Evidence map›Paper›PMID 42902258›Full record

Observational studyBMC pediatrics2026

Incidence and predictors of early neonatal mortality among neonates admitted to neonatal intensive care units in public general hospitals in Northwest Ethiopia: a multicenter prospective cohort study.

Yusuf Adem Melese, Destaye Guadie Kassie, Sofiya Hamid Agumas, Habtamu Sewunet Mekonnen

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yusuf Adem MeleseDepartment of Neonatal Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. yusufadem1815@gmail.com.
Destaye Guadie KassieDepartment of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Sofiya Hamid AgumasDepartment of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Habtamu Sewunet MekonnenDepartment of Medical Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly neonatal mortality remains a major public health concern in Ethiopia, particularly among high-risk neonates requiring intensive care. However, prospective evidence from general hospital settings is limited. This study aimed to determine the incidence and predictors of early neonatal mortality among neonates admitted to neonatal intensive care units in Northwest Ethiopia.

methodsA multicenter prospective cohort study was conducted in seven public general hospitals from April 11 to July 14, 2025. Neonates aged < 7 days were followed from NICU admission until death, discharge, or completion of seven days of life. Data were collected using structured interviews and chart reviews. Modified Poisson regression with robust variance was used to identify predictors of early neonatal mortality. Variables with a p-value < 0.2 in bivariable analysis were included in the multivariable analysis. Multicollinearity was assessed using the Variance Inflation Factor (VIF). Adjusted risk ratios (ARR) with 95% confidence intervals (CIs) were reported. Statistical significance was set at a p-value < 0.05.

resultOf the 380 enrolled neonates, 369 (97.1%) were included in the final analysis. Most neonates (86%) were admitted within the first 24 h of life, and 55.6% were male. A total of 63 deaths occurred during follow-up, yielding a cumulative incidence proportion of 17.1% (95% CI: 13.2-20.9). Independent predictors of early neonatal mortality included prolonged rupture of membranes ≥ 12 h (ARR: 2.48; 95% CI: 1.58-3.88), perinatal asphyxia (ARR: 2.31; 95% CI: 1.42-3.75), prematurity (ARR: 2.11; 95% CI: 1.15-3.88), and early-onset neonatal sepsis (ARR: 1.92; 95% CI: 1.16-3.16).

conclusionEarly neonatal mortality remains high among general hospital-admitted neonates in Northwest Ethiopia and is strongly associated with preventable maternal and neonatal predictors. Strengthening obstetric care, neonatal resuscitation, and infection prevention strategies is essential to reduce mortality. However, these findings are specific to NICU-admitted populations and should not be interpreted as population-level estimates.

Indexed as

Infant MortalityIntensive Care Units, NeonatalEthiopiaFemaleHospitals, GeneralHospitals, PublicHumansIncidenceInfant, NewbornMaleProspective StudiesRisk FactorsEarly neonatal mortalityGeneral hospitalNeonatal intensive care unitNorthwest EthiopiaPredictor

Identifiers

PMID42902258
PMCPMC13685279

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.