Ontology highlight
ABSTRACT: Background
Neonatal sepsis is a major contributor to neonatal mortality in low- and middle-income countries. Globally, rapid diagnosis and treatment are often a challenge, and standard antibiotic therapy is threatened by antimicrobial resistance (AMR). This study quantifies the predictors of healthcare-associated neonatal sepsis in Amhara, Ethiopia.Methods
This prospective cohort study recruited normal and low birth weight (LBW) neonates from two hospitals. Neonates with suspected healthcare-associated sepsis had blood cultures drawn to identify the organisms and AMR patterns. We used univariable and multivariable logistic regression to determine risk factors for culture-confirmed sepsis. Next, we performed marginal effects analysis to create a clinical tool for prospective
SUBMITTER: Najjar N
PROVIDER: S-EPMC12396969 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature