Early laboratory hematological parameters associated with COVID-19 mortality in an Amazonian population of Peru

Authors

  • Sebastián Iglesias-Osores Facultad de Ciencias Biológicas, Universidad Nacional Pedro Ruiz Gallo, Lambayeque, Peru
  • Arturo Rafael-Heredia Facultad de Medicina Humana, Universidad Nacional de Ucayali, Ucayali, Peru
  • Eric R Rojas-Tello Hospital II Essalud Pucalpa, Ucayali, Peru
  • Washington A Ortiz-Uribe Facultad de Medicina Humana, Universidad Nacional de Ucayali, Ucayali, Peru
  • Walter R Leveau-Bartra Facultad de Medicina Humana, Universidad Nacional de Ucayali, Ucayali, Peru
  • Orison A Leveau-Bartra Facultad de Medicina Humana, Universidad Nacional de Ucayali, Ucayali, Peru
  • Lizbeth M Córdova-Rojas Universidad Nacional de Jaén, Cajamarca, Peru
  • Wagner Colmenares-Mayanga Universidad Nacional de Jaén, Cajamarca, Peru
  • Virgilio E Failoc-Rojas Universidad San Ignacio de Loyola, Lima, Peru https://orcid.org/0000-0003-2992-9342

DOI:

https://doi.org/10.35434/rcmhnaaa.2022.154.1529

Keywords:

Coronavirus-2019, 2019-nCoV, COVID-19, Novel Coronavirus (SARS- CoV-2/HCoV-19), SARS-CoV-2, Laboratory findings, Prognosis, diagnosis

Abstract

COVID-19 has a significant impact on the hematopoietic system and hemostasis. Leukocytosis, lymphopenia, and thrombocytopenia are associated with increased severity and even death in COVID-19 cases. Objective: The aim is to examine the laboratory results of COVID-19 patients from a hospital in the Peruvian Amazon and their clinical prognosis. Material and Methods: An analytical cross-sectional study was carried out whose purpose was to identify the laboratory tests of patients with COVID-19 and mortality in a hospital in Ucayali, Peru during the period from March 13 to May 9, 2020, selecting a total of 127 with Covid-19. Mean and the standard deviation was described for age, leukocytes, neutrophils, platelets, RDW-SD; median and interquartile range for the variables lymphocyte, RN / L, fibrinogen, CRP, D-dimer, DHL, hematocrit, monocytes, eosinophils. Results: No differences were observed in this population regarding death and sex (OR: 1.31; 95% CI 0.92 to 1.87), however, it was observed that, for each one-year increase, the probability of death increased by 4% (PR: 1.04, 95% CI 1.03 to 1.05). The IRR (Incidence Risk Ratio) analysis for the numerical variables showed results strongly associated with hematological values such as Leukocytes (scaled by 2500 units) (IRR: 1.08, 95% CI 1.03 to 1.13), neutrophils (scaled by 2500 units) (IRR: 1.08; 95% CI 1.03 to 1.13), on the contrary, it is observed that the increase of 1000 units in lymphocytes, the probability of dying decreased by 48% (IRR: 0.52; 95% CI 0.38 to 071). Conclusions: Parameters such as leukocytes,neutrophils and D-dimer were statistically much higher in patients who died.

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Author Biographies

Sebastián Iglesias-Osores, Facultad de Ciencias Biológicas, Universidad Nacional Pedro Ruiz Gallo, Lambayeque, Peru

  1. Biólogo.

Arturo Rafael-Heredia, Facultad de Medicina Humana, Universidad Nacional de Ucayali, Ucayali, Peru

  1. Estudiante de medicina

Eric R Rojas-Tello, Hospital II Essalud Pucalpa, Ucayali, Peru

1. Médico Cirujano

Washington A Ortiz-Uribe, Facultad de Medicina Humana, Universidad Nacional de Ucayali, Ucayali, Peru

  1. Estudiante de medicina

Walter R Leveau-Bartra, Facultad de Medicina Humana, Universidad Nacional de Ucayali, Ucayali, Peru

  1. Estudiante de medicina

Orison A Leveau-Bartra, Facultad de Medicina Humana, Universidad Nacional de Ucayali, Ucayali, Peru

  1. Estudiante de medicina

Lizbeth M Córdova-Rojas, Universidad Nacional de Jaén, Cajamarca, Peru

  1. Estudiante de medicina

Wagner Colmenares-Mayanga, Universidad Nacional de Jaén, Cajamarca, Peru

  1. Estudiante de medicina

Virgilio E Failoc-Rojas, Universidad San Ignacio de Loyola, Lima, Peru

  1. Médico Cirujano

References

Emanuel EJ, Persad G, Upshur R, Thome B, Parker M, Glickman A, et al. Fair Allocation of Scarce Medical Resources in the Time of Covid-19. N Engl J Med [Internet]. 2020 May 21 [cited 2022 Apr 25];382(21):2049–55. Available from: https://www.nejm.org/doi/full/10.1056/nejmsb2005114. DOI: 10.1056/NEJMsb2005114

Peru COVID - Coronavirus Statistics - Worldometer [Internet]. [cited 2022 Apr 25]. Available from: https://www.worldometers.info/coronavirus/country/peru

Álvarez-Antonio C, Meza-Sánchez G, Calampa C, Casanova W, Carey C, Alava F, et al. Seroprevalence of anti-SARS-CoV-2 antibodies in Iquitos, Peru in July and August, 2020: a population-based study. Lancet Glob Heal. 2021 Jul 1;9(7):e925–31. DOI:https://doi.org/10.1016/S2214-109X(21)00173-X

Díaz-Vélez C, Failoc-Rojas VE, Valladares-Garrido MJ, Colchado J, Carrera-Acosta L, Becerra M, et al. SARS-CoV-2 seroprevalence study in Lambayeque, Peru. June–July 2020. PeerJ [Internet]. 2021 Apr 6 [cited 2022 Apr 25];9:e11210. Available from: https://peerj.com/articles/11210. DOI: 10.7717/peerj.11210

Struyf T, Deeks JJ, Dinnes J, Takwoingi Y, Davenport C, Leeflang MMG, et al. Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19 disease. Cochrane Database Syst Rev. 2020 Jul;2020(7). DOI: 10.1002/14651858.CD013665

Halboub E, Al-Maweri SA, Alanazi RH, Qaid NM, Abdulrab S. Orofacial manifestations of COVID-19: a brief review of the published literature. Braz Oral Res. 2020;34. DOI: 10.1590/1807-3107bor-2020.vol34.0124

Pan L, Mu M, Yang P, Sun Y, Wang R, Yan J, et al. Clinical characteristics of COVID-19 patients with digestive symptoms in Hubei, China: A descriptive, cross-sectional, multicenter study. Am J Gastroenterol. 2020 May;115(5):766–73.

Makaronidis J, Mok J, Balogun N, Magee CG, Omar RZ, Carnemolla A, et al. Seroprevalence of SARS-CoV-2 antibodies in people with an acute loss in their sense of smell and/or taste in a community-based population in London, UK: An observational cohort study. PLoS Med. 2020 Oct;17(10):e1003358. DOI: 10.1371/journal.pmed.1003358

Ruan Q, Yang K, Wang W, Jiang L, Song J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China [published correction appears in Intensive Care Med. 2020 Apr 6;:]. Intensive Care Med. 2020;46(5):846-848. . DOI: 10.1007/s00134-020-05991-x

Ioannidis JPA, Axfors C, Contopoulos-Ioannidis DG. Population-level COVID-19 mortality risk for non-elderly individuals overall and for non-elderly individuals without underlying diseases in pandemic epicenters. Environ Res. 2020 Sep;188:109890. DOI: 10.1016/j.envres.2020.109890

Hasan SS, Capstick T, Ahmed R, Kow CS, Mazhar F, Merchant H a., et al. Mortality in COVID-19 patients with acute respiratory distress syndrome and corticosteroids use: a systematic review and meta-analysis. Expert Rev Respir Med. 2020 Nov;14(11):1149–63. DOI: 10.1080/17476348.2020.1804365

Guo W, Li M, Dong Y, Zhou H, Zhang Z, Tian C, et al. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab Res Rev. 2020 Oct;36(7). DOI: 10.1002/dmrr.3319

Zaki N, Alashwal H, Ibrahim S. Association of hypertension, diabetes, stroke, cancer, kidney disease, and high-cholesterol with COVID-19 disease severity and fatality: A systematic review. Diabetes Metab Syndr Clin Res Rev. 2020 Sep;14(5):1133–42. DOI: 10.1016/j.dsx.2020.07.005

Pourbagheri-Sigaroodi A, Bashash D, Fateh F, Abolghasemi H. Laboratory findings in COVID-19 diagnosis and prognosis. Clin Chim Acta. 2020;510:475-482. DOI:10.1016/j.cca.2020.08.019

Xie Y, Wang Z, Liao H, Marley G, Wu D, Tang W. Epidemiologic, Clinical, and Laboratory Findings of the COVID-19 in the current pandemic. Res Sq [Preprint]. 2020 May 28:rs.3.rs-28367. doi: 10.21203/rs.3.rs-28367/v1. Update in: BMC Infect Dis. 2020 Aug 31;20(1):640. DOI: 10.21203/rs.3.rs-28367/v1.

Terpos E, Ntanasis-Stathopoulos I, Elalamy I, Kastritis E, Sergentanis TN, Politou M, et al. Hematological findings and complications of COVID-19. Am J Hematol. 2020 Jul;95(7):834–47. DOI: 10.1002/ajh.25829

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. Clin Chem Lab Med. 2020 Jun;58(7):1021–8. DOI: 10.1515/cclm-2020-0369

Liu X, Zhang R, He G. Hematological findings in coronavirus disease 2019: indications of progression of disease. Ann Hematol. 2020;99(7):1421-1428. DOI:10.1007/s00277-020-04103-5.

Organization WH. Clinical management of severe acute respiratory infection (SARI) when COVID-19 disease is suspected: interim guidance, 13 March 2020. World Health Organization; 2020.

Elshazli RM, Toraih EA, Elgaml A, El-Mowafy M, El-Mesery M, Amin MN, et al. Diagnostic and prognostic value of hematological and immunological markers in COVID-19 infection: A meta-analysis of 6320 patients. Afrin F, editor. PLoS One. 2020 Aug;15(8 August):e0238160. DOI: 10.1371/journal.pone.0238160

Gu J, Korteweg C. Pathology and pathogenesis of severe acute respiratory syndrome. Am J Pathol. 2007;170(4):1136–47. DOI: 10.2353/ajpath.2007.061088

Yuan X, Huang W, Ye B, Chen C, Huang R, Wu F, et al. Changes of hematological and immunological parameters in COVID-19 patients. Int J Hematol [Internet]. 2020 Oct 1 [cited 2020 Nov 15];112(4):553–9. Available from: https://doi.org/10.1007/s12185-020-02930-w. DOI: 10.1007/s12185-020-02930-w

Zhao Y, Nie HX, Hu K, Wu XJ, Zhang YT, Wang MM, et al. Abnormal immunity of non-survivors with COVID-19: Predictors for mortality. Infect Dis Poverty. 2020 Aug;9(1):108.DOI: 10.1186/s40249-020-00723-1

Liu Y, Du X, Chen J, Jin Y, Peng L, Wang HHX, et al. Neutrophil-to-lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19. J Infect. 2020 Jul;81(1):e6–12. DOI: 10.1016/j.jinf.2020.04.002

Hayiroglu MI, Cinar T, Tekkesin AI. Fibrinogen and D-dimer variances and anticoagulation recommendations in Covid-19: Current literature review. Rev Assoc Med Bras. 2020 Jun;66(6):842–8. DOI: 10.1590/1806-9282.66.6.842

Tang N, Li D, Wang X, Sun Z. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J Thromb Haemost. 2020 Apr;18(4):844–7. DOI: 10.1111/jth.14768

Wang C, Deng R, Gou L, Fu Z, Zhang X, Shao F, et al. Preliminary study to identify severe from moderate cases of COVID-19 using combined hematology parameters. Ann Transl Med. 2020 May;8(9):593–593. DOI: 10.21037/atm-20-3391

Mallapaty S. The coronavirus is most deadly if you are older and male-new data reveal the risks. Nature. 2020;16–7. DOI: 10.1038/d41586-020-02483-2

Lippi G, Favaloro EJ. D-dimer is Associated with Severity of Coronavirus Disease 2019: A Pooled Analysis. Thromb Haemost. 2020 May;120(5):876–7. OI: 10.1055/s-0040-1709650

Published

2023-02-06

How to Cite

1.
Iglesias-Osores S, Rafael-Heredia A, Rojas-Tello ER, Ortiz-Uribe WA, Leveau-Bartra WR, Leveau-Bartra OA, Córdova-Rojas LM, Colmenares-Mayanga W, Failoc-Rojas VE. Early laboratory hematological parameters associated with COVID-19 mortality in an Amazonian population of Peru. Rev. Cuerpo Med. HNAAA [Internet]. 2023 Feb. 6 [cited 2024 Nov. 21];15(4):530-4. Available from: http://cmhnaaa.org.pe/ojs/index.php/rcmhnaaa/article/view/1529

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