Influencia de las comorbilidades en la salud de los ancianos ante la pandemia de Covid-19: una revisión integradora

Autores/as

DOI:

https://doi.org/10.33448/rsd-v10i17.24678

Palabras clave:

Ancianos; Comorbilidades; Salud; COVID-19.

Resumen

Objetivo: dilucidar, a través de una revisión integradora, la evidencia científica sobre la influencia de las comorbilidades en la salud de las personas mayores ante la pandemia COVID-19. Métodos: se trata de una revisión integradora de la literatura, realizado en base a los datos BVS a través de los descritores controlados idos, comorbilidad y COVID-19, así como sus traducciones al español e inglés, de acuerdo con los DeCS y Mesh, publicados entre los años 2020 y mayo de 2021. Resultados: Se identificaron un total de 12 comorbilidades asociadas a la infección por COVID-19 en los individuos, en los estudios seleccionados en esta revisión. Siendo las principales constituidas por las enfermedades cardiovasculares, que correspondieron al 72,72%, seguidas de la diabetes (72,72%), la hipertensión (63,63%), la enfermedad renal crónica y la obesidad con el 27,27%, la demencia y la enfermedad pulmonar obstructiva crónica con el 22,72%, el cáncer (18,18%), la enfermedad hepática (9,09%), el asma, las dislipidemias y la depresión con el 4,54%. Consideraciones finales: Se puede concluir que las principales comorbilidades observadas en la salud de los ancianos frente a la pandemia del COVID-19 se asocian a un aumento significativo del riesgo de hospitalización y a una elevada mortalidad en esta población. La verdadera razón por la que las infecciones por SARS-CoV-2 son más graves y mortales en los ancianos aún no está bien dilucidada, pero están surgiendo hipótesis viables que abarcan más que las comorbilidades, incluyendo el repertorio inmunitario, la actividad del inflamasoma y las influencias genéticas y epigenéticas.

Citas

Alser, O., Mokhtari, A., Naar, L., Langeveld, K., Breen, K. A., El Moheb, M., & Kaafarani, H. M. A. (2021). Multisystem outcomes and predictors of mortality in critically ill patients with COVID-19: Demographics and disease acuity matter more than comorbidities or treatment modalities. J Trauma Acute Care Surg, 90(5), 880-890.

Badedi, M., Makrami, A., & Alnami, A. (2021). Co-morbidity and blood group type risk in coronavirus disease 2019 patients: A case-control study. J Infect Public Health, 14(4), 550-554.

Bag Soytas, R., Ünal, D., Arman, P., Suzan, V., Emiroglu Gedik, T., Can, G., & Döventas, A. (2021). Factors affecting mortality in geriatric patients hospitalized with COVID-19. Turk J Med Sci, 51(2), 454-463.

Beyea, S., & Nichll, L. H. (1998). Writing an integrative review. AORN journal, 67(4), 877- 881.

Breland, J. Y., Wong, M. S., Steers, W. N., Yuan, A. H., Haderlein, T. P., & Washington, D. L. (2021). BMI and Risk for Severe COVID-19 Among Veterans Health Administration Patients. Obesity (Silver Spring), 29(5), 825-828.

Castro, M. C., Gurzenda, S., Macário, E. M., & França, G. V. A. (2021). Characteristics, outcomes and risk factors for mortality of 522 167 patients hospitalised with COVID-19 in Brazil: a retrospective cohort study. BMJ Open, 11(5), e049089-e049089.

Chatterjee, A., Wu, G., Primakov, S., Oberije, C., Woodruff, H., Kubben, P., . . . Lambin, P. (2021). Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study. PLoS One, 16(4), e0249920-e0249920.

Cortez, A. C. L., Silva, C. R. L., Silva, R. C. L., & Dantas, E. H. M. (2019). Aspectos gerais sobre a transição demográfica e epidemiológica da população brasileira. Enfermagem Brasil, 18(5), 700-709.

Couderc, A.-L., Correard, F., Nouguerède, E., Berbis, J., Rey, D., Daumas, A., & Villani, P. (2021). Centenarians in nursing homes during the COVID-19 pandemic. Aging (Albany NY), 13(5), 6247-6257.

D' ascanio, M., Innammorato, M., Pasquariello, L., Pizzirusso, D., Guerrieri, G., Castelli, S., . . . Sciacchitano, S. (2021). Age is not the only risk factor in COVID-19: the role of comorbidities and of long staying in residential care homes. BMC Geriatr, 21(1), 63-63.

Hasseli, R., Mueller-Ladner, U., Hoyer, B. F., Krause, A., Lorenz, H.-M., Pfeil, A., . . . Regierer, A. C. (2021). Older age, comorbidity, glucocorticoid use and disease activity are risk factors for COVID-19 hospitalisation in patients with inflammatory rheumatic and musculoskeletal diseases. 7(1).

Hospital Jonh Hopkins, 2021. Home - Johns Hopkins Coronavirus Resource Center (jhu.edu)

Hu, J., & Wang, Y. (2021). The Clinical Characteristics and Risk Factors of Severe COVID-19. Gerontology, 67(3), 255-266.

Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., Liu, M., Xiao, Y., Gao, H., Guo, L., Xie, J., Wang, G., Jiang, R., Gao, Z., Jin, Q., Wang, & J., Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet, 395:497-506.

Hulley, S. B., Cummings, S. R., Browner, W. S., Grady, D. G., Newman, T. B., Duncan, M. S., & Islabão A. G. (2008). Delineando a pesquisa clínica (4a ed). Porto Alegre: Artmed.

Hägg, S., Jylhävä, J., Wang, Y., Xu, H., Metzner, C., Annetorp, M., & Religa, D. (2020). Age, Frailty, and Comorbidity as Prognostic Factors for Short-Term Outcomes in Patients With Coronavirus Disease 2019 in Geriatric Care. J Am Med Dir Assoc, 21(11), 1555-1559.e1552.

Ikari, Y., Matsue, Y., Torii, S., Hasegawa, M., Aihara, K., Kuroda, S., & Matsumoto, S. (2021). Association Between Statin Use Prior to Admission and Lower Coronavirus Disease 2019 (COVID-19) Severity in Patients With Cardiovascular Disease or Risk Factors. Circ J, 85(6), 939-943.

Kim, D. H., Park, H. C., Cho, A., Kim, J., Yun, K.-S., Kim, J., & Lee, Y.-K. (2021). Age-adjusted Charlson comorbidity index score is the best predictor for severe clinical outcome in the hospitalized patients with COVID-19 infection. Medicine (Baltimore), 100(18), e25900-e25900.

Laires, P. A., & Nunes, C. (2020). Population-based Estimates for High Risk of Severe COVID-19 Disease due to Age and Underlying Health Conditions. Acta Med Port, 33(11), 720-725.

Liu, W., Zhang, Q., Chen, J., Xiang, R., Song, H., Shu, S., Chen, L., Liang, L., Zhou, J., You, L., Wu, P., Zhang, B., Lu, Y., Xia, L., Huang, L., Yang, Y, Liu, F., Semple, M. G., Cowling, B. J., Lan, K., Sun, Z., Yu, H., & Liu, Y. (2020). Detection of Covid-19 in Children in Early January 2020 in Wuhan, China. N Engl J Med, 382(14):1370-1371.

Lloyd-Sherlock, P., Ebrahim, S., Geffen, L., & Mckee, M. (2020). Bearing the brunt of covid-19: older people in low and middle income countries. BMJ, 368.

Luo, H., Liu, S., Wang, Y., Phillips-Howard, P. A., Ju, S., Yang, Y., & Wang, D. (2020). Age differences in clinical features and outcomes in patients with COVID-19, Jiangsu, China: a retrospective, multicentre cohort study. BMJ Open, 10(10), e039887-e039887.

Mahieu, R., Léger, M., Dubillot, M., & Demiselle, J. (2021). A 78-Year-Old Woman With Diarrhea and Respiratory Failure. Chest, 159(3), e159-e162.

Mehta, H. B., Li, S., & Goodwin, J. S. (2021). Risk Factors Associated With SARS-CoV-2 Infections, Hospitalization, and Mortality Among US Nursing Home Residents. JAMA Netw Open, 4(3), e216315-e216315.

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Prisma Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoSmed, 6(7), e1000097.

Mueller, A. L., McNamara, M. S., & Sinclair, D. A. (2020). Why does COVID-19 disproportionately affect older people? Aging (Albany NY), 12(10), 9959-9981.

Smithard, D. G., & Haslam, J. (2021). COVID-19 Pandemic Healthcare Resource Allocation, Age and Frailty. New Bioeth, 27(2), 127-132.

Murthy, S., Gomersall, C. D. & Fowler, R. A. (2020). Care for Critically Ill Patients With COVID-19. JAMA, 323(15):1499–1500.

Plataforma Sucupira (2019). Recuperado em 20 de outubro, 2021 de https://sucupira.capes.gov.br

Santos, C. M. D. C., Pimenta, C. A. D. M., & Nobre, M. R. C. (2007). A estratégia PICO para a construção da pergunta de pesquisa e busca de evidências. Revista Latino-Americana de Enfermagem, 15(3), 508-511.

Silva, E. S., Pereira, R. K. A., & Cortez, A. C. L. (2020). Evidências científicas acerca da prevalência de quedas e fatores associados em idosos. Research, Society and Development, 9 (11), e2119119741.

SJR - SCImagoJournal Rank. (2021). Recuperado em 20 de outubro, 2021 de https://www.scimagojr.com/

Tani, G. (2007). Educação física: por uma política de publicação visando à qualidade dos periódicos. Revista Brasileira de Ciências do Esporte, 29(1).

Tessitore, E., Carballo, D., Poncet, A., Perrin, N., Follonier, C., Assouline, B., Mach, F. (2021). Mortality and high risk of major adverse events in patients with COVID-19 and history of cardiovascular disease, 8(1).

Tobolowsky, F. A., Bardossy, A. C., Currie, D. W., Schwartz, N. G., Zacks, R. L. T., Chow, E. J., . . . Rao, A. K. (2021). Signs, Symptoms, and Comorbidities Associated With Onset and Prognosis of COVID-19 in a Nursing Home. J Am Med Dir Assoc, 22(3), 498-503.

Williamson, E.J., Walker, A.J., Bhaskaran, K., Bacon, S., Bates, C., Morton, C. E., Curtis, H. J., Mehrkar, A., Evans, D., Inglesby, P., Cockburn, J., Mcdonald, H. I., MacKenna, B., Tomlinson, L., Douglas, I. J., Rentsch, C. T., Mathur, R., Wong, A. Y. S., Grieve, R., Harrison, D., Forbes, H., Schultze, A., Croker, R., Parry, J., Hester, F., Harper, S., Perera, R.. Evans, S. J. W., Smeeth, L. & Goldacre, B. (2020). Factors associated with COVID-19-related death using OpenSAFELY. Nature, 584:430-436.

World Health Organization (WHO). Novel Coronavirus (2019-nCoV) technical guidance, 2020. Recuperado em 20 de outubro, 2021 de https://www.who.int/emergencies/ diseases/novel-coronavirus-2019.

Yamamoto, N., Yamamoto, R., Ariumi, Y., Mizokami, M., Shimotohno, K., & Yoshikura, H. (2021). Does Genetic Predisposition Contribute to the Exacerbation of COVID-19 Symptoms in Individuals with Comorbidities and Explain the Huge Mortality Disparity between the East and the West? Int. j. mol. sci. (Online), 22(9).

Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., Ji, R., Wang, H., Wang, Y., & Zhou, Y. (2020). Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. Int J Infect Dis. 94:91-95.

Zhang, W. (2020). Manual de Prevenção e Controle da Covid-19 segundo o Doutor Wenhong Zhang. São Paulo: PoloBooks.

Zhu, N, Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., Niu, P., Zhan, F., Ma, X., Wang, D., Xu, W., Wu, G., Gao, G. F., & Tan, W. (2020). A Novel Coronavirus from Patients with Pneumonia in China, 2019. New England Journal of Medicine 382:727-733.

Publicado

24/12/2021

Cómo citar

SOUSA, A. H. da S. .; MARTINS, S. B.; CORTEZ, A. C. L. . Influencia de las comorbilidades en la salud de los ancianos ante la pandemia de Covid-19: una revisión integradora. Research, Society and Development, [S. l.], v. 10, n. 17, p. e199101724678, 2021. DOI: 10.33448/rsd-v10i17.24678. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/24678. Acesso em: 17 jul. 2024.

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