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A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome.


ABSTRACT: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging epidemic infectious disease caused by the SFTS bunyavirus (SFTSV) with an estimated high case-fatality rate of 12.7% to 32.6%. Currently, the disease has been reported in mainland China, Japan, Korea, and the United States. At present, there is no specific antiviral therapy for SFTSV infection. Considering the higher mortality rate and rapid clinical progress of SFTS, supporting the appropriate treatment in time to SFTS patients is critical. Therefore, it is very important for clinicians to predict these SFTS cases who are more likely to have a poor prognosis or even more likely to decease. In the present study, we established a simple and feasible model for assessing the severity and predicting the prognosis of SFTS patients with high sensitivity and specificity. This model may aid the physicians to immediately initiate prompt treatment to block the rapid development of the illness and reduce the fatality of SFTS patients.

SUBMITTER: Jia B 

PROVIDER: S-EPMC5626493 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome.

Jia Bei B   Yan Xiaomin X   Chen Yuxin Y   Wang Guiyang G   Liu Yong Y   Xu Biyun B   Song Peixin P   Li Yang Y   Xiong Yali Y   Wu Weihua W   Hao Yingying Y   Xia Juan J   Zhang Zhaoping Z   Huang Rui R   Wu Chao C  

PLoS neglected tropical diseases 20170921 9


Severe fever with thrombocytopenia syndrome (SFTS) is an emerging epidemic infectious disease caused by the SFTS bunyavirus (SFTSV) with an estimated high case-fatality rate of 12.7% to 32.6%. Currently, the disease has been reported in mainland China, Japan, Korea, and the United States. At present, there is no specific antiviral therapy for SFTSV infection. Considering the higher mortality rate and rapid clinical progress of SFTS, supporting the appropriate treatment in time to SFTS patients i  ...[more]

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