI measurement is cheap, quick and fits healthcare system needs in remote outreaching areas in low-income countries. However, a broader insight into their clinical implications in diabetes is lacking. To achieve a wider understanding, we reviewed PubMed/MEDLINE, Google Scholar and Cochrane Library for relevant articles investigating the role of PIs in diabetes mellitus. No limitation to the publication date was applied, which included all articles published up to August 17, 2024. The terms used were MPV, PLC, PLDW, platelet large cell ratio, glycated hemoglobin (HbA1c), PIs, platelet activity and diabetes mellitus. Out of the 790 articles retrieved, 187 full texts were reviewed, and 44 were included. PIs, when measurements are done promptly and within 2 h, could be short-term pointers to glycemic control in the life span of the platelets (2 wk). PIs are easy to perform, cheap and useful in remote outreaching areas with limited facilities where measurement of HbA1c is not available or cost-effective. However, PIs are not specific and are affected by demographic factors, such as pregnancy, renal failure, medications, hemoglobin and duration of diabetes. PIs could be implemented with daily blood glucose to inform doctors in low-income countries about their patients' glycemic control and cardiovascular risk. An important application might be when blood glucose control is needed quickly (before elective surgery).

World Journal of DiabetesVol. 16(4)
University of Tabuk (SA)
No poverty
Openalex Percentile: Top 95%
Inflammatory Biomarkers in Disease Prognosis
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