ArticlePloS one2023
Predictors of time to death among preterm neonates admitted to neonatal intensive care units at public hospitals in southern Ethiopia: A cohort study.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Preterm Neonatal Mortality and Its Associated Factors in Ethiopia: A Systematic Review and Meta-Analysis.Health science reports · 2026Review
- Article
- Incidence of mortality and its predictors among preterm neonates in nigist eleni mohammed memmorial comprehensive specialized hospital, Hossana, Ethiopia: a prospective follow-up study.BMC pediatrics · 2024Article
- Epidemiology of Early Neonatal Mortality in an Eastern Ethiopian NICU: Insights From Hiwot Fana Specialized University Hospital.Global pediatric health · 2024Article
- Incidence and Predictors of Mortality Among Preterm Neonates Admitted to Jimma University Medical Center, Southwest Ethiopia: a Retrospective Follow-Up Study.International journal of public health · 2024Article
- Neonatal Survival and Predictors of Mortality Among Neonates Admitted at Neonatal Intensive Care Unit in Ethiopia: A Prospective Cohort Study.SAGE open nursingArticle
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Authors and funding
7 authors at 3 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough the survival of preterm neonates has improved, thanks to advanced and specialized neonatal intensive care, it remains the main reason for neonatal admission, death, and risk of lifelong complication. In this study, we assessed time to death and its predictors among preterm neonates admitted to neonatal intensive care units (NICU) at public hospitals in southern Ethiopia.
methodsA hospital based retrospective cohort was conducted among preterm neonates admitted to NICU at public hospitals in west Guji and Borena zones, Oromia National Regional State, southern Ethiopia. Simple random sampling technique was used to select records of preterm neonates admitted to both major hospitals in the study area. Data on neonatal condition, obstetric information, and status at discharge were collected from admission to discharge by trained research assistant through review of their medical records. Kaplan Meir curve and Log rank test were used to estimate the survival time and compare survival curves between variables. Cox-Proportional Hazards model was used to identify significant predictors of time to death at p<0.05.
resultOf 510 neonates enrolled, 130(25.5%; 95% CI: 22-29) neonates died at discharge or 28days. The median survival time was 18 days with an interquartile range of (IQR = 6, 24). The overall incidence of neonatal mortality was 47.7 (95% CI: 40.2-56.7) per 1000 neonatal days. In the multivariable cox-proportional hazard analysis, lack of antenatal care (AHR: 7.1; 95%CI: 4-12.65), primipara (AHR: 2.3; 95% CI: 1.16-4.43), pregnancy complications (AHR: 3.4; 95% CI: 1.94-6.0), resuscitation at birth (AHR: 2.1, 95% CI: 0.28-0.77) and not receiving Kangaroo mother care (AHR: 9.3, 95% CI: 4.36-19.9) were predictors of preterm neonatal death.
conclusionDespite admission to NICU for advanced care and follow up, mortality of preterm neonates was found to be high in the study settings. Addressing major intrapartum complications is required to improve survival of neonates admitted to NICU.
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