ArticleFrontiers in medicine2022
The Prognostic Significance of C-Reactive Protein to Albumin Ratio in Patients With Severe Fever With Thrombocytopenia Syndrome.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 14 citations in OpenAlex.
- SFTSV-encoded microRNA-like small RNA as prognostic biomarkers in severe fever with thrombocytopenia syndrome.Emerging microbes & infections · 2026Article
- An Explainable Machine Learning Model for Early Prediction of Incident Myocardial Injury in Patients With Severe Fever With Thrombocytopenia Syndrome.Journal of medical virology · 2026Article
- 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
- Interleukin-6-to-lymphocyte ratio as a novel prognostic factor in patients with severe fever with thrombocytopenia syndrome: a discovery and validation study.Frontiers in immunology · 2026Article
- Association of TyG with Survival and Metabolic Alterations in Severe Fever with Thrombocytopenia Syndrome: A Single- Centre Retrospective Study.Infection and drug resistance · 2026Article
- Predicting overactive bladder from inflammatory markers: A machine learning approach using NHANES 2005-2020.Biomolecules & biomedicine · 2025Article
- Prognostic nutritional index as an early predictor of mortality in patients with severe fever with thrombocytopenia syndrome: multicenter retrospective study in South Korea.BMC infectious diseases · 2025Article
- Clinical value of C-reactive protein to albumin ratio, aspartate aminotransferase, and platelet-to-lymphocyte ratio in predicting the severity of community-acquired pneumonia in children.Frontiers in pediatrics · 2025Article
- Blood Urea Nitrogen-to-Serum Albumin Ratio Predicts Fatal Outcomes in Severe Fever with Thrombocytopenia Syndrome Patients.The American journal of tropical medicine and hygiene · 2024Article
- Fibrinogen-to-prealbumin and C-reactive protein-to-prealbumin ratios as prognostic indicators in severe fever with thrombocytopenia syndrome.Frontiers in cellular and infection microbiology · 2024Article
- Aspartate aminotransferase to platelet ratio correlates with poor prognosis and metabolic alterations inFrontiers in immunology · 2024Article
- ACCI could be a poor prognostic indicator for the in-hospital mortality of patients with SFTS.Epidemiology and infection · 2023Article
- The Novel Predictive Biomarkers for Type 2 Diabetes Mellitus in Active Pulmonary Tuberculosis Patients.Infection and drug resistance · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with the high case-fatality rate, lacking effective therapies and vaccines. Inflammation-based indexes have been widely used to predict the prognosis of patients with cancers and some inflammatory diseases. In our study, we aim to explore the predictive value of the inflammation-based indexes in SFTS patients. Methods: We retrospectively analyzed 82 patients diagnosed with SFTS. The inflammation-based indexes, including neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), aggregate index of systemic inflammation (AISI) and C-reactive protein to albumin ratio (CAR), were compared between the survival and death patients. Receiver operating characteristic (ROC) curves were used to compare the predictive ability of MLR, AISI, and CAR. The survival analysis was based on the Kaplan-Meier (KM) method. Multivariate logistic regression analysis was used to analyze the independent risk factors of poor prognosis in patients with SFTS. Results: The CAR is higher in the death group while MLR and AISI were higher in the survival group. The ROC curve analysis indicated CAR exhibited more predictive value than the other indexes and the optimal cut-off value of CAR was equal to or greater than 0.14. KM survival curve showed that higher CAR was significantly correlated to the lower overall survival in SFTS patients. Multivariate logistic regression analysis indicated that CAR was an independent risk factor for poor prognosis in patients with SFTS. Conclusion: The CAR is an independent risk factor for death in patients with SFTS and could predict the poor prognosis of SFTS patients. It could be used as a biomarker to help physicians to monitor and treat patients more aggressively to improve clinical prognosis.
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