Original Article
Author Details :
Volume : 11, Issue : 4, Year : 2024
Article Page : 371-376
https://doi.org/10.18231/j.ijpo.2024.080
Abstract
Background: Timely and accurate diagnosis of dengue fever is essential for both efficient treatment and prevention of severe symptoms. Investigating hematological and serological markers for dengue virus infection is the goal of the current investigation.
Materials and Methods: A laboratory-based cross-sectional study was carried out among patients who visited SVP Hospital in Ahmedabad, Gujarat, between January 2022 and December 2023. Hematological parameters were assessed and blood samples from suspected dengue cases were analyzed using the rapid diagnostic immunochromatography (ICT) approach. Continuous variables were compared between groups infected with dengue and those that were not using the Mann-Whitney U test. A binary logistic regression analysis was performed to evaluate the correlation between dengue positive and other factors.
Result: Dengue-positive participants showed low mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC), thrombocytopenia, leucopenia, erythrocytosis, and high hemoconcentration in comparison to dengue-negative people. On the other hand, dengue positivity was significantly predicted by platelet count, total leucocyte count, MCH, MCHC, neutrophil count, and lymphocyte count, according to binary logistic regression.
Conclusion: The features and demographics of dengue-positive cases were determined in this investigation, along with their associations with hematological markers. Moreover, by helping medical professionals diagnose and treat dengue patients faster, the discovered predictive indicators can lessen the disease's effects.
Keywords: Dengue, Hematology parameters, Thrombocytopenia.
How to cite : Bhojani P L, Jahveri P, Patel K, Mishara S, Dengue virus: Investigate serological and hematological indicators for predictions. Indian J Pathol Oncol 2024;11(4):371-376
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Received : 08-05-2024
Accepted : 27-06-2024
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