Predictive factors of mortality due to atherosclerotic heart disease in elderly
Keywords:
elderly, cardiovascular disease, atherosclerosis, predictive factors, mortality.Abstract
Introduction: Cardiovascular diseases constitute the first death cause in Cuba and the world.
Objective: To identify the predictive factors of deaths due to atherosclerotic cardiovascular disease in elderly people.
Methods: An analytic case-control type study was carried out that included 237 dead patients due to atherosclerotic heart disease (cases) and 711 living elderly (control), belonging to 3 health areas of Santiago de Cuba municipality, from January to December, 2021.
Results: The predictive factors that were part of the model were nicotine addiction, not very healthy diet, physical inactivity, diabetes mellitus, chronic renal disease, fragility, cognitive deterioration and multimorbidity.
Conclusions: The traditional risk factors selected in this study, combined with other potential conditions, improved the prediction of mortality due to heart disease in elderly and facilitated the orientation of preventive interventions in this population group.
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References
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2. Paramio Rodríguez A, Aguilera García LL, Carrazana Garcés E, Hernández Navas M. Riesgo cardiovascular global en tres casas de abuelos del municipio Boyeros. Rev Cuban Med Gen Integr. 2021 [citado 20/02/2022];37(4). Disponible en: https://revmgi.sld.cu/index.php/mgi/article/view/1417/503
3. Suárez Moreno FO. Factores sociodemográficos y económicos asociados a mortalidad por causa cardiovascular en los países de América del Sur. [tesis]. Trujillo: Universidad Cesar Vallejo; 2022 [citado 18/07/2022]. Disponible en: https://repositorio.ucv.edu.pe/bitstream/handle/20.500.12692/87568/Su%c3%a1rez_MFO-SD.pdf?sequence=1&isAllowed=y
4. Cuba. Ministerio de Salud Pública; Dirección Nacional de Registros Médicos y Estadísticas de Salud. Anuario Estadístico de Salud, 2021. La Habana: MINSAP; 2022 [citado 26/02/2022]. Disponible en: https://files.sld.cu/dne/files/2022/10/Anuario-Estadistico-de-Salud-2021.-Ed-2022.pdf
5. Benetos A, Petrovic M, Strandberg T. Hypertension management in older and frail older patients. Circ Res. 2019 [citado 22/09/2022];124(7): 1045-60. Disponible en: https://www.ahajournals.org/doi/full/10.1161/CIRCRESAHA.118.313236?rfr_dat=cr_pub++0pubmed&url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org
6. Benetos A, Bulpitt CJ, Petrovic M, Ungar A, Rosei EA, Cherubini A, et al. An expert opinion from the European society of hypertension-European Union Geriatric Medicine Society Working Group on the Management of Hypertension in very old, Frail Subjects. Hypertension. 2016 [citado 20/09/2022];67(5):820-5. Disponible en: https://www.ahajournals.org/doi/10.1161/HYPERTENSIONAHA.115.07020?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed
7. Simons LA, Simons J, Friedlander Y, McCallum J, Palaniappan L. Risk functions for prediction of cardiovascular disease in elderly Australians: the Dubbo Study. Med J Aust. 2003 [citado 21/09/2022];178(3):113-6. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3133925/
8. Gabriel R, Muñiz J, Vega S, Moral I, Pérez Castro TR, Rodríguez Salvanés P, et al. Riesgo cardiovascular en la población anciana española. Escala de riesgo EPICARDIAN. Revista Clínica Española. 2021 [citado 24/09/2022];222(1). Disponible en: https://www.researchgate.net/publication/353214375_Riesgo_cardiovascular_en_la_poblacion_anciana_espanola_Escala_de_riesgo_EPICARDIAN
9. Neumann JT, Thao LTP, Callander E, Carr PR, Qaderi V, Nelson MR, et al. A multistate model of health transitions in older people: a secondary analysis of ASPREE clinical trial data. LANCET. 2022 [citado 22/03/2022];3(2):89-97. Disponible en: https://www.thelancet.com/journals/lanhl/article/PIIS2666-7568(21)00308-1/fulltext
10. Bussel EF, Richard E, Busschers WB, Steyerberg EW, Gool WA, Moll van Charante EP, et al. A cardiovascular risk prediction model for older people: Development and validation in a primary care population. J Clin Hypertens (Greenwich). 2019 [citado 30/09/2022];21(8):1145-52. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6772108/
11. Muthiah GA, Mensah JVT, Valentin GA. Summary of methods for studying the global burden of disease. J Am Coll Cardiol. 2022;80(25):2372-425.
12. Núñez E, Steyerberg EW, Núñez J. Estrategias para la elaboración de modelos estadísticos de regresión. Rev Esp Cardiol. 2011 [citado 21/09/2022];64(6):501-7. Disponible en: https://www.sciencedirect.com/science/article/abs/pii/S0300893211003502
13. Mondeja Contino JR, Chávez González E, Puerto Díaz M, Blay Gómez L, Cápiro Ávalos LR. Escala de riesgo y estratificación pronóstica de la cardiopatía isquémica en población adulta. VIII Jornada Conmemorativa de Ciencias Cardioquirúrgicas Dr. Ismael Alejo in memoriam. 2021 [citado 12/02/2022]. Disponible en: https://alejoinmemoriam2021.sld.cu/index.php/alejoinmemoriam/ai2021/paper/viewFile/84/27
14. Cooney MT, Selmer R, Lindman A, Tverdal A, Menotti A, Thomsen T, et al. Cardiovascular risk estimation in older persons: SCORE O.P. Eur J Prev Cardiol. 2016 [citado 26/09/2022];23(10):1093-103. Disponible en: https://academic.oup.com/eurjpc/article/23/10/1093/5927274
15. De Ruijter W, Westendorp R, Assendelft W, et al. Use of Framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study. BMJ. 2009 [citado 25/09/2022];338:a3083. Disponible en: https://www.bmj.com/content/338/bmj.a3083.long
16. Nanna MG, Peterson ED, Wojdyla D, Navar AM. The accuracy of cardiovascular pooled cohort risk estimates in U.S. older adults. J Gen Int Med. 2020 [citado 25/09/2022];35(6):1701-8. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7280419/
17. SCORE2-OP working group and ESC Cardiovascular risk collaboration. SCORE2-OP risk prediction algorithms: estimating incident cardiovascular event risk in older persons in four geographical risk regions. Eur Heart J. 2021 [citado 20/09/2022];42(25):2455-67. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248997
18. Verweij L, Peters RJG, Scholte Op Reimer WJM, Matthijs Boekholdt S, Luben RM, Wareham NJ, et al. Validation of the Systematic COronary Risk Evaluation-Older Persons (SCORE-OP) in the EPIC-Norfolk prospective population study. Int J Cardiol. 2019;293:226-30.
19. Damen JA, Hooft L, Schuit E, Debray TP, Collins G, Tzoulaki I, et al. Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ. 2016 [citado 29/09/2022];353:i2416. Disponible en: https://www.bmj.com/content/353/bmj.i2416
20. Lindstrom M, DeCleene N, Dorsey H, Fuster V, Johnson C, LeGrand K, et al. Tendencias en la salud cardiovascular mundial. 2022 [citado 29/09/2022]. Disponible en: https://www.intramed.net/contenidover.asp?contenidoid=102811
Published
2023-02-07
How to Cite
1.
Hierrezuelo Rojas N, del Rio Caballero G, Hernández Magdariaga A, Bonal Ruiz R. Predictive factors of mortality due to atherosclerotic heart disease in elderly. MEDISAN [Internet]. 2023 Feb. 7 [cited 2025 Jun. 4];27(1):e4390. Available from: https://medisan.sld.cu/index.php/san/article/view/4390
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