• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

韩国严重发热伴血小板减少综合征的预后因素。

Prognostic Factors of Severe Fever with Thrombocytopenia Syndrome in South Korea.

机构信息

Department of Internal Medicine, Jeju National University Hospital, Jeju 63241, Korea.

Department of Internal Medicine, College of Medicine and Graduate School of Medicine, Jeju National University, Jeju 63241, Korea.

出版信息

Viruses. 2020 Dec 23;13(1):10. doi: 10.3390/v13010010.

DOI:10.3390/v13010010
PMID:33374620
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7822455/
Abstract

Severe fever with thrombocytopenia syndrome (SFTS), a tick-borne infectious disease, is difficult to differentiate from other common febrile diseases. Clinically distinctive features and climate variates associated with tick growth can be useful predictors for SFTS. This retrospective study (2013-2019) demonstrated the role of climatic factors as predictors of SFTS and developed a clinical scoring system for SFTS using climate variables and clinical characteristics. The presence of the SFTS virus was confirmed using reverse transcription polymerase chain reaction (RT-PCR) tests. In the univariate analysis, the SFTS-positive group was significantly associated with higher mean ambient temperature and humidity compared with the SFTS-negative group (22.5 °C vs. 18.9 °C; 77.9% vs. 70.7%, all < 0.001). In the multivariate analysis, poor oral intake (Odds ratio [OR] 5.87, 95% CI: 2.42-8.25), lymphadenopathy (OR 7.20, 95% CI: 6.24-11.76), mean ambient temperature ≥ 20 °C (OR 4.62, 95% CI: 1.46-10.28), absolute neutrophil count ≤ 2000 cells/μL (OR 8.95, 95% CI: 2.30-21.25), C-reactive protein level ≤ 1.2 mg/dL (OR 6.42, 95% CI: 4.02-24.21), and creatinine kinase level ≥ 200 IU/L (OR 5.94, 95% CI: 1.42-24.92) were significantly associated with the SFTS-positive group. This study presents the risk factors, including ambient temperature and clinical characteristics, that physicians should consider when suspecting SFTS.

摘要

严重发热伴血小板减少综合征(SFTS)是一种蜱传传染病,与其他常见发热性疾病难以区分。临床特征和与蜱虫生长相关的气候变化可作为 SFTS 的有用预测指标。本回顾性研究(2013-2019 年)表明,气候因素可作为 SFTS 的预测指标,并使用气候变量和临床特征开发了 SFTS 的临床评分系统。采用逆转录聚合酶链反应(RT-PCR)检测 SFTS 病毒。单因素分析中,SFTS 阳性组的平均环境温度和湿度显著高于 SFTS 阴性组(22.5°C 比 18.9°C;77.9%比 70.7%,均 < 0.001)。多因素分析中,摄食差(比值比[OR] 5.87,95%置信区间:2.42-8.25)、淋巴结病(OR 7.20,95%置信区间:6.24-11.76)、环境温度≥20°C(OR 4.62,95%置信区间:1.46-10.28)、绝对中性粒细胞计数≤2000 个/μL(OR 8.95,95%置信区间:2.30-21.25)、C 反应蛋白水平≤1.2mg/dL(OR 6.42,95%置信区间:4.02-24.21)和肌酸激酶水平≥200IU/L(OR 5.94,95%置信区间:1.42-24.92)与 SFTS 阳性组显著相关。本研究提出了包括环境温度和临床特征在内的 SFTS 疑似病例中医生应考虑的危险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bfd/7822455/2c859d04d2ff/viruses-13-00010-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bfd/7822455/712fc21f4a31/viruses-13-00010-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bfd/7822455/f7bd2ffe6874/viruses-13-00010-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bfd/7822455/2c859d04d2ff/viruses-13-00010-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bfd/7822455/712fc21f4a31/viruses-13-00010-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bfd/7822455/f7bd2ffe6874/viruses-13-00010-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bfd/7822455/2c859d04d2ff/viruses-13-00010-g003.jpg

相似文献

1
Prognostic Factors of Severe Fever with Thrombocytopenia Syndrome in South Korea.韩国严重发热伴血小板减少综合征的预后因素。
Viruses. 2020 Dec 23;13(1):10. doi: 10.3390/v13010010.
2
Phylogenetic analysis of severe fever with thrombocytopenia syndrome virus in Korean water deer (Hydropotes inermis argyropus) in the Republic of Korea.韩国水鹿(Hydropotes inermis argyropus)中严重发热伴血小板减少综合征病毒的系统进化分析。
Ticks Tick Borne Dis. 2020 Mar;11(2):101331. doi: 10.1016/j.ttbdis.2019.101331. Epub 2019 Nov 8.
3
Clinical Characteristics and Diagnostic Prediction of Severe Fever with Thrombocytopenia Syndrome and Rickettsiosis in the Co-Endemic Wakayama Prefecture, Japan.日本和歌山县两种地方病发热伴血小板减少综合征和立克次体病的临床特征和诊断预测。
Medicina (Kaunas). 2023 Nov 17;59(11):2024. doi: 10.3390/medicina59112024.
4
Early-Warning Immune Predictors for Invasive Pulmonary Aspergillosis in Severe Patients With Severe Fever With Thrombocytopenia Syndrome.严重发热伴血小板减少综合征重症患者侵袭性肺曲霉病的预警免疫预测因子。
Front Immunol. 2021 May 7;12:576640. doi: 10.3389/fimmu.2021.576640. eCollection 2021.
5
Confirmed cases of severe fever with thrombocytopenia syndrome in companion cats with a history of tick exposure in the Republic of Korea.韩国曾有蜱虫暴露史的伴侣猫中出现伴有血小板减少的严重发热综合征确诊病例。
J Vet Sci. 2022 Nov;23(6):e83. doi: 10.4142/jvs.22104. Epub 2022 Sep 15.
6
Diagnostic system for the detection of severe fever with thrombocytopenia syndrome virus RNA from suspected infected animals.用于从疑似感染动物中检测发热伴血小板减少综合征病毒 RNA 的诊断系统。
PLoS One. 2021 Jan 28;16(1):e0238671. doi: 10.1371/journal.pone.0238671. eCollection 2021.
7
Correlation between the Cycle Threshold Values in Detection of Severe Fever with Thrombocytopenia Syndrome Virus Using PowerChek SFTSV Real-Time PCR Kit and Viral Load: Prognostic Implications.采用 PowerChek SFTSV 实时 PCR 试剂盒检测发热伴血小板减少综合征病毒的循环阈值与病毒载量的相关性:预后意义。
Viruses. 2024 Apr 29;16(5):700. doi: 10.3390/v16050700.
8
Effects of steroid therapy in patients with severe fever with Thrombocytopenia syndrome: A multicenter clinical cohort study.严重发热伴血小板减少综合征患者类固醇治疗效果:一项多中心临床队列研究。
PLoS Negl Trop Dis. 2021 Feb 19;15(2):e0009128. doi: 10.1371/journal.pntd.0009128. eCollection 2021 Feb.
9
Epidemiological and clinical characteristics of severe fever with thrombocytopenia syndrome bunyavirus human-to-human transmission.发热伴血小板减少综合征布尼亚病毒人传人传播的流行病学及临床特征
PLoS Negl Trop Dis. 2021 Apr 30;15(4):e0009037. doi: 10.1371/journal.pntd.0009037. eCollection 2021 Apr.
10
Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea.利用机器学习方法估计韩国严重发热伴血小板减少综合征的传播。
Sci Rep. 2021 Nov 8;11(1):21831. doi: 10.1038/s41598-021-01361-9.

引用本文的文献

1
The impact of climate change on ecology of tick associated with tick-borne diseases.气候变化对与蜱传疾病相关的蜱类生态学的影响。
PLoS Comput Biol. 2025 Apr 8;21(4):e1012903. doi: 10.1371/journal.pcbi.1012903. eCollection 2025.
2
Lactate dehydrogenase to albumin ratio (LAR) is a novel predictor of fatal outcome in patients with SFTS: an observational study.乳酸脱氢酶与白蛋白比值(LAR)是严重发热伴血小板减少综合征患者死亡结局的新型预测指标:一项观察性研究。
Front Public Health. 2024 Dec 17;12:1459712. doi: 10.3389/fpubh.2024.1459712. eCollection 2024.
3
Establishment and validation of a prognostic nomogram for severe fever with thrombocytopenia syndrome: A retrospective observational study.

本文引用的文献

1
Severe Fever with Thrombocytopenia Syndrome Virus in Ticks and SFTS Incidence in Humans, South Korea.韩国蜱虫中的发热伴血小板减少综合征病毒及发热伴血小板减少综合征的发病情况。
Emerg Infect Dis. 2020 Sep;26(9):2292-2294. doi: 10.3201/eid2609.200065.
2
Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods.利用机器学习方法绘制发热伴血小板减少综合征全球潜在传播热点图。
Emerg Microbes Infect. 2020 Dec;9(1):817-826. doi: 10.1080/22221751.2020.1748521.
3
Application of the severe fever with thrombocytopenia syndrome prediction score: Differentiation of febrile diseases using basic laboratory parameters.
发热伴血小板减少综合征预后列线图的建立与验证:一项回顾性观察研究。
PLoS One. 2024 Oct 24;19(10):e0311924. doi: 10.1371/journal.pone.0311924. eCollection 2024.
4
A nomogram to predict mortality in patients with severe fever with thrombocytopenia syndrome.用于预测严重发热伴血小板减少综合征患者死亡率的列线图。
Sci Rep. 2024 May 9;14(1):10627. doi: 10.1038/s41598-024-60923-9.
5
The dose-response relationship between smoking and the risk factor for invasive pulmonary aspergillosis in patients with severe fever with thrombocytopenia syndrome.吸烟与严重发热伴血小板减少综合征患者侵袭性肺曲霉病危险因素之间的剂量反应关系。
Front Microbiol. 2023 Jun 30;14:1209705. doi: 10.3389/fmicb.2023.1209705. eCollection 2023.
6
Clinical Differentiation of Severe Fever with Thrombocytopenia Syndrome from Japanese Spotted Fever.严重发热伴血小板减少综合征与日本斑点热的临床鉴别。
Viruses. 2022 Aug 18;14(8):1807. doi: 10.3390/v14081807.
7
Overview of the immunological mechanism underlying severe fever with thrombocytopenia syndrome (Review).严重发热伴血小板减少综合征免疫发病机制概述(综述)。
Int J Mol Med. 2022 Sep;50(3). doi: 10.3892/ijmm.2022.5174. Epub 2022 Jul 20.
8
Seroreactivity to in an Agricultural Population and Prevalence of Infection in Ticks of a Non-Endemic Region for Q Fever in South Korea.韩国农业人口对[具体物质]的血清反应性及非Q热流行区蜱中[具体感染]的感染率
Pathogens. 2021 Oct 17;10(10):1337. doi: 10.3390/pathogens10101337.
严重发热伴血小板减少综合征预测评分的应用:利用基本实验室参数区分发热性疾病。
PLoS One. 2020 Mar 5;15(3):e0229920. doi: 10.1371/journal.pone.0229920. eCollection 2020.
4
Endemic Severe Fever with Thrombocytopenia Syndrome, Vietnam.越南地方性发热伴血小板减少综合征
Emerg Infect Dis. 2019 May;25(5):1029-1031. doi: 10.3201/eid2505.181463.
5
Severe fever with thrombocytopenia syndrome: comparison with scrub typhus and clinical diagnostic prediction.严重发热伴血小板减少综合征:与恙虫病的比较及临床诊断预测。
BMC Infect Dis. 2019 Feb 19;19(1):174. doi: 10.1186/s12879-019-3773-1.
6
Severe Fever with Thrombocytopenia Syndrome Virus Infection, South Korea, 2010.韩国 2010 年严重发热伴血小板减少综合征病毒感染。
Emerg Infect Dis. 2018 Nov;24(11):2103-2105. doi: 10.3201/eid2411.170756.
7
Differentiation of Severe Fever With Thrombocytopenia Syndrome From Scrub Typhus.从恙虫病鉴别严重发热伴血小板减少综合征。
Clin Infect Dis. 2018 May 2;66(10):1621-1624. doi: 10.1093/cid/cix1119.
8
Severe Fever with Thrombocytopenia Syndrome in South Korea, 2013-2015.2013 - 2015年韩国的严重发热伴血小板减少综合征
PLoS Negl Trop Dis. 2016 Dec 29;10(12):e0005264. doi: 10.1371/journal.pntd.0005264. eCollection 2016 Dec.
9
Phylogenetic Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in South Korea and Migratory Bird Routes Between China, South Korea, and Japan.韩国严重发热伴血小板减少综合征病毒的系统发育分析以及中国、韩国和日本之间的候鸟迁徙路线
Am J Trop Med Hyg. 2015 Sep;93(3):468-74. doi: 10.4269/ajtmh.15-0047. Epub 2015 Jun 1.
10
Severe fever with thrombocytopenia syndrome, an emerging tick-borne zoonosis.发热伴血小板减少综合征,一种新发的蜱媒动物源性传染病。
Lancet Infect Dis. 2014 Aug;14(8):763-772. doi: 10.1016/S1473-3099(14)70718-2. Epub 2014 May 15.