Evidence map›Paper›PMID 41430575›Full record

ArticleBMC infectious diseases2025

The prevalence and influence of EBV infection in patients with severe fever with thrombocytopenia syndrome.

Fangfang Geng, Xiaoxiang Hu, Yan Xu, Tingting Xiao, Meifang Yang, Xuan Zhang, Hong Zhao, Jianhua Hu

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Fangfang GengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
Xiaoxiang HuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
Yan XuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
Tingting XiaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
Meifang YangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
Xuan ZhangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
Hong ZhaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China.
Jianhua HuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China. hjianhua0825@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSevere fever with thrombocytopenia (SFTS) is a fatal emerging infectious disease. Co-infection, mainly with bacterial and fungal infections, in association with poorer outcomes in SFTS, but few studies have examined on viral infections. We aimed to investigate the prevalence of Epstein‒Barr virus (EBV) infection and its effects on the clinical features and mortality in patients with SFTS.

methodsWe retrospectively reviewed 104 patients with confirmed SFTS between 2011 and 2025, and analyzed their laboratory test results and clinical data.

resultsOf 104 SFTS patients, 48.10% had EBV infection. Compared to those without EBV infection, these patients were more likely to have bacterial infection in blood (p = 0.027), lower white blood cell (p < 0.001) and neutrophil counts (p = 0.019), lower serum calcium (p = 0.043), and higher alanine aminotransferase (p = 0.013), adenosine deaminase (p = 0.018), and urinary protein (p = 0.005). Mortality rates were higher in EBV-infected patients (7 [14%] vs. 4 [7.4%], p = 0.275), though not statistically significant. In this study, decreased WBC count and elevated ALT level were independently associated with EBV infection in SFTS patients (OR = 0.391 [95% CI, 0.233-0.657] and 1.006 [95% CI, 1.001-1.011], both p < 0.05).

conclusionsSFTS patients are at high risk for EBV infection. Those with EBV infection exhibit more severe clinical manifestations, although short-term survival does not differ significantly. Decreased WBC count and elevated ALT are risk factors for EBV infection in SFTS patients. The need for targeted treatment of EBV infection remains uncertain.

Indexed as

Epstein-Barr Virus InfectionsSevere Fever with Thrombocytopenia SyndromeAdultAgedAged, 80 and overCoinfectionFemaleHerpesvirus 4, HumanHumansMaleMiddle AgedPrevalenceRetrospective StudiesEBV infectionLeukopeniaRisk factorSFTS

Identifiers

PMID41430575
PMCPMC12752301

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.