ABSTRACT
Dyslipidemia is a traditional risk factor for cerebrovascular disease and cardiovascular disease (CVD). CKD is associated with dyslipidemia. Patients with CKD will be more prone to the CVD and cerebrovascular disease as compared to normal healthy individuals. Thus, it is important to cover the postprandial lipid profile for better assessment and treatment of dyslipidemia. We wanted to study the postprandial lipid profile in patients of CKD. MethodsThis is a case control study conducted in Acharya Vinoba Bhave Rural Hospital (AVBRH) Sawangi (Meghe), Wardha, Maharashtra, between September 2016 and September 2018. In this study, we enrolled 150 cases and 75 controls. ResultsFasting lipid profile in CKD patients was higher as compared to controls and was found to have similar post-prandial lipid profile. When we compared the fasting and post-prandial lipid profile in patients with CKD, we found that a substantial difference existed. We found a considerable difference in the fasting and post-prandial lipid profiles even in the controls. ConclusionsPatients with CKD and diabetes mellitus had a significant increase in the total cholesterol, triglycerides, low density lipoprotein and very low-density lipoprotein in the fasting and post-prandial state. In clinical practice, the implementation of standardized methodologies and biomarker profiles would allow for the early and reliable detection of those at risk.
ABSTRACT
The risk of cardiovascular disease increases with obesity and thereby leads to increase in mortality in obese persons. Excess of adipose tissue causes cardiovascular abnormalities through endothelial dysfunction and insulin resistance. We wanted to study different risk factors for cardiovascular diseases by evaluating anthropometric measurements and lipid profiles in metabolic obese normal weight subjects with cardiovascular diseases. METHODSThis case control study was conducted in Jawaharlal Nehru Medical College, AVBRH Hospital, Wardha. After taking clearance from the Institutional Ethical Committee, 200 cases with cardiovascular disease, and 200 controls without the cardiovascular disease, were selected and their lipid profile and anthropometric measurements were evaluated and compared gender wise. RESULTSThere was significant association of weight in females (56.81 ± 3.94), BMI in males (24.32 ± 0.65), cholesterol in females (177.72 ± 16.93), height (163.15 ± 10.94 in males and 154.81 ± 3.76 in females), lean mass (48.92 ± 7.22 in males and 37.05 ± 7.14 in females), % body fat (22.79 ± 7.23 in males and 35.04 ± 9.73 in females), waist circumference (102.93 ± 1.12 in males and 93 ± 0 in females), Serum HDL (30.12 ± 6.98 in males and 33.45 ± 8.34 in females), triglyceride (156.84 ± 7.28 in males and 161.45 ± 10.34 in females) in both males and females. Whereas weight in males, BMI in females, cholesterol in males and serum LDL in both male and female had a P-value of greater than 0.05 and shows no possible association of these factors in the MONW subjects as a cause of cardiovascular diseases. CONCLUSIONSIn this study, we found that there is a significant association between some factors of anthropometric measurements and lipid profile with MONW. Hence, it was concluded that an early screening will help in identifying persons with high risk of cardiovascular disease, and can be a major contributor in prevention of cardiovascular disease.