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Indian Heart J ; 69(2): 211-216, 2017.
Article in English | MEDLINE | ID: mdl-28460769

ABSTRACT

BACKGROUND: Coronary artery disease (CAD) occurs at younger age in India but only a limited number of studies have evaluated risk factors and management status. This is a multisite observational registry to assess risk factors and treatment patterns in young patients presenting with acute coronary syndrome (ACS) and stable ischemic heart disease (IHD). METHODS: We recruited 997 young patients (men <55, women <65y) presenting with ACS or stable IHD successively at 22 centers across India. Details of baseline risk factors and management status were obtained. Descriptive statistics are reported. RESULTS: Mean age of participants was 49.1±8y, 72% were men and 68% had ACS. Family history of CAD was in 50%, diabetes 44%, hypertension 49%, history of dyslipidemia 11%, smoking/tobacco use 39%, and sedentary habits in 20%. 1.3% had "possible familial hypercholesterolemia". Metabolic risk factors (high BMI, diabetes and hypertension) were significantly greater in women (p<0.01). Women were older at diagnosis of CAD and presented more often with non-ST elevation ACS. In the study cohort antiplatelet use was in 85%, beta-blockers 38%, statins 63% and ACE inhibitors/ARBs in 41% while in ACS patients it was 80.5%, 54.6%, 80.8% and 40.8%, respectively. 35.9% patients underwent percutaneous coronary intervention while coronary bypass surgery was performed in 10.4%. CONCLUSIONS: Conventional risk factors including family history continue to play a pivotal role in premature CAD in Indians. Women have more of metabolic risk factors, present at a later age and have non-ST elevation ACS more often. There is a need to focus on improving use of evidence-based drug therapies and interventions.


Subject(s)
Coronary Artery Disease/epidemiology , Registries , Age of Onset , Coronary Angiography , Coronary Artery Disease/diagnosis , Female , Humans , Incidence , India/epidemiology , Male , Middle Aged , Prognosis , Prospective Studies , Risk Factors , Survival Rate/trends
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