Dengue virus: Investigate serological and hematological indicators for predictions

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. : 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. 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. : 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.

Authors

Publication Details

Journal
Indian Journal of Pathology and Oncology
Published
2024-12-12
DOI
https://doi.org/10.18231/j.ijpo.2024.080
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dengue virus: Investigate serological and hematological indicators for predictions

Priya Laljibhai Bhojani
Indian Journal of Pathology and Oncology
Mosquito-borne diseases and control
article

Dengue virus: Investigate serological and hematological indicators for predictions

Priya Laljibhai Bhojani
article en

Abstract

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. : 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. 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. : 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.

Indian Journal of Pathology and OncologyVol. 11(4)
Good health and well-being
Openalex Percentile: Top 65%
Mosquito-borne diseases and control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Dengue virus: Investigate serological and hematological indicators for predictions — Priya Laljibhai Bhojani · Indian Journal of Pathology and Oncology (2024) | TGRS Research Map | TGRS