Influence of seasons of the year on morbidity and mortality profiles in an Intensive Care Unit
Keywords:
seasons of the year, climate, intensive care unitAbstract
Introduction: in the intensive care unit of the General Teaching Hospital "Dr. Agostinho Neto" the influence of the seasons of the year on the profile of morbidity and mortality has not been clarified.
Objective: to determine the influence of the variability of season of the year on the morbidity and mortality profile of the ICU of the General Teaching Hospital "Dr. Agostinho Neto" during the year 2018.
Method: a retrospective study was made of the total number of admitted patients (n = 549) and a random sample of 365 patients was selected. The variables studied were: age, sex, reason for admission, severity index, stay in the unit, need for mechanical ventilation, discharge status. All were related to the weather.
Results: the largest number of patients admitted during the summer (31.8%). There was no significant relationship between the weather station and the sex variable (p <0.05), but with age, APACHE II, stay in the unit and need for mechanical ventilation (p <0.05). In spring and summer the most common disease was cerebrovascular, while in autumn and winter the most common was community-acquired severe pneumonia. The variables stay in the unit, patient entry for diseases of a clinical nature according to the type of clinical patient and mortality were significantly related to the weather station (p <0.05).
Conclusions: the climatic variability of the Guantanamo context influenced the morbidity profile of the intensive care unit and measured the prognosis of patients admitted with critical illness.
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References
1. Garfield M, Ridley S, Kong A, Burns A, Blunt M, Gunning K. Seasonal variation in admission rates to intensive care units. Anaesthesia [Internet], 2016, [cited 2019 Jun 10];56:1136–40. Available from: http://dx.doi.org/10.1046/j.1365-2044.2001.01984.x
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.
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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Published
2019-07-23
How to Cite
1.
Elias Sierra R, Elias Armas KS, Lecourtois Mendoza L, Fong Berguelich Y del P, Columbié Martínez R. Influence of seasons of the year on morbidity and mortality profiles in an Intensive Care Unit. Rev Inf Cient [Internet]. 2019 Jul. 23 [cited 2025 Sep. 4];98(3):344-5. Available from: https://revinfcientifica.sld.cu/index.php/ric/article/view/2388
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