Mohammed Fabin, Jayakrishnan Jayakumar, Swathy Shanker,
Volume 18, Issue 4 (7-2024)
Abstract
Background: Diabetes Mellitus (DM) is a metabolic disorder whose pathophysiology has been linked to various genetic and environmental factors. The main mechanism of the development of complications has been implicated as inflammation-mediated. Various blood cell parameters are being used as early indicators of inflammation-mediated endothelial dysfunction; thereby predicting the severity or prognosis of DM. In this study, we aimed to evaluate the role of platelet-to-lymphocyte ratio (PLR) in predicting glycemic control in patients with DM.
Methods: This is a retrospective, hospital-based study conducted from August 2023 to December 2023. A total of 134 patients were included in the study. The hematological and biochemical reports of the study population were retrieved, and the data obtained was analyzed using SPSS software version 16.0.
Results: In this study, it has been found that PLR is significantly increased in patients suffering from DM with poor glycemic control compared to those patients with good glycemic control (P<0.001). In concordance with other studies, a positive association was observed between PLR and disease severity.
Conclusion: Based on the findings of the study, PLR may be used as a predictive marker in assessing the severity and prognosis of DM; however, the exact cut-off value is yet to be determined.
Dr Priyadarshini Kumaraswamy Rajeswaran, Dr Preethi Muthusamy Sundar, Dr Prasanna Nedungadi Kumar, Dr Karthikeyan Shanmugam,
Volume 19, Issue 2 (3-2025)
Abstract
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.
