Trends and Geographical Variation in Mortality from Coronary Disease in Peru

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2022 Sep 6

PMID 36067204

Authors

Diego Chambergo-Michilot

Noe Atamari-Anahui

Pedro Segura-Saldana

Ana Branez-Condorena

Carlos Alva-Diaz

Daniel Espinoza-Alva

Affiliations

Soon will be listed here.

Abstract

Background: Coronary disease (CD) is the main cause of mortality worldwide. Data about trends and geographical variation in CD mortality is available in some American countries. This information varies among countries since CD risk factors frequencies vary.

Objective: To describe the trend and geographical variation of coronary disease (CD) mortality in Peru, 2005-2017.

Methods: Analysis of secondary data of the Peruvian Ministry of Health's registry of deaths. We analyzed CD mortality. We described the absolute and relative frequency of deaths and age-standardized mortality rate (ASMR) by natural regions, departments, age, sex, and year. We also described the change of ASMR between two periods (2005-2010 vs. 2011-2017).

Results: There were 64,721 CD deaths between 2005 and 2017 (4.12% among all deaths). The absolute frequency of CD deaths was 5,665 and 6,565 in 2005 and 2017, respectively. CD mortality was more frequent in men and older adults. The ASMR varied among natural regions, being higher in the Coast (19.61 per 100,000 inhabitants). The change between the two periods revealed that almost all departments reduced their ASMRs, except for Callao, Lambayeque, and Madre de Dios.

Conclusion: CD mortality has increased in Peru. Mortality was higher in men and older adults, and it varied among departments. More political efforts are needed to reduce these trends.

Citing Articles

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All-cause mortality during the COVID-19 pandemic in Peru.

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References

. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018; 392(10159):1736-1788. PMC: 6227606. DOI: 10.1016/S0140-6736(18)32203-7. View

Pagan E, Chatenoud L, Rodriguez T, Bosetti C, Levi F, Malvezzi M . Comparison of Trends in Mortality from Coronary Heart and Cerebrovascular Diseases in North and South America: 1980 to 2013. Am J Cardiol. 2017; 119(6):862-871. DOI: 10.1016/j.amjcard.2016.11.040. View

Carrillo-Larco R, Bernabe-Ortiz A . [Mortality from chronic kidney disease in Peru: national trends 2003-2015]. Rev Peru Med Exp Salud Publica. 2018; 35(3):409-415. DOI: 10.17843/rpmesp.2018.353.3633. View

Guerrero-Diaz D, Hernandez-Vasquez A, Montoya-Rivera W, Rojas-Roque C, Chacon Diaz M, Bendezu-Quispe G . Undiagnosed hypertension in Peru: analysis of associated factors and socioeconomic inequalities, 2019. Heliyon. 2021; 7(7):e07516. PMC: 8282964. DOI: 10.1016/j.heliyon.2021.e07516. View

Naing N . Easy way to learn standardization : direct and indirect methods. Malays J Med Sci. 2012; 7(1):10-5. PMC: 3406211. View

Levy L, Tedstone A . UK Dietary Policy for the Prevention of Cardiovascular Disease. Healthcare (Basel). 2017; 5(1). PMC: 5371915. DOI: 10.3390/healthcare5010009. View

Rosero-Bixby L, Dow W . Surprising SES Gradients in mortality, health, and biomarkers in a Latin American population of adults. J Gerontol B Psychol Sci Soc Sci. 2009; 64(1):105-17. PMC: 2654981. DOI: 10.1093/geronb/gbn004. View

Alae-Carew C, Scheelbeek P, Carrillo-Larco R, Bernabe-Ortiz A, Checkley W, Miranda J . Analysis of dietary patterns and cross-sectional and longitudinal associations with hypertension, high BMI and type 2 diabetes in Peru. Public Health Nutr. 2019; 23(6):1009-1019. PMC: 7613217. DOI: 10.1017/S1368980019002313. View

Sepanlou S, Newson R, Poustchi H, Malekzadeh M, Rezanejad Asl P, Etemadi A . Cardiovascular disease mortality and years of life lost attributable to non-optimal systolic blood pressure and hypertension in northeastern Iran. Arch Iran Med. 2015; 18(3):144-52. PMC: 5784772. DOI: 0151803/AIM.003. View

10.

Joensen A, Joergensen T, Lundbye-Christensen S, Johansen M, Guzman-Castillo M, Bandosz P . Explaining trends in coronary heart disease mortality in different socioeconomic groups in Denmark 1991-2007 using the IMPACTSEC model. PLoS One. 2018; 13(4):e0194793. PMC: 5909604. DOI: 10.1371/journal.pone.0194793. View

11.

Bernabe-Ortiz A, Carrillo-Larco R, Gilman R, Checkley W, Smeeth L, Miranda J . Impact of urbanisation and altitude on the incidence of, and risk factors for, hypertension. Heart. 2017; 103(11):827-833. PMC: 5529980. DOI: 10.1136/heartjnl-2016-310347. View

12.

Woolcott O, Gutierrez C, Castillo O, Elashoff R, Stefanovski D, Bergman R . Inverse association between altitude and obesity: A prevalence study among andean and low-altitude adult individuals of Peru. Obesity (Silver Spring). 2016; 24(4):929-37. PMC: 4814295. DOI: 10.1002/oby.21401. View

13.

Bhatnagar P, Wickramasinghe K, Wilkins E, Townsend N . Trends in the epidemiology of cardiovascular disease in the UK. Heart. 2016; 102(24):1945-1952. PMC: 5256396. DOI: 10.1136/heartjnl-2016-309573. View

14.

Mendoza W, Miranda J . Global Shifts in Cardiovascular Disease, the Epidemiologic Transition, and Other Contributing Factors: Toward a New Practice of Global Health Cardiology. Cardiol Clin. 2016; 35(1):1-12. PMC: 5134924. DOI: 10.1016/j.ccl.2016.08.004. View

15.

Hernandez-Hernandez R, Silva H, Velasco M, Pellegrini F, Macchia A, Escobedo J . Hypertension in seven Latin American cities: the Cardiovascular Risk Factor Multiple Evaluation in Latin America (CARMELA) study. J Hypertens. 2009; 28(1):24-34. DOI: 10.1097/HJH.0b013e328332c353. View

16.

Cuzick J . A Wilcoxon-type test for trend. Stat Med. 1985; 4(1):87-90. DOI: 10.1002/sim.4780040112. View

17.

Champagne B, Sebrie E, Schargrodsky H, Pramparo P, Boissonnet C, Wilson E . Tobacco smoking in seven Latin American cities: the CARMELA study. Tob Control. 2010; 19(6):457-62. PMC: 2991061. DOI: 10.1136/tc.2009.031666. View

18.

Atamari-Anahui N, Ccorahua-Rios M, Taype-Rondan A, Mejia C . [Mortality attributable to diabetes mellitus as recorded by the Ministry of Health of Peru, 2005-2014Mortalidade atribuída à diabetes mellitus nos registros do Ministério da Saúde do Peru, 2005-2014]. Rev Panam Salud Publica. 2019; 42:e50. PMC: 6385637. DOI: 10.26633/RPSP.2018.50. View

19.

. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018; 392(10159):1789-1858. PMC: 6227754. DOI: 10.1016/S0140-6736(18)32279-7. View

20.

. The changing patterns of cardiovascular diseases and their risk factors in the states of India: the Global Burden of Disease Study 1990-2016. Lancet Glob Health. 2018; 6(12):e1339-e1351. PMC: 6227386. DOI: 10.1016/S2214-109X(18)30407-8. View