Comparison Between Haematological Parameters and Clinical Disease Severity in Covid-19 Infection Patients at a Tertiary Care Diagnostic Centre in Pakistan

Intzar Ali; Helen Mary Robert; Komal Andleeb; Noman Anjum Rana; Sumaira Ilyas; Muhammad Shahid

doi:10.51253/pafmj.v74i3.9859

Authors

Intzar Ali Department of Haematology, Combined Military Hospital /National University of Medical Sciences (NUMS) Lahore Pakistan
Helen Mary Robert Department of Haematology, Combined Military Hospital /National University of Medical Sciences (NUMS) Lahore Pakistan
Komal Andleeb Department of Psychiatry, Combined Military Hospital /National University of Medical Sciences (NUMS) Lahore Pakistan
Noman Anjum Rana Department of Haematology, Combined Military Hospital /National University of Medical Sciences (NUMS) Lahore Pakistan
Sumaira Ilyas Department of Haematology, Combined Military Hospital /National University of Medical Sciences (NUMS) Lahore Pakistan
Muhammad Shahid Department of Medicine, Combined Military Hospital /National University of Medical Sciences (NUMS) Lahore Pakistan

DOI:

https://doi.org/10.51253/pafmj.v74i3.9859

Keywords:

COVID-19, Haematological parameters, Total WBC count

Abstract

Objective: To determine the comparison between haematological parameters and clinical disease severity in patients with COVID-19 infection at a Tertiary Care Hospital in Pakistan.

Study Design: Cross-sectional study.

Place and Duration of Study: Pathology Department of the Armed Forces Institute of Pathology, Rawalpindi Pakistan, from Mar to Aug 2021.

Methodology: A total of 183 patients fulfilling the selection criteria were enrolled after taking written informed consent, and investigations to assess haematological parameters were carried out, such as the complete blood count, PT, APTT, and D-Dimers. The severity of the illness was determined according to the criteria set, and findings were recorded and subjected to statistical analysis.

Results: The mean age of the patients was 34.5410.12 years. Using blood tests, there was a strong link between the severity of the COVID-19 infection and the total WBC count (p=0.041), PCV (p=0.05), neutrophil count (p=0.02), lymphocyte count (p=0.001), eosinophil count (p=0.001), and D-Dimers (p=0.001).

Conclusion: Total WBC count, neutrophil, lymphocyte, eosinophil, and eosinophil count, as well as D-Dimers, were all strongly linked to how bad the condition was and can be used to predict how bad a COVID-19 infection will be early on.

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