Literature DB >> 26542444

Epidemiological and clinical characteristics of severe fever with thrombocytopenia syndrome (SFTS) in China: an integrated data analysis.

C-T Guo1, Q-B Lu2, S-J Ding3, C-Y Hu1, J-G Hu1, Y Wo1, Y-D Fan1, X-J Wang3, S-L Qin4, N Cui4, Z-D Yang4, X-A Zhang1, W Liu1, W-C Cao1.   

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that was caused by a novel bunyavirus, SFTSV. The study aimed to disclose the epidemiological and clinical characteristics of SFTSV infection in China so far. An integrated clinical database comprising 1920 SFTS patients was constructed by combining first-hand clinical information collected from SFTS sentinel hospitals (n = 1159) and extracted data (n = 761) from published literature. The considered variables comprised clinical manifestations, routine laboratory tests of acute infection, hospitalization duration and disease outcome. SFTSV-IgG data from 19 119 healthy subjects were extracted from the published papers. The key clinical variables, case-fatality rate (CFR) and seroprevalence were estimated by meta-analysis. The most commonly seen clinical manifestations of SFTSV infection were fever, anorexia, myalgia, chill and lymphadenopathy. The major laboratory findings were elevated lactate dehydrogenase, aminotransferase, followed by thrombocytopenia, lymphocytopenia, elevated alanine transaminase and creatine kinase. A CFR of 12·2% was estimated, significantly higher than that obtained from national reporting data, but showing no geographical difference. In our paper, the mortality rate was about 1·9 parts per million. Older age and longer delay to hospitalization were significantly associated with fatal outcome. A pooled seroprevalence of 3·0% was obtained, which increased with age, while comparable for gender. This study represents a clinical characterization on the largest group of SFTS patients up to now. A higher than expected CFR was obtained. A wider spectrum of clinical index was suggested to be used to identify SFTSV infection, while the useful predictor for fatal outcome was found to be restricted.

Entities:  

Keywords:  Bunyavirus; China; meta-analysis; severe fever with thrombocytopenia syndrome

Mesh:

Year:  2015        PMID: 26542444     DOI: 10.1017/S0950268815002678

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  24 in total

1.  Development of a real-time loop-mediated isothermal amplification method for the detection of severe fever with thrombocytopenia syndrome virus.

Authors:  Jae Woong Lee; Yu-Jung Won; Lae Hyung Kang; Sung-Geun Lee; Seung-Won Park; Soon-Young Paik
Journal:  J Microbiol       Date:  2020-05-18       Impact factor: 3.422

2.  A single-domain antibody inhibits SFTSV and mitigates virus-induced pathogenesis in vivo.

Authors:  Xilin Wu; Yanlei Li; Bilian Huang; Xiaohua Ma; Linjing Zhu; Nan Zheng; Shijie Xu; Waqas Nawaz; Changping Xu; Zhiwei Wu
Journal:  JCI Insight       Date:  2020-07-09

3.  Early-Warning Immune Predictors for Invasive Pulmonary Aspergillosis in Severe Patients With Severe Fever With Thrombocytopenia Syndrome.

Authors:  Lifen Hu; Qinxiang Kong; Chengcheng Yue; Xihai Xu; Lingling Xia; Tingting Bian; Yanyan Liu; Hui Zhang; Xuejiao Ma; Huafa Yin; Qiulin Sun; Yufeng Gao; Ying Ye; Jiabin Li
Journal:  Front Immunol       Date:  2021-05-07       Impact factor: 7.561

4.  Impact of an intervention programme on knowledge, attitudes and practices of population regarding severe fever with thrombocytopenia syndrome in endemic areas of Lu'an, China.

Authors:  Y Lyu; C-Y Hu; L Sun; W Qin; P-P Xu; J Sun; J-Y Hu; Y Yang; F-L Li; H-W Chang; X-D Li; S-Y Xie; K-C Li; X-X Huang; F Ding; X-J Zhang
Journal:  Epidemiol Infect       Date:  2017-11-27       Impact factor: 4.434

5.  Score risk model for predicting severe fever with thrombocytopenia syndrome mortality.

Authors:  Li Wang; Zhiqiang Zou; Chunguo Hou; Xiangzhong Liu; Fen Jiang; Hong Yu
Journal:  BMC Infect Dis       Date:  2017-01-07       Impact factor: 3.090

6.  Severe Fever with Thrombocytopenia Syndrome in South Korea, 2013-2015.

Authors:  Seong Jin Choi; Sang-Won Park; In-Gyu Bae; Sung-Han Kim; Seong Yeol Ryu; Hyun Ah Kim; Hee-Chang Jang; Jian Hur; Jae-Bum Jun; Younghee Jung; Hyun-Ha Chang; Young Keun Kim; Jongyoun Yi; Kye-Hyung Kim; Jeong-Hwan Hwang; Yeon-Sook Kim; Hye Won Jeong; Kyoung-Ho Song; Wan Beom Park; Eu Suk Kim; Myoung-Don Oh
Journal:  PLoS Negl Trop Dis       Date:  2016-12-29

7.  The Regulation of Seventeen Inflammatory Mediators are Associated with Patient Outcomes in Severe Fever with Thrombocytopenia Syndrome.

Authors:  Li-Fen Hu; Ting Wu; Bo Wang; Yuan-Yuan Wei; Qin-Xiang Kong; Ying Ye; Hua-Fa Yin; Jia-Bin Li
Journal:  Sci Rep       Date:  2018-01-09       Impact factor: 4.379

8.  Two confirmed cases of severe fever with thrombocytopenia syndrome with pneumonia: implication for a family cluster in East China.

Authors:  Yiyi Zhu; Huanyu Wu; Jie Gao; Xin Zhou; Renyi Zhu; Chunzhe Zhang; Hongling Bai; Abu S Abdullah; Hao Pan
Journal:  BMC Infect Dis       Date:  2017-08-03       Impact factor: 3.090

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

Authors:  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
Journal:  PLoS Negl Trop Dis       Date:  2017-09-21

10.  The changing epidemiological characteristics of severe fever with thrombocytopenia syndrome in China, 2011-2016.

Authors:  Jimin Sun; Liang Lu; Haixia Wu; Jun Yang; Jiangping Ren; Qiyong Liu
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

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