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November 23, 2025Annals of MedicineOpen Access

A prediction model to discriminate severe fever with thrombocytopenia syndrome with hemorrhagic fever with renal syndrome

Xiaoyu Xue Xiaolei Wang Wenjing Niu Zhouling Jiang Kehang Liu Ling Lin Jianping Duan Zhihai Chen

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Key Points

Model predicts severe fever with thrombocytopenia syndrome based on symptoms and CD4+ T cell counts.
Key metrics include changes in WBC, with differing levels noted for hemorrhagic fever with renal syndrome.
Analysis utilized clinical predictors like headache and hemorrhage symptoms to improve diagnostic accuracy.
Further external validation is needed for the prediction model to enhance clinical applicability.

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Implication

Analysis predicts severe fever with thrombocytopenia syndrome using CD4+ T cells and WBC counts, highlighting diagnostic potential.

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Cite This Study

Xue et al. (2025) studied this question.

synapsesocial.com/papers/6928f11ba65b730b9ea7a19a https://doi.org/10.1080/07853890.2025.2589563

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