Biomarkers and clinical outcomes of hospitalized patients with COVID-19

Autores/as

  • Doralice Limeira da Silva Universidade Estadual do Maranhão – UEMA, Programa de Pós-Graduação em Biodiversidade, Ambiente e Saúde -PPGBAS. Caxias, Maranhão, Brasil.
  • Maria Edileuza Soares Moura Universidade Estadual do Maranhão – UEMA, Programa de Pós-Graduação em Biodiversidade, Ambiente e Saúde -PPGBAS. Caxias, Maranhão, Brasil.

DOI:

https://doi.org/10.26694/repis.v8i1.2194

Palabras clave:

Biomarkers, Coronavírus, Hospital Care, Public Health

Resumen

Introduction: This study aims to analyze laboratory biomarkers in patients infected with SARS-CoV-2 in public hospitals in Maranhão and compare the results between those who were discharged and those who did not survive. Outlining: This cross-sectional study evaluated a sample of 192 medical records of patients admitted between July and December 2020. The study assessed variables such as sex, age group, race, comorbidities, length of hospital stay, symptoms, medication classes, and clinical biomarkers related to cardiac, hepatic, renal, and coagulation functions. The data were analyzed using SPSS software (version 20.0). Results: The participants were predominantly male and above the age of 60, and this age group was significantly associated with a higher risk of death. Symptoms such as fever (OR=3.81) and absence of cough (OR=2.31), as well as the use of sedatives (OR=4.47) and vasoactive drugs (OR=20.14), were found to be significantly associated with an increased risk of mortality. When comparing the biomarkers of patients hospitalized in the ICU who were discharged versus those who died, higher mean values were observed for prothrombin time, activated partial thromboplastin time, D-dimer, urea, creatinine, potassium, leukocytes, PCR, and glucose levels among the deceased patients. Conversely, lower mean levels of albumin were observed in those who did not survive. Implications: Therefore, these biomarkers can contribute to the assessment of disease progression and monitoring the health status of patients treated in ICU settings.

Citas

Bezerra VD, Anjos TB, Souza LE, Anjos TB, Vidal AM, Silva Júnior AA. SARS-CoV-2 como agente causador da COVID-19: epidemiologia, características genéticas, manifestações clínicas, diagnóstico e possíveis tratamentos. Braz J Hea Rev [Internet]. 2020 [cited 2021 Jun 28];3(4):8452-67. Disponível em: https://doi.org/10.34119/bjhrv3n4-097

PAHO/WHO | Pan American Health Organization [Internet]. Histórico da pandemia de COVID-19 - OPAS/OMS | Organização Pan-Americana da Saúde; [citado 20 Jun 2021]. Disponível em: https://www.paho.org/pt/covid19/historico-da-pandemia-covid-19

de Albuquerque LP, da Silva RB, de Araújo RMS. COVID-19: origin, pathogenesis, transmission, clinical aspects and current therapeutic strategies. Rev Pre Infec e Saúde [Internet]. 2020 [cited 2021 Jun 28]; 6:10432. Available from: https://revistas.ufpi.br/index.php/nupcis/article/view/10432

Connors JM, Levy JH. COVID-19 and its implications for thrombosis and anticoagulation. Blood [Internet]. 2020 Jun 4 [cited 2021 Ago 5];135(23):2033-40. Available from: https://doi.org/10.1182/blood.2020006000

Shang W, Dong J, Ren Y, Tian M, Li W, Hu J, Li Y. The value of clinical parameters in predicting the severity of COVID‐19. J Med Virol [Internet]. 2020 Jun 2 [cited 2021 Jul 20];92(10):2188-92. Available from: https://doi.org/10.1002/jmv.26031

Aloisio E, Chibireva M, Serafini L, Pasqualetti S, Falvella FS, Dolci A, et al. A comprehensive appraisal of laboratory biochemistry tests as major predictors of COVID-19 severity. Arch Pathol Lab Med [Internet]. 2020 Jul 10 [cited 2021 Jul 20];144(12):1457-64. Available from: https://doi.org/10.5858/arpa.2020-0389-sa

Soeiro Ad, Leal Td, Pereira Md, Lima EG, Figueiredo AC, Petriz JL, et al. Posicionamento sobre uso de antiplaquetários e anticoagulantes nos pacientes infectados pelo novo coronavírus (COVID-19) – 2020. Arq Bras Cardiol. 2020;115(2):292-301. https://doi.org/10.36660/abc.20200424

Lippi G, Plebani M. Laboratory abnormalities in patients with COVID-2019 infection. Clin Chem Lab Med (CCLM) [Internet]. 2020 Jun 25 [cited 2021 Jun 28];58(7):1131-4. Available from: https://doi.org/10.1515/cclm-2020-0198

Instituto Brasileiro de Geografia e Estatística – IBGE. Cidades e Estados. Disponível em: https://www.ibge.gov.br/cidades-e-estados/ma/.html. Acesso:01 de outubro 2021

Haukoos JS. Advanced statistics: bootstrapping confidence intervals for statistics with "difficult" distributions. Academic Emergency Medicine [Internet]. 1 abr 2005 [citado 25 nov 2021];12(4):360-5. Available from: https://doi.org/10.1197/j.aem.2004.11.018

Espirito Santo H, Daniel FB. Calcular e apresentar tamanhos do efeito em trabalhos científicos (1): as limitações do p < 0,05 na análise de diferenças de médias de dois grupos. RPICS [Internet]. 28 fev 2015 [citado 9 dez 2021];1(1):3-16. Disponível em: https://doi.org/10.7342/ismt.rpics.2015.1.1.14

Haitao T, Vermunt JV, Abeykoon J, Ghamrawi R, Gunaratne M, Jayachandran M, et al. COVID-19 and Sex Differences: Mechanisms and Biomarkers. Mayo Clin Proc. 2020 Oct;95(10):2189-2203. doi: 10.1016/j.mayocp.2020.07.024.

Chen T, Wu D, Chen H, Yan W, Yang D, Chen G, et al. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study. BMJ [Internet]. 2020 Mar 26 [cited 2021 Jul 19];368:m1091. Available from: https://doi.org/10.1136/bmj.m1091.

Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA [Internet]. 2020 Mar 17[cited 2021 Jul 19];323(11):1061-1069. Available from: https://doi.org/10.1001/jama.2020.1585.

Cao J, Tu WJ, Cheng W, Yu L, Liu YK, Hu X, et al. Clinical features and short-term outcomes of 102 patients with coronavirus disease 2019 in wuhan, china. Clin Infect Dis [Internet]. 2020 Mar 13 [cited 2021 Jul 19];71(15):748-55. Available from: https://doi.org/10.1093/cid/ciaa243

Bastug A, Bodur H, Erdogan S, Gokcinar D, Kazancioglu S, Kosovali BD, et al. Clinical and laboratory features of COVID-19: predictors of severe prognosis. Int Immunopharmacol [Internet]. 2020 Nov [cited 2021 Jul 20]; 88:106950. Available from: https://doi.org/10.1016/j.intimp.2020.106950

Bisso IC, Huespe I, Lockhart C, Massó A, González Anaya J, Hornos M, et al. Clinical characteristics of critically ill patients with COVID-19. MEDREXIV. 2020. https://doi.org/10.1101/2020.12.09.20246413.

Cheng B, Hu J, Zuo X, Chen J, Li X, Chen Y, et al. Predictors of progression from moderate to severe coronavirus disease 2019: a retrospective cohort. Clin Microbiol Infect [Internet]. 2020 Out [cited 2021 Jul 20];26(10):1400-5. Available from: https://doi.org/10.1016/j.cmi.2020.06.033

Horby P, Lim WS, Emberson JR, Mafham M, Bell JL, Linsell L, et al. Dexamethasone in Hospitalized Patients with Covid-19. N Engl J Med. [Internet]. 2021 Out [cited 2021 Jul 20]; 384(8):693-704. Available from: https://doi.org/10.1056/NEJMoa2021436

Liu W, Tao ZW, Wang L, Yuan ML, Liu K, Zhou L, et al. Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease. Chin Med J (Engl) [Internet]. 2020 maio [cited 2021 Jul 20];133(9):1032-8. Available from: https://doi.org/10.1097/cm9.0000000000000775

Yang X, Liu Y, Liu Y, Yang Q, Wu X, Huang X, et al. Medication therapy strategies for the coronavirus disease 2019 (COVID-19): recent progress and challenges. Expert Rev Clin Pharmacol [Internet]. 2020 Ago 13 [cited 2021 Ago 5];13(9):957-75. Available from: https://doi.org/10.1080/17512433.2020.1805315

Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet [Internet]. 2020 Mar [cited 2021 Jul 20];395(10229):1054-62. Available from: https://doi.org/10.1016/s0140-6736(20)30566-3

Farid E, Sridharan K, Alsegai OA, Khawaja SA, Mansoor EJ, Teraifi NA, et al. Utility of inflammatory biomarkers in patients with COVID-19 infections: Bahrain experience. Biomark Med [Internet]. 2021 Jun [cited 2021 Jul 20];15(8):541-549. Available from: https://doi.org/10.2217/bmm-2020-0422

Tang N, Li D, Wang X, Sun Z et al. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. Journal of Thrombosis and Haemostasis [Internet]. Abr 2020 [citado 4 nov 2021];18(4):844-7. Available from: https://doi.org/10.1111/jth.14768

Zhang Jj, Dong X, Cao Yy, Yuan Yd, Yang Yb, Yan Yq, et al. Clinical characteristics of 140 patients infected with SARS‐CoV‐2 in Wuhan, China. Allergy [Internet]. 2020 Fev 27 [cited 2020 Jul 20];75(7):1730-41. Available from: https://doi.org/10.1111/all.14238

Wang L, He W, Yu X, Hu D, Bao M, Liu H, et al. Coronavirus disease 2019 in elderly patients: characteristics and prognostic factors based on 4-week follow-up. J Infect [Internet]. 2020 Jun [cited 2021 Jul 21];80(6):639-45. Available from: https://doi.org/10.1016/j.jinf.2020.03.019

Young BE, Ong SW, Kalimuddin S, Low JG, Tan SY, Loh J et al. Epidemiologic features and clinical course of patients infected with sars-cov-2 in singapore. JAMA [Internet]. 2020 Abr 21 [cited 2021 Ago 5];323(15):1488. Available from: https://doi.org/10.1001/jama.2020.3204.

Pan F, Yang L, Li Y, Liang B, Li L, Ye T, et al. Factors associated with death outcome in patients with severe coronavirus disease-19 (COVID-19): a case-control study. Int J Med Sci [Internet]. 2020 [cited 2021 Jul 20];17(9):1281-92. Available from: https://doi.org/10.7150/ijms.46614

Publicado

2023-06-29

Cómo citar

Silva, D. L. da ., & Moura, M. E. S. . (2023). Biomarkers and clinical outcomes of hospitalized patients with COVID-19. Revista De Prevención De Infecciones Y Salud, 9(1). https://doi.org/10.26694/repis.v8i1.2194

Artículos similares

1 2 3 4 5 > >> 

También puede {advancedSearchLink} para este artículo.