Development and Validation of a Diagnostic Prediction Model for Neonatal Sepsis in a Low-Resource Setting, Ethiopia
We developed a diagnostic prediction model for neonatal sepsis, demonstrating good discrimination, high sensitivity, and negative predictive value, with a modest positive likelihood ratio, reflecting its utility for ruling in or out sepsis. The model can be incorporated into routine neonatal care practices and quality improvement initiatives following external validation.
Authors
- Miteku Andualem Limenih (ORCID: https://orcid.org/0000-0002-6273-0303)
- Destaye Shiferaw Alemu (ORCID: https://orcid.org/0000-0003-3044-5177)
- Nahom Worku Teshager
- Ayenew Molla Lakew (ORCID: https://orcid.org/0000-0003-3648-9891)
Institutions
- University of Gondar (ET)
Publication Details
- Journal
- Journal of Epidemiology and Global Health
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1007/s44197-025-00486-8
- Primary Topic
- Neonatal and Maternal Infections
- Type
- article
- Field-Weighted Citation Impact
- 0.00