ObjectiveCoronary Artery Disease (CAD) is the leading cause of morbidity and mortality all around the world. We evaluated the correlation of Red blood cell Distribution Width (RDW) with the severity of lesion on coronary angiography as assessed by Modified Gensini score (MGS) in CAD patients.MethodsA total of 576 consecutive patients admitted in Department of Cardiology over a period of one year, who underwent coronary angiography after diagnosis of CAD or presence of angina like chest pain and/or positive treadmill test were enrolled in the study (August 2014–May 2015). Patients were divided into two groups, with CAD (Group A) and without CAD (Group B). The RDW Cofficience of variance (RDW CV) and RDW standard deviatiton (RDW SD) of each patient, and their correlation with severity of CAD was assessed.ResultsOf the total 576 patients enrolled, 438 were in Group A and 138 were in Group B. The mean age of presentation in Group A and Group B was (53.64 ± 10.36 vs 49.4 ± 9.73) years (p < 0.0001). The Male and Female ratio overall was 2.42:1. Patients in Group A had significantly elevated RDW CV and RDW SD levels compared with those in Group B [(14.59 ± 1.04)% vs (13.6 ± 0.68)%, p < 0.0001], [(45.78 ± 4.76) vs (40.77 ± 3.01), p < 0.0001 respectively]. A significant positive correlation between RDW CV, RDW SD and MGS was noted (r = 0.33, p < 0.0001) (r = 0.43, p < 0.0001) respectively. On multivariate logistic regression analysis, RDW was demonstrated to be an independent predictor for angiographic CAD (OR = 4.17, 95% CI 3.05–5.69, p < 0.0001). On receiver operating characteristic curve (ROC) analysis, an RDW value of 14.3% was identified as an effective cut off point in diagnosing CAD with a sensitivity of 58.9% and specificity of 84.8%.ConclusionsRDW is an independent predictor of CAD and severity of coronary stenosis, suggesting that it can be a readily available marker for prediction and severity of CAD.

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Objectives: Cardiovascular risk factors for acute coronary syndrome (ACS) are on rise in people of Indian origin. Moreover, the prevalence of metabolic syndrome (MS) is higher in populations with ACS than in the general population. Thus, the aim of the study was to evaluate the cardiovascular risk factor profile of patients presenting with acute coronary syndrome and to study the prevalence and impact of metabolic syndrome in patients with acute coronary syndrome by using South Asian modified National cholesterol Education Program Adult Treatment Panel III definition. Methods: This study was conducted between October, 2010 and March, 2011 at Government General Hospital, Kurnool, India. A total of 100 patients with ST or non-ST segment elevation ACS and who had clinical, electrocardiographic and biochemical diagnosis within the first 24 hrs of clinical onset were enrolled in the study. The enrolled subjects were divided into two groups: those with MS and those without MS. Cardiovascular risk factors defined by components of MS were evaluated. Analysis was performed using SPSS software. Results: Sixty patients had MS along with ACS and 40 patients had ACS without MS. The most prevalent component of MS was increased waist circumference (83.3%), followed by increased triglycerides (78.3%) and increased fasting blood sugar (76.7%). Majority of patients (58.3%) had presence of three components of MS. Conclusion: The MS is a highly prevalent condition among the patients with ACS and is associated with severe coronary artery disease. The identification of MS imparts a high risk status to the patient in developing cardiovascular disease but at the same time provides abundant opportunities for intervention. Hence it is of paramount importance to aim for stricter goals and lower cut offs for intervention at all levels of prevention: primordial, primary and secondary.

Background: The present study was conducted to examine the association between various coronary risk factors and clinical parameters, with special emphasis on ankle-brachial index, in predicting the severity and complexity of coronary artery disease. Methods: Patients diagnosed with coronary artery disease at our hospital between September-2012 and December-2014 were examined in this study. Selected patients were screened for cardiovascular risk factors including diabetes, hypertension, smoking, and alcohol habits as well as for clinical parameters including body-mass index, waist-hip ratio, ankle-brachial index, and ejection fraction. All patients underwent coronary angiography and were evaluated for severity of coronary artery disease (based on number of vessels involved) and complexity of coronary angiographic lesions (measured by computer-assisted Syntax score calculator). The collected data were analyzed to determine the role of cardiovascular risk factors and clinical parameters as predictors of complexity and severity of coronary artery disease. Results: A total of 211 patients (mean age: 54.64 ± 9.9 years; 81% males) with coronary artery disease were analyzed. Findings revealed that diabetes mellitus (p < 0.001), hypertension (p < 0.001), smoking habits (p = 0.036), and low ankle-brachial index (p < 0.001) were independent predictors of complex coronary artery disease as measured by Syntax score. Significant associations were also evident between severity of coronary artery disease and diabetes mellitus (p < 0.001), hypertension (p < 0.001), and ankle-brachial index (p < 0.001). Conversely, other cardiovascular risk factors including body-mass index, alcohol habits, wait-hip ratio, and ejection fraction did not exhibit significant associations with severity and complexity of coronary artery. Conclusions: The early diagnosis of coronary artery can be predicated by evaluating diabetes, hypertension, and smoking habits in patients presenting with acute coronary syndrome. In addition, ankle-brachial index can be used as an effective non-invasive bedside tool, as an al-N. K. Cheruku et al. 839 ternative to Syntax score, in predicting the severity and complexity of coronary artery disease.