Retrospective Analysis of Severe Fever With Thrombocytopenia Syndrome and Construction of a Nomogram Prediction Model for Mortality Risk Factors

A nomogram model consisting of 7 risk factors was successfully constructed, which can be used to predict SFTS mortality risk factors early.

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Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2025-06-02
DOI
https://doi.org/10.1093/ofid/ofaf318
Citations
2
Primary Topic
Viral Infections and Vectors
Type
article
Field-Weighted Citation Impact
2.79

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article

Retrospective Analysis of Severe Fever With Thrombocytopenia Syndrome and Construction of a Nomogram Prediction Model for Mortality Risk Factors

Jinhuan Wu, Yaowen Liang, Changhua Yi, Apeng Chen et al.
2 citations
Open Forum Infectious Diseases
Viral Infections and Vectors
2.79
article

Retrospective Analysis of Severe Fever With Thrombocytopenia Syndrome and Construction of a Nomogram Prediction Model for Mortality Risk Factors

Jinhuan Wu, Yaowen Liang, Changhua Yi, Apeng Chen, Xiuchang Ma, Yuchen Du, Yishan Zheng, Jie Wei, Shuqin Xie, Yi Yan, Zheng Hu, Man Tian, Wenxian Qian, Gang Chen
article en
2 citations

Abstract

A nomogram model consisting of 7 risk factors was successfully constructed, which can be used to predict SFTS mortality risk factors early.

Open Forum Infectious DiseasesVol. 12(7)
Nanjing University of Chinese Medicine (CN), Xuzhou Medical College (CN), Nanjing Children's Hospital (CN), Lianyungang Oriental Hospital (CN), The First People’s Hospital of Lianyungang (CN), Second Affiliated Hospital of Nanjing Medical University (CN), Nanjing Medical University (CN)
Jiangsu Commission of Health, Government of Jiangsu Province, Major Research Plan
Good health and well-being
Openalex Percentile: Top 10%
Viral Infections and Vectors
2.79
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Retrospective Analysis of Severe Fever With Thrombocytopenia Syndrome and Construction of a Nomogram Prediction Model for Mortality Risk Factors — Jinhuan Wu, Yaowen Liang, et al. · Open Forum Infectious Diseases (2025) | TGRS Research Map | TGRS