Real-time risk prediction model for sepsis in patients with acute gastrointestinal bleeding: development and multicenter validation of a dynamic monitoring tool

The National Key R&D Program of China, the National Natural Science Foundation Project of China, the Knowledge Innovation Program of Wuhan, and the Cross Innovation Talent Project of Renmin Hospital of Wuhan University.

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Publication Details

Journal
EClinicalMedicine
Published
2025-10-25
DOI
https://doi.org/10.1016/j.eclinm.2025.103574
Citations
1
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.35
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article

Real-time risk prediction model for sepsis in patients with acute gastrointestinal bleeding: development and multicenter validation of a dynamic monitoring tool

Qingyuan Wang, Chencui Huang, Dan Hu, Zhou Liu et al.
1 citations
EClinicalMedicine
Sepsis Diagnosis and Treatment
1.35
article

Real-time risk prediction model for sepsis in patients with acute gastrointestinal bleeding: development and multicenter validation of a dynamic monitoring tool

Qingyuan Wang, Chencui Huang, Dan Hu, Zhou Liu, Hong-Yi Duan, Shengnan Sun, Fei Quan, Jingxu Xu, Xiaoshu Zuo, Héctor Barajas-Martínez, Guijun Jiang, Liying Zhan, Di Zhang, Tzu-En Peng
article en
1 citations

Abstract

The National Key R&D Program of China, the National Natural Science Foundation Project of China, the Knowledge Innovation Program of Wuhan, and the Cross Innovation Talent Project of Renmin Hospital of Wuhan University.

EClinicalMedicineVol. 90
Qingdao University (CN), Lankenau Institute for Medical Research (US), Wuhan University (CN), Lankenau Heart Institute (US), Affiliated Hospital of Qingdao University (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), Renmin Hospital of Wuhan University (CN), Center for High Pressure Science & Technology Advanced Research (CN), Qilu Hospital of Shandong University (CN), Xiang Yang No.1 People's Hospital (CN)
Openalex Percentile: Top 14%
Sepsis Diagnosis and Treatment
1.35
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