Study of Platelet Indices in Patients with Metabolic Syndromes: A Study Protocol
Divit P. Shah *
Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Deemed to be University, Wardha, India.
Sunil Kumar
Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences Deemed to be University, Wardha, India.
Sourya Acharya
Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Deemed to be University, Wardha, India.
Shilpa Bawankule
Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences Deemed to be University, Wardha, India.
*Author to whom correspondence should be addressed.
Abstract
Background: Metabolic syndrome is a syndrome of unified metabolic disorder which includes abdominal obesity (AO), hypertension, hypertriglyceridemia (HTG), hyperglycemia and decreased high-density lipoprotein (HDL). Metabolic syndrome subjects are exposed to greater chances to have insulin resistance, visceral fat accumulation, atherogenic changes to the vessels, abnormal lipid levels and abnormal functioning of endothelium. Platelets play a key role in hemostasis. The mean platelet volume (MPV) and platelet’s proportion are indicators of platelet function. This study aims to find the correlation between various platelet indices in patients with Metabolic syndromes.
Methods: This prospective study is planned to be conducted in AVBRH, Wardha. Patients anthropometric parameters like height, weight, blood pressure, waist circumference, hip circumference and biochemical parameters such as fasting blood glucose, serum triglycerides, serum HDL, and mean platelet volumes will be assessed. Total 130 subjects will be assessed and data will be analyzed to estimate a correlation between platelet indices and metabolic syndromes.
Expected Results: A significant correlation is expected between various platelet indices in patients of different metabolic syndromes.
Keywords: Metabolic syndrome, platelet indices, obesity, phenotypes, anthropometric indicators, correlation