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

PLoS Negl Trop Dis. 2017 Sep 21;11(9):e0005909. doi: 10.1371/journal.pntd.0005909. eCollection 2017 Sep.

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.

MeSH terms

  • Adult
  • Aged
  • Bunyaviridae Infections / diagnosis*
  • Bunyaviridae Infections / pathology*
  • Bunyaviridae Infections / virology
  • China
  • Decision Support Techniques*
  • Female
  • Hospitals
  • Humans
  • Male
  • Middle Aged
  • Phlebovirus / isolation & purification
  • Prognosis
  • Sensitivity and Specificity
  • Thrombocytopenia / diagnosis*
  • Thrombocytopenia / pathology*
  • Thrombocytopenia / virology

Grants and funding

The study was funded by the National Natural Science Foundation of China (81470093 and 81672025), Jiangsu Province’s Outstanding Medical Academic Leader Program (LJ201154), Jiangsu Province’s Clinical Medicine and Technology Special Program (BL2012034) and Natural Science Foundation of Jiangsu Province for Young Scholar (BK20160121).The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.