Literature DB >> 30054190

Epidemiological and clinical features of laboratory-diagnosed severe fever with thrombocytopenia syndrome in China, 2011-17: a prospective observational study.

Hao Li1, Qing-Bin Lu2, Bo Xing1, Shao-Fei Zhang1, Kun Liu3, Juan Du1, Xiao-Kun Li1, Ning Cui4, Zhen-Dong Yang4, Li-Yuan Wang1, Jian-Gong Hu1, Wu-Chun Cao1, Wei Liu5.   

Abstract

BACKGROUND: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with an increasing case number and extensive geographical expansion, raising concerns locally and globally; however, the description of its clinical features needs to be addressed by large studies. We aimed to determine all the clinical features of SFTS in a large population of patients in an endemic area.
METHODS: In this prospective observational study, data were collected on patients admitted to the People's Liberation Army Hospital in Xinyang, Henan Province, China, with laboratory-diagnosed SFTS. Demographic, clinical, laboratory, and treatment data were collected for each patient, and patients were followed up within 2 weeks after discharge or discontinuation of treatment. The association between each demographic, clinical, and laboratory variable with a fatal outcome was assessed. A clinical scoring model was designed for the early prediction of a fatal outcome, and the effect of treatment on outcome was analysed.
FINDINGS: Between April 1, 2011, and Oct 31, 2017, 2096 patients with laboratory-confirmed SFTS were admitted. Mean age at admission was 61·4 years (SD 12·2) and 1239 (59%) patients were female. The case fatality rate (CFR) was 16·2% (95% CI 14·6-17·8). A higher risk was associated with being male (unadjusted odds ratio [OR] 1·45, 95% CI 1·15-1·83; p=0·002), older age (for a 10-year increase, unadjusted OR 1·82, 95% CI 1·62-2·04; p<0·0001), longer delay in admission (for every extra day taken before admission to hospital, unadjusted OR 1·18, 1·12-1·24; p<0·0001), presence of diarrhoea (adjusted OR 1·44, 1·12-1·87; p=0·005) or dyspnoea (adjusted OR 8·35, 5·97-11·69; p<0·0001), and development of haemorrhagic signs (adjusted OR 2·79, 95% CI 2·18-3·57; p<0·0001) or neurological symptoms (adjusted OR 30·26, 21·39-42·81; p<0·0001). Laboratory variables that were associated with death included abnormal concentrations of lactate dehydrogenase, aspartate aminotransferase, and blood urea nitrogen, and abnormal neutrophil percentage, which together with age and neurological symptoms were combined in the clinical scoring system. A total score of more than 8 was the optimal threshold to predict risk of death for patients who were evaluated within 6 days after symptom onset (area under the curve 0·879, 95% CI 0·855-0·902). For all participants, viraemia was a strong predictor of fatal outcome (all p<0·0001). Ribavirin therapy was effective in reducing CFR from 6·25% (15 of 240 participants) to 1·16% (two of 173 participants), but only in patients with a viral load below 1×106 copies per mL (hazard ratio 9·72, 95% CI 1·30-72·87; p=0·027).
INTERPRETATION: The changing epidemiological features and high CFR of SFTS underscore the necessity of continued surveillance. Early prediction of fatal outcome can be attained by monitoring of clinical and laboratory data. Ribavirin should be applied early, with best results achieved before the viral load reaches 1 × 106 copies per mL. FUNDING: National Natural Science Foundation of China.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30054190     DOI: 10.1016/S1473-3099(18)30293-7

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


  64 in total

1.  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

2.  Heartland virus antagonizes type I and III interferon antiviral signaling by inhibiting phosphorylation and nuclear translocation of STAT2 and STAT1.

Authors:  Kuan Feng; Fei Deng; Zhihong Hu; Hualin Wang; Yun-Jia Ning
Journal:  J Biol Chem       Date:  2019-04-30       Impact factor: 5.157

3.  Seroprevalence of Severe Fever with Thrombocytopenia Syndrome Phlebovirus in Domesticated Deer in South Korea.

Authors:  Min-Ah Yu; Kwang-Min Yu; Su-Jin Park; Young-Il Kim; Norbert John Robles; Young-Jae Si; Eun-Ha Kim; Hyeok-Il Kwon; Hye Won Jeong; Min-Suk Song; Seok-Yong Kim; Young Ki Choi
Journal:  Virol Sin       Date:  2019-06-25       Impact factor: 4.327

Review 4.  The Endless Wars: Severe Fever With Thrombocytopenia Syndrome Virus, Host Immune and Genetic Factors.

Authors:  Min Wang; Weilong Tan; Jun Li; Liqun Fang; Ming Yue
Journal:  Front Cell Infect Microbiol       Date:  2022-06-15       Impact factor: 6.073

5.  Severe fever with thrombocytopenia syndrome virus targets B cells in lethal human infections.

Authors:  Tadaki Suzuki; Yuko Sato; Kaori Sano; Takeshi Arashiro; Harutaka Katano; Noriko Nakajima; Masayuki Shimojima; Michiyo Kataoka; Kenta Takahashi; Yuji Wada; Shigeru Morikawa; Shuetsu Fukushi; Tomoki Yoshikawa; Masayuki Saijo; Hideki Hasegawa
Journal:  J Clin Invest       Date:  2020-02-03       Impact factor: 14.808

6.  Corticosteroids May Have Negative Effects on the Management of Patients with Severe Fever with Thrombocytopenia Syndrome: A Case-Control Study.

Authors:  Takeshi Kawaguchi; Kunihiko Umekita; Atsushi Yamanaka; Seiichiro Hara; Tetsuro Yamaguchi; Eisuke Inoue; Akihiko Okayama
Journal:  Viruses       Date:  2021-04-28       Impact factor: 5.048

7.  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

8.  Investigation of Heartland Virus Disease Throughout the United States, 2013-2017.

Authors:  J Erin Staples; Daniel M Pastula; Amanda J Panella; Ingrid B Rabe; Olga I Kosoy; William L Walker; Jason O Velez; Amy J Lambert; Marc Fischer
Journal:  Open Forum Infect Dis       Date:  2020-04-11       Impact factor: 3.835

9.  Bunyavirus SFTSV exploits autophagic flux for viral assembly and egress.

Authors:  Jia-Min Yan; Wen-Kang Zhang; Li-Na Yan; Yong-Jun Jiao; Chuan-Min Zhou; Xue-Jie Yu
Journal:  Autophagy       Date:  2021-11-06       Impact factor: 13.391

10.  Meteorological factors and tick density affect the dynamics of SFTS in jiangsu province, China.

Authors:  Bin Deng; Jia Rui; Shu-Yi Liang; Zhi-Feng Li; Kangguo Li; Shengnan Lin; Li Luo; Jingwen Xu; Weikang Liu; Jiefeng Huang; Hongjie Wei; Tianlong Yang; Chan Liu; Zhuoyang Li; Peihua Li; Zeyu Zhao; Yao Wang; Meng Yang; Yuanzhao Zhu; Xingchun Liu; Nan Zhang; Xiao-Qing Cheng; Xiao-Chen Wang; Jian-Li Hu; Tianmu Chen
Journal:  PLoS Negl Trop Dis       Date:  2022-05-09
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