Construction and verification of a risk factor prediction model for neonatal severe pneumonia
The prediction model based on respiratory rate, weight, CRP, NEU, HGB, UA, and BUN has shown promising predictive value in distinguishing between mild to moderate pneumonia and severe pneumonia in neonates.
Authors
- Kaijie Gao
- Junmei Yang (ORCID: https://orcid.org/0000-0003-4442-5580)
- Zhiming Shan (ORCID: https://orcid.org/0000-0002-4575-3933)
- Jiajia Ni (ORCID: https://orcid.org/0000-0002-8875-4899)
- Shanshan Wang (ORCID: https://orcid.org/0000-0003-3881-0087)
- Jianying Xu
- Ying Shi (ORCID: https://orcid.org/0000-0002-5195-204X)
- Hongqi Sun
- Weihua Gong (ORCID: https://orcid.org/0000-0003-0473-7512)
Institutions
- Zhengzhou Children's Hospital (CN)
- Third Affiliated Hospital of Zhengzhou University (CN)
- Guangzhou Electronic Technology (China) (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-06-02
- DOI
- https://doi.org/10.3389/fmed.2025.1536705
- Primary Topic
- Pneumonia and Respiratory Infections
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Zhengzhou University