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Year:
2022 |
Month:
October
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Volume:
11 |
Issue:
4 |
Page:
PO13 - PO18 |
Analysis of Haematological Parameters of Peripheral Blood in COVID-19 Patients with a Special Emphasis on D-dimer
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Correspondence
Parameswaran Sakthidasan Chinnathambi, Tholem Sripriya, Gvrn Krishnakanth, Parameswaran Sakthidasan Chinnathambi,
Flat No: 202, 2nd Floor, Adarsh Elite II Apartments, Plot No: 43, Prakash Nagar, Begumpet, Hyderabad, Telangana, India.
E-mail: sakthidasanmbbs@gmail.com :
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Introduction: Coronavirus Disease-2019 (COVID-19) is assessed by nasal/throat swab test, and further confirmed by Polymerase Chain Reaction (PCR) technique, albeit the day-to-day monitoring of COVID-19 patients depends largely on biochemical and haematological tests. There are differing results by various studies with respect to haematological parameters in COVID-19 infection.
Aim: To analyse the haematological parameters in peripheral blood samples of COVID-19 patients with a special emphasis on D-dimer.
Materials and Methods: A prospective study was conducted on 75 COVID-19 patients, for six months from August 2020 to January 2021 in Department of Pathology, ESIC Medical College Sanath Nagar, Hyderabad, Telangana, India after obtaining ethical clearance from Institutional Ethical Committee. Patient blood samples were evaluated for complete haemogram, coagulation parameters, followed by correlation with various categories of D-dimer levels. Following demographic assessment, the patient data was then stratified into four distinct categories based on D-dimer levels. Pearson’s correlation test was used to analyse the correlation of D-dimer and fibrinogen levels with various haematological parameters. Stratification analysis of D-dimer categories with haematological parameters were assessed with respect to mean, standard deviation, median and interquartile range, significance (p-value) of which was calculated using Kruskall wallis test. A p-value of <0.05 was considered to be statistically significant.
Results: Total 29 patients (38.7%) belonged to age range of 31-50 years category. Sixteen patients had normal D-dimer levels, 18 had mild elevation, moderately elevated D-dimer levels was noted in 26 patients, followed by 15 patients who had a severe elevation of D-dimer. Changes in Haemoglobin (Hb), Red Blood Cells (RBC) count and haematocrit were found to be significantly correlated with D-dimer levels, with p-values of 0.006, 0.021 and 0.010, respectively. Changes in Neutrophil (N) count, absolute Lymphocyte counts (L) and N:L ratio were also found to be statistically correlated (p-values 0.032, 0.011, 0.001 respectively) with D-dimer levels.
Conclusion: Assessment of haematological parameters can be a valuable tool in finding the severity of COVID-19 infection, thereby helping the clinicians in triaging, and treating the COVID-19 patients.
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