Biomedical and Biotechnology Research Journal (Jan 2022)

Correlation between platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio with hematological parameters in multiple myeloma patients

  • Akanksha Ashok Kalal,
  • Vijith Vittal Shetty,
  • Kailkere Padma Shetty,
  • Meenakshi Arumugam,
  • Reshma Arun Shetty,
  • Nagaraj Venkatesh Kulkarni,
  • Deyyenthody Prashanth Shetty

DOI
https://doi.org/10.4103/bbrj.bbrj_275_21
Journal volume & issue
Vol. 6, no. 1
pp. 132 – 137

Abstract

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Background: Multiple myeloma (MM) is a malignant neoplasm of clonal plasma cells. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are prognostic factors and biomarkers of systemic inflammation. The aim of this study was to determine a correlation between NLR, PLR, and hematological parameters in patients with MM. Methods: The clinical data of 50 MM patients were collected from hospital medical records. NLR and PLR were calculated from data obtained from clinical records. Results: The median age was 60 years at diagnosis. The study cohort was divided into two groups based on cutoff points taken from previously published data (NLR: 2.56 and PLR: 157). Erythrocyte sedimentation rate, blood urea, uric acid, platelet count, and absolute neutrophil count were higher in patients with high NLR than in patients with low NLR. A significant association between NLR and blood urea was seen (P < 0.0018). Pearson's correlation analysis revealed a strong positive correlation for blood urea and NLR, uric acid and NLR, and blood urea and PLR. Conclusion: Thus, combined applications of NLR and PLR could be used as a cost-effective diagnostic predictor of MM patients.

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