open access

Vol 8, No 4 (2023)
Research paper
Published online: 2023-12-12
Get Citation

Sex- and gender-specific differences in the inflammatory response to COVID-19: the role of the neutrophil-to-lymphocyte ratio

Kacper Dziedzic1, Michal Pruc2, Mazlum Kilic3, Rohat Ah4, Murat Yildirim56, Lukasz Szarpak78, Kamil Safiejko9, Rola Khamisy-Farah1011, Francesco Chirico12, Nicola Luigi Bragazzi13
·
Disaster Emerg Med J 2023;8(4):234-242.
Affiliations
  1. Department of Clinical Research and Development, LUX MED Group, Warsaw, Poland
  2. Department of Public Health, International European University, Kyiv, Ukraine
  3. Department of Emergency Medicine, Fatih Sultan Mehmet Education and Research Hospital, Istanbul, Türkiye
  4. Department of Emergency Medicine, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Türkiye
  5. Department of Psychology, Faculty of Science and Letters, Ağrı İbrahim Çeçen University, Türkiye
  6. Graduate Studies and Research, Lebanese American University, Beirut, Lebanon
  7. Henry JN Taub Department of Emergency Medicine, Baylor College of Medicine Houston, Houston, TX, USA
  8. Department of Clinical Research and Development, LUXMED Group, Warsaw, Poland
  9. Research Unit, Maria Sklodowska-Curie Bialystok Oncology Center, Bialystok, Poland
  10. Clalit Health Services, Akko, Israel
  11. Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel
  12. Post-Graduate School of Occupational Health, Università Cattolica del Sacro Cuore, Rome, Italy
  13. Department of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics (LIAM), York University, Toronto, Canada

open access

Vol 8, No 4 (2023)
ORIGINAL ARTICLES
Published online: 2023-12-12

Abstract

INTRODUCTION: The neutrophil-to-lymphocyte ratio (NLR) is a simple blood test marker used to predict the severity of COVID-19. The study aimed to describe the correlation between neutrophil–to–lymphocyte ratio sex- and gender-specific differences in the inflammatory response to COVID-19. MATERIAL AND METHODS: This retrospective observational study was conducted with patients diagnosed with COVID-19 in the emergency department of a tertiary hospital between January 1, 2022, and May 31, 2022. The receiver operating characteristic (ROC) area under the curve (AUC) analysis was conducted to verify NLR predictive capacity. RESULTS: The study population consisted of 47% women and 53% men with a mean age of 72.42 years. Women were significantly older than men on average. At admission, 73% of patients were classified as nonsevere, while 27% were severe. Overall, 63% of patients survived the infection. CONCLUSIONS: There were slight but not statistically significant differences in neutrophil counts between men and women. However, there were significant differences in lymphocyte counts and the NLR, with women having higher lymphocyte counts and men having higher NLR. The study found very weak correlations between age and neutrophil counts, lymphocyte counts, and NLR, suggesting no strong relationship between age and these variables. Patients with severe disease had higher neutrophil counts and NLR but lower lymphocyte counts compared to nonsevere patients. Survivors had lower neutrophil counts and NLR but higher lymphocyte counts compared to those who did not survive. NLR was a significant predictor of both admission status and survivor status, with ROC AUC values indicating its predictive capacity. These findings highlight the potential importance of NLR as a biomarker in predicting disease severity and survival in patients.

Abstract

INTRODUCTION: The neutrophil-to-lymphocyte ratio (NLR) is a simple blood test marker used to predict the severity of COVID-19. The study aimed to describe the correlation between neutrophil–to–lymphocyte ratio sex- and gender-specific differences in the inflammatory response to COVID-19. MATERIAL AND METHODS: This retrospective observational study was conducted with patients diagnosed with COVID-19 in the emergency department of a tertiary hospital between January 1, 2022, and May 31, 2022. The receiver operating characteristic (ROC) area under the curve (AUC) analysis was conducted to verify NLR predictive capacity. RESULTS: The study population consisted of 47% women and 53% men with a mean age of 72.42 years. Women were significantly older than men on average. At admission, 73% of patients were classified as nonsevere, while 27% were severe. Overall, 63% of patients survived the infection. CONCLUSIONS: There were slight but not statistically significant differences in neutrophil counts between men and women. However, there were significant differences in lymphocyte counts and the NLR, with women having higher lymphocyte counts and men having higher NLR. The study found very weak correlations between age and neutrophil counts, lymphocyte counts, and NLR, suggesting no strong relationship between age and these variables. Patients with severe disease had higher neutrophil counts and NLR but lower lymphocyte counts compared to nonsevere patients. Survivors had lower neutrophil counts and NLR but higher lymphocyte counts compared to those who did not survive. NLR was a significant predictor of both admission status and survivor status, with ROC AUC values indicating its predictive capacity. These findings highlight the potential importance of NLR as a biomarker in predicting disease severity and survival in patients.

Get Citation

Keywords

biomarkers; inflammation; immune system; COVID-19; sex- and gender-specific differences

About this article
Title

Sex- and gender-specific differences in the inflammatory response to COVID-19: the role of the neutrophil-to-lymphocyte ratio

Journal

Disaster and Emergency Medicine Journal

Issue

Vol 8, No 4 (2023)

Article type

Research paper

Pages

234-242

Published online

2023-12-12

Page views

368

Article views/downloads

144

DOI

10.5603/demj.98191

Bibliographic record

Disaster Emerg Med J 2023;8(4):234-242.

Keywords

biomarkers
inflammation
immune system
COVID-19
sex- and gender-specific differences

Authors

Kacper Dziedzic
Michal Pruc
Mazlum Kilic
Rohat Ah
Murat Yildirim
Lukasz Szarpak
Kamil Safiejko
Rola Khamisy-Farah
Francesco Chirico
Nicola Luigi Bragazzi

References (26)
  1. Buonacera A, Stancanelli B, Colaci M, et al. Neutrophil to lymphocyte ratio: an emerging marker of the relationships between the immune system and diseases. Int J Mol Sci. 2022; 23(7).
  2. Kilic M, Hokenek UD. Association between D-dimer and mortality in COVID-19 patients: a single center study from a Turkish hospital. Disaster Emerg Med J. 2022; 7(4): 225–230.
  3. Gong P, Liu Y, Gong Y, et al. The association of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, and lymphocyte to monocyte ratio with post-thrombolysis early neurological outcomes in patients with acute ischemic stroke. J Neuroinflammation. 2021; 18(1): 51.
  4. Matuszewski M, Szarpak L, Pruc M, et al. Platelet-to-lymphocyte ratio as a prognostic biomarker for COVID-19 severity: a single center retrospective data analysis and systematic review with meta-analysis of 187 studies. Disaster Emereg Med J. ; 2023.
  5. Li W, Hou M, Ding Z, et al. Prognostic value of neutrophil-to-lymphocyte ratio in stroke: a systematic review and meta-analysis. Front Neurol. 2021; 12: 686983.
  6. Cupp MA, Cariolou M, Tzoulaki I, et al. Neutrophil to lymphocyte ratio and cancer prognosis: an umbrella review of systematic reviews and meta-analyses of observational studies. BMC Med. 2020; 18(1): 360.
  7. Platini H, Ferdinand E, Kohar K, et al. Neutrophil-to-Lymphocyte ratio and platelet-to-lymphocyte ratio as prognostic markers for advanced non-small-cell lung cancer treated with immunotherapy: a systematic review and meta-analysis. Medicina (Kaunas). 2022; 58(8): 1069.
  8. Parthasarathi A, Padukudru S, Arunachal S, et al. The role of neutrophil-to-lymphocyte ratio in risk stratification and prognostication of COVID-19: a systematic review and meta-analysis. Vaccines (Basel). 2022; 10(8).
  9. Sarkar S, Khanna P, Singh AK. The impact of neutrophil-lymphocyte count ratio in COVID-19: a systematic review and meta-analysis. J Intensive Care Med. 2022; 37(7): 857–869.
  10. Smereka J, Szarpak L. COVID 19 a challenge for emergency medicine and every health care professional. Am J Emerg Med. 2020; 38(10): 2232–2233.
  11. Ruetzler K, Szarpak L, Filipiak K, et al. The COVID-19 pandemic — a view of the current state of the problem. Disaster Emerg Med J. 2020; 5(2): 106–107.
  12. Szarpak Ł, Nowak B, Kosior D, et al. Cytokines as predictors of COVID-19 severity: evidence from a meta-analysis. Pol Arch Intern Med. 2021; 131(1): 98–99.
  13. Fernandez-Botran R, Furmanek S, Ambadapoodi RS, et al. Association and predictive value of biomarkers with severe outcomes in hospitalized patients with SARS-CoV-2 infection. Cytokine. 2022; 149: 155755.
  14. Sayah W, Berkane I, Guermache I, et al. Interleukin-6, procalcitonin and neutrophil-to-lymphocyte ratio: potential immune-inflammatory parameters to identify severe and fatal forms of COVID-19. Cytokine. 2021; 141: 155428.
  15. Zahorec R, Hulin I, Zahorec P. Rationale use of neutrophil-to-lymphocyte ratio for early diagnosis and stratification of COVID-19. Bratisl Lek Listy. 2020; 121(7): 466–470.
  16. Jimeno S, Ventura PS, Castellano JM, et al. Prognostic implications of neutrophil-lymphocyte ratio in COVID-19. Eur J Clin Invest. 2021; 51(1): e13404.
  17. Faria SS, Fernandes PC, Silva MJ, et al. The neutrophil-to-lymphocyte ratio: a narrative review. Ecancermedicalscience. 2016; 10: 702.
  18. Miyashita K, Hozumi H, Furuhashi K, et al. Changes in the characteristics and outcomes of COVID-19 patients from the early pandemic to the delta variant epidemic: a nationwide population-based study. Emerg Microbes Infect. 2023; 12(1): 2155250.
  19. Chen YH, Cheuh YN, Chen CM, et al. Epidemiological characteristics of the three waves of COVID-19 epidemic in Taiwan during April 2022 to March 2023. J Formos Med Assoc. 2023; 122(11): 1174–1182.
  20. Yang AP, Liu JP, Tao WQ, et al. The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients. Int Immunopharmacol. 2020; 84: 106504.
  21. Palladino M. Complete blood count alterations in COVID-19 patients: a narrative review. Biochem Med (Zagreb). 2021; 31(3): 030501.
  22. Ponti G, Maccaferri M, Ruini C, et al. Biomarkers associated with COVID-19 disease progression. Crit Rev Clin Lab Sci. 2020; 57(6): 389–399.
  23. Battaglini D, Lopes-Pacheco M, Castro-Faria-Neto HC, et al. Laboratory biomarkers for diagnosis and prognosis in COVID-19. Front Immunol. 2022; 13: 857573.
  24. Borges L, Pithon-Curi TC, Curi R, et al. COVID-19 and neutrophils: the relationship between hyperinflammation and neutrophil extracellular traps. Mediators Inflamm. 2020; 2020: 8829674.
  25. Gustine JN, Jones D. Immunopathology of hyperinflammation in COVID-19. Am J Pathol. 2021; 191(1): 4–17.
  26. Cesta MC, Zippoli M, Marsiglia C, et al. Neutrophil activation and neutrophil extracellular traps (NETs) in COVID-19 ARDS and immunothrombosis. Eur J Immunol. 2023; 53(1): e2250010.

Regulations

Important: This website uses cookies. More >>

The cookies allow us to identify your computer and find out details about your last visit. They remembering whether you've visited the site before, so that you remain logged in - or to help us work out how many new website visitors we get each month. Most internet browsers accept cookies automatically, but you can change the settings of your browser to erase cookies or prevent automatic acceptance if you prefer.

By VM Media Group sp. z o.o., ul. Świętokrzyska 73, 80–180 Gdańsk, Poland
tel.:+48 58 320 94 94, fax:+48 58 320 94 60, e-mail: viamedica@viamedica.pl