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Eosinophils and basophils in severe fever with thrombocytopenia syndrome patients: Risk factors for predicting the prognosis on admission
BACKGROUND: Severe fever with thrombocytopenia syndrome (SFTS) virus (SFTSV) is an emerging tick-borne phlebovirus with a high fatality rate. Previous studies have demonstrated the poor prognostic role of eosinophils (EOS) and basophils (BAS) in predicting multiple viral infections. This study aimed...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770358/ https://www.ncbi.nlm.nih.gov/pubmed/36542604 http://dx.doi.org/10.1371/journal.pntd.0010967 |
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author | Liu, Zishuai Zhang, Rongling Liu, Yuanni Ma, Ruize Zhang, Ligang Zhao, Zhe Ge, Ziruo Ren, Xingxiang Zhang, Wei Lin, Ling Chen, Zhihai |
author_facet | Liu, Zishuai Zhang, Rongling Liu, Yuanni Ma, Ruize Zhang, Ligang Zhao, Zhe Ge, Ziruo Ren, Xingxiang Zhang, Wei Lin, Ling Chen, Zhihai |
author_sort | Liu, Zishuai |
collection | PubMed |
description | BACKGROUND: Severe fever with thrombocytopenia syndrome (SFTS) virus (SFTSV) is an emerging tick-borne phlebovirus with a high fatality rate. Previous studies have demonstrated the poor prognostic role of eosinophils (EOS) and basophils (BAS) in predicting multiple viral infections. This study aimed to explore the role of EOS and BAS in predicting prognosis of patients with SFTS. METHODOLOGY: A total of 194 patients with SFTS who were admitted to Yantai City Hospital from November 2019 to November 2021 were included. Patients’ demographic and clinical data were collected. According to the clinical prognosis, they were divided into survival and non-survival groups. Independent risk factors were determined by univariate and multivariate logistic regression analyses. FINDINGS: There were 171 (88.14%) patients in the survived group and 23 (11.86%) patients in the non-survived group. Patients’ mean age was 62.39 ± 11.85 years old, and the proportion of males was 52.1%. Older age, neurological manifestations, hemorrhage, chemosis, and increased levels of laboratory variables, such as EOS% and BAS% on admission, were found in the non-survival group compared with the survival group. EOS%, BAS%, aspartate aminotransferase (AST), direct bilirubin (DBIL), and older age on admission were noted as independent risk factors for poor prognosis of SFTS patients. The combination of the EOS% and BAS% had an area under the curve (AUC) of (0.82; 95% CI: 0.725, 0.932, P = 0.000), which showed an excellent performance in predicting prognosis of patients with SFTS compared with neutrophil-to-lymphocyte ratio (NLR), and both exhibited a satisfactory performance in predicting poor prognosis compared with De-Ritis ratio (AST/alanine aminotransferase (ALT) ratio). EOS% and BAS% were positively correlated with various biomarkers of tissue damage and the incidence of neurological complications in SFTS patients. CONCLUSION: EOS% and BAS% are effective predictors of poor prognosis of patients with early-stage SFTS. The combination of EOS% and BAS% was found as the most effective approach. |
format | Online Article Text |
id | pubmed-9770358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-97703582022-12-22 Eosinophils and basophils in severe fever with thrombocytopenia syndrome patients: Risk factors for predicting the prognosis on admission Liu, Zishuai Zhang, Rongling Liu, Yuanni Ma, Ruize Zhang, Ligang Zhao, Zhe Ge, Ziruo Ren, Xingxiang Zhang, Wei Lin, Ling Chen, Zhihai PLoS Negl Trop Dis Research Article BACKGROUND: Severe fever with thrombocytopenia syndrome (SFTS) virus (SFTSV) is an emerging tick-borne phlebovirus with a high fatality rate. Previous studies have demonstrated the poor prognostic role of eosinophils (EOS) and basophils (BAS) in predicting multiple viral infections. This study aimed to explore the role of EOS and BAS in predicting prognosis of patients with SFTS. METHODOLOGY: A total of 194 patients with SFTS who were admitted to Yantai City Hospital from November 2019 to November 2021 were included. Patients’ demographic and clinical data were collected. According to the clinical prognosis, they were divided into survival and non-survival groups. Independent risk factors were determined by univariate and multivariate logistic regression analyses. FINDINGS: There were 171 (88.14%) patients in the survived group and 23 (11.86%) patients in the non-survived group. Patients’ mean age was 62.39 ± 11.85 years old, and the proportion of males was 52.1%. Older age, neurological manifestations, hemorrhage, chemosis, and increased levels of laboratory variables, such as EOS% and BAS% on admission, were found in the non-survival group compared with the survival group. EOS%, BAS%, aspartate aminotransferase (AST), direct bilirubin (DBIL), and older age on admission were noted as independent risk factors for poor prognosis of SFTS patients. The combination of the EOS% and BAS% had an area under the curve (AUC) of (0.82; 95% CI: 0.725, 0.932, P = 0.000), which showed an excellent performance in predicting prognosis of patients with SFTS compared with neutrophil-to-lymphocyte ratio (NLR), and both exhibited a satisfactory performance in predicting poor prognosis compared with De-Ritis ratio (AST/alanine aminotransferase (ALT) ratio). EOS% and BAS% were positively correlated with various biomarkers of tissue damage and the incidence of neurological complications in SFTS patients. CONCLUSION: EOS% and BAS% are effective predictors of poor prognosis of patients with early-stage SFTS. The combination of EOS% and BAS% was found as the most effective approach. Public Library of Science 2022-12-21 /pmc/articles/PMC9770358/ /pubmed/36542604 http://dx.doi.org/10.1371/journal.pntd.0010967 Text en © 2022 Liu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Liu, Zishuai Zhang, Rongling Liu, Yuanni Ma, Ruize Zhang, Ligang Zhao, Zhe Ge, Ziruo Ren, Xingxiang Zhang, Wei Lin, Ling Chen, Zhihai Eosinophils and basophils in severe fever with thrombocytopenia syndrome patients: Risk factors for predicting the prognosis on admission |
title | Eosinophils and basophils in severe fever with thrombocytopenia syndrome patients: Risk factors for predicting the prognosis on admission |
title_full | Eosinophils and basophils in severe fever with thrombocytopenia syndrome patients: Risk factors for predicting the prognosis on admission |
title_fullStr | Eosinophils and basophils in severe fever with thrombocytopenia syndrome patients: Risk factors for predicting the prognosis on admission |
title_full_unstemmed | Eosinophils and basophils in severe fever with thrombocytopenia syndrome patients: Risk factors for predicting the prognosis on admission |
title_short | Eosinophils and basophils in severe fever with thrombocytopenia syndrome patients: Risk factors for predicting the prognosis on admission |
title_sort | eosinophils and basophils in severe fever with thrombocytopenia syndrome patients: risk factors for predicting the prognosis on admission |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770358/ https://www.ncbi.nlm.nih.gov/pubmed/36542604 http://dx.doi.org/10.1371/journal.pntd.0010967 |
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