Clinical, tomographic, epidemiologic, and laboratorial factors associated with mortality in patients hospitalized for COVID-19 at a private hospital in Florianopolis: A retrospective cohort
DOI:
https://doi.org/10.33448/rsd-v13i7.46202Keywords:
COVID-19; Risk factors; Mortality; Tomography; Intensive Care Unit; Chronic diseases.Abstract
Objective: To identify epidemiological, tomographic, clinical and laboratory risk factors that predict mortality in patients hospitalized for COVID-19 in a private hospital in Florianópolis. Descriptors: COVID-19. Risk factors. Intensive care unit. Mortality. Methods: This is a Retrospective Cohort study. It was carried out based on patients treated for COVID-19, at Baía Sul hospital, from March to December 2020 Results: In total, 332 patients were included in the study; of these 223 (67%) were male. The mean age was 62 ± 5.32 years. There were 198 (59%) ICU admissions and 61 (18%) deaths in the population. The most prevalent tomographic pattern was ground glass with lower predominance and involvement of less than 50% of the lung. Among the previous comorbidities presented, cardiovascular disease stood out as a predictor of mortality (RR 5.308; 95% CI; 2.9-9.6). Higher levels of DDimer and Creatinine were observed in the population that died p<0.05. Conclusion: Advanced age, high levels of Creatinine and D-Dimer, and the presence of previous comorbidities, especially CVD, were the main risk factors for mortality identified.
References
Barreto, M. L. et al. (2020). O que é urgente e necessário para subsidiar as Políticas de Enfrentamento da Pandemia de Covid-19 no Brasil? Revista Brasileira de Epidemiologia, 23. https://doi.org/10.1590/1980-549720200032
Chiappetta, S., Sharma, A. M., Bottino, V., & Stier, C. (2020). Covid-19 and the role of chronic inflammation in patients with obesity. International Journal of Obesity, 44(8), 1790–1792. https://doi.org/10.1038/s41366-020-0597-4
CHINA CDC (2020). The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team. (2020, February 1). The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) - china, 2020. China CDC Weekly. https://weekly.chinacdc.cn/en/article/id/e53946e2-c6c4-41e9-9a9b-fea8db1a8f51
Covid-19 map. (2023). Johns Hopkins. https://coronavirus.jhu.edu/map.html.
Estrela, C. (2018). Metodologia Científica: Ciência, Ensino, Pesquisa. Editora Artes Médicas. Artes Médicas.
Fauci, A. S. et al. (2020). Covid-19 — navigating the uncharted. New England Journal of Medicine, 382(13), 1268–1269. https://doi.org/10.1056/nejme2002387
Fu, F., Lou, J., Xi, D., Bai, Y., Ma, G., Zhao, B., Liu, D., Bao, G., Lei, Z., & Wang, M. (2020). Chest computed tomography findings of coronavirus disease 2019 (covid-19) pneumonia. European Radiology, 30(10), 5489–5498. https://doi.org/10.1007/s00330-020-06920-8
Han, R. et al. (2020). Early clinical and CT manifestations of coronavirus disease 2019 (covid-19) pneumonia. American Journal of Roentgenology, 215(2), 338–343. https://doi.org/10.2214/ajr.20.22961
Kang, S.-J., & Jung, S. I. (2020). Age-related morbidity and mortality among patients with COVID-19. Infection & Chemotherapy, 52(2), 154. https://doi.org/10.3947/ic.2020.52.2.154
Karagiannidis, C. et al. (2020). Case characteristics, resource use, and outcomes of 10 021 patients with covid-19 admitted to 920 German hospitals: An observational study. The Lancet Respiratory Medicine, 8(9), 853–862. https://doi.org/10.1016/s2213-2600(20)30316-7
Koo, H. J. et al. (2020). radiographics update: Radiographic and CT features of viral pneumonia. RadioGraphics, 40(4). https://doi.org/10.1148/rg.2020200097
Leonardi, A., Scipione, R., Alfieri, G., Petrillo, R., Dolciami, M., Ciccarelli, F., Perotti, S., Cartocci, G., Scala, A., Imperiale, C., Iafrate, F., Francone, M., Catalano, C., & Ricci, P. (2020). Role of computed tomography in predicting critical disease in patients with covid-19 pneumonia: A retrospective study using a semiautomatic quantitative method. European Journal of Radiology, 130, 109202. https://doi.org/10.1016/j.ejrad.2020.109202
Liu, Y. et al. (2020). The reproductive number of COVID-19 is higher compared to SARS coronavirus. Journal of Travel Medicine, 27(2). https://doi.org/10.1093/jtm/taaa021
Pascarella, G. et al. (2020). Covid-19 diagnosis and management: A comprehensive review. Journal of internal medicine. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267177/
Petersen, A., Bressem, K., Albrecht, J., Thieß, H.-M., Vahldiek, J., Hamm, B., Makowski, M. R., Niehues, A., Niehues, S. M., & Adams, L. C. (2020). The role of visceral adiposity in the severity of COVID-19: Highlights from a Unicenter cross-sectional pilot study in Germany. Metabolism, 110, 154317. https://doi.org/10.1016/j.metabol.2020.154317
Phua, J. et al. (2020). Intensive Care Management of Coronavirus Disease 2019 (covid-19): Challenges and recommendations. The Lancet Respiratory Medicine, 8(5), 506–517. https://doi.org/10.1016/s2213-2600(20)30161-2
Richardson, S. et al. (2020). Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with covid-19 in the New York City area. JAMA, 323(20), 2052. https://doi.org/10.1001/jama.2020.6775
UTIS Brasileiras. (n.d.-b). http://www.utisbrasileiras.com.br/
Wang, A.-L., Zhong, X., & Hurd, Y. L. (2020). Comorbidity and Sociodemographic Determinants in Covid-19 Mortality in an US Urban Healthcare System. https://doi.org/10.1101/2020.06.11.20128926
Wang, B., Li, R., Lu, Z., & Huang, Y. (2020). Does comorbidity increase the risk of patients with COVID-19: Evidence from meta-analysis. Aging, 12(7), 6049–6057. https://doi.org/10.18632/aging.103000
World Health Organization - (WHO). (2020). Coronavirus disease 2019 (covid-19). (n.d.). https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200311-sitrep-51-covid-19.pdf?sfvrsn=1ba62e57_4
Yang, X., Yu, Y., Xu, J., Shu, H., Xia, J., Liu, H., Wu, Y., Zhang, L., Yu, Z., Fang, M., Yu, T., Wang, Y., Pan, S., Zou, X., Yuan, S., & Shang, Y. (2020). Clinical course and outcomes of critically ill patients with SARS-COV-2 pneumonia in Wuhan, Cina: A single-centered, retrospective, Observational Study. The Lancet Respiratory Medicine, 8(5), 475–481. https://doi.org/10.1016/s2213-2600(20)30079-5h
Yao, Y., Cao, J., Wang, Q., Shi, Q., Liu, K., Luo, Z., Chen, X., Chen, S., Yu, K., Huang, Z., & Hu, B. (2020). D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: A case control study. Journal of Intensive Care, 8(1). https://doi.org/10.1186/s40560-020-00466-z
Zhu, N. et al. (2020). A novel coronavirus from patients with pneumonia in China, 2019. New England Journal of Medicine, 382(8), 727–733. https://doi.org/10.1056/nejmoa2001017
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Felipe Burigo Grumann; Pedro Arthur Eisenreich; Fernanda Donin Costanzo; Julia Koerich Zappelini; Mark Wanderley; Eduardo Berbigier
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.