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Volume 2023, Issue 2
  • ISSN: 1999-7086
  • EISSN: 1999-7094

Abstract

In this study, we consider the heterogeneity of the results on the prognostic role of red cell distribution width (RDW) in COVID-19, and this study aimed to determine the relationship between RDW and mortality in COVID-19 patients.

This descriptive-analytical cross-sectional study was conducted on hospitalized COVID-19 patients whose disease was confirmed by PCR test positivity. Demographic characteristics, underlying diseases, and laboratory tests were the study variables. Patient outcomes were defined as in-hospital mortalities. The level of the Red Blood Cell Distribution Width-corpuscular volume (RDW-CV) in complete blood count (CBC) on arrival and the second day of hospitalization of patients and other variables were recorded in the checklist. The in-hospital mortalities were designated as the outcomes of the study.

In this study, 201 patients were included, and the in-hospital mortality was 28 (13.9%). The correlation between variables in predicting in-hospital mortality using univariate regression analysis showed that there is a significant relationship between triage level, chronic lung disease and age, oxygen saturation, lymphocytes, BUN, and Cr CRP with in-hospital mortality; however, this significant relationship with RDW values of the patients on arrival and the first day of the hospitalization as well as △RDW (RDW on arrival – the first-day RDW) was not observed. Finally, based on the multivariate logistic regression model, there was a significant relationship between the triage level, age, and oxygen saturation with in-hospital mortality.

In COVID-19 patients, factors such as triage level, age, and oxygen saturation can play a significant role in predicting in-hospital mortality. The role of RDW in determining the outcome of the disease is still unclear.

© 2023 Torabi, Akbari, Mirzaee, licensee HBKU Press.
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2023-07-02
2024-06-08
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References

  1. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020; 395:(10223):497–506.
     [Google Scholar]
  2. Shereen MA, Khan S, Kazmi A, Bashir N, Siddique R. COVID-19 infection: Emergence, transmission, and characteristics of human coronaviruses. J Adv Res. 2020; 24::91–8.
     [Google Scholar]
  3. Poorolajal J. The global pandemics are getting more frequent and severe. J Res Health Sci. 2021; 21:(1):e00502.
     [Google Scholar]
  4. Liu M, Wang T, Zhou Y, Zhao Y, Zhang Y, Li J. Potential role of ACE2 in coronavirus disease 2019 (COVID-19) prevention and management. J Transl Int Med. 2020; 8:(1):9–19.
     [Google Scholar]
  5. Xu J, Chu M, Zhong F, Tan X, Tang G, Mai J, et al. Digestive symptoms of COVID-19 and expression of ACE2 in digestive tract organs. Cell Death Discov. 2020; 6::76.
     [Google Scholar]
  6. Hirano T, Murakami M. COVID-19: A new virus, but a familiar receptor and cytokine release syndrome. Immunity. 2020; 52:(5):731–3.
     [Google Scholar]
  7. Liu X, Wang H, Shi S, Xiao J. Association between IL-6 and severe disease and mortality in COVID-19 disease: A systematic review and meta-analysis. Postgrad Med J. 2022; 98:(1165):871–9.
     [Google Scholar]
  8. Ullah W, Thalambedu N, Haq S, Saeed R, Khanal S, Tariq S, et al. Predictability of CRP and D-Dimer levels for in-hospital outcomes and mortality of COVID-19. J Community Hosp Intern Med Perspect. 2020; 10:(5):402–8.
     [Google Scholar]
  9. Naymagon L, Zubizarreta N, Feld J, van Gerwen M, Alsen M, Thibaud S, et al. Admission D-dimer levels, D-dimer trends, and outcomes in COVID-19. Thromb Res. 2020; 196::99–105.
     [Google Scholar]
  10. Foy BH, Carlson JCT, Reinertsen E, Valls RP, Lopez RP, Palanques-Tost E, et al. Elevated RDW is associated with increased mortality risk in COVID-19. medRxiv. 2020; 9::2020–5.
     [Google Scholar]
  11. Higgins JM, Mahadevan L. Physiological and pathological population dynamics of circulating human red blood cells. Proc Natl Acad Sci USA. 2010; 107:(47):20587–92.
     [Google Scholar]
  12. Atik D, Kaya HB. Evaluation of the relationship of MPV, RDW, and PVI parameters with disease severity in Covid-19 patients. Acta Clin Croat. 2021; 60:(1.):103–14.
     [Google Scholar]
  13. Banon T, Wortsman J, Moshe SB, Gazit S, Peretz A, Tov AB, et al. Evaluating red blood cell distribution width from community blood tests as a predictor of hospitalization and mortality in adults with SARS-CoV-2: A cohort study. Ann Med. 2021; 53:(1):1410–8.
     [Google Scholar]
  14. Liang W, Yao J, Chen A, Lv Q, Zanin M, Liu J, et al. Early triage of critically ill COVID-19 patients using deep learning. Nat Commun. 2020 Jul 15; 11:(1):1–7.
     [Google Scholar]
  15. Beals IV J, Barnes JJ, Durand DJ, Rimar JM, Donohue TJ, Hoq SM, et al. Stratifying deterioration risk by acuity at admission offers triage insights for coronavirus disease 2019 patients. Crit Care Explor. 2021 Apr; 3:(4):e0400.
     [Google Scholar]
  16. Henkens MTHM, Raafs AG, Verdonschot JAJ, Linschoten M, van Smeden M, Wang P, et al. Age is the main determinant of COVID-19-related in-hospital mortality with minimal impact on pre-existing comorbidities, a retrospective cohort study. BMC Geriatr. 2022; 22:(1):184.
     [Google Scholar]
  17. Borgne PL, Dellenbach Q, Alame K, Noizet M, Gottwalles Y, Chouihed T, et al. The impact of age on in-hospital mortality in critically Ill COVID-19 patients: A retrospective and multicenter study. Diagnostics. 2022 Mar 9; 12:(3):666.
     [Google Scholar]
  18. Acar E, Demir A, Yıldırım B, Kaya MG, Gökçek K. The role of hemogram parameters and C-reactive protein in predicting mortality in COVID-19 infection. Int J Clin Pract. 2021 Jul; 75:(7):e14256.
     [Google Scholar]
  19. Soni M, Gopalakrishnan R. Significance of RDW in predicting mortality in COVID-19—An analysis of 622 cases. Int J Lab Hematol. 2021; 43:(4):O221–3.
     [Google Scholar]
  20. Hornick A, Tashtish N, Osnard M, Shah B, Bradigan A, Albar Z, et al. Anisocytosis is associated with short-term mortality in COVID-19 and may reflect a proinflammatory signature in uninfected ambulatory adults. Pathog Immun. 2020; 5:(1):312–26.
     [Google Scholar]
  21. Jandaghian S, Vaezi A, Manteghinejad A, Nasirian M, Vaseghi G, Javanmard SH. Red Blood Cell Distribution Width (RDW) as a predictor of in-hospital mortality in COVID-19 patients; a cross-sectional study. Arch Acad Emerg Med. 2021; 9:(1):e67.
     [Google Scholar]
  22. Lorente L, Martín MM, Argueso M, Solé-Violán J, Perez A, Ramos JAMY, et al. Association between red blood cell distribution width and mortality of COVID-19 patients. Anaesth Crit Care Pain Med. 2021 Feb; 40:(1):100777.
     [Google Scholar]
  23. Lucijanić M, Jordan A, Jurin I, Živković NP, Sorić E, Hadžibegović I, et al. Red cell distribution width is a potent prognostic parameter for in-hospital and post-discharge mortality in hospitalized coronavirus disease 2019 patients: A registry-based cohort study on 3941 patients. Croat Med J. 2022 Feb; 63:(1):44–52.
     [Google Scholar]
  24. Dave M, Nyati A, Kumar R, Sareen M. A comparative study of absolute lymphocyte count (Alc), neutrophil lymphocyte ratio (Nlr) and red cell distribution width (Rdw) among Covid 19 death and survival group. J Assoc Physicians India. 2022 Apr; 70:(4):11–2.
     [Google Scholar]
  25. Seyit M, Avci E, Nar R, Senol H, Yilmaz A, Ozen M, et al. Neutrophil to lymphocyte ratio, lymphocyte to monocyte ratio and platelet to lymphocyte ratio to predict the severity of COVID-19. Am J Emerg Med. 2021 Feb; 40::110–4.
     [Google Scholar]
/content/journals/10.5339/jemtac.2023.16
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Association between red blood cell distribution width and mortality in COVID-19
Journal of Emergency Medicine, Trauma and Acute Care 2023, 16 (2023); https://doi.org/10.5339/jemtac.2023.16
/content/journals/10.5339/jemtac.2023.16
/content/journals/10.5339/jemtac.2023.16
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Keyword(s): COVID-19, in-hospital mortality, patient outcome and red cell distribution width

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