Pro- and anti-inflammatory cytokines signatures at different severity of dengue infection
Dengue disease severity and progression are determined by the host immune response, with both pro- and anti-inflammatory cytokines are key mediators. To study pro- and anti-inflammatory cytokines across dengue severity and as a biomarker for predicting severe dengue infection. Hospital-based cross-s...
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Veröffentlicht in: | Journal of family medicine and primary care 2024-05, Vol.13 (5), p.1975-1982 |
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Sprache: | eng |
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Zusammenfassung: | Dengue disease severity and progression are determined by the host immune response, with both pro- and anti-inflammatory cytokines are key mediators.
To study pro- and anti-inflammatory cytokines across dengue severity and as a biomarker for predicting severe dengue infection.
Hospital-based cross-sectional study was conducted on 125 dengue-positive subjects across the 5-60 years age group of either gender in 2022.
Haematological parameters and blood samples were drawn to measure cytokines IL6, IL-10 and TNF alpha using the ELISA technique.
One-way ANOVA and the Kruskal - Wallis test were used to compare the dependent variables across categories of the dengue spectrum. Receiver operating characteristic curve was drawn to calculate the predictability of the cytokines as a predictor of severe dengue. A
< 0.05 was considered significant.
34.4% of cases had severe dengue infection with 53.2% of severe cases reported in >40 years of age. Only IL-6 levels significantly increased (
< 0.01) across the spectrum of dengue infection across age groups >20 years with a consistent and significant fall in platelet levels (
< 0.01). The accuracy of IL-6 to predict severe dengue was 74.4% and platelet count was 16.2%.
Only IL-6 cytokine levels were significantly increased across the spectrum of dengue infection observed in age >20 years and can significantly predict the probability of severe dengue by 74% (sensitivity 81.4%). A significant decrease in platelet values is consistent with the severity but is not a good predictor for severe dengue infection. |
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ISSN: | 2249-4863 2278-7135 |
DOI: | 10.4103/jfmpc.jfmpc_1576_23 |