Antiviral Treatment Options for Severe Fever with Thrombocytopenia Syndrome Infections

Zhang, Yin; Huang, Ying; Xu, Yuanhong

doi:10.1007/s40121-022-00693-x

Cited by 10 publications

(9 citation statements)

References 67 publications

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“…Antiviral therapy in #1 SFTSV. Zhang et al's review ( 40 ) suggested that broad-spectrum antivirals have the potential to be the first line of defense to prevent the progression of the disease, and fapiravir maybe the most promising treatment. The future development of antiviral methods may depend mainly on targeted therapies such as monoclonal antibodies and prevention through vaccination.…”

Section: Discussionmentioning

confidence: 99%

Severe fever with thrombocytopenia syndrome virus trends and hotspots in clinical research: A bibliometric analysis of global research

Zhang

Tan²,

Wen³

et al. 2023

Front. Public Health

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BackgroundSince severe fever with thrombocytopenia syndrome virus (SFTSV) was first reported in 2009, a large number of relevant studies have been published. However, no bibliometrics analysis has been conducted on the literature focusing on SFTSV. This study aims to evaluate the research hotspots and future development trends of SFTSV research through bibliometric analysis, and to provide a new perspective and reference for future SFTSV research and the prevention of SFTSV.MethodsWe retrieved global publications on SFTSV from the Web of Science Core Collection (WoSCC) and Scopus databases from inception of the database until 2022 using VOSviewer software and CiteSpace was used for bibliometric analysis.ResultsThe number of SFTSV-related publications has increased rapidly since 2011, peaking in 2021. A total of 45 countries/regions have published relevant publications, with China topping the list with 359. The Viruses-Basel has published the most papers on SFTSV. In addition, Yu et al. have made the greatest contribution to SFTSV research, with their published paper being the most frequently cited. The most popular SFTSV study topics included: (1) pathogenesis and symptoms, (2) characteristics of the virus and infected patients, and (3) transmission mechanism and risk factors for SFTSV.ConclusionsIn this study, we provide a detailed description of the research developments in SFTSV since its discovery and summarize the SFTSV research trends. SFTSV research is in a phase of explosive development, and a large number of publications have been published in the past decade. There is a lack of collaboration between countries and institutions, and international collaboration and exchanges should be strengthened in the future. The current research hotpots of SFTSV is antiviral therapy, immunotherapy, virus transmission mechanism and immune response.

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Section: Discussionmentioning

confidence: 99%

Severe fever with thrombocytopenia syndrome virus trends and hotspots in clinical research: A bibliometric analysis of global research

Zhang

Tan²,

Wen³

et al. 2023

Front. Public Health

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“…Blood profile and metabolic panel findings mirror those of HRTV, including thrombocytopenia and elevated liver enzymes [78]. Conservative treatment addressing underlying conditions is often applied, though both ribavirin and favipiravir have shown some potential for treatment in a clinical setting [79]. Additional prospective, randomized trials may help reveal the utility of antiviral treatments-though the importance of early differentiation and diagnosis in the evaluation of various treatment options cannot be understated [79].…”

Section: Clinical Findings Differential Diagnosis Treatment and Progn...mentioning

confidence: 99%

Heartland Virus: An Evolving Story of an Emerging Zoonotic and Vector-Borne Disease

Mantlo,

Haley

2023

Zoonotic Diseases

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Heartland virus (HRTV) is an emerging tick-borne bandavirus that is capable of causing severe disease characterized by acute thrombocytopenia and lymphopenia. The virus is endemic to the eastern United States and is carried by the Lone Star tick (Amblyomma americanum). Since its discovery in 2009, at least 60 human infections have been recorded across this area, with an overall 5–10% estimated mortality rate. All infections reported thus far have occurred following a known tick bite or exposure to tick-infested areas, but the possibility of nosocomial transmission has not been ruled out. Despite relatively high rates of seroprevalence among certain wildlife species such as white-tailed deer, the reservoir species for HRTV remains unknown, as the virus has never been isolated from any mammalian wildlife species. Furthermore, how the virus is transmitted to its vector species in nature remains unknown, though laboratory studies have confirmed both horizontal and vertical transmission of HRTV in A. americanum. In addition, the recent 2017 introduction of the Asian longhorned tick (Haemaphysalis longicornis) to the US has raised concerns about possible spillover of HRTV into a new tick species that has been confirmed to be a competent vector for HRTV in the laboratory. Thus, an increased awareness of its clinical presentation is needed, and further research is urgently required to establish the natural transmission cycle and develop new countermeasures for this novel zoonotic pathogen.

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“…Therefore, it is urgent to precisely predict the risk of developing into encephalitis and mortality at the early stage of SFTS. Despite there being no effective therapy for SFTS currently [ 11 ], emerging evidence suggests that some medical interventions, such as calcium channel blockers and favipiravir, might ameliorate the disease progression and reduce the fatality of patients with SFTS [ 12 , 13 ]. Therefore, it is urgent to establish precise prognosis models to predict the fatality of SFTS disease or its association with encephalitis.…”

Section: Introductionmentioning

confidence: 99%

A Reservoir Computing with Boosted Topology Model to Predict Encephalitis and Mortality for Patients with Severe Fever with Thrombocytopenia Syndrome: A Retrospective Multicenter Study

Zheng

Geng

et al. 2023

Infect Dis Ther

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Introduction Severe fever with thrombocytopenia syndrome virus (SFTSV) is an emerging tick-borne virus associated with a high rate of mortality, as well as encephalitis. We aim to develop and validate a machine learning model to early predict the potential life-threatening conditions of SFTS. Methods The clinical presentation, demographic information, and laboratory parameters from 327 patients with SFTS at admission in three large tertiary hospitals in Jiangsu, China between 2010 to 2022 are retrieved. We establish a reservoir computing with boosted topology (RC–BT) algorithm to obtain the models’ predictions of the encephalitis and mortality of patients with SFTS. The prediction performances of encephalitis and mortality are further tested and validated. Finally, we compare our RC–BT model with the other traditional machine learning algorithms including Lightgbm, support vector machine (SVM), Xgboost, Decision Tree, and Neural Network (NN). Results For the prediction of encephalitis among patients with SFTS, nine parameters are selected with equal weight, namely calcium, cholesterol, muscle soreness, dry cough, smoking history, temperature at admission, troponin T, potassium, and thermal peak. The accuracy for the validation cohort by the RC–BT model is 0.897 [95% confidence interval (CI) 0.873–0.921]. The sensitivity and negative predictive value (NPV) of the RC–BT model are 0.855 (95% CI 0.824–0.886) and 0.904 (95% CI 0.863–0.945), respectively. Area under curve of the RC–BT model for the validation cohort is 0.899 (95% CI 0.882–0.916). For the prediction of fatality among patients with SFTS, seven parameters are selected with equal weight, namely calcium, cholesterol, history of drinking, headache, field contact, potassium, and dyspnea. The accuracy of the RC–BT model is 0.903 (95% CI 0.881–0.925). The sensitivity and NPV of the RC–BT model are 0.913 (95% CI 0.902–0.924) and 0.946 (95% CI 0.917–0.975), respectively. The area under curve is 0.917 (95% CI 0.902–0.932). Importantly, the RC–BT models outperform the other artificial intelligence-based algorithms in both prediction tasks. Conclusions Our two RC–BT models of SFTS encephalitis and fatality demonstrate high area under curves, specificity, and NPV, with nine and seven routine clinical parameters, respectively. Our models can not only greatly improve the early prognosis accuracy of SFTS, but can also be widely applied in underdeveloped areas with limited medical resources. Supplementary Information The online version contains supplementary material available at 10.1007/s40121-023-00808-y.

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Antiviral Treatment Options for Severe Fever with Thrombocytopenia Syndrome Infections

Cited by 10 publications

References 67 publications

Severe fever with thrombocytopenia syndrome virus trends and hotspots in clinical research: A bibliometric analysis of global research

Severe fever with thrombocytopenia syndrome virus trends and hotspots in clinical research: A bibliometric analysis of global research

Heartland Virus: An Evolving Story of an Emerging Zoonotic and Vector-Borne Disease

A Reservoir Computing with Boosted Topology Model to Predict Encephalitis and Mortality for Patients with Severe Fever with Thrombocytopenia Syndrome: A Retrospective Multicenter Study

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