NLR, A Convenient Early-Warning Biomarker of Fatal Outcome in Patients With Severe Fever With Thrombocytopenia Syndrome

BackgroundSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that greatly threatens public health. This study aimed to examine a convenient early-warning biomarker of fatal outcomes in patients with SFTS to reduce mortality.MethodsA retrospective cohort study was pe...

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Main Authors: Yuanyuan Wei, Zilong Wang, Luyang Kang, Lingling He, Nan Sheng, Jiangfeng Qin, Shuangshuang Ma, Honghai Xu, Lifen Hu, Guizhou Zou, Yufeng Gao, Jiabin Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Microbiology
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Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.907888/full
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author Yuanyuan Wei
Yuanyuan Wei
Zilong Wang
Luyang Kang
Lingling He
Lingling He
Nan Sheng
Nan Sheng
Jiangfeng Qin
Jiangfeng Qin
Shuangshuang Ma
Honghai Xu
Lifen Hu
Guizhou Zou
Yufeng Gao
Yufeng Gao
Jiabin Li
Jiabin Li
author_facet Yuanyuan Wei
Yuanyuan Wei
Zilong Wang
Luyang Kang
Lingling He
Lingling He
Nan Sheng
Nan Sheng
Jiangfeng Qin
Jiangfeng Qin
Shuangshuang Ma
Honghai Xu
Lifen Hu
Guizhou Zou
Yufeng Gao
Yufeng Gao
Jiabin Li
Jiabin Li
author_sort Yuanyuan Wei
collection DOAJ
description BackgroundSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that greatly threatens public health. This study aimed to examine a convenient early-warning biomarker of fatal outcomes in patients with SFTS to reduce mortality.MethodsA retrospective cohort study was performed, and patients with confirmed SFTS were enrolled in the top two hospitals in Anhui Province, China from 1 May 2016 to 31 October 2019. The clinical symptoms, laboratory indicators, and treatment data of patients with SFTS were evaluated. All patients with SFTS were followed up till 28 days from the start of admission. The laboratory indicators that could be used to predict the fatal outcome were identified.ResultsA total of 228 patients with SFTS were enrolled, 177 patients were enrolled in the survival group, and 51 patients in the death group. The median age of all 228 patients with SFTS was 63 years. Five laboratory indicators (SFTSV viral load, neutrophil to lymphocyte ratio (NLR), aspartate transaminase (AST)/alanine aminotransferase (ALT), ALT, and blood urea nitrogen (BUN)) were identified as the predicting factors of the fatal outcome of patients with SFTS. The area under the receiver operating characteristic (ROC) curve (AUC) of SFTSV viral load was the highest (0.919), then NLR (0.849), followed by AST/ALT (0.758), AST (0.738), and BUN (0.709). The efficacy of SFTVS viral load and NLR in predicting fatal outcomes was significantly higher than AST/ALT, AST, and BUN. The Kaplan–Meier survival curves show that the case fatality rate was significantly increased in patients whose SFTSV viral load was higher than 500,000 or NLR higher than 2.0. Gamma-globulin treatment showed a significant difference between the survival group and the death group, and the duration of gamma-globulin that had been proposed should not be <3 days.ConclusionThe SFTSV viral load and NLR showed great efficacy in predicting the fatal outcome of patients with SFTS, and NLR is a convenient and efficient early-warning biomarker that helps healthcare workers focus on patients with high risks of fatal outcomes. The efficacy of gamma-globulin provided a new idea for the treatment of SFTS, which needs further analysis in future studies.
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publisher Frontiers Media S.A.
record_format Article
series Frontiers in Microbiology
spelling doaj-art-3546d307b54b40498573ffa08183d9442025-01-27T08:32:51ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2022-06-011310.3389/fmicb.2022.907888907888NLR, A Convenient Early-Warning Biomarker of Fatal Outcome in Patients With Severe Fever With Thrombocytopenia SyndromeYuanyuan Wei0Yuanyuan Wei1Zilong Wang2Luyang Kang3Lingling He4Lingling He5Nan Sheng6Nan Sheng7Jiangfeng Qin8Jiangfeng Qin9Shuangshuang Ma10Honghai Xu11Lifen Hu12Guizhou Zou13Yufeng Gao14Yufeng Gao15Jiabin Li16Jiabin Li17Department of Hospital Infection Prevention and Control, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaAnhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaAnhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaAnhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaAnhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Pathology, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, ChinaAnhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaAnhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei, ChinaBackgroundSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that greatly threatens public health. This study aimed to examine a convenient early-warning biomarker of fatal outcomes in patients with SFTS to reduce mortality.MethodsA retrospective cohort study was performed, and patients with confirmed SFTS were enrolled in the top two hospitals in Anhui Province, China from 1 May 2016 to 31 October 2019. The clinical symptoms, laboratory indicators, and treatment data of patients with SFTS were evaluated. All patients with SFTS were followed up till 28 days from the start of admission. The laboratory indicators that could be used to predict the fatal outcome were identified.ResultsA total of 228 patients with SFTS were enrolled, 177 patients were enrolled in the survival group, and 51 patients in the death group. The median age of all 228 patients with SFTS was 63 years. Five laboratory indicators (SFTSV viral load, neutrophil to lymphocyte ratio (NLR), aspartate transaminase (AST)/alanine aminotransferase (ALT), ALT, and blood urea nitrogen (BUN)) were identified as the predicting factors of the fatal outcome of patients with SFTS. The area under the receiver operating characteristic (ROC) curve (AUC) of SFTSV viral load was the highest (0.919), then NLR (0.849), followed by AST/ALT (0.758), AST (0.738), and BUN (0.709). The efficacy of SFTVS viral load and NLR in predicting fatal outcomes was significantly higher than AST/ALT, AST, and BUN. The Kaplan–Meier survival curves show that the case fatality rate was significantly increased in patients whose SFTSV viral load was higher than 500,000 or NLR higher than 2.0. Gamma-globulin treatment showed a significant difference between the survival group and the death group, and the duration of gamma-globulin that had been proposed should not be <3 days.ConclusionThe SFTSV viral load and NLR showed great efficacy in predicting the fatal outcome of patients with SFTS, and NLR is a convenient and efficient early-warning biomarker that helps healthcare workers focus on patients with high risks of fatal outcomes. The efficacy of gamma-globulin provided a new idea for the treatment of SFTS, which needs further analysis in future studies.https://www.frontiersin.org/articles/10.3389/fmicb.2022.907888/fullsevere fever with thrombocytopenia syndromeneutrophil-to-lymphocyte ratioSFTSV viral loadprognosis factorsfatal outcome
spellingShingle Yuanyuan Wei
Yuanyuan Wei
Zilong Wang
Luyang Kang
Lingling He
Lingling He
Nan Sheng
Nan Sheng
Jiangfeng Qin
Jiangfeng Qin
Shuangshuang Ma
Honghai Xu
Lifen Hu
Guizhou Zou
Yufeng Gao
Yufeng Gao
Jiabin Li
Jiabin Li
NLR, A Convenient Early-Warning Biomarker of Fatal Outcome in Patients With Severe Fever With Thrombocytopenia Syndrome
Frontiers in Microbiology
severe fever with thrombocytopenia syndrome
neutrophil-to-lymphocyte ratio
SFTSV viral load
prognosis factors
fatal outcome
title NLR, A Convenient Early-Warning Biomarker of Fatal Outcome in Patients With Severe Fever With Thrombocytopenia Syndrome
title_full NLR, A Convenient Early-Warning Biomarker of Fatal Outcome in Patients With Severe Fever With Thrombocytopenia Syndrome
title_fullStr NLR, A Convenient Early-Warning Biomarker of Fatal Outcome in Patients With Severe Fever With Thrombocytopenia Syndrome
title_full_unstemmed NLR, A Convenient Early-Warning Biomarker of Fatal Outcome in Patients With Severe Fever With Thrombocytopenia Syndrome
title_short NLR, A Convenient Early-Warning Biomarker of Fatal Outcome in Patients With Severe Fever With Thrombocytopenia Syndrome
title_sort nlr a convenient early warning biomarker of fatal outcome in patients with severe fever with thrombocytopenia syndrome
topic severe fever with thrombocytopenia syndrome
neutrophil-to-lymphocyte ratio
SFTSV viral load
prognosis factors
fatal outcome
url https://www.frontiersin.org/articles/10.3389/fmicb.2022.907888/full
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