Showing 3 results for Neutrophil
Harsha Jaykar, Mangala Nagare, Gauri Bhat,
Volume 16, Issue 6 (11-2022)
Abstract
Background and objectives: Coronavirus disease 2019 (COVID-19) is a communicable disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The clinical manifestations of COVID-19 vary from asymptomatic to acute respiratory distress syndrome. In severely-ill patients, neutrophil count is significantly increased. This study aimed to evaluate absolute neutrophil count (ANC) in patients with COVID-19 and healthy individuals.
Methods: This retrospective, cross-sectional study was carried out on patients admitted to the outpatient department of OBGY Rural Hospital (Maharashtra, India) from April 2021 to June 2021. A peripheral venous blood sample (3 ml) was taken from 143 patients with COVID-19 and 143 healthy controls. The blood samples were analyzed using a fully automated blood cell counter for the estimation of complete blood count. A peripheral blood smear was prepared and stained with Leishman stain for evaluation of morphological changes.
Results: The ANC of COVID-19 patients was significantly higher than that of healthy control subjects (p=0.00001). Toxic granules (48.9%) were the most common morphological neutrophil abnormality, followed by hypolobation, hypogranulation, Pseudo-Pelger-Huet anomaly (20.9%), and shift to left with the presence of immature myeloid series cells.
Conclusion: High ANC along with morphological changes in neutrophils could be used as a simple and inexpensive surrogate marker of COVID-19 and its severity.
Ifrah Jan, Rafiqa Eachkoti, Iqra Farooq, Sanah Farooq, Sadaf Saleem, Sabhiya Majid ,
Volume 18, Issue 1 (1-2024)
Abstract
Background: The complete blood count (CBC) profile has been found extremely useful in monitoring the growth of SARS-CoV-2 infection; however, predictive CBC parameters that could be used in the management of the disease may vary in different populations.
Methods: This study comparatively analyzed the CBC profile of SARS-CoV-2 patients (N = 75; confirmed positive by real-time polymerase chain reaction [PCR]) and healthy individuals (confirmed negative by real-time PCR) from Kashmir (north India).
Results: Compared with healthy individuals, most of the CBC parameters (hemoglobin levels [13.43 vs 10.9 g/dL; P = 0.0001], lymphocytes [16.04% vs 30.8%; P = 0.00001], monocytes [5.53% vs 7.53%; P = 0.009], and platelet count [150 vs 186 ×103 µL; P = 0.037]) were significantly low in SARS-CoV-2 infected patients, while neutrophilia was more common in infected patients (76.77% vs 59.26%). Among derived parameters, the neutrophil-to-lymphocyte ratio (NLR; 7.31 vs 2.04; P = 0.001) and derived NLR (d-NLR; 4.43 vs 1.5; P = 0.0002) were significantly high in SARS-CoV-2 patients. Further correlation analysis revealed a significant association of neutrophilia with the severity of the disease in SARS-CoV-2 infected patients. Moreover, receiver operating characteristic (ROC) analysis of derived CBC parameters (NLR, d-NLR, and platelet‐to-lymphocyte ratio [PLR] with disease severity and disease outcome) revealed d-NLR as better predictive marker of disease severity (area under the curve [AUC] = 0.658) and disease outcome (AUC = 0.766) compared to PLR with disease severity (AUC = 0.645) and disease outcome (AUC = 0.693).
Conclusion: We therefore conclude, of the CBC parameters neutrophilia as the marker of disease severity and among derived parameters, d-NLR as an early predictive biomarker of both disease severity and poor disease outcome in SARS-CoV-2 patients.
Subaida Adalam Kunnath, Anandan Kalarikal Raghavan, Feroze Moosa , Aneesha Asok Kumar ,
Volume 19, Issue 5 (9-2025)
Abstract
Background: COVID-19 is a global pandemic caused by Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2). Various clinical and hematological findings have been identified that can predict disease severity. This study aims to investigate the roles of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-platelet ratio (NPR) in predicting the severity of COVID-19 infection.
Methods: In this analytical cross-sectional single-center study, after obtaining Ethics Committee clearance, patients with laboratory-confirmed COVID-19 infection admitted during their first two weeks of illness were included. NLR, PLR, and NPR were derived from the CBC reports. These ratios were compared in each clinical category group to assess the severity.
Results: The total number of cases was 160, with a mean age at diagnosis of 56 years. The proportion of males was slightly higher (54.4%) than that of females (45.6%). The proportion of Category C patients (66.9%) was higher than that of Category B (25%) and Category A (8.1%) patients. It was found that NLR, PLR, and NPR ratios had a statistically significant association with severe COVID-19 infection, suggesting they can be used to differentiate between Category C and Category A or B. NLR is a better predictor of the severity of COVID-19 disease than PLR and NPR.
Conclusion: NLR, PLR, and NPR ratios can serve as predictive markers of disease severity in COVID-19 infections. Among these ratios, NLR has the highest predictive value for disease deterioration.
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