Assessing the Diagnostic Value of Mean Monocyte Volume and Hematological Parameters in Predicting Dengue Fever
Author Information
Author(s): Muacevic Alexander, Adler John R, Ismail Nor Hayati, Siddig Alaa, Ab Aziz Nor Azah Farhah, Ramli Marini, Zulkafli Zefarina, Johan Muhammad Farid, Hassan Siti Asma, Bahar Rosnah, Mohd Noor Noor Haslina, Shafini Mohamed Yusoff
Primary Institution: Department of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS
Hypothesis
This study aims to evaluate the potential of mean monocyte volume (MMV) as a diagnostic marker for dengue fever (DF) and compare its performance with other hematological parameters.
Conclusion
The study findings indicate that monocyte percentage and MMV outcomes are insufficient for predicting dengue fever, suggesting potential areas for further research.
Supporting Evidence
- A total of 108 patients tested positive for dengue fever, while 54 tested negative.
- Significant differences in WBC count, platelet count, and monocyte percentage were observed between patients with dengue fever and non-dengue fever.
- Monocyte percentage exhibited the largest area under the curve (0.715), indicating its potential as a moderate predictor for diagnosing dengue fever.
Takeaway
The study looked at blood tests to see if they could help doctors tell if someone has dengue fever, but found that the tests weren't very good at doing that.
Methodology
This cross-sectional study enrolled 162 patients with suspected dengue fever symptoms and confirmed diagnoses through dengue immunoglobulin M (IgM) capture enzyme-linked immunosorbent assay (ELISA) or Dengue Early ELISA for NS1 antigen detection.
Limitations
The study found that MMV exhibited insufficient discriminative power in differentiating DF patients from those with other febrile illnesses or non-DF conditions.
Participant Demographics
Patients aged 17 years and above, encompassing all races and genders, were included, while those with underlying hematological disorders or confirmed alternative sources of infection were excluded.
Statistical Information
P-Value
<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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