Abstract

: Early and accurate diagnosis of dengue is critical for prompt treatment and avoiding severe complications. Thus, the present study aimed to evaluate the serological and hematological parameters for predicting the dengue virus infection. : A laboratory-based cross-sectional study was conducted among the patients who visited Sumeru Hospital, Lalitpur, Nepal, from July 2022 to June 2023. Blood samples were collected from suspected dengue cases and tested using the rapid diagnostic immunochromatography (ICT) method, and hematological parameters were also assessed. The Mann-Whitney U test compared continuous variables between dengue-infected and non-infected groups. A binary logistic regression analysis was done to evaluate the association of variables for dengue positivity.: When compared to dengue-negative cases, dengue-positive cases had thrombocytopenia, leucopenia, erythrocytosis, high hemoconcentration, low mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC). However, binary logistic regression predicted platelet count, total leucocyte count, MCH, MCHC, neutrophil count and lymphocyte count as significant predictors of dengue positivity.: This study revealed the characteristics and demographics of dengue-positive cases and their associations with hematological parameters. Furthermore, the identified predictive markers can help healthcare professionals diagnose and manage dengue cases more promptly, potentially reducing the disease's burden.

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