Evidence map›Paper›PMID 41996461›Full record

ArticlePloS one2026

Survival status and predictors of mortality among preterm neonates admitted to the neonatal intensive care unit at public hospitals of Harari region and Dire Dawa administration, eastern Ethiopia: Retrospective cohort study 2025.

Boru Abera Ebsa, Maleda Tefera, Dawit Tamiru, Abraham Negash, Naol Oda, Merga Dheresa

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Article in PloS one, 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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5 · Who and what money

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6 authors.

Boru Abera EbsaSchool of Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.ORCID https://orcid.org/0009-0005-8597-0042
Maleda TeferaSchool of Nursing, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Dawit TamiruSchool of Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Abraham NegashSchool of Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Naol OdaSchool of Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
Merga DheresaSchool of Nursing, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe neonatal period is the most vulnerable time for an infant's survival, particularly for preterm neonates. Preterm birth is among the leading causes of neonatal mortality. Many neonatal complications can be prevented, but preterm birth remains a leading cause of admission, death, and long-term complications, highlighting the need for further research on outcome and survival disparities across populations and settings. Therefore, this study aimed to assess survival status and predictors of mortality among preterm neonates admitted to neonatal intensive care units at public hospitals in the Harari region and Dire Dawa administration, Eastern Ethiopia, from November 1, 2021 to October 30, 2024.

methodsThe hospital-based retrospective cohort study was conducted among preterm neonates admitted to the neonatal intensive care unit at public hospitals of the Harari region and Dire Dawa administration, Eastern Ethiopia. A simple random sampling technique was used, and data were extracted from neonates' medical records and registration formats using a structured checklist prepared in English. Descriptive statistics, life table, Kaplan-Meier curves, and Log-rank test were used to estimate and compare survival time. Predictors of mortality were identified using the Cox Proportional Hazard model.

resultsOut of 612 preterm neonates, 205 (33.5%; 95% CI: 29.76-37.39) died, corresponding to an incidence rate of 52.76 deaths per 1,000 preterm neonate-days (95% CI: 46.01-60.50), with a median survival time of 18 days. As multivariable cox-regression result,  ≥ 4 antenatal care contact (AHR = 0.56; 95% CI: 0.36-0.89), receiving KMC (AHR = 0.16; 95% CI: 0.09-0.27), 5th minute APGAR score <7 (AHR = 1.80; 95% CI: 1.22-2.66), PNA (AHR = 1.55; 95 CI: 1.08-2.22), resuscitation with bag and mask at birth (AHR = 1.59; 95% CI: 1.10-2.29), RDS (AHR = 1.75; 95% CI: 1.22-2.51), born in non-cephalic presentation (AHR = 1.68; 95% CI: 1.12-2.53), and neonatal sepsis (AHR = 1.58; 95% CI: 1.09-2.28) were identified as significant predictors of preterm neonates mortality.

conclusionThe incidence of preterm neonatal mortality was high in this study. Adequate Antenatal care (ANC) and kangaroo mother care (KMC) significantly improved preterm survival, while low APGAR score, resuscitation with bag and mask, neonatal sepsis, PNA, and RDS were major predictors of preterm neonatal death. Emphasis should be placed on strengthening antenatal and perinatal care, along with early detection and management of identified neonatal complications.

Indexed as

Infant MortalityInfant, PrematureIntensive Care Units, NeonatalEthiopiaFemaleHospitals, PublicHumansInfantInfant, NewbornMalePremature BirthProportional Hazards ModelsRetrospective Studies

Identifiers

PMID41996461
PMCPMC13089889

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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.