Relationship between Glycaemic Parameters and Mean Platelet Volume among Pre-Diabetics and Non-Diabetics in a Predominantly Tribal Population
Journal Title: Journal of Clinical and Diagnostic Research - Year 2018, Vol 12, Issue 10
Abstract
ABSTRACT Introduction: Pre-diabetics are considered an important risk set within the population who though ‘apparently normal’ are at the highest risk of progression to clinical diabetes. Interventions in this subset can reduce or delay the onset of many dreaded complications of hyperglycaemia, especially cardiovascular complications, which are one of the leading causes of morbidity and mortality. Aim: The study was designed and carried out to determine the relationship between Mean Platelet Volume (MPV) and glycaemic parameters in non-diabetics of predominantly tribal origin. Materials and Methods: The study subjects were selected on the principle of convenient and consecutive sampling. Adult patients self-reporting to the Central Laboratory of a medical college hospital located in a predominantly tribal district of Odisha. Blood samples were collected for routine haematological and biochemical parameters. Based on the fasting plasma glucose, the patients were divided into normoglycaemics and pre-diabetics. The linear relationship between the quantitative variables was evaluated by computing the Pearson’s correlation coefficients. The independent relationship between MPV and the other study variables was analysed by multiple linear regressions. Results: The study was conducted with a total of 109 individuals (62 males and 47 females). Glycaemic parameters were significantly different between pre-diabetics and normoglycaemics with higher level in the pre-diabetics compared to normoglycaemics. Fasting Plasma Glucose (FPG) and Post Prandial Plasma glucose (PPPG) showed modest (r<0.5) positive correlation with MPV with variable statistical significance, but blood insulin level showed strong (r>0.5) positive correlation that was robustly significant. MPV was regressed on FPG, PPPG, insulin, cholesterol and total platelet count. The R square of the model varied between 0.415 and 0.637 for all the datasets with the highest value (0.637) for the pre-diabetics group. The strongest and statistically significant independent correlation was seen between MPV and insulin in all the datasets, with highest values in the pre-diabetics group (standardised beta coefficient=0.680). Conclusion: The glycaemic parameters especially fasting blood glucose, PPPG, and insulin were found to be correlated with MPV in both normoglycaemics as well as pre-diabetics. The pre-diabetics showed higher levels than normoglycaemics. Thus, MPV may serve as an important marker in early detection of cardiovascular complications, in the non-diabetics.
Authors and Affiliations
Suchismita Panda, Manoj Kumar Dash
Keywords
Related Articles
- EP ID EP522927
- DOI 10.7860/JCDR/2018/36564.12188
- Views 42
- Downloads 0
Cartilage Myringoplasty: An Ideal Grafting Technique for Complex Perforations
Introduction: Tympanoplasty is one of routinely performed surgeries in ENT practice. Using cartilage-perichondrium composite graft in selective cases gives better outcome. Aim: To study the outcome and feasibility of car...
Effects of Laparoscopic Sleeve Gastrectomy on Central Obesity and Metabolic Syndrome in Indian Adults- A Prospective Study
Introduction: Increasing incidence of obesity in Indian population has led to an exponential rise in the number of bariatric operations performed annually. Laparoscopic Sleeve Gastrectomy (LSG) has been proposed to cause...
Echocardiography in Transfusion Dependent Beta Thalassaemia Major Egyptian Children: Correlation with Thyroid Function Status and Ferritin Level
ABSTRACT Introduction: Iron-mediated cardiomyopathy is leading cause of death in β-thalassaemia (βTM). Thyroid dysfunction maybe associated with cardiac dysfunctions. Early detection of cardiac-function impairment can he...
Long Cord: A Knotty Affair
Images in Medicine
Foetal Magnetic Resonance Images of Two Cases of Aicardi Syndrome
Cerebral malformations are of fundamental importance in the clinical diagnosis of Aicardi Syndrome (AS). Some of these anomalies like callosal agenesis, cysts formation, posterior fossa anomalies and gross interhemispher...