ABSTRACT
Background: Cardiovascular disease (CVD) is the most common cause of death worldwide. The present study was conducted to study uric acid as a potential biomarker in predicting the severity of CVD in terms of vessel involvement.Methods: A cross-sectional study, conducted at Rajiv Gandhi Super Speciality Hospital, Tahirpur, Delhi. A total of 52 consecutive male and female patients age between 30 to 70 years was included in this study. Written informed consent was obtained from all the enrolled patients. Automated analysers were used for the analysis of blood glucose, lipid profile and serum uric acid level. IBM SPSS Statistics (Version 20.0, IBM SPSS, IL, USA) was used for the statistical analyses.Results: In this study, a total of 52 consecutive patients were divided into three groups; single-vessel disease (n=19), double vessel disease (n=19) and triple vessel disease (n=14). Biochemical profile of all the groups was calculated. A group of triple vessel disease patients showing higher amount (164±42 mg/dl) of cholesterol level as compared to the other two groups (157±34 mg/dl). The mean level of serum uric acid levels significantly differed and its mean levels increases as the severity of vessel diseases increases. The receiver operating characteristic curve shows the uric level has 71% sensitivity and 52.5% specificity for detecting the severity of coronary vessel disease.Conclusions: This study demonstrated an increased serum uric acid levels were associated with increased severity of vessel disease, and serum uric acid is an independent risk factor for coronary artery disease.
ABSTRACT
BACKGROUND, Several studies have reported that the increased risk of hypertension is mainly due to alcohol intake, lack of physical activity, nutritional factors like high fat intake, anthropometric parameters like body weight and waist-to-hip ratio, and metabolic disorders like diabetes mellitus. However, the extensive review of literature suggests that in different parts of the world, the predictive risk factors are associated with risk of hypertension in different combinations.The main objectives of this study were to determine the predictors of hypertension in an urban population of India, using the variables depicting lifestyle, nutrition, and environment. METHODS AND RESULTS, Secondary data collected through a cross-sectional survey in a population proportionate sample were analyzed. Sample size was calculated using prevalence of one of the predictors (obesity) from previous studies.Subjects aged between 15 and 54 years, residing in New Delhi for at least one year were included in the study (n = 494). The WHO STEPS instrument for noncommunicable disease risk factors (Core and Expanded version 1.2) was used for data col-lection.Bivariate logistic regression analysis showed that hypertensive individuals were twice more likely to be male, of significantly higher age, and more likely, had received college education.The full model of logistic regression analysis showed that sex, age, education, weight, and pulse rate were significant predictors of hypertension. CONCLUSION, The most parsimonious regression model included age, sex, educational status, body mass index, physical inactivity, and hip girth as predictors of hypertension. Risk of hypertension may be predicted early in a population by suitable screening procedures.