22 research outputs found

    Secular trends in cholesterol lipoproteins and triglycerides and prevalence of dyslipidemias in an urban Indian population

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    <p>Abstract</p> <p>Background</p> <p>Coronary heart disease is increasing in urban Indian subjects and lipid abnormalities are important risk factors. To determine secular trends in prevalence of various lipid abnormalities we performed studies in an urban Indian population.</p> <p>Methods</p> <p>Successive epidemiological Jaipur Heart Watch (JHW) studies were performed in Western India in urban locations. The studies evaluated adults ≥ 20 years for multiple coronary risk factors using standardized methodology (JHW-1, 1993–94, n = 2212; JHW-2, 1999–2001, n = 1123; JHW-3, 2002–03, n = 458, and JHW-4 2004–2005, n = 1127). For the present analyses data of subjects 20–59 years (n = 4136, men 2341, women 1795) have been included. In successive studies, fasting measurements for cholesterol lipoproteins (total cholesterol, LDL cholesterol, HDL cholesterol) and triglycerides were performed in 193, 454, 179 and 252 men (n = 1078) and 83, 472, 195, 248 women (n = 998) respectively (total 2076). Age-group specific levels of various cholesterol lipoproteins, triglycerides and their ratios were determined. Prevalence of various dyslipidemias (total cholesterol ≥ 200 mg/dl, LDL cholesterol ≥ 130 mg/dl, non-HDL cholesterol ≥ 160 mg/dl, triglycerides ≥ 150 mg/dl, low HDL cholesterol <40 mg/dl, high cholesterol remnants ≥ 25 mg/dl, and high total:HDL cholesterol ratio ≥ 5.0, and ≥ 4.0 were also determined. Significance of secular trends in prevalence of dyslipidemias was determined using linear-curve estimation regression. Association of changing trends in prevalence of dyslipidemias with trends in educational status, obesity and truncal obesity (high waist:hip ratio) were determined using two-line regression analysis.</p> <p>Results</p> <p>Mean levels of various lipoproteins increased sharply from JHW-1 to JHW-2 and then gradually in JHW-3 and JHW-4. Age-adjusted mean values (mg/dl) in JHW-1, JHW-2, JHW-3 and JHW-4 studies respectively showed a significant increase in total cholesterol (174.9 ± 45, 196.0 ± 42, 187.5 ± 38, 193.5 ± 39, 2-stage least-squares regression R = 0.11, p < 0.001), LDL cholesterol (106.2 ± 40, 127.6 ± 39, 122.6 ± 44, 119.2 ± 31, R = 0.11, p < 0.001), non-HDL cholesterol (131.3 ± 43, 156.4 ± 43, 150.1 ± 41, 150.9 ± 32, R = 0.12, p < 0.001), remnant cholesterol (25.1 ± 11, 28.9 ± 14, 26.0 ± 11, 31.7 ± 14, R = 0.06, p = 0.001), total:HDL cholesterol ratio (4.26 ± 1.3, 5.18 ± 1.7, 5.21 ± 1.7, 4.69 ± 1.2, R = 0.10, p < 0.001) and triglycerides (125.6 ± 53, 144.5 ± 71, 130.1 ± 57, 158.7 ± 72, R = 0.06, p = 0.001) and decrease in HDL cholesterol (43.6 ± 14, 39.7 ± 8, 37.3 ± 6, 42.5 ± 6, R = 0.04, p = 0.027). Trends in age-adjusted prevalence (%) of dyslipidemias in JHW-1, JHW-2, JHW-3 and JHW-4 studies respectively showed insignificant changes in high total cholesterol (26.3, 35.1, 25.6, 26.0, linear curve-estimation coefficient multiple R = 0.034), high LDL cholesterol ≥ 130 mg/dl (24.2, 36.2, 31.0, 22.2, R = 0.062), and high low HDL cholesterol < 40 mg/dl (46.2, 53.3, 55.4, 33.7, R = 0.136). Increase was observed in prevalence of high non-HDL cholesterol (23.0, 33.5, 27.4, 26.6, R = 0.026), high remnant cholesterol (40.1, 40.3, 30.1, 60.6, R = 0.143), high total:HDL cholesterol ratio ≥ 5.0 (22.2, 47.6, 53.2, 26.3, R = 0.031) and ≥ 4.0 (58.6, 72.5, 70.1, 62.0, R = 0.006), and high triglycerides (25.7, 28.2, 17.5, 34.2, R = 0.047). Greater correlation of increasing non-HDL cholesterol, remnant cholesterol, triglycerides and total:HDL cholesterol ratio was observed with increasing truncal obesity than generalized obesity (two-line regression analysis p < 0.05). Greater educational level, as marker of socioeconomic status, correlated significantly with increasing obesity (r<sup>2 </sup>men 0.98, women 0.99), and truncal obesity (r<sup>2 </sup>men 0.71, women 0.90).</p> <p>Conclusion</p> <p>In an urban Indian population, trends reveal increase in mean total-, non-HDL-, remnant-, and total:HDL cholesterol, and triglycerides and decline in HDL cholesterol levels. Prevalence of subjects with high total cholesterol did not change significantly while those with high non-HDL cholesterol, cholesterol remnants, triglycerides and total-HDL cholesterol ratio increased. Increasing dyslipidemias correlate significantly with increasing truncal obesity and obesity.</p

    Epidemiology of cardioprotective pharmacological agent use in stable coronary heart disease

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    AbstractObjectiveTo determine use of class and type of cardioprotective pharmacological agents in patients with stable coronary heart disease (CHD) we performed a prescription audit.MethodsA cross sectional survey was conducted in major districts of Rajasthan in years 2008–09. We evaluated prescription for classes (anti-platelets, β-blockers, angiotensin converting enzyme (ACE) inhibitors, angiotensin receptor blockers (ARB), calcium channel blockers (CCB) and statins) and specific pharmacological agents at clinics of physicians in tertiary (n = 18), secondary (n = 69) and primary care (n = 43). Descriptive statistics are reported.ResultsPrescriptions of 2290 stable CHD patients were audited. Anti-platelet use was in 2031 (88.7%), β-blockers 1494 (65.2%), ACE inhibitors 1196 (52.2%), ARBs 712 (31.1%), ACE inhibitors – ARB combinations 19 (0.8%), either ACE inhibitors or ARBs 1908 (83.3%), CCBs 1023 (44.7%), statins 1457 (63.6%) and other lipid lowering agents in 170 (7.4%). Among anti-platelets aspirin–clopidogrel combination was used in 88.5%. Top three molecules in β-blockers were atenolol (37.8%), metoprolol (26.4%) and carvedilol (11.9%); ACE inhibitors ramipril (42.1%), lisinopril (20.3%) and perindopril (10.9%); ARB's losartan (47.7%), valsartan (22.3%) and telmisartan (14.9%); CCBs amlodipine (46.7%), diltiazem (29.1%) and verapamil (9.5%) and statins were atorvastatin (49.8%), simvastatin (28.9%) and rosuvastatin (18.3%). Use of metoprolol, ramipril, valsartan, diltiazem and atorvastatin was more at tertiary care, and atenolol, lisinopril, losartan, amlodipine and simvasatin in primary care (p < 0.01).ConclusionsThere is low use of β-blockers, ACE inhibitors, ARBs and statins in stable CHD patients among physicians in Rajasthan. Significant differences in use of specific molecules at primary, secondary and tertiary healthcare are observed

    Translating evidence into policy for cardiovascular disease control in India

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    Cardiovascular diseases (CVD) are leading causes of premature mortality in India. Evidence from developed countries shows that mortality from these can be substantially prevented using population-wide and individual-based strategies. Policy initiatives for control of CVD in India have been suggested but evidence of efficacy has emerged only recently. These initiatives can have immediate impact in reducing morbidity and mortality. Of the prevention strategies, primordial involve improvement in socioeconomic status and literacy, adequate healthcare financing and public health insurance, effective national CVD control programme, smoking control policies, legislative control of saturated fats, trans fats, salt and alcohol, and development of facilities for increasing physical activity through better urban planning and school-based and worksite interventions. Primary prevention entails change in medical educational curriculum and improved healthcare delivery for control of CVD risk factors-smoking, hypertension, dyslipidemia and diabetes. Secondary prevention involves creation of facilities and human resources for optimum acute CVD care and secondary prevention. There is need to integrate various policy makers, develop effective policies and modify healthcare systems for effective delivery of CVD preventive care

    Aspirin for CV Risk Reduction To Be or Not To Be? That is the Question

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    Heart Failure with Preserved Ejection Fraction (HFpEF): Part 1 Review of Experience and Evidence in PARAGON-HF with Commentary

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    Heart failure with preserved ejection fraction (HFpEF) also known as diastolic heart failure is a complex entity. It is due to a variety of causes and has heterogeneous presentations and, therefore, has evaded evidence that is compelling for developing standard guidelines for therapeutic intervention. In February 2021, the US Federal Drug Agency approved Sacubitril-Valsartan (angiotensin receptor neprilysin inhibitor-angiotensin receptor blocker: ARNI-ARB) combination for HFpEF. The present review outlines the current experience and management of HFpEF. It also focuses on the evidence in the PARAGON-HF trial and provides a commentary. The second part of the review shall discuss the emerging importance of SGLT2 inhibitors for HFpEF

    Heart Failure with Preserved Ejection Fraction (HFpEF): Part 2 Review of Experience and Evidence with SGLT-2 Inhibitors and Commentary

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    Heart failure with preserved ejection fraction (HFpEF), also known as diastolic heart failure, is a complex entity. It is due to various causes and has heterogeneous presentations and therefore, has evaded evidence compelling for developing standard guidelines for therapeutic intervention. In February 2021, the US Federal Drug Agency approved Sacubitril-Valsartan (angiotensin receptor neprilysin inhibitor-angiotensin receptor blocker: ARNIARB) combination for HFpEF. A past review (Part 1) outlined the experience and management of HFpEF with comments on various clinical trials using other classes of drugs. This second part of the review shall discuss the emerging importance of SGLT-2 inhibitors for HFpEF

    Regional variations in cardiovascular risk factors in India: India heart watch

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    Cardiovascular disease (CVD) is an important cause of mortality and morbidity in India. Mortality statistics and morbidity surveys indicate substantial regional variations in CVD prevalence and mortality rates. Data from the Registrar General of India reported greater age-adjusted cardiovascular mortality in southern and eastern states of the country. Coronary heart disease (CHD) mortality is greater in south India while stroke is more common in the eastern Indian states. CHD prevalence is higher in urban Indian populations while stroke mortality is similar in urban and rural regions. Case-control studies in India have identified that the common major risk factors account for more than 90% of incident myocardial infarctions and stroke. The case-control INTERHEART and INTERSTROKE studies reported that hypertension, lipid abnormalities, smoking, obesity, diabetes, sedentary lifestyle, low fruit and vegetable intake, and psychosocial stress are as important in India as in other populations of the world. Individual studies have reported that there are substantial regional variations in risk factors in India. At a macro-level these regional variations in risk factors explain some of the regional differences in CVD mortality. However, there is need to study the prevalence of multiple cardiovascular risk factors in different regions of India and to correlate them with variations in CVD mortality using a uniform protocol. There is also a need to determine the “causes of the causes” or fundamental determinants of these risk factors. The India Heart Watch study has been designed to study socioeconomic, anthropometric and biochemical risk factors in urban populations in different regions of the country in order to identify regional differences
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