Observational studyScientific reports2025
Role of soluble interleukin-2 receptor (sIL-2R) as a predictor for severe dengue infection.
Observational study in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Serum sCD25 predicts mortality and reflects IL-2-driven dysregulation of CD4⁺CD25⁺ T cells in severe fever with thrombocytopenia syndrome.Tropical medicine and health · 2026Article
- Clinical features and laboratory indicators of dengue infection in China: a retrospective study of adult patients in a hospital of traditional Chinese medicine.Frontiers in medicine · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Annually, around half a million people with severe dengue require hospitalization, all over the globe, with around 12,500 (2.5%) succumbing to the illness. In this prospective observational study, we recruited 74 patients with dengue infection, 28 had severe dengue and 46 had dengue with warning signs. sIL-2R levels were significantly raised in the severe dengue group, compared to the warning signs group. Using an ROC curve (receive operator characteristic), at a cutoff of 5.379 ng/ml, it predicted the severe dengue classification with a p-value of < 0.001. As a marker for predicting hemophagocytic lymphohistiocytosis (HLH), the ROC curve revealed a cutoff of ≥ 5.379 ng/ml for sIL-2R levels with the AUROC being 0.83, suggesting a strong diagnostic performance(p-value < 0.001). sIL-2R levels can be used for predicting severe dengue classification with moderate sensitivity and specificity. Secondary HLH is an under-reported entity in dengue infection and early surveillance with the help of sIL-2R may be helpful in-patient care management.
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