Platelet-Lymphocyte Ratio Dynamics and Severity Correlation in COVID-19: Insights from Platelet Count Variations

Authors

  • Sunia Qasuria Khan Ayub Teaching Hospital, Abbottabad, Pakistan
  • Muhammad Kaleem Khan BBS Teachinng Hospital/Women Medical College Abbottabad, Pakistan
  • Yasar Mehmood Yousafzai Khyber Medical University, Peshawar, Pakistan
  • Dure Nayab Hayatabad Medical Complex, Peshawar, Pakistan
  • Dure Zara Galway University Hospital Ireland, 
  • Ikramullah Ayub Teaching Hospital Abbottabad, Pakistan
  • Anila Farid Abbottabad International Medical College, Abbottabad, Pakistan

DOI:

https://doi.org/10.52206/jsmc.2025.15.1.1000

Abstract

Background: COVID-19, driven by the novel β-Coronavirus, significantly affects hematological parameters. Platelet count, Platelet-Lymphocyte and Neutrophil-Lymphocyte Ratios have been recommended as potential signs of disease severity. This study aimed to evaluate the relationship between platelet count, PLR, and the severity of COVID-19 in hospitalized patients.
Objective: To assess the association of Platelet-Lymphocyte Ratios, platelet count, and disease severity in hospitalized COVID-19 patients and determine their potential as prognostic markers.
Materials and Methods: In this prospective study, 66 hospitalized COVID-19 patients were included. Diagnosis was confirmed through PCR or high-resolution CT scans. Exclusion criteria included bacterial or other viral infections. Hematological parameters, including platelet count, PLR, NLR, and absolute lymphocyte count, were measured at admission and during hospitalization. Data analysis was conducted using SPSS version 20, employing descriptive statistics, chi-square tests, ROC curve analysis, and Cox regression as well.
Results: The study population consisted of 41 males (62%) and 25 females (38%), with an average age of 60 years.The mean platelet count was 273.85 ± 108.53 x 10^9/L, and the mean PLR was 318.90 ± 162.64. ROC curve analysis showed that platelet count and PLR predicted favorable outcomes (AUC 0.661 and 0.574), while NLR and lymphocyte count predicted poor outcomes (AUC 0.821 and 0.506). Cox regression revealed a significant association between NLR and mortality (HR 1.052, p < 0.05).
Conclusion: Platelet count and PLR serve as valuable indicators for predicting COVID-19 consequences using lower platelet counts and higher PLR indicating more severe disease. NLR shows a strong correlation with deaths and may serve as a crucial predictor of severe COVID-19 cases.
Keywords: COVID-19, Cytokine storm, Lymphocytes, Platelets, Severity.

Author Biographies

Sunia Qasuria Khan, Ayub Teaching Hospital, Abbottabad, Pakistan

   

Muhammad Kaleem Khan, BBS Teachinng Hospital/Women Medical College Abbottabad, Pakistan

   

Yasar Mehmood Yousafzai, Khyber Medical University, Peshawar, Pakistan

   

Dure Nayab, Hayatabad Medical Complex, Peshawar, Pakistan

   

Dure Zara, Galway University Hospital Ireland, 

   

Ikramullah, Ayub Teaching Hospital Abbottabad, Pakistan

   

Anila Farid, Abbottabad International Medical College, Abbottabad, Pakistan

 

 

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Additional Files

Published

29-01-2025

How to Cite

1.
Khan SQ, Khan MK, Yousafzai YM, Nayab D, Zara D, Ikramullah, Farid A. Platelet-Lymphocyte Ratio Dynamics and Severity Correlation in COVID-19: Insights from Platelet Count Variations. J Saidu Med Coll [Internet]. 2025 Jan. 29 [cited 2025 May 13];15(1):76-81. Available from: http://jsmc.pk/index.php/jsmc/article/view/1000