Neutrophil Lymphocyte Ratio, Monocyte Lymphocyte Ratio, Platelet Lymphocyte Ratio in Covid-19 Patients

Clinical Laboratory
|March 7, 2022
PubMed

Insights

Routine blood tests can help predict COVID-19 severity. Key ratios like neutrophil-to-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), and platelet-lymphocyte ratio (PLR) show significant diagnostic value for patient outcomes.

Area of Science:

  • Hematology
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • COVID-19 is a highly contagious viral infection with significant pathogenicity.
  • Understanding early hematological changes is crucial for diagnosing and managing COVID-19.
  • Preliminary hematological findings at admission may offer diagnostic insights into disease severity.

Purpose of the Study:

  • To evaluate the diagnostic value of hematological parameters in COVID-19 patients.
  • To determine the relationship between hematological findings and disease severity.
  • To assess the prognostic potential of routine blood tests in COVID-19.

Main Methods:

  • Retrospective analysis of 169 confirmed COVID-19 patients (ward vs. ICU) and 67 controls.
  • Comparison of admission hematological parameters including Neutrophil-to-Lymphocyte Ratio (NLR), Monocyte-Lymphocyte Ratio (MLR), Platelet-Lymphocyte Ratio (PLR), and MPV/PLT.
  • Statistical analysis including ROC analysis to determine diagnostic significance.

Main Results:

  • ICU patients exhibited significantly higher NLR, MLR, PLR, and MPV/PLT compared to ward patients (p < 0.001).
  • Lower lymphocyte counts and hemoglobin levels were observed in ICU patients versus ward patients (p < 0.001).
  • NLR, MLR, PLR, and MPV/PLT demonstrated statistically significant diagnostic values (p < 0.05).

Conclusions:

  • Abnormal routine peripheral blood counts are common in COVID-19 patients.
  • NLR, MLR, and PLR serve as reliable biomarkers for assessing COVID-19 severity and clinical classification.
  • Accessible hemogram parameters at admission are important for predicting COVID-19 prognosis.
Abstract