Evidence map›Paper›PMID 42100758›Full record

ArticleHealth science reports2026

Time to Death and Predictors of Mortality in Neonates Admitted to Tibebe Ghion Referral Hospital, Neonatal Intensive Care Unit in Northwest Ethiopia: A Retrospective Follow-Up Study.

Gebiyaw Wudie Tsegaye, Maru Birhanu Addis, Kindie Fentahun Muchie

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Article in Health science reports, 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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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

3 authors.

Gebiyaw Wudie TsegayeDepartments of Epidemiology and Biostatistics, College of Medicine and Health Sciences Bahir Dar University Bahir Dar Ethiopia.ORCID https://orcid.org/0000-0002-8522-6193
Maru Birhanu AddisDepartments of Epidemiology and Biostatistics, College of Medicine and Health Sciences Bahir Dar University Bahir Dar Ethiopia.
Kindie Fentahun MuchieDepartments of Epidemiology and Biostatistics, College of Medicine and Health Sciences Bahir Dar University Bahir Dar Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: The first 28 days of life, the neonatal period, represent a phase of heightened vulnerability for infant survival globally. Despite advancements in medical interventions and increased healthcare access, a substantial number of newborns continue to succumb to preventable causes annually. This study aimed to ascertain the time to death and its associated factors among neonates admitted to the Neonatal Intensive Care Unit (NICU) at Tibebe Ghion Specialized Hospital, Ethiopia. Methods: A retrospective follow-up design was employed, encompassing 385 neonates admitted to the NICU of Tibebe Ghion Specialized Hospital between September 11, 2022 and September 5, 2023. Data were extracted from patient records using a standardized checklist. The outcome was time to death, with surviving neonates considered censored. Data were analyzed using STATA version 17. Kaplan-Meier survival curves analyses were used to estimate the probability of death over time. A Cox proportional hazards model was utilized to identify independent predictors of neonatal mortality. Variables with a Results: Among the 385 neonates, 12.73% experienced mortality, yielding an incidence rate of 43.80 deaths per 1000 neonatal days (95% CI: 0.03-0.06). The median time to death for neonates was 7 days (95% CI: 6.00, 8.00). After multivariable adjustment, respiratory distress syndrome (Adjusted Hazard Ratio [AHR]: 3.00; 95% CI: 1.27-7.75), congenital anomalies (AHR: 2.90; 95% CI: 1.42-5.91), very low birth weight (AHR: 2.50; 95% CI: 1.18-5.28), and gestational diabetes mellitus (AHR: 4.00; 95% CI: 1.76-9.67) were identified as significant independent predictors of neonatal death. Conclusion: The incidence of neonatal mortality observed in this setting was notable. Respiratory distress syndrome, congenital anomalies, very low birth weight, and gestational diabetes mellitus were found to be independently associated with an increased risk of neonatal death.

Indexed as

neonatal intensive care unitneonatal mortalitysurvival analysisTibebe Ghion Specialized Hospitaltime to death

Identifiers

PMID42100758
PMCPMC13144749

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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.