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Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea

BACKGROUND: Limited knowledge on the magnitude of neonatal mortality and associated factors is hampering early intervention in African countries. Objective: To determine neonatal mortality and associated factors in the Specialized Neonatal Care Unit Asmara, Eritrea. METHODS: Medical records of all n...

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Autores principales: Andegiorgish, Amanuel Kidane, Andemariam, Mihreteab, Temesghen, Sabela, Ogbai, Liya, Ogbe, Zemichael, Zeng, Lingxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945585/
https://www.ncbi.nlm.nih.gov/pubmed/31907008
http://dx.doi.org/10.1186/s12889-019-8118-x
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author Andegiorgish, Amanuel Kidane
Andemariam, Mihreteab
Temesghen, Sabela
Ogbai, Liya
Ogbe, Zemichael
Zeng, Lingxia
author_facet Andegiorgish, Amanuel Kidane
Andemariam, Mihreteab
Temesghen, Sabela
Ogbai, Liya
Ogbe, Zemichael
Zeng, Lingxia
author_sort Andegiorgish, Amanuel Kidane
collection PubMed
description BACKGROUND: Limited knowledge on the magnitude of neonatal mortality and associated factors is hampering early intervention in African countries. Objective: To determine neonatal mortality and associated factors in the Specialized Neonatal Care Unit Asmara, Eritrea. METHODS: Medical records of all neonates admitted to the Specialized Neonatal Care Unit in 2016 were reviewed using a cross-sectional study. The most important causes of admission and mortality were analyzed. Univariate and multivariate logistic regression analysis was used to evaluate the strength of risk factors associated with neonatal mortality. Variables significant at P < 0.20 level in the univariate analysis were retained in the multivariate model. Model fit was evaluated using Hosmer and Lemeshow test (Chi-square = 12.89, df = 8; P = 0.116), implies the model’s estimates fit the data at an acceptable level. Collinearity was assessed using variance inflation factor (VIF) < 4. P-value < 0.05 was considered statistically significant. RESULTS: Of the 1204 (59.9% boys and 40.1% girls) neonates admitted in 2016, 79 (65.6/1000 live births) died. The major causes of admission were sepsis (35.5%), respiratory distress syndrome (15.4%) and perinatal asphyxia (10%). Major causes of death were respiratory distress syndrome (48.1%); extremely low birth weight (40.9%) and very low birth weight (30.5%). After adjustment, low birth weight (Adjusted odds ratio (AOR) = 4.55, 95% CI,1.97–10.50), very low birth weight (AOR = 19.24, 95% CI, 5.80–63.78), late admission (24 h after diagnosis) (AOR = 2.96, 95% CI, 1.34–6.52), apgar score (in 1 min AOR = 2.28, 95% CI, 1.09–4.76, in 5 min AOR = 2.07, 95% CI, 1.02–4.22), and congenital abnormalities (AOR = 3.95, 95% CI, 1.59–9.85) were significantly associated with neonatal mortality. Neonates that stayed > 24 h in the Specialized Neonatal Care Unit (AOR = 0.23, 95% CI, 0.11–0.46) had a lower likelihood of death. Overall 95.8% of mothers of neonates attended antenatal care and 96.6% were facility delivered. None of the maternal conditions were associated with neonatal mortality in this study. CONCLUSIONS: Low birth weight, late admission, low apgar scores and congenital abnormalities were significantly associated with neonatal mortality in the Specialized Neonatal Care Unit. Early management of low birth weight, preterm births, and neonatal complications should be the priority issues for controlling local neonatal deaths.
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spelling pubmed-69455852020-01-07 Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea Andegiorgish, Amanuel Kidane Andemariam, Mihreteab Temesghen, Sabela Ogbai, Liya Ogbe, Zemichael Zeng, Lingxia BMC Public Health Research Article BACKGROUND: Limited knowledge on the magnitude of neonatal mortality and associated factors is hampering early intervention in African countries. Objective: To determine neonatal mortality and associated factors in the Specialized Neonatal Care Unit Asmara, Eritrea. METHODS: Medical records of all neonates admitted to the Specialized Neonatal Care Unit in 2016 were reviewed using a cross-sectional study. The most important causes of admission and mortality were analyzed. Univariate and multivariate logistic regression analysis was used to evaluate the strength of risk factors associated with neonatal mortality. Variables significant at P < 0.20 level in the univariate analysis were retained in the multivariate model. Model fit was evaluated using Hosmer and Lemeshow test (Chi-square = 12.89, df = 8; P = 0.116), implies the model’s estimates fit the data at an acceptable level. Collinearity was assessed using variance inflation factor (VIF) < 4. P-value < 0.05 was considered statistically significant. RESULTS: Of the 1204 (59.9% boys and 40.1% girls) neonates admitted in 2016, 79 (65.6/1000 live births) died. The major causes of admission were sepsis (35.5%), respiratory distress syndrome (15.4%) and perinatal asphyxia (10%). Major causes of death were respiratory distress syndrome (48.1%); extremely low birth weight (40.9%) and very low birth weight (30.5%). After adjustment, low birth weight (Adjusted odds ratio (AOR) = 4.55, 95% CI,1.97–10.50), very low birth weight (AOR = 19.24, 95% CI, 5.80–63.78), late admission (24 h after diagnosis) (AOR = 2.96, 95% CI, 1.34–6.52), apgar score (in 1 min AOR = 2.28, 95% CI, 1.09–4.76, in 5 min AOR = 2.07, 95% CI, 1.02–4.22), and congenital abnormalities (AOR = 3.95, 95% CI, 1.59–9.85) were significantly associated with neonatal mortality. Neonates that stayed > 24 h in the Specialized Neonatal Care Unit (AOR = 0.23, 95% CI, 0.11–0.46) had a lower likelihood of death. Overall 95.8% of mothers of neonates attended antenatal care and 96.6% were facility delivered. None of the maternal conditions were associated with neonatal mortality in this study. CONCLUSIONS: Low birth weight, late admission, low apgar scores and congenital abnormalities were significantly associated with neonatal mortality in the Specialized Neonatal Care Unit. Early management of low birth weight, preterm births, and neonatal complications should be the priority issues for controlling local neonatal deaths. BioMed Central 2020-01-06 /pmc/articles/PMC6945585/ /pubmed/31907008 http://dx.doi.org/10.1186/s12889-019-8118-x Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Andegiorgish, Amanuel Kidane
Andemariam, Mihreteab
Temesghen, Sabela
Ogbai, Liya
Ogbe, Zemichael
Zeng, Lingxia
Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea
title Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea
title_full Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea
title_fullStr Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea
title_full_unstemmed Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea
title_short Neonatal mortality and associated factors in the specialized neonatal care unit Asmara, Eritrea
title_sort neonatal mortality and associated factors in the specialized neonatal care unit asmara, eritrea
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945585/
https://www.ncbi.nlm.nih.gov/pubmed/31907008
http://dx.doi.org/10.1186/s12889-019-8118-x
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