Establishment of an Early Prediction Model for Severe Fever With Thrombocytopenia Syndrome‐Associated Encephalitis

Conclusion: The overall mortality rate of SFTS patients was 17.53%, and the mortality rate of encephalitis patients was 50%. Old age, high C-reactive protein, elevated d-dimer, and high viral load were independent risk factors for SFTSAE. The nomogram constructed based on these four indicators had good predictive ability and could be used as an evaluation tool for clinical treatment.

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Publication Details

Journal
Immunity Inflammation and Disease
Published
2024-12-01
DOI
https://doi.org/10.1002/iid3.70096
Citations
3
Primary Topic
Viral Infections and Vectors
Type
article
Field-Weighted Citation Impact
1.17

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article

Establishment of an Early Prediction Model for Severe Fever With Thrombocytopenia Syndrome‐Associated Encephalitis

Yu Liu, Chunyan He, Wenkui Yu, Z. H. Qin et al.
3 citations
Immunity Inflammation and Disease
Viral Infections and Vectors
1.17
article

Establishment of an Early Prediction Model for Severe Fever With Thrombocytopenia Syndrome‐Associated Encephalitis

Yu Liu, Chunyan He, Wenkui Yu, Z. H. Qin, Jiaqi Li, Naisheng Zhu, Ke Cao, Hongbo Zhang
article en
3 citations

Abstract

Conclusion: The overall mortality rate of SFTS patients was 17.53%, and the mortality rate of encephalitis patients was 50%. Old age, high C-reactive protein, elevated d-dimer, and high viral load were independent risk factors for SFTSAE. The nomogram constructed based on these four indicators had good predictive ability and could be used as an evaluation tool for clinical treatment.

Immunity Inflammation and DiseaseVol. 12(12)
Southwest Medical University (CN), Nanjing Drum Tower Hospital (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 20%
Viral Infections and Vectors
1.17
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