Examination of the relationship between blood values and mortality of Covid-19 positive patients: A retrospective analysis

Authors

  • Ayhan Tabur SBÜ, Gazi Yaşargil Eğitim ve Araştırma Hastanesi, DİYARBAKIR
  • Fatih Orhan SBÜ GÜLHANE SMYO, Ankara/Türkiye

DOI:

https://doi.org/10.5281/zenodo.7251456

Keywords:

Emergency Service, Covid 19, Mortality, Blood Values, Retrospective Analysis

Abstract

Aim: Many factors affect mortality rates due to COVID-19. COVID-19 causes many changes in patient blood parameters. Therefore, in our study, we aimed to evaluate whether there is a relationship between the analysis of basic laboratory findings of COVID-19 patients admitted to the emergency department and mortality due to COVID-19.

Material-Method: The blood measurement values of the patients admitted to the emergency department with the diagnosis of COVID-19 were evaluated retrospectively. The progress of the patients was examined electronically and recorded as recovery and death. A total of 3965 patients were included in the study, and patients with radiologically positive but negative PCR tests were not included in the study.

Results: A statistically significant difference was found in the levels of leukocytes, lymphocytes, HGB, MPV, Basophils, Neutrophils, CRP, PTZ, INR and paCO₂, whether the patients were healthy or deceased (p<0.05). It was determined that there was no statistically significant difference in Platelet, Eosinophil, ALT, AST, CK and O₂ levels (p>0.05). According to these findings, high Mean Platelet Volume, Leukocyte, Basophil, Neutrophil, CRP and PaCO2 values and low Lymphocyte, Hemoglobin, PTZ and INR values were evaluated as a significant relationship with mortality.

Conclusion: We evaluate that leukocytes, neutrophils and lymphocytes, CRP, clotting times and anemia are important parameters for predicting mortality rates from COVID. It should be known that close follow-up of COVID patients with these parameters will be beneficial.

References

World Health Organization. WHO declares COVID-19 a pandemic. 2020 [cited 2020 March 13]. Available from: https://www.who.int/dg/speeches/ detail/whodirector-general-s-opening-remarks-at-the-media-briefing-onCOVID-19---11- march-2020

Johns Hopkins University and Medicine. Coronavirus Resource Center. COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). https://coronavirus.jhu.edu/map.html [cited 2020 May 7].

Cao X. COVID-19: immunopathology and its implications for therapy. Nat Rev Immunol. 2020; 20(5):269-270

Henry BM, de Oliveira MHS, Benoit S, Plebani M, Lippi G. Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): A meta-analysis [published online ahead of print, 2020 Apr 10]. Clin Chem Lab Med. 2020;/j/cclm.ahead-of-print/cclm-2020-0369/cclm-2020-0369.xml. doi:10.1515/cclm2020-0369

Kermali M, Khalsa RK, Pillai K, Ismail Z, Harky A. The role of biomarkers in diagnosis of COVID-19- A systematic review [published online ahead of print, 2020 May 13]. Life Sci. 2020. doi: 10.1016/j.lfs.2020.117788

Wang Y, Ju M, Chen C, Yang D, Hou D, Tang X, et al. Neutrophil-to-lymphocyte ratio as a prognostic marker in acute respiratory distress syndrome patients: a retrospective study. J Thor Dis. 2018; 10(1):273-282

Sun S, Cai X, Wang H, He G, Lin Y, Lu B, et al. Abnormalities of peripheral blood system in patients with COVID-19 in Wenzhou. China. Clin Chimica Acta. 2020; 507:174-180.

Hu L, Chen S, Fu Y. Risk factors associated with clinical outcomes in 323 COVID-19 hospitalized patients in Wuhan, China. Clin Inf Dis. 2020; 71(16):2089–2098.

Lee N, Hui D, Wu A, Chan P, Cameron P, Joynt GM, et al. A major outbreak of severe acute respiratory syndrome in Hong Kong. N Engl J Med. 2003; 348:1986-1994. https://doi.org/10.1056/NEJMoa030685

Violi F, Cangemi R, Romiti GF, Ceccarelli G, Oliva A, Alessandri F, et al. Is albumin predictor of mortality in COVID-19? Antioxid Redox Signal. 2021 Jul 10;35(2):139-142. doi: 10.1089/ars.2020.8142. Epub 2020 Jun 22. PMID: 32524832

Tufan A, Avanoğlu Güler A, Matucci-Cerinic M. Covid-19, immune system response, hyperinflammation and repurposing antirheumatic drugs. Turk J Med Sci. 2020;50(SI-1):620-32.

Lagunas-Rangel FA. Neutrophil-to-lymphocyte ratio and lymphocyte-to-C-reactive protein ratio in patients with severe coronavirus disease 2019 (Covid-19): A meta-analysis [published online ahead of print, 2020 Apr 3]. J Med Virol. 2020;10.1002/jmv.25819. doi:10.1002/jmv.25819.

Güçlü E, Kocayiğit H, Okan HD, Erkorkmaz U. Effect of COVID-19 on platelet count and its indices. Rev Assoc Med Bras. 2020; 66(8):1122-1127

Zhao Q, Meng M, Kumar R, Wu Y, Huang J, Deng Y, et al. Lymphopenia is associated with severe coronavirus disease 2019 (Covid-19) infections: a systemic review and meta-analysis. Int J Infect Dis. 2020;96:131-135.

Lippi G, Plebani M, Henry BM. Thrombocytopenia is associated with severe coronavirus disease 2019 (Covid-19) infections: a meta-analysis. Clin Chim Acta. 2020;506:145-148.

Yang X, Yang Q, Wang Y, Wu Y, Xu J, Yu Y, et al. Thrombocytopenia and its association with mortality in patients with Covid-19. J Thromb Haemost. 2020;18(6):1469-1472.

Nalbant A, Kaya T, Varim C, Yaylacı S, Tamer A, Cinemre H. Can the neutrophil/lymphocyte ratio (NLR) have a role in the diagnosis of coronavirus 2019 disease (Covid-19)?. Rev Assoc Med Bras. 2020; 66(6):746-751.

Huang I, Pranata R. Lymphopenia in severe coronavirus disease-2019 (Covid-19): systematic review and meta-analysis. J Intensive Care. 2020;8:36.

Sun J, Aghemo A, Forner A, Valenti L. Covid-19 and liver disease. Liver Int. 2020;40:1278-1281.

Feng G, Zheng KI, Yan QQ, Rios RS, Targher G, Byrne CD, et al. COVID-19 and liver dysfunction: current insights and emergent therapeutic strategies. J Clin Transl Hepatol. 2020;8(1):18-24.

Wong SH, Lui RN, Sung JJ. Covid-19 and the digestive system. J Gastroenterol Hepatol. 2020;35(5):744-748.

Zheying T,Jing X,Wei C,Zhitao Y. Anemia is associated with severe illness in Covid-19: A retrospective cohort study. J Med Virol. 2021; 93 (3): 1478-1488.

Silveira EC. Prediction of Covid-19 from hemogram results and age using machine learning - .Hamara Journals. 2020; (9):1-10.

Xinye L, Xiandu P, Yanda L, Na A. Cardiac injury associated with severe disease or ICU admission and death in hospitalized patients with Covid-19: a meta-analysis and systematic review. Crit Care. 2020;24(1):468.

Lin J, Yan H, Chen H, He C, Lin C, He H, et al. COVID-19 and coagulation dysfunction in adults: A systematic review and meta-analysis. J Med Virol. 2021 Feb;93(2):934-944.

H Long, L Nie, X Xiang, H Li, X Zhang, X Fu, D-dimer and prothrombin time are the significant indicators of severe COVID-19 and poor prognosis. Hindawi. BioMed Research International. 2020; 6159720 https: //doi.org/ 10.1155/2020/6159720.

Keçeli S. Sağlık bakım hizmetleri alanında yapılan inovasyon konulu makalelerin bilim haritalama teknikleriyle analizi. Elektronik Sosyal Bilimler Dergisi, 2022;21(83): 1201-1224.

Kurutkan MN, Orhan F, Kaygısız P. Hasta güvenliği literatürünün bibliyometrik analizi: Türkçe tez ve makaleler örneği. Sağlık Akademisyenleri Dergisi. 2017; 4(4): 253-259.

Published

2022-10-26

How to Cite

Tabur, A., & Orhan, F. (2022). Examination of the relationship between blood values and mortality of Covid-19 positive patients: A retrospective analysis. Journal of Social and Analytical Health, 2(3), 306–311. https://doi.org/10.5281/zenodo.7251456

Issue

Section

Orijinal Articles