PLoS Neglected Tropical Diseases (Sep 2017)

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

  • Bei Jia,
  • Xiaomin Yan,
  • Yuxin Chen,
  • Guiyang Wang,
  • Yong Liu,
  • Biyun Xu,
  • Peixin Song,
  • Yang Li,
  • Yali Xiong,
  • Weihua Wu,
  • Yingying Hao,
  • Juan Xia,
  • Zhaoping Zhang,
  • Rui Huang,
  • Chao Wu

DOI
https://doi.org/10.1371/journal.pntd.0005909
Journal volume & issue
Vol. 11, no. 9
p. e0005909

Abstract

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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.