Influência das estações do ano nos perfis de morbidade e mortalidade em uma Unidade de Terapia Intensiva
Palavras-chave:
estações do ano, clima, unidade de terapia intensivaResumo
Introdução: na unidade de terapia intensiva do Hospital Universitário "Dr. Agostinho Neto" a influência das estações do ano sobre o perfil de morbidade e mortalidade ainda não foi esclarecida.
Objetivo: determinar a influência da variabilidade das estações do ano no perfil de morbimortalidade da UTI do Hospital Universitário de General "Dr.Agostinho Neto" durante o ano de 2018.
Método: estudo retrospectivo do número total de pacientes internados (n = 549) e uma amostra aleatória de 365 pacientes foi selecionada. As variáveis estudadas foram: idade, sexo, motivo da internação, índice de gravidade, permanência na unidade, necessidade de ventilação mecânica, estado de descarga. Todos estavam relacionados com a estação do ano.
Resultados: o maior número de pacientes internados no verão (31,8%). Não houve relação significativa entre a estação do ano e a variável sexo (p <0,05), mas com a idade, APACHE II, permanecer na unidade e necessidade de ventilação mecânica (p <0,05). Na primavera e no verão, a doença mais comum era a cerebrovascular, enquanto no outono e no inverno a mais comum era pneumonia grave adquirida na comunidade. As variáveis permaneceram na unidade, a entrada do paciente para doenças de natureza clínica de acordo com o tipo de paciente clínico e a mortalidade foram significativamente relacionadas com o clima (p <0,05).
Conclusões: a variabilidade climática do contexto de Guantánamo influenciou o perfil de morbidade da unidade de terapia intensiva e mediu o prognóstico de pacientes internados com doença crítica.
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Referências
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2. Suleyman Serdar TS, Kavalci C, Emre KA. Relationship of meteorological and air pollution parameters with pneumonia in elderly patients. Emergency Medicine International [Internet], 2018, [cited 2019 Jun 10]; article ID 4183203: [aprox 9 pp.]. Available from: http://doi.org/10.1155/2018/4183203
3. Cuba, Instituto de Meteorología. Resumen meteorológico, 2018. [Internet]; 2019, [citado 2019 abril]; [12 aprox. 12 pp.]. Disponible en: http://www.insmet.cu/index.asp
4. Sahuquillo Arce JM, Ibáñez Martínez E, Hernández-Cabezas A. Influence of environmental conditions and pollution on the incidence of Streptococcus pneumoniae infections. ERJ Open Res [Internet], 2017, [cited 2019 Jun 10]; 3: 00014-2017. Available from: https://doi.org/10.1183/23120541.00014-2017
5. Mirsaeidi M, Motahari H, Taghizadeh KM, Sharifi A, Campos M, Schraufnagel DE. Climate Change and Respiratory Infections. Ann Am Thorac Soc [Internet], 2016, Aug [cited 2019 Jun 10]; 13(8): 1223–1230. Available from: http://dx.doi.org/10.1513/AnnalsATS.201511-729PS
6. Zhang J, Zhou L, Fang Q, Zhang J, Zhang Y. The impact of temperature extremes on mortality: a time-series study in Jinan, China. BMJ Open [Internet], 2017, Aug [cited 2019 Jun 10]; 7:e014741. Available from: http://dx.doi.org/10.1136/bmjopen- 2016- 014741
7. Li Y, Peterson ME, Campbell H, Li HN, Peterson ME, Campbell H, et al. Association of seasonal viral acute respiratory infection with pneumococcal disease: a systematic review of population based studies. BMJ Open [Internet], 2018, Aug [cited 2019 Jun 10]; 8:e019743. Available from: http://dx.doi.org/doi:10.1136/bmjopen-2017-019743
8. Ciruela P, Broner S, Izquierdo C, et al. Invasive pneumococcal disease rates linked to meteorological factors and respiratory virus circulation (Catalonia, 2006-2012). BMC Public Health [Internet], 2016, Aug [cited 2019 Jun 10]; 16:400. Available from: http://dx.doi.org/10.1186/s12889-016-3061-6
9. Duarte Passos S, Gazeta RE, Felgueiras AP, Costa Beneli P, Coelho M. Do pollution and climate influence respiratory tract infections in children? Rev Assoc Med Bras [Internet], 2014, [cited 2019 Jun 10]; 60(3):276-283. Available from: http://dx.doi.org/10.1590/1806-9282.60.03.018
10. Zhang J, Liu S, Han J, et al. Impact of heat waves on nonaccidental deaths in Jinan, China, and associated risk factors. Int J Biometeorol [Internet], 2016, [cited 2019 Jun 10]; 60:1367–75. Available from: http://dx.doi.org/10.1007/s00484-015-1130-7
11. Ryti NR, Guo Y, Jaakkola JJ. Global association of cold spells and adverse health effects: a systematic review and meta-analysis. Environ Health Perspect [Internet], 2016, [cited 2019 Jun 10]; 124:12–22. Available from: http://dx.doi.org/10.1289/ehp.1408104
12. Susana HLS, Fernández FE, Cervera JA, Blanquer OR. ¿Influyen la estación y el clima en la etiología de la neumonía adquirida en la comunidad? Arch Bronconeumol [Internet]; 2019, [citado 2019 Jun 6]; 49(4):140–145. Disponible en: http://www.dx.doi.org/10.1016/j.arbres. 2012.11.001
13. Santana CL, Sánchez PM, Hernández ME, Eugenio RP, Villanueva HE. Características y pronóstico de los pacientes mayores con estancia muy prolongada en una unidad de cuidados intensivos. Med Intensiva. [Internet]; 201, [citado 2019 Jun 6]; 32:157–62. Disponible en: http://www.medintensiva.org/es-pdf-S0210569109000540
14. Huang C, Chu C, Wang X, et al. Unusually cold and dry winters increase mortality in Australia. Environ Res [Internet], 2015, [cited 2019 Jun 10]; 136:1–7. Available from: http://dx.doi.org/10.1016/j.envres.2014.08.046
15. de' Donato FK, Leone M, Scortichini M, et al. Changes in the effect of heat on mortality in the last 20 years in nine European cities. Results from the PHASE project. Int J Environ Res Public Health [Internet], 2015, [cited 2019 Jun 10]; 12:15567–83. Available from: http://dx.doi.org/10.3390/ijerph121215006
16. Lashari NM, Tanveer Alam M, Shahzeb KM, Imran BF, Qayoom M, Soomro K. Variation in admission rates of Acute Coronary Syndrome patients in coronary care unit according to different seasons. J Coll Physicians and Surgeons Pakistan [Internet], 2015, [cited 2019 Jun 10]; 25 (2): 91-94. Available from: https://pdfs.semanticscholar.org/704e/7ae0b10fd3d 982806c30efdda8313e19000e.pdf
17. Suárez De La Rica A, Gilsanz F, Maseda E. Epidemiologic trends of sepsis in western countries. Ann Transl Med [Internet], 2016, [cited 2019 Jun 10]; 4(17):325. Available from: http://dx.doi.org/doi: 10.21037/atm.2016.08.59
18. Gasparrini A, Guo Y, Hashizume M, et al. Mortality risk attributable to high and low ambient temperature: a multicountry observational study. Lancet [Internet], 2015, [cited 2019 Jun 10]; 386:369–75. Available from: http://dx.doi.org/10.1016/S0140-6736(14)62114-0
19. Burgos J, Larrosa MN, Martinez A, et al. Impact of influenza season and environmental factors on the clinical presentation and outcome of invasive pneumococcal disease. Eur J Clin Microbiol Infect Dis [Internet], 2015, Aug [cited 2019 Jun 10]; 34:177–86. Available from: http://dx.doi.org/10.1007/s10096-014-2221-9
20. Liddell C, Morris C, Thomson H, et al. Excess winter deaths in 30 European countries 1980–2013: a critical review of methods. J Public Health [Internet], 2015, [cited 2019 Jun 10]; fdv184. Available from: http://dx.doi.org/10.1093/pubmed/fdv184
21. Williams NP, Coombs NA, Matthew JJA, Josephs LK, Rigge LA, Staples KJ, et al. Seasonality, risk factors and burden of community-acquired pneumonia in COPD patients: a population database study using linked health care records [Internet], 2015, [cited 2019 Jun 10]; 12: 313-322. Available from: http://doi.org/10.2147/COPD.S121389.
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Publicado
2019-07-23
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Elias Sierra R, Elias Armas KS, Lecourtois Mendoza L, Fong Berguelich Y del P, Columbié Martínez R. Influência das estações do ano nos perfis de morbidade e mortalidade em uma Unidade de Terapia Intensiva. Rev Inf Cient [Internet]. 23º de julho de 2019 [citado 4º de setembro de 2025];98(3):344-5. Disponível em: https://revinfcientifica.sld.cu/index.php/ric/article/view/2388
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