Open AccessA scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome
Author(s) -
Bin Jia,
Xiaomin Yan,
Yuxin Chen,
Guiyang Wang,
Yong Liu,
Biyun Xu,
Peixin Song,
Li Yang,
Ye Xiong,
Weihua Wu,
Yingying Hao,
Juan Xia,
Zhaoping Zhang,
Rui Huang,
Chao Wu
Publication year - 2017
Publication title -
plos neglected tropical diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.99
H-Index - 135
eISSN - 1935-2735
pISSN - 1935-2727
DOI - 10.1371/journal.pntd.0005909
Subject(s) - severe fever with thrombocytopenia syndrome , case fatality rate , medicine , phlebovirus , emerging infectious disease , mortality rate , disease , intensive care medicine , epidemiology , immunology , virus , bunyaviridae
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.