Early prediction of sepsis in emergency department patients using various methods and scoring systems
The proposed model may assist nurses in risk stratification management and prioritize interventions for potential sepsis patients, even in low-resource settings.
Authors
- Hao‐Neng Huang
- Yuegang Song (ORCID: https://orcid.org/0000-0003-0433-625X)
- Jiajun Ma (ORCID: https://orcid.org/0000-0002-1384-1445)
- Li Li (ORCID: https://orcid.org/0000-0003-4802-8689)
- Jin Zhou (ORCID: https://orcid.org/0000-0002-7741-0046)
- Chun‐Quan Ou (ORCID: https://orcid.org/0000-0001-6866-7213)
- Young-Gi Song
- Rui Xing (ORCID: https://orcid.org/0009-0009-8100-8859)
Institutions
- Jinan University (CN)
- Second Affiliated Hospital of Guangzhou Medical University (CN)
- TCM-Intigrated Cancer Center of Southern Medical University (CN)
- Southern Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Nursing in Critical Care
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1111/nicc.13201
- Citations
- 4
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.55
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province