Mon, Jul 21, 2025
Priyadarshini Kumaraswamy Rajeswaran1 
, Preethi Muthusamy Sundar2 , Prasanna Nedungadi Kumar2 , Karthikeyan Shanmugam2
, Preethi Muthusamy Sundar2 , Prasanna Nedungadi Kumar2 , Karthikeyan Shanmugam2
1- PSG Institute of Medical Sciences and Research , drpriyadarshini.kr@gmail.com
2- PSG Institute of Medical Sciences and Research
2- PSG Institute of Medical Sciences and Research
Abstract: (9 Views)
Background and Objectives: Several haematological indicators have been linked to the intensity and course of COVID-19 infection, including platelets, white blood cell total count, lymphocytes, neutrophils (as well as the neutrophil-lymphocyte and platelet-lymphocyte ratios), and hemoglobin. The purpose of this study was to assess the utility of cell population data (CPD) of lymphocytes and monocytes parameters in the early diagnosis of SARS-CoV-2 infection.
Methods: The baseline complete blood count examination for 222 patients with proven COronaVIrus Disease of 2019(COVID-19) (case group) and 161 patients with negative for COVID-19 investigations (control group). Lymphocyte and monocyte CPD were calculated in both the groups. The independent t-test was used to compare the mean values between the two groups Receiver operating characteristic analysis was performed to evaluate the discriminating capacity of the individual parameters.
Results: The analysis revealed that Standard Deviations of Monocyte Volume (SDMV) and Lymphocyte Conductivity (SDLC) showed highest significance in predicting SARS-CoV-2 infection. SDMV had a sensitivity of 93.7% and SDLC had a sensitivity of 80.6% at cut-off values of 22.25 and 10.9, respectively. In the case group, 49 of the 222 patients were treated in the intensive care unit showed higher SDMV when compared with the remaining 173 patients who were asymptomatic or mildly symptomatic (p-value <0.03).
Conclusion: Our study demonstrates that SDMV and SDLC can serve as reliable and cost-effective markers for early prediction of SARS-CoV-2 infection. Furthermore, SDMV shows potential as a prognostic biomarker. These findings highlight the potential utility of CPD parameters in COVID-19 diagnosis and prognosis.
Methods: The baseline complete blood count examination for 222 patients with proven COronaVIrus Disease of 2019(COVID-19) (case group) and 161 patients with negative for COVID-19 investigations (control group). Lymphocyte and monocyte CPD were calculated in both the groups. The independent t-test was used to compare the mean values between the two groups Receiver operating characteristic analysis was performed to evaluate the discriminating capacity of the individual parameters.
Results: The analysis revealed that Standard Deviations of Monocyte Volume (SDMV) and Lymphocyte Conductivity (SDLC) showed highest significance in predicting SARS-CoV-2 infection. SDMV had a sensitivity of 93.7% and SDLC had a sensitivity of 80.6% at cut-off values of 22.25 and 10.9, respectively. In the case group, 49 of the 222 patients were treated in the intensive care unit showed higher SDMV when compared with the remaining 173 patients who were asymptomatic or mildly symptomatic (p-value <0.03).
Conclusion: Our study demonstrates that SDMV and SDLC can serve as reliable and cost-effective markers for early prediction of SARS-CoV-2 infection. Furthermore, SDMV shows potential as a prognostic biomarker. These findings highlight the potential utility of CPD parameters in COVID-19 diagnosis and prognosis.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.