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Global epidemiology of acute coronary syndromes

Abstract

This Review provides an epidemiological overview of global mortality from acute coronary syndromes (ACS). Across the regions of the world where data are available, mortality from ACS — including premature (age <70 years) mortality from ACS — was higher in men than in women. In both sexes, age-standardized mortality rates (ASMRs) for ACS in 2020 were highest in lower-income global regions. However, 20 years earlier, ASMRs for ACS were highest in higher-income global regions, including Europe, Northern America and Oceania. These higher-income regions have seen progressive reductions in mortality from ACS during the past 20 years, which is in contrast to the more stable levels of mortality from ACS in Asia and in Latin America and the Caribbean. In the seven African countries with data available, a small upwards trend in ASMRs for ACS was observed, reflecting an epidemiological transition that is already well advanced in these regions. Consistent with these changes during the past 20 years were >50% reductions in ASMRs for ACS in the high-income countries of the world compared with <15% reductions in lower-middle-income countries. Policymakers need more complete epidemiological data across and within global regions to identify those countries in which the burden of death from ACS is greatest and the need to implement preventive strategies is most pressing.

Key points

  • The availability of data on mortality from acute coronary syndromes (ACS) is heterogeneous between global regions and is particularly sparse across sub-Saharan Africa and large parts of Asia.

  • In all regions of the world with available data, age-standardized mortality rates (ASMRs) for ACS were higher in men than in women.

  • In 2020, ASMRs for ACS in both sexes were higher in lower-income regions (Africa, Asia, and Latin America and the Caribbean) than in higher-income regions (Europe, Northern America and Oceania).

  • In Europe, Northern America and Oceania, steep declines in ASMRs for ACS have occurred in both men and women in the past 20 years, but ASMRs for ACS have increased in several Latin American, Caribbean and Asian countries.

  • Consistent with these regional changes are marked reductions in ASMRs for ACS in high-income countries during the past 20 years, whereas ASMRs for ACS have increased in lower-middle-income countries in both men and women.

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Fig. 1: Global distribution of ASMRs for ACS.
Fig. 2: Regional changes in ASMRs for ACS between 2000 and 2020.
Fig. 3: Country-level changes in ASMRs for ACS between 2000 and 2020.

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References

  1. World Health Organization. Cardiovascular Diseases https://www.who.int/health-topics/cardiovascular-diseases#tab=tab_1 (2023).

  2. Sanchis-Gomar, F., Perez-Quilis, C., Leischik, R. & Lucia, A. Epidemiology of coronary heart disease and acute coronary syndrome. Ann. Transl. Med. 4, 256 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Shah, R. et al. Epidemiology report: trends in sex-specific cerebrovascular disease mortality in Europe based on WHO mortality data. Eur. Heart J. 40, 755–764 (2019).

    Article  PubMed  Google Scholar 

  4. Townsend, N. et al. Cardiovascular disease in Europe: epidemiological update 2016. Eur. Heart J. 37, 3232–3245 (2016).

    Article  PubMed  Google Scholar 

  5. Mok, A. et al. Physical activity trajectories and mortality: population based cohort study. Br. Med. J. 365, l2323 (2019).

    Article  Google Scholar 

  6. Li, C. et al. Long-term physical activity participation trajectories were associated with subsequent cognitive decline, risk of dementia and all-cause mortality among adults aged ≥50 years: a population-based cohort study. Age Ageing 51, afac071 (2022).

    Article  PubMed  Google Scholar 

  7. Roffi, M. et al. 2015 ESC guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation: Task Force for the Management of Acute Coronary Syndromes in Patients Presenting without Persistent ST-Segment Elevation of the European Society of Cardiology (ESC). Eur. Heart J. 37, 267–315 (2016).

    Article  CAS  PubMed  Google Scholar 

  8. National Institute for Health and Care Excellence. Acute Coronary Syndromes: NICE Guideline [NG185] https://www.nice.org.uk/guidance/ng185 (2020).

  9. Thygesen, K. et al. Fourth universal definition of myocardial infarction. Eur. Heart J. 40, 237–269 (2018).

    Article  Google Scholar 

  10. Sandoval, Y. et al. High-sensitivity cardiac troponin and the 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR guidelines for the evaluation and diagnosis of acute chest pain. Circulation 146, 569–581 (2022).

    Article  CAS  PubMed  Google Scholar 

  11. Braunwald, E. & Morrow, D. A. Unstable angina: is it time for a requiem? Circulation 127, 2452–2457 (2013).

    Article  PubMed  Google Scholar 

  12. Eggers, K. M., Jernberg, T. & Lindahl, B. Unstable angina in the era of cardiac troponin assays with improved sensitivity — a clinical dilemma. Am. J. Med. 130, 1423–1430 (2017).

    Article  PubMed  Google Scholar 

  13. Yusuf, S. et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet 364, 937–952 (2004).

    Article  PubMed  Google Scholar 

  14. World Health Organization. Global Action Plan for the Prevention and Control of Noncommunicable Diseases https://apps.who.int/iris/bitstream/handle/10665/94384/?sequence=1 (2013).

  15. Ahmad, O. B. et al. Age Standardization of Rates: A New WHO Standard https://cdn.who.int/media/docs/default-source/gho-documents/global-health-estimates/gpe_discussion_paper_series_paper31_2001_age_standardization_rates.pdf (2001).

  16. Hamdeh, N., van Rompaey, C. & Metreau, E. New World Bank Country Classifications by Income Level: 2021–2022 https://blogs.worldbank.org/opendata/new-world-bank-country-classifications-income-level-2021-2022 (2021).

  17. Habibzadeh, F. Statistical data editing in scientific articles. J. Korean Med. Sci. 32, 1072–1076 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  18. Cleveland, W. S. Robust locally weighted regression and smoothing scatter-plots. J. Am. Stat. Assoc. 74, 829–836 (1979).

    Article  Google Scholar 

  19. Ralapanawa, U. & Sivakanesan, R. Epidemiology and the magnitude of coronary artery disease and acute coronary syndrome: a narrative review. J. Epidemiol. Glob. Health 11, 169–177 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Cao, B. et al. WHO Methods and Data Sources for Country-level Causes of Death 2000–2019 https://cdn.who.int/media/docs/default-source/gho-documents/global-health-estimates/ghe2019_cod_methods.pdf (2020).

  21. Abouzahr, C., Mikkelsen, L., Rampatige, R. & Lopez, A. Mortality statistics: a tool to enchance understanding and improve quality. Pac. Health Dialog. 18, 247–270 (2012).

    PubMed  Google Scholar 

  22. Bhalla, K., Harrison, J. E., Shahraz, S. & Fingerhut, L. A. Availability and quality of cause-of-death data for estimating the global burden of injuries. Bull. World Health Organ. 88, 831–838C (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  23. Yeh, S. T., Ng, Y. Y. & Wu, S. C. Hospital and patient characteristics regarding the place of death of hospitalized impending death patients: a multilevel analysis. Int. J. Environ. Res. Public Health 16, 4609 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  24. Cárdenas-Turanzas, M., Torres-Vigil, I., Tovalín-Ahumada, H. & Nates, J. L. Hospital versus home death: results from the Mexican Health and Aging Study. J. Pain. Symptom Manag. 41, 880–892 (2011).

    Article  Google Scholar 

  25. Iburg, K. M., Mikkelsen, L., Adair, T. & Lopez, A. D. Are cause of death data fit for purpose? Evidence from 20 countries at different levels of socio-economic development. PLoS One 15, e0237539 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Mikkelsen, L. et al. A global assessment of civil registration and vital statistics systems: monitoring data quality and progress. Lancet 386, 1395–1406 (2015).

    Article  PubMed  Google Scholar 

  27. Tsao, C. W. et al. Heart disease and stroke statistics — 2023 update: a report from the American Heart Association. Circulation 147, e93–e621 (2023).

    Article  PubMed  Google Scholar 

  28. Timmis, A. et al. European Society of Cardiology: cardiovascular disease statistics 2021. Eur. Heart J. 43, 716–799 (2022).

    Article  PubMed  Google Scholar 

  29. Gouda, H. N. et al. Burden of non-communicable diseases in sub-Saharan Africa, 1990-2017: results from the Global Burden of Disease Study 2017. Lancet Glob. Health 7, e1375–e1387 (2019).

    Article  PubMed  Google Scholar 

  30. Statista. Distribution of the Leading Causes of Death in Africa in 2019 https://www.statista.com/statistics/1029337/top-causes-of-death-africa/ (2023).

  31. Nichols, M., Townsend, N., Scarborough, P. & Rayner, M. Trends in age-specific coronary heart disease mortality in the European Union over three decades: 1980-2009. Eur. Heart J. 34, 3017–3027 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  32. Shah, R. et al. Trends in sex-specific cerebrovascular disease mortality in Europe based on WHO mortality data. Eur. Heart J. 40, 755–764 (2019).

    Article  PubMed  Google Scholar 

  33. Kopp, W. How western diet and lifestyle drive the pandemic of obesity and civilization diseases. Diabetes Metab. Syndr. Obes. 12, 2221–2236 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Smolina, K. et al. Determinants of the decline in mortality from acute myocardial infarction in England between 2002 and 2010: linked national database study. Br. Med. J. 344, d8059 (2012).

    Article  Google Scholar 

  35. O’Flaherty, M., Buchan, I. & Capewell, S. Contributions of treatment and lifestyle to declining CVD mortality: why have CVD mortality rates declined so much since the 1960s? Heart 99, 159–162 (2013).

    Article  PubMed  Google Scholar 

  36. Dai, H. et al. Global, regional, and national burden of ischaemic heart disease and its attributable risk factors, 1990-2017: results from the Global Burden of Disease Study 2017. Eur. Heart J. Qual. Care Clin. Outcomes 8, 50–60 (2022).

    Article  PubMed  Google Scholar 

  37. Mackay, D. F., Irfan, M. O., Haw, S. & Pell, J. P. Meta-analysis of the effect of comprehensive smoke-free legislation on acute coronary events. Heart 96, 1525–1530 (2010).

    Article  CAS  PubMed  Google Scholar 

  38. World Health Organization. WHO Global Report on Trends in Prevalence of Tobacco Use 2000–2025, Fourth Edition https://www.who.int/publications/i/item/9789240039322 (2021).

  39. Xie, J. et al. Global burden of type 2 diabetes in adolescents and young adults, 1990-2019: systematic analysis of the Global Burden of Disease Study 2019. Br. Med. J. 379, e072385 (2022).

    Article  Google Scholar 

  40. World Health Organization. Global Action Plan for the Prevention and Control of NCDs 2013–2020 https://www.who.int/publications/i/item/9789241506236 (2013).

  41. Mensah, G. A. Ischaemic heart disease in Africa. Heart 94, 836–843 (2008).

    Article  CAS  PubMed  Google Scholar 

  42. Fuster, V. & Kelly, B. B. Institute of Medicine (US) Committee on Preventing the Global Epidemic of Cardiovascular Disease: Meeting the Challenges in Developing Countries. Promoting Cardiovascular Health in the Developing World: A Critical Challenge to Achieve Global Health (National Academies Press, 2010).

  43. Uthman, O. A. et al. Multiple risk factor interventions for primary prevention of cardiovascular disease in low- and middle-income countries. Cochrane Database Syst. Rev. 8, CD011163 (2015).

    Google Scholar 

  44. Park, J. & Oremus, M. Review of cardiovascular disease primary prevention interventions in low- and middle-income countries [abstract]. J. Epidemiol. Commun. Health 69, A003 (2015).

    Article  Google Scholar 

  45. Aminde, L. N. et al. Primary and secondary prevention interventions for cardiovascular disease in low-income and middle-income countries: a systematic review of economic evaluations. Cost. Eff. Resour. Alloc. 16, 22 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  46. Oliver, K. A. et al. Identifying public health policymakers’ sources of information: comparing survey and network analyses. Eur. J. Public Health 27, 118–123 (2017).

    PubMed  Google Scholar 

  47. Townsend, N. et al. Epidemiology of cardiovascular disease in Europe. Nat. Rev. Cardiol. 19, 133–143 (2022).

    Article  PubMed  Google Scholar 

  48. Finegold, J. A., Asaria, P. & Francis, D. P. Mortality from ischaemic heart disease by country, region, and age: statistics from World Health Organisation and United Nations. Int. J. Cardiol. 168, 934–945 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  49. Khan, M. A. et al. Global epidemiology of ischemic heart disease: results from the Global Burden of Disease Study. Cureus 12, e9349 (2020).

    PubMed  PubMed Central  Google Scholar 

  50. Safiri, S. et al. Burden of ischemic heart disease and its attributable risk factors in 204 countries and territories, 1990-2019. Eur. J. Prev. Cardiol. 29, 420–431 (2022).

    Article  PubMed  Google Scholar 

  51. Crea, F. & Liuzzo, G. Pathogenesis of acute coronary syndromes. J. Am. Coll. Cardiol. 61, 1–11 (2013).

    Article  CAS  PubMed  Google Scholar 

  52. Tamis-Holland, J. E. et al. Contemporary diagnosis and management of patients with myocardial infarction in the absence of obstructive coronary artery disease: a scientific statement from the American Heart Association. Circulation 139, 891–908 (2019).

    Article  Google Scholar 

  53. Khan, A. et al. Myocardial Infarction with non-obstructive coronary arteries: an updated overview of pathophysiology, diagnosis, and management. Cureus 14, e23602 (2022).

    PubMed  PubMed Central  Google Scholar 

  54. British Heart Foundation. UK Factsheet April 2023 https://www.bhf.org.uk/-/media/files/for-professionals/research/heart-statistics/bhf-cvd-statistics-uk-factsheet.pdf (2023).

  55. Public Health England. Cardiovascular Disease Profiles: May 2020 Update https://www.gov.uk/government/statistics/cardiovascular-disease-profiles-may-2020-update (2020).

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All the authors researched data for the article. A.T., D.K., N.T., R.H. and P.V. contributed substantially to discussion of the content. A.T., N.T. and P.V. wrote the article. All the authors reviewed and/or edited the manuscript before submission.

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Correspondence to Adam Timmis.

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Institute for Health Metrics and Evaluation: https://www.healthdata.org/results/gbd_summaries/2019/ischaemic-heart-disease-level-3-cause

R Statistical Software: https://www.r-project.org

The World Bank. The World by Income and Region: https://datatopics.worldbank.org/world-development-indicators/the-world-by-income-and-region.html

UN grouping of countries by geographical regions: https://population.un.org/wpp/Download/Documentation/Documentation/

UN World Population Prospects: https://population.un.org/wpp/

WHO Global Health Observatory: https://www.who.int/data/gho/indicator-metadata-registry/imr-details/3411

WHO International Classification of Diseases: https://www.who.int/standards/classifications/classification-of-diseases

WHO Mortality Database: https://www.who.int/data/data-collection-tools/who-mortality-database

WHO World Standard Population (2000–2025): https://seer.cancer.gov/stdpopulations/world.who.html

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Timmis, A., Kazakiewicz, D., Townsend, N. et al. Global epidemiology of acute coronary syndromes. Nat Rev Cardiol 20, 778–788 (2023). https://doi.org/10.1038/s41569-023-00884-0

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