Combining host immune response biomarkers and clinical scores for early prediction of sepsis in infection patients

Patients exhibiting low severity signs of infection but high IL-10 levels showed an elevated probability of developing sepsis. Combining IL-10 with the NEWS score provides a reliable tool for predicting the progression from infection to sepsis at an early stage. Utilizing IL-6 in the emergency room can help identify patients with low NEWS or SIRS scores.

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Publication Details

Journal
Annals of Medicine
Published
2024-08-30
DOI
https://doi.org/10.1080/07853890.2024.2396569
Citations
6
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.32

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article

Combining host immune response biomarkers and clinical scores for early prediction of sepsis in infection patients

Wenqian Deng, Dongyuan He, Zhe Xu, Xiaoming Zhou et al.
6 citations
Annals of Medicine
Sepsis Diagnosis and Treatment
2.32
article

Combining host immune response biomarkers and clinical scores for early prediction of sepsis in infection patients

Wenqian Deng, Dongyuan He, Zhe Xu, Xiaoming Zhou, Jie Weng, Chen Liu, Liang Wang, Zhiyi Wang, Chan Chen, Jingwen Yang, Hao Wu, Qianhui Cheng, Jiaying Lin, Jiaze Song, Haijuan Jin
article en
6 citations

Abstract

Patients exhibiting low severity signs of infection but high IL-10 levels showed an elevated probability of developing sepsis. Combining IL-10 with the NEWS score provides a reliable tool for predicting the progression from infection to sepsis at an early stage. Utilizing IL-6 in the emergency room can help identify patients with low NEWS or SIRS scores.

Annals of MedicineVol. 56(1)
Baylor University (US), Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University (CN), Wenzhou Central Hospital (CN), Wenzhou Institute of Technology Testing & Calibration (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 11%
Sepsis Diagnosis and Treatment
2.32
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