ArticleBMC infectious diseases2021
Clinical features of severe fever with thrombocytopenia syndrome and analysis of risk factors for mortality.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Clinical Predictors of Mortality in Severe Fever with Thrombocytopenia Syndrome: An Updated Systematic Review and Meta-Analysis.Pathogens (Basel, Switzerland) · 2026Pooled it
- Cytokine Indicators Associated with Disease Severity in Severe Fever with Thrombocytopenia Syndrome: A Systematic Review and Meta-Analysis.Pathogens (Basel, Switzerland) · 2026Pooled it
- A model based on meta-analysis to evaluate poor prognosis of patients with severe fever with thrombocytopenia syndrome.Frontiers in microbiology · 2023Pooled it
- A clinical scoring system for the early identification of superinfections in patients with severe fever with thrombocytopenia syndrome: An ambispective multicentre cohort study.PLoS neglected tropical diseases · 2026Article
- SFTSV infection drives platelet-associated fibrinogen accumulation and platelet-mediated coagulopathy.Research and practice in thrombosis and haemostasis · 2026Article
- Development and validation of a nomogram for predicting 30-day mortality in DBV-induced sepsis with pancreatic injury.iScience · 2026Article
- C/EBP-β-regulated complement hyperactivation in spleen of SFTSV-infected mice: A clue to targeted complement therapy.PLoS pathogens · 2026Article
- Genotype-Dependent Virulence of Severe Fever with Thrombocytopenia Syndrome Virus in a Mouse Challenge Model.International journal of molecular sciences · 2026Article
- Immune Cells at the Frontline of SFTSV Infection.Journal of microbiology and biotechnology · 2026Review
- NLPR as a predictor of poor prognosis in patients with severe fever with thrombocytopenia syndrome: a prospective longitudinal study.Frontiers in cellular and infection microbiology · 2026Article
- Article
- Dynamic evolution of key laboratory parameters predicts clinical outcomes in severe fever with thrombocytopenia syndrome (SFTS) patients: a cohort study.Virology journal · 2025Article
- Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms.Annals of medicine · 2025Article
- A nomogram to predict respiratory failure development in severe fever with thrombocytopenia syndrome patients with pneumonia.Scientific reports · 2025Article
- Current status of severe fever with thrombocytopenia syndrome in China (Review).International journal of molecular medicine · 2025Review
- A novel prognostic nomogram for elderly patients with severe fever with thrombocytopenia syndrome.BMC geriatrics · 2025Article
- Genome-wide CRISPR screening identifies LRP1 as an entry factor for SFTSV.Nature communications · 2025Article
- Intensive care unit-based mortality risk model construction for severe fever with thrombocytopenia syndrome patients: a retrospective study.BMC infectious diseases · 2025Article
- Dynamic biomarkers and Cox regression with time-dependent covariate for mortality prediction in severe fever with thrombocytopenia syndrome.Scientific reports · 2025Article
- Identification of early prediction biomarkers of severity in patients with severe fever with thrombocytopenia syndrome based on plasma proteomics.Frontiers in microbiology · 2025Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo understand the clinical characteristics of and explore the risk factors for mortality in patients with severe fever with thrombocytopenia syndrome (SFTS).
methodsData from SFTS patients diagnosed by laboratory examination at Chaohu Hospital affiliated with Anhui Medical University from June 2017 to January 2021 were retrospectively analysed. According to the clinical results, all confirmed patients were divided into the surviving group (80 patients) and non-surviving group (20 patients). The two groups were compared in terms of general characteristics, clinical symptoms and signs, laboratory indicators and other aspects. The independent risk factors for mortality in SFTS patients were analysed by multivariate binary logistic regression.
resultsUnivariate analysis showed a significant difference in age and the incidence of consciousness disturbance, respiratory failure, haemorrhagic manifestations, renal dysfunction, shock, aspartate aminotransferase (AST) ≥400 U/L, creatine kinase (CK)≥1000 U/L, creatine kinase isoenzymes (CK-MB) ≥100 U/L, lactate dehydrogenase (LDH) ≥1000 U/L, serum creatinine ≥100 mmol/L, blood urea nitrogen ≥7.5 mmol/L and C-reactive protein ≥8 mg/L between the two groups (P < 0.05).
conclusionsConsciousness disorder, haemorrhagic manifestations, renal dysfunction, AST ≥ 400 U/L, and LDH ≥ 1000 U/L are independent risk factors for mortality in SFTS patients and merit close attention in clinical treatment to avoid fatal consequences.
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