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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Validation of a Diagnostic Prediction Model for Neonatal Sepsis in a Low-Resource Setting, Ethiopia

Miteku Andualem Limenih, Destaye Shiferaw Alemu, Nahom Worku Teshager, Ayenew Molla Lakew
Journal of Epidemiology and Global Health
Neonatal and Maternal Infections
article

Development and Validation of a Diagnostic Prediction Model for Neonatal Sepsis in a Low-Resource Setting, Ethiopia

Miteku Andualem Limenih, Destaye Shiferaw Alemu, Nahom Worku Teshager, Ayenew Molla Lakew
article en

Abstract

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.

Journal of Epidemiology and Global HealthVol. 15(1)
University of Gondar (ET)
Openalex Percentile: Top 53%
Neonatal and Maternal Infections
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.