Related Experiment Video
Updated: May 29, 2025
Protocol for Dengue Infections in Mosquitoes A. aegypti and Infection Phenotype Determination
Published on: July 4, 2007
Cell Population Data Parameters in Dengue-Is There Any Significance? A Single-Center Study
Jawad Hassan1,2, Sarah Javed2, Shakir Ahmed1
1Department of Hematology Laboratory, National Institute of Blood Disease and Bone Marrow Transplantation (NIBD), Karachi, Pakistan.
Insights
Cell population data parameters (CPD) from Sysmex XN analyzers can help differentiate dengue infections. High Fluorescence Lymphocyte Count (HFLC) showed promise as a rapid diagnostic tool for dengue fever, aiding in prompt clinical management.
Area of Science:
- Hematology
- Infectious Diseases
- Clinical Diagnostics
Background:
- Dengue fever is a significant global health concern, particularly in tropical regions.
- Accurate and rapid diagnosis is crucial for effective patient management and preventing complications.
- Existing diagnostic methods may have limitations in speed or accessibility.
Purpose of the Study:
- To evaluate the diagnostic utility of cell population data (CPD) parameters obtained from Sysmex XN hematology analyzers in identifying dengue-positive individuals.
- To determine if specific CPD parameters can serve as reliable indicators for dengue infection.
Main Methods:
- A retrospective cross-sectional study involving 389 febrile patients was conducted.
- Complete Blood Count (CBC) including 65 CPD parameters was analyzed using Sysmex XN hematology analyzers.
- Statistical analysis, including logistic regression and ROC curves, was employed to assess parameter significance.
Main Results:
- Out of 389 patients, 137 were diagnosed with dengue.
- Seven CPD parameters (WBC, PLT-F, NEUT, LYMP, MONO, HFLC, LY-WY) showed statistically significant differences between dengue-positive and negative groups.
- High Fluorescence Lymphocyte Count (HFLC) emerged as a key distinguishing parameter for dengue infection.
Conclusions:
- Sysmex XN hematology analyzers provide valuable CPD parameters for differentiating dengue from other febrile illnesses.
- HFLC and other identified CPD parameters show potential as rapid, adjunctive diagnostic tools for dengue.
- Further research is recommended to validate these findings and enhance clinical application in dengue management.
Objective:
To assess the significance of cell population data parameters (CPD) in dengue positive individuals.
Methodology:
A retrospective cross-sectional study was conducted at the National Institute of Blood Disease and Bone Marrow Transplantation (NIBD and BMT), Karachi, Pakistan from July 2022 to September 2022 (in a period of 3 months of peak dengue fever outbreak). Dengue fever is a viral infection that is transmitted from mosquitoes to humans. It is more prevalent in tropical and subtropical environments. A total of 389 individuals, who presented with febrile illness at the NIBD clinics, were screened for dengue and malaria with Complete Blood Count (CBC), Dengue nonstructural protein 1 (NS1) antigen test and Malaria Parasite Immunochromatographic test (MP-ICT). Whole blood samples were collected and analyzed for CBC on Sysmex XN hematology analyzers. All 65 CPD and standard CBC parameters were analyzed. Statistical analysis was performed using SPSS version 25.0. Descriptive analysis of all the parameters was performed and a p value < 0.001 was considered significant. Positive and negative correlation was also evaluated within the parameters to assess their significance. Furthermore, cut-off values of CPD parameters were evaluated plotting their receiver operating characteristic (ROC) curves.
Results:
Out of the 389 febrile patients, 137 were diagnosed as dengue-positive. Descriptive analysis for mean and median values of parameters revealed statistically significant difference for seven parameters (namely WBC, PLT-F, NEUT, LYMP, MONO, HFLC, and LY-WY) in the comparison of the two groups which were then further assessed for positive and negative correlation. Multivariate logistic regression analysis revealed High Fluorescence Lymphocyte Count (HFLC) to be the distinguishing parameter among dengue positive and negative cases. Compared to all the CPD parameters of our data set, the area under curve for lymphocytes cell size and the width of dispersion (LY-WZ) displayed a borderline value of 0.582.
Conclusion:
Sysmex XN hematology analyzers can provide extensive information about CPD parameters, allowing for the prompt differentiation among febrile illnesses and dengue infection. HFLC and other significant parameters demonstrate promise as rapid, adjunctive diagnostic tools. Further research is needed to validate these findings and optimize the clinical utility of CPD parameters in dengue management.
More Related Videos
07:06A Simple Flow Cytometry Based Assay to Determine In Vitro Antibody Dependent Enhancement of Dengue Virus Using Zika Virus Convalescent Serum
Published on: April 10, 2018
08:36Measuring Dengue Virus RNA in the Culture Supernatant of Infected Cells by Real-time Quantitative Polymerase Chain Reaction
Published on: November 1, 2018