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(Circulation. 2009;119:1950-1955.)
© 2009 American Heart Association, Inc.
Preventive Cardiology |
From The George Institute for International Health (R.J., C.K.C., S.M., B.N.), University of Sydney, Sydney, Australia; Department of Cardiology, CARE Hospital, Hyderabad, India (P.K.R.); Department of Urology, CARE Hospital, and Byrraju Foundation, Hyderabad, India (R.R.); Public Health Foundation of India, New Delhi, India (K.S.R.); School of Population Health, University of Queensland, Brisbane, Australia (A.D.L.); and Australian Division of World Action on Salt and Health (B.N.).
Correspondence to Rohina Joshi, Senior Research Fellow, The George Institute for International Health, Lecturer, Faculty of Medicine, University of Sydney, PO Box M201, Missenden Rd, Sydney, NSW 2050, Australia. E-mail rjoshi{at}thegeorgeinstitute.org
Received September 2, 2008; accepted January 23, 2009.
| Abstract |
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Methods and Results— Data were collected from 53 villages in the Godavari region of Andhra Pradesh. Mortality data were obtained from a verbal autopsy-based mortality surveillance system during a 12-month period in 2003 to 2004. The prevalence of nonfatal cardiovascular disease and the use of preventive therapies were estimated from a stratified random sample of 4535 adults (
30 years of age) in 2005. Cardiovascular disease was the leading cause of mortality, accounting for at least 32% of all deaths. The average age at cardiovascular death was 65 years, and 51% of all cardiovascular deaths occurred in patients <70 years of age. Among adults, the prevalence of coronary heart disease was estimated to be 4.8% (95% CI, 4.1 to 5.5), and the prevalence of cerebrovascular disease was estimated at 2.0% (95% CI, 1.5 to 2.4). Among individuals with either diagnosis, 14% (95% CI, 10 to 18) reported taking aspirin, 41% (95% CI, 36 to 47) took a blood pressure-lowering medication, and 5% (95% CI, 3 to 7) reported using a cholesterol-lowering medication.
Conclusion— This region has a large disease burden attributable to cardiovascular disease with significant underuse of proven, low-cost preventive medications.
Key Words: cardiovascular diseases India morbidity mortality prevention
| Introduction |
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Editorial p 1850
Clinical Perspective p 1955
Much of the information about CVD in India derives from projects done in urban regions, and there are relatively few data defining the burden and management of CVD in rural settings. Reliable information about the pattern of CVD in rural areas is important because >70% of the Indian population lives outside cities.7 Furthermore, resources to address the evolving epidemic of CVD in rural areas are even fewer than in urban settings,8 and optimal use of scarce healthcare resources is vital.
The objective of this report is to define the fatal and nonfatal burden of CVD in a population from a rural area of India and to describe the current use of proven drug-based preventive strategies in persons living with CVD.
| Methods |
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20 km. Both studies were approved by the ethics committees of the CARE Foundation, Hyderabad, India, and the University of Sydney (Sydney, Australia). All participants provided informed consent. For participants who could not read or write, the participant information sheet and consent form were read by the interviewer, and a thumb impression was taken in place of a signature. The study was conducted in accordance with the Declaration of Helsinki and subsequent amendments.
The Mortality Surveillance System
Mortality data were collected using a verbal autopsy method that is well established in India and is used to define causes of death in many developing countries.2,9–11 The method is based on the assumption that most causes of death can be distinguished by symptoms and signs that can be recognized, recollected, and reported by a respondent present during the period leading up to the death.12 The verbal autopsy instruments used in the present study have previously been validated in India and other developing countries.2,10,13 The methods for this particular surveillance system have been described in detail previously.14 In brief, a female multipurpose healthcare worker resident in each village was trained to identify all deaths that occurred in that village using a network of key informants. The village populations were defined on the basis of a census done in 2002 to 2003. For each identified death, the multipurpose healthcare worker conducted a standardized interview with a close relative or caregiver of the deceased using an established verbal autopsy tool. The data collected during the verbal autopsy process were then coded independently by 2 trained physicians, and an underlying cause of death was assigned according to the International Classification of Diseases (ICD; version 10). Immediate and/or contributory causes also were assigned wherever possible. A third physician was involved if there were disagreements between the underlying cause of death assigned by the 2 physicians.
Survey of Disease Prevalence and Treatment Patterns
Disease prevalence and treatment patterns were estimated from a large-scale age- and sex-stratified random sample of adults
30 years of age in 20 villages. Details of the design and methodology have been published previously.15 In brief, the 20 villages were selected on the basis of population size, district, and distance from a large town to achieve a group of villages representative of the Godavari region. Adult individuals from these villages were then randomly selected from population lists stratified by age group (30 to 39, 40 to 49, 50 to 59,
60 years) and sex to ensure that approximately equal numbers of individuals were drawn from each of the 8 age and sex groups. Data collection was done by trained interviewers who administered a structured questionnaire based on validated tools and expert advice from a range of sources.16–19 The questionnaire was translated into the local language of Telugu with check back-translation and resolution of discrepancies. A pilot study was conducted to validate the questionnaire and to address logistical issues.20 Coronary heart disease was defined as present if a participant answered yes to one of the following questions: "Have you been told by a doctor that you have had heart attack?" and "Have you been told by a doctor that you have angina?" Cerebrovascular disease was considered present if a positive response was given to the question, "Have you been told by a doctor that you have had a stroke?" Self-reported diagnoses were checked against written medical records held by the patient or a diagnosis by a local physician in a subsequent validation survey. Patterns of treatment for secondary prevention were based on direct questioning about use of aspirin and blood pressure-lowering and cholesterol-lowering medications with cross-checking against patient-held medication lists, written prescriptions, or packs of medication.
Statistical Analysis
The rates of death from CVD, overall and for each age and sex group, were calculated by dividing the relevant number of deaths by the number of individuals in the 2002 to 2003 population census and expressed as rates per 1000. Proportional mortality was calculated by dividing the number of deaths attributed to CVD by the total number of deaths recorded. The prevalence of CVD was estimated for the population
30 years of age living in the 20 villages by applying sampling weights (ratio of population to sample size for each combination of age, sex, and village). These weights account for the unequal probabilities of selection that occurred with the stratified sampling method. Percentages of participants with CVD using preventive treatments are simple proportions with 95% CIs calculated. Comparisons of proportions between groups were done with
2 tests with all tests accounting for the study sampling method and weighting technique. Statistical analyses were carried out with SPSS version 12 and STATA 8.0 for survey analysis.
The authors had full access to and take full responsibility for the integrity of the data. All authors have read and agree to the manuscript as written.
| Results |
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30 years of age. Verbal autopsies were completed for 1146 of the adult deaths (98%). The cardiovascular mortality rate was 5.1 per 1000 population (Figure), and the all-cause mortality rate was 7.5 per 1000 population. CVD (coronary heart disease and stroke) was the leading causes of mortality, responsible for more than one third of all deaths in adults
30 years of age (Table 1).14 Coronary heart disease was responsible for 15.8% of all-cause mortality, cerebrovascular disease for 14.7%, heart failure for 2.4%, and other heart diseases (rheumatic heart disease, hypertensive heart disease, and other unspecified cardiovascular conditions) for 3.9%. Sudden unexplained death was responsible for an additional 4.7% of adult mortality. Of the 18% of all deaths classified as ill defined (ICD-10 R00-R99), more than one half were in the elderly (
70 years of age), and a significant proportion were likely cardiovascular in origin. One half and one third of all cardiovascular deaths (coronary heart disease and stroke) occurred before 70 and 60 years of age, respectively, with rates at all ages greatly surpassing those in the United States (Figure).21 CVD was responsible for a greater proportion of deaths in men (P=0.022), and there was the anticipated rise in rates of cardiovascular death with increasing age (Figure).
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Nonfatal CVD
The survey was done in 20 villages, 12 of which were also encompassed by the mortality surveillance system. In total, 4535 participants agreed to take part and provided informed consent, giving an overall response rate of 80.6% with questionnaire data for these individuals >99% complete. Nonresponders were similar in age and sex distribution to responders. The population was entirely rural, with 54% (95% CI, 52 to 56) of the population being unskilled manual laborers working mainly in agriculture and aquaculture. Forty-seven percent (95% CI, 45 to 49) were literate, and the mean monthly income per household was Rs 2238 (95% CI, 2107 to 2326) (US $51; 95% CI, 48 to 53).
The overall prevalence of CVD (coronary heart disease or stroke) among adults
30 years of age was 6.6% (95% CI, 5.8 to 7.4); 4.8% (95% CI, 4.1 to 5.5) reported coronary heart disease (heart attack or angina), and 2.0% (95% CI, 1.5 to 2.4) reported stroke (Table 1). There were no detectable differences in the rates of coronary heart disease or stroke between men and women, but the prevalence of both tended to increase with age. The mean age of individuals reporting CVD was 54 years (95% CI, 52 to 55). In the subsequent validation of self-reported diagnoses of coronary heart disease and stroke, the diagnosis was confirmed in 74% of cases, and there was insufficient evidence to confirm or refute the other one quarter.
Use of Proven Drug Treatments for Secondary Prevention
Among individuals with a history of CVD, 14% (95% CI, 10 to 18) reported using aspirin, 41% (95% CI, 36 to 47) used blood pressure-lowing therapy, and 4.6% (95% CI, 2.5 to 6.8) were on cholesterol-lowering therapy. Nineteen percent (95% CI, 14.6 to 23.6) reported using
2 of these treatments (Table 2).
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Knowledge About the Determinants of Cardiovascular Risk
Only 56% (95% CI, 49 to 62) of individuals with CVD answered yes when asked whether cessation of smoking would prevent heart disease. Of these high-risk individuals, 50% (95% CI, 43% to 56%) had knowledge about the benefits of physical activity, only 62% (95% CI, 56 to 68) knew that they should avoid fatty foods, and 62% (56% to 68%) knew the beneficial effects of reducing salt in their diet.
| Discussion |
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The study also highlights the problem of premature mortality in this population in which one half and one third of all cardiovascular deaths occurred before 70 and 60 years of age, respectively, with very substantial economic and social implications.6 Although 41% of all cardiovascular deaths occurred <65 years of age in this Indian population, only 17% of all cardiovascular deaths occurred in the same age group in the United States (Figure). The prematurity of CVD identified here coincides with data from another major study that showed that South Asians suffered first myocardial infarction an average of
6 years earlier than in other countries.22 In 2000, India was estimated to have lost more potentially productive years of life to CVD than any other country in the world (9.2 million years of life lost among people 35 to 64 years of age).3,23 Without effective intervention, this figure is projected to double in the next 2 decades.23
The cardiovascular mortality fraction identified here is broadly comparable to that reported for a recent study done in urban (38%) and rural (23%) Tamil Nadu24 but slightly greater than reported for a prior study done in Andhra Pradesh in the late 1990s in which 16% of mortality was attributed to ischemic heart disease and 11% to cerebrovascular disease.25 There have been few reports of the prevalence of CVD in India in the last decade,26–30 but recent surveys of urban populations in Delhi30 and Chennai29 have reported a CVD prevalence of 7.3% and 11.0%, respectively. No recent data are available for rural India, but the prevalence rates in Punjab (3.1%)31 and Rajasthan (4.3%)27 reported in the early 1990s are lower than recorded here. Although the prevalence of cerebrovascular disease observed in this population is higher than in the United States (2.0% versus 0.8%), the prevalence of coronary heart disease is similar (4.8% versus 4.7%).32 The proportionate mortality definitely ascribed to CVD in this study is probably an underestimate of the true proportion because a substantial number of sudden or ill-defined deaths are likely also cardiovascular in cause.24,33,34 In regard to nonfatal CVD, the reported prevalence may be an overestimate because only three quarters could be confirmed by the validation process. Conversely, it is also possible that the self-report method used here may have missed cases because it is unlikely to have been fully sensitive. Diagnostic services are limited in the study region, and a large number of those surveyed would not have had the means to access the facilities that are available.35 The key point is that even the lowest plausible estimate of prevalence (assuming no true cases were missed and only three quarters of reported cases were true cases) suggests a substantial burden of CVD (
4.95% prevalence). Having a truly unbiased estimate of prevalence would clearly be preferable, but the information we provide here about the lower plausible bound of prevalent CVD in this part of rural India is a significant advancement in its own right.
Survivors of CVD are at very high risk of recurrent events36–38 and represent an easily identified group among whom preventive therapies are highly cost-effective. Although clinical trials have clearly demonstrated the benefits of low-dose aspirin, β-blockers, angiotensin-converting enzyme inhibitors, and lipid-lowering therapy among such individuals,39,40 data from developing41 and developed32,42 countries show considerable treatment gaps. The use of these secondary preventive therapies was much lower in rural Andhra Pradesh compared with the other studies. For example, the use of aspirin in our study was 14% compared with 81% in the World Health Organization Prevention of Recurrences of Myocardial Infarction and Stroke (WHO-PREMISE) study41 and 84% in the European Action on Secondary Prevention by Intervention to Reduce Events (EUROASPIRE) trial.42 Similarly, the use of statins was much lower compared with WHO-PREMISE and EUROASPIRE (5% versus 20.8% and 57.7%, respectively). There is strong evidence that secondary prevention would be highly cost-effective even in very resource-poor settings,43,44 and India, with one of the best-developed generic drug industries in the world, is well placed to deliver preventive therapies to large numbers at low cost. Combination drug therapy can reduce the risk of recurrent events by three quarters,45–47 and a polypill comprising low-dose aspirin, β-blocker, angiotensin-converting enzyme inhibitor, and statin may have much to offer in this situation.43,47 Behavioral interventions such as smoking cessation, increased physical activity, weight management, and healthy eating may also have significant potential.36
Although treatments for the prevention of CVD are many, uptake has been limited in low- and middle-income countries.41 This reflects multiple issues related to the unavailability and unaffordability of medicines,46 as well as the shortage and inaccessibility of healthcare providers. Physician-based models of care have been effective in reducing morbidity and mortality from CVD in high-income countries but are not plausible for most low- and middle-income settings where trained physicians are few and the capacity of the populace to pay for their services is limited.48 The problem is further exacerbated for rural regions because the healthcare workforce, particularly physicians, tends to concentrate in urban areas.8 Systems based on nonphysician healthcare providers may be of great value. Not only are nonphysician healthcare providers more numerous and widely distributed than physicians, but their services are affordable to a much larger proportion of the population. There is some evidence to support the notion that nonphysician health workers can be trained to make safe and appropriate treatment decisions for the management of patients with CVD.49 India has a well-established primary healthcare system based on nonphysician healthcare providers that currently focuses on maternal and child health and infectious diseases. Developing this system to provide basic care for chronic conditions such as CVD may be one approach that could be delivered at relatively low cost and in a relatively short timeframe.35
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| Acknowledgments |
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Sources of Funding
Funding support for this project was provided by the Byrraju Foundation, the Wellcome Trust (grant GR076471MF), and the George Foundation of The George Institute for International Health, Sydney. Dr Joshi was supported by an International Post-Graduate Research Scholarship and an International Post-Graduate Award from the University of Sydney. Dr Chow was supported by a scholarship awarded by the National Health and Medical Research Council of Australia, and Dr Neal was supported by a fellowship from the National Heart Foundation of Australia. This work was also supported by an NHMRC grant (358395).
Disclosures
None.
| References |
|---|
|
|
|---|
2. Jha P, Gajalakshmi V, Gupta PC, Kumar R, Mony P, Dhingra N, Peto R, for the RGI-CGHR Prospective Study Collaborators. Prospective study of one million deaths in India: Rationale, design and validation results. PLoS Med. 2006; 3: e18.[CrossRef][Medline] [Order article via Infotrieve]
3. Reddy KS, Shah B, Varghese C, Ramadoss A. Responding to the threat of chronic diseases in India. Lancet. 2005; 366: 1744–1749.[CrossRef][Medline] [Order article via Infotrieve]
4. Reddy KS. Cardiovascular disease in non-Western countries. N Engl J Med. 2004; 350: 2438–2440.
5. Greenberg H, Raymond SU, Leeder SR. Cardiovascular disease and global health: threat and opportunity. Available at: http://content.healthaffairs.org/cgi/reprint/hlthaff.w5.31v1.pdf. Accessed September 19, 2007.
6. World Health Organization. Preventing chronic diseases: a vital investment. Available at: http://www.who.int/chp/chronic_disease_report/en/. Accessed January 7, 2008.
7. India at a glance: rural urban distribution: census of India 1991. Available at: http://www.censusindia.net/rural.html. Accessed August 15, 2005.
8. World Health Organization. World Health Report 2006: Working Together for Health. Geneva, Switzerland: World Health Organization; 2006.
9. Setel PW, Whiting DR, Hemed Y, Chandramohan D, Wolfson LJ, Alberti KGMM, Lopez AD. Validity of verbal autopsy procedures for determining cause of death in Tanzania. Trop Med Int Health. 2006; 11: 681–696.[CrossRef][Medline] [Order article via Infotrieve]
10. Yang G, Rao C, Ma J, Wang L, Wan X, Dubrovsky G, Lopez AD. Validation of verbal autopsy procedures for adult deaths in China. Int J Epidemiol. 2006; 35: 741–748.
11. Setel PW, Rao C, Hemed Y, Whiting DR, Yang G, Chandramohan D, Alberti K. GMM, Lopez AD. Core verbal autopsy procedures with comparative validation results from two countries. PLoS Med. 2006; 3: e268.[CrossRef][Medline] [Order article via Infotrieve]
12. Snow RW, Armstrong JRM, Forster D. Childhood death in Africa: uses and limitation of verbal autopsies. Lancet. 1992; 340: 351–354.[CrossRef][Medline] [Order article via Infotrieve]
13. Gajalakshmi V, Peto R, Kanaka S, Balasubramanian S. Verbal autopsy of 48,000 adult deaths attributable to medical causes in Chennai (formerly Madras), India. BMC Public Health. 2002; 2: 7.[CrossRef][Medline] [Order article via Infotrieve]
14. Joshi R, Cardona M, Iyengar S, Sukumar A, Raju CR, Raju KR, Reddy KS, Lopez AD, Neal B. Chronic diseases now a leading cause of death in rural India: mortality data from the Andhra Pradesh Rural Health Initiative. Int J Epidemiol. 2006; 35: 1522–1529.
15. Chow CK. Cardiovascular Risk Factor Levels and Cardiovascular Risk Estimation in a Rural Area of India [dissertation]. Sydney, Australia: University of Sydney; 2007.
16. Meadows KAWP. Getting the question right: questionnaire design in diabetes care and research. Diabet Med. 1988; 5: 699–704.[Medline] [Order article via Infotrieve]
17. Rose GBH, Gillum RF, Prineas RJ. Cardiovascular Survey Methods. Geneva, Switzerland: World Health Organization; 1982.
18. World Health Organization. Steps instrument for NCD risk factors (core and expanded version 1.4): the WHO STEPwise approach to surveillance of noncommunicable diseases (STEPS). Available at: http://www.who.int/ncd_surveillance. Accessed April 8, 2005.
19. InterASIA Collaborative Group. Cardiovascular risk factor levels in urban and rural Thailand: the International Collaborative Study of Cardiovascular Disease in Asia (InterASIA). Eur J Cardiovasc Prev Rehabil. 2003; 10: 249–257.[CrossRef][Medline] [Order article via Infotrieve]
20. Chow C, Cardona M, Raju PK, Iyengar S, Sukumar A, Raju R, COlman S, Madhav P, Raju R, Reddy SK, Celermajer D, Neal B. Cardiovascular disease and risk factors among 345 adults in rural India: the Andhra Pradesh Rural Health Initiative. Int J Cardiol. 2007; 116: 180–185.[CrossRef][Medline] [Order article via Infotrieve]
21. Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed mortality file 1999–2005. Available at: http://wonder.cdc.gov/cmf-icd10.html. Accessed August 26, 2008.
22. Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, McQueen M, Budaj A, Pais P, Varigos J, Lisheng L, for the INTERHEART Study Investigators. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004; 364: 937–952.[CrossRef][Medline] [Order article via Infotrieve]
23. Leeder S, Raymond S, Greenberg H, Liu H. A Race Against Time: The Challenge of Cardiovascular Disease in Developing Economies. New York, NY: Columbia University; 2003.
24. Gajalakshmi V, Peto R. Verbal autopsy of 80,000 adult deaths in Tamil Nadu, South India. BMC Public Health. 2004; 4: 47.[CrossRef][Medline] [Order article via Infotrieve]
25. Mahapatra P, Chalapati Rao PV. Cause of death in rural areas of Andhra Pradesh, 1998. Hyderabad, India: Institute of Health Systems; 1998. Working paper series.
26. Singh RB, Sharma JP, Rastogi V, Raghuvanshi RS, Moshiri M, Verma SP, Janus ED. Prevalence of coronary artery disease and coronary risk factors in rural and urban populations of north India. Eur Heart J. 1997; 18: 1728–1735.
27. Gupta R, Gupta HP, Keswani P, Sharma S, Gupta VP, Gupta KD. Coronary heart disease and coronary risk factor prevalence in rural Rajasthan. J Assoc Physicians India. 1994; 42: 24–26.[Medline] [Order article via Infotrieve]
28. Singh RB, Niaz MA, Ghosh S, Beegom R, Agarwal P, Nangia S, Moshiri M, Janus ED. Low fat intake and coronary artery disease in a population with higher prevalence of coronary artery disease: the Indian Paradox. J Am Coll Nutr. 1998; 17: 343–350.
29. Mohan V, Deepa R, Rani SS, Premalatha G, for Chennai Urban Population Study (CUPS No. 5). Prevalence of coronary artery disease and its relationship to lipids in a selected population in South India: the Chennai Urban Population Study (CUPS No. 5). J Am Coll Cardiol. 2001; 38: 682–687.
30. Prabhakaran D, Shah P, Chaturvedi V, Ramakrishnan L, Manhapra A, Reddy KS. Cardiovascular risk factor prevalence among men in a large industry of northern India. Natl Med J India. 2005; 18: 59–61.[Medline] [Order article via Infotrieve]
31. Wander GS, Khurana SB, Gulati R, Sachar RK, Gupta RK, Khurana S, Anand IS. Epidemiology of coronary heart disease in a rural Punjab population: prevalence and correlation with various risk factors. Indian Heart J. 1994; 46: 319–323.[Medline] [Order article via Infotrieve]
32. Qureshi AI, Suri FK, Guterman LR, Hopkins LN. Ineffective secondary prevention in survivors of cardiovascular events in the US population: report from the Third National Health and Nutrition Examination Survey. Arch Intern Med. 2001; 161: 1621–1628.
33. Khosravi A, Rao C, Naghavi M, Taylor R, Jafarib N, Lopez AD. The impact of misclassification on measures of cardiovascular disease mortality in the Islamic Republic of Iran: a cross-sectional study. Bull World Health Organ. 2008; 86: 688–696.[CrossRef][Medline] [Order article via Infotrieve]
34. Mahapatra P, Rao CPV. Cause of death reporting systems in India: a performance analysis. Natl Med J India. 2001; 14: 154–162.[Medline] [Order article via Infotrieve]
35. Joshi R, Jan S, Wu Y, MacMahon S. Global inequalities in access to cardiovascular healthcare: our greatest challenge. J Am Coll Cardiol. 2008; 52: 1817–1825.
36. Mehta RH, Eagle KA. Fortnightly review: secondary prevention in acute myocardial infarction. BMJ. 1998; 316: 838–842.
37. Law MR, Watt HC, Wald NJ. The underlying risk of death after myocardial infarction in the absence of treatment. Arch Intern Med. 2002; 162: 2405–2410.
38. PROGRESS Collaborative Group. Randomised trial of a perindopril-based blood-pressure-lowering regimen among 6105 individuals with previous stroke or transient ischaemic attack. Lancet. 2001; 358: 1033–1041.[CrossRef][Medline] [Order article via Infotrieve]
39. Antithrombotic Trialists Collaboration. Collaborative metaanalysis of randomised trials of antiplatelet therapy for prevention of death, myocardial infarction, and stroke in high risk patients. BMJ. 2002; 324: 71–86.
40. Freemantle N, Cleland J, Young P, Mason J, Harrison J. Beta blockade after myocardial infarction: systematic review and meta regression analysis. BMJ. 1999; 318: 1730–1737.
41. Mendis S, Abegunde D, Yusuf S, Ebrahim S, Shaper G, Ghannem H, Shengelia B. WHO study on Prevention of Recurrences of Myocardial Infarction and Stroke (WHO-PREMISE). Bull World Health Organ. 2005; 83: 820–829.[Medline] [Order article via Infotrieve]
42. EUROASPIRE I and II Group. Clinical reality of coronary prevention guidelines: a comparison of EUROASPIRE I and II in nine countries. Lancet. 2001; 357: 995–1001.[CrossRef][Medline] [Order article via Infotrieve]
43. Gaziano TA, Opie LH, Weinstein MC. Cardiovascular disease prevention with a multidrug regimen in the developing world: a cost-effectiveness analysis. Lancet. 2006; 368: 679–686.[CrossRef][Medline] [Order article via Infotrieve]
44. Murray CJL, Lauer JA, Hutubessy RCW, Niessen L, Tomijima N, Rodgers A, Lawes CM, Evan DB. Effectiveness and costs of interventions to lower systolic blood pressure and cholesterol: a global and regional analysis on reduction of cardiovascular-disease risk. Lancet. 2003; 361: 717–725.[CrossRef][Medline] [Order article via Infotrieve]
45. Wald NJ, Law MR. A strategy to reduce cardiovascular disease by more than 80%. BMJ. 2003; 326: 1419–1423.
46. Mendis S, Fukino K, Cameron A, Laing R, Filipe A, Khatib O, Leowski J, Ewen M. The availability and affordability of selected essential medicines for chronic diseases in six low- and middle-income countries. Bull World Health Organ. 2007; 85: 279–288.[CrossRef][Medline] [Order article via Infotrieve]
47. World Health Organization. Secondary Prevention of Noncommunicable Diseases in Low- and Middle-Income Countries Through Community-Based and Health Service Interventions. Geneva, Switzerland: World Health Organization; 2002. WHO document WHO/EDM/2000.1.
48. World Health Organization. World Health Report 2006: Working Together for Health. Geneva: World Health Organization; 2006.
49. Abegunde DO, Shengelia B, Luyten A, Cameron A, Celletti F, Nishtar S, Pandurangi V, Mendis S. Can non-physician health-care workers assess and manage cardiovascular risk in primary care? Bull World Health Organ. 2007; 85: 432–440.[CrossRef][Medline] [Order article via Infotrieve]
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CLINICAL PERSPECTIVE
India, the second most populous country in the world, is undergoing rapid epidemiological transition, and vascular disease is known to be a major health issue in urban areas. However, 70% of Indias population resides in rural regions where data about cardiovascular disease are scant. A comprehensive survey of mortality and morbidity in 53 villages in rural Andhra Pradesh showed that cardiovascular disease was the leading cause of mortality, responsible for at least 32% of all deaths. The average age at cardiovascular death was 65 years, and 51% of all cardiovascular deaths occurred in patients <70 years of age. The prevalence of coronary heart disease among adults
30 years of age was also high, estimated to be 4.8%. Prevalent cerebrovascular disease was present in a further 2.0%. Few individuals with a history of vascular disease were using proven preventive treatments; only 14% (95% CI, 10 to 18) were taking aspirin, 41% (95% CI, 36 to 47) were on a blood pressure-lowering medication, and 5% (95% CI, 3 to 7) were taking a cholesterol-lowering medication. Secondary prevention has been identified as a cost-effective vascular disease management strategy for low- and middle-income countries. The challenge now is to identify service delivery mechanisms that can provide these proven low-cost therapies to the very large number at risk. With access to healthcare facilities limited by both availability and capacity to pay, novel nonphysician-based approaches to vascular prevention that use existing facilities may have an important role to play.
Circulation 2009 119: 1843-1845.
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T. A. Gaziano Is the Horse Already Out of the Barn in Rural India? Circulation, April 14, 2009; 119(14): 1850 - 1852. [Full Text] [PDF] |
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