A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome.
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...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2017-09-01
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| Series: | PLoS Neglected Tropical Diseases |
| Online Access: | http://europepmc.org/articles/PMC5626493?pdf=render |
| _version_ | 1818015899425177600 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Bei Jia |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T07:04:15Z |
| format | Article |
| id | doaj.art-0444bef05c364c6faac0beffcf9afbdc |
| institution | Directory Open Access Journal |
| issn | 1935-2727 1935-2735 |
| language | English |
| last_indexed | 2024-04-14T07:04:15Z |
| publishDate | 2017-09-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Neglected Tropical Diseases |
| spelling | doaj.art-0444bef05c364c6faac0beffcf9afbdc2022-12-22T02:06:37ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352017-09-01119e000590910.1371/journal.pntd.0005909A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome.Bei JiaXiaomin YanYuxin ChenGuiyang WangYong LiuBiyun XuPeixin SongYang LiYali XiongWeihua WuYingying HaoJuan XiaZhaoping ZhangRui HuangChao WuSevere 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.http://europepmc.org/articles/PMC5626493?pdf=render |
| spellingShingle | 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 A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome. PLoS Neglected Tropical Diseases |
| title | A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome. |
| title_full | A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome. |
| title_fullStr | A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome. |
| title_full_unstemmed | A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome. |
| title_short | A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome. |
| title_sort | scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome |
| url | http://europepmc.org/articles/PMC5626493?pdf=render |
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