Are neutrophil, platelet and eosinophil-to-lymphocyte ratio and red blood cell distribution width can be used for nasal polyposis?

Eur Arch Otorhinolaryngol. 2018 Feb;275(2):409-413. doi: 10.1007/s00405-017-4821-3. Epub 2017 Nov 30.

Abstract

Introduction: The aim of this study is to explore the relationship of neutrophil, platelet and eosinophil-to-lymphocyte ratios and red blood cell distribution width values with nasal polyposis, and whether this could be a predictive parameter that can be used for the severity and recurrence risk of the disease.

Method: Neutrophil/lymphocyte, platelet/lymphocyte, eosinophil/lymphocyte ratios and red blood cell distribution width values were compared between nasal polyposis patients who were reviewed in a retrospective manner and the control group comparable for age and sex. Moreover, the nasal polyposis group was grouped for nasal polyposis severity and recurrence, and these subgroups were statistically compared, too.

Results: When the nasal polyposis patient group and the control group are compared, no statistically significant difference was found between two groups except for eosinophil/lymphocyte ratio. While only the difference between nasal polyposis severity and eosinophil/lymphocyte ratio is statistically significant, there was no parameter with statistically significant difference for recurrence.

Conclusion: We think that caution should be exercised when using these new hematological parameters which can be affected by many factors for the presence, severity and recurrence risk of nasal polyposis, and literature data should be proven by conducting different and objective studies on this subject.

Keywords: Eosinophil; Inflammation; Lymphocyte; Nasal polyp; Neutrophil; Red blood cell distribution width; Thrombocyte.

MeSH terms

  • Adult
  • Erythrocyte Count*
  • Female
  • Humans
  • Leukocyte Count*
  • Lymphocytes / pathology*
  • Male
  • Nasal Polyps / blood*
  • Nasal Polyps / diagnosis*
  • Nasal Polyps / pathology
  • Neutrophils / pathology*
  • Platelet Count*
  • Recurrence
  • Retrospective Studies
  • Severity of Illness Index