COVID-19 in Northeast Brazil: preliminary characteristics of deaths
DOI:
https://doi.org/10.33448/rsd-v9i11.10166Keywords:
Coronavirus; Coronavirus infections; Brazil; Epidemiology descriptive; Health services research.Abstract
Objective: to describe the characteristics of deaths in the Northeast region of Brazil. Methods: a descriptive study based on epidemiological bulletins released by the health departments of each state in the Northeast on the cases of COVID-19, until July 20, 2020, the mortality rate was calculated, a set of deaths aged over 60 years , sex and presence or not of comorbidity, in addition to an individual analysis by state of the most common associated diseases. Results: Ceará was the state with the most cases and deaths, and Piauí the least number of cases and deaths, the region's mortality rate is 3.6%. Most deaths in the region were composed of men with more 60 years old, with some associated comorbidity, mainly cardiovascular diseases, followed by diabetes mellitus. Conclusion: the features show similarities in comparison with the seen preliminary results in other locations around the world.
References
Allam, M., Cai, S., Ganesh, S., Venkatesan, M., Doodhwala, S., Song, Z., et al. COVID-19 Diagnostics, Tools, and Prevention. Diagnostics (Basel). 10 (6): 409. doi: 10.3390/diagnostics10060409
Ayalon, L., Chasteen, A., Diehl, M., Levy, B., Neupert, S. D., Rothermund, K., et al. Aging in times of the COVID-19 pandemic: Avoiding ageism and fostering intergenerational solidarity. J Gerontol B Psychol Sci Soc Sci. 2020 Apr; gbaa051. doi: 10.1093/geronb/gbaa051
Barros, G. M., Mazullo Filho, J. B. R., Mendes Júnior, A. C. Considerações sobre a relação entre a hipertensão e o prognóstico da COVID-19. J. Health Biol. Sci. 2020; 8(1), 1-3. .doi: 10.12662/2317-3076jhbs.v8i1.3250.p1-3.2020
Brasil. Ministério da Saúde. Painel Coronavírus. [Internet]. 2020. Secretaria de Vigilância em Saúde (SVS): Guia de Epidemiológica. Secretarias Estaduais e Municipais de Saúde. 2020 https://covid.saude.gov.br/
Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Vigilância de Doenças e Agravos não Transmissíveis e Promoção da Saúde. Vigitel Brasil 2014 : vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico / Ministério da Saúde, Secretaria de Vigilância em Saúde, Departamento de Vigilância de Doenças e Agravos não Transmissíveis e Promoção da Saúde. – Brasília: Ministério da Saúde, 2015. http://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2014.pdf
Cheng, Y., Luo, R., Wang, K., Zhang, M., Wang, Z., Dong, L., et al. Kidney disease is associated with in-hospital death of patients with COVID-19. Kidney Int. 2020 may; 97 (5): 829-838. doi: 10.1016/j.kint.2020.03.005
Driggin, E., Madhavan, M. V., Bikdeli, B., Chuich, T., Laracy, J., Biondi-Zoccai, G., et al. Cardiovascular considerations for patients, health care workers, and health systems during the COVID-19 pandemic. J Am Coll Cardiol. 2020 May; 75 (18): 2352-2371. doi: 10.1016/j.jacc.2020.03.031
Emami, A., Javanmardi, F., Pirbonyeh, N., Akbari, A. Prevalence of underlying diseases in hospitalized patients with COVID-19: a systematic review and meta-analysis. Arch Acad Emerg Med. 2020; 8 (1) e35. doi: 10.22037/aaem.v8i1.600
Guzik, T. J., Mohiddin, S. A., Dimarco, A., Patel, V., Savvatis, K., Marelli-Berg, F. M., Nicklin, S. A. COVID-19 and the cardiovascular system: implications for risk assessment, diagnosis, and treatment options. Cardiovasc Res. 2020 Aug; 116 (10): 1666-1687. doi: 10.1093/cvr/cvaa106
Heo, J. Y., Song, J. Y., Noh, J. Y., Choi, M. J., Yoon, J. G., Lee, S. N., et al. Effects of influenza immunization on pneumonia in the elderly. Hum Vaccin Immunother. (3): 744-749. doi: 10.1080/21645515.2017.1405200
Iba, T., Levy, J. H., Levi, M., Thachil, J. Coagulopathy in COVID-19. J Thromb Haemost. 2020 Jun. doi: 10.1111/jth.14975.
Ji, D., et al. Prediction for progression risk in patients with COVID-19 pneumonia: the CALL Score. Clin Infect Dis. 2020 Apr. doi: 10.1093/cid/ciaa414
Jordan, R. E., Adab, P., Cheng, K. K. Covid-19: risk factors for severe disease and death. BMJ. 368:m1198. doi: 10.1136/bmj.m1198.
Liu, K., Chen, Y., Lin, R., Han, K. Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients. J Infect. 80 (6): e14–e18. doi: 10.1016/j.jinf.2020.03.005
Niu, S., et al. Clinical characteristics of older patients infected with COVID-19: A descriptive study. Arch Gerontol Geriatr. 2020 jul-aug; 89: 104058. doi: 10.1016 / j.archger.2020.104058
Odegaard, J. I., Chawla, A. Connecting type 1 and type 2 diabetes through innate immunity. Cold Spring Harb Perspect Med. 2 (3): a007724. doi: 10.1101/cshperspect.a007724
Parohan, M., et al. Risk factors for mortality in patients with Coronavirus disease 2019 (COVID-19) infection: a systematic review and meta-analysis of observational studies. Aging Male. 1-9. doi: 10.1080/13685538.2020.1774748
Pinky, L., Dobrovolny, H. M. SARS‐CoV‐2 coinfections: Could influenza and the common cold be beneficial? J Med Virol. 2020 May. doi: 10.1002/jmv.26098
Qin, C., et al.. Dysregulation of immune response in patients with COVID-19 in Wuhan, China. Clin Infect Dis. 71 (15): 762-768. doi: 10.1093/cid/ciaa248.
Rubino, S., Kelvin, N., Bermejo-Martin, J. F., Kelvin, D. As COVID-19 cases, deaths and fatality rates surge in Italy, underlying causes require investigation. J Infect, 14 (3): 265-267. doi: 10.3855/jidc.12734
Sattar, N., McInnes, I. B., McMurray, J. J. Obesity a risk factor for severe COVID-19 infection: multiple potential mechanisms. Circulation. 2020 jul; 142 (1): 4-6. doi: 10.1161/CIRCULATIONAHA.120.047659.
Who, World Health Organization. Timeline of WHO’s response to COVID-19. 2020. https://www.who.int/news-room/detail/29-06-2020-covidtimeline
Wilson, N., Kvalsvig, A., Barnard, L. T., Baker, M. G. Case-fatality risk estimates for COVID-19 calculated by using a lag time for fatality. Emerg Infect Dis. 26 (6): 1339–1441. doi: 10.3201/eid2606.200320
Wu, J. Tackle the free radicals damage in COVID-19. Nitric Oxide. 2020 Sep; 102:39-41. doi: 10.1016/j.niox.2020.06.002
Wu, Z, McGoogan, J. M. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. Jama. 2020 feb; 323 (13): 1239-1242. doi: 10.1001 / jama.2020.2648
Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., Zhou, Y. Prevalence of comorbidities in the novel Wuhan coronavirus (COVID-19) infection: a systematic review and meta-analysis. Int J Infect Dis. 94, 91-95. doi: 10.1016/j.ijid.2020.03.017
Ying, J. C., Seng, K. T., Ester, Y. Dissecting the Interaction Between Coronavirus Disease 2019 and Diabetes Mellitus. J Diabetes Investig. doi: 10.1111/jdi.13326
Yu, W. L., Toh, H. S., Liao, C. T., Chang, W. T. A Double-Edged Sword—Cardiovascular Concerns of Potential Anti-COVID-19 Drugs. Cardiovasc Drugs Ther. 1–10. doi: 10.1007/s10557-020-07024-7
Zheng, Z., Peng, F., Xu, B., Zhao, J., Liu, H., Peng, J., et al. Risk factors of critical & mortal COVID-19 cases: A systematic literature review and meta-analysis. J Infect. 81 (2): e16–e25. doi: 10.1016/j.jinf.2020.04.021
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