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Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia

BACKGROUND: Although respiratory distress is one of the major causes of neonatal morbidity and mortality throughout the globe, it is a particularly serious concern for nations like Ethiopia that have significant resource limitations. Additionally, few studies have looked at neonatal respiratory dist...

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Autores principales: Aynalem, Yared Asmare, Mekonen, Hussien, Akalu, Tadesse Yirga, Habtewold, Tesfa Dejenie, Endalamaw, Aklilu, Petrucka, Pammla Margaret, Shiferaw, Wondimeneh Shibabaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329073/
https://www.ncbi.nlm.nih.gov/pubmed/32609748
http://dx.doi.org/10.1371/journal.pone.0235544
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author Aynalem, Yared Asmare
Mekonen, Hussien
Akalu, Tadesse Yirga
Habtewold, Tesfa Dejenie
Endalamaw, Aklilu
Petrucka, Pammla Margaret
Shiferaw, Wondimeneh Shibabaw
author_facet Aynalem, Yared Asmare
Mekonen, Hussien
Akalu, Tadesse Yirga
Habtewold, Tesfa Dejenie
Endalamaw, Aklilu
Petrucka, Pammla Margaret
Shiferaw, Wondimeneh Shibabaw
author_sort Aynalem, Yared Asmare
collection PubMed
description BACKGROUND: Although respiratory distress is one of the major causes of neonatal morbidity and mortality throughout the globe, it is a particularly serious concern for nations like Ethiopia that have significant resource limitations. Additionally, few studies have looked at neonatal respiratory distress and its predictors in developing countries, and thus we sought to investigate this issue in neonates who were admitted to the Neonatal Intensive Care Unit at Black Lion Specialized Hospital, Ethiopia. METHODS: An institution-based retrospective follow-up study was conducted with 571 neonates from January 2013 to March 2018. Data were collected by reviewing patients’ charts using a systematic sampling technique with a pretested checklist. The data was then entered using Epi-data 4.2 and analyzed with STATA 14. Median time, Kaplan-Meier survival estimation curves, and log-rank tests were then computed. Bivariable and multivariable Gompertz parametric hazard models were fitted to detect the determinants of respiratory distress. The hazard ratio with a 95% confidence interval was subsequently calculated. Variables with reported p-values < 0.05 were considered statistically significant. RESULTS: The proportion of neonates with respiratory distress among those admitted to the Black Lion Specialized Hospital neonatal intensive care unit was 42.9% (95%CI: 39.3–46.1%) The incidence rate was 8.1/100 (95%CI: 7.3, 8.9). Significant predictors of respiratory distress in neonates included being male [Adjusted hazard ratio (HR): 2.4 (95%CI: 1.1, 3.1)], born via caesarean section [AHR: 1.9 (95%CI: 1.6, 2.3)], home delivery [AHR: 2.9 (95%CI: 1.5, 5,2)], maternal diabetes mellitus (AHR: 2.3 (95%CI: 1.4, 3.6)), preterm birth [AHR: 2.9 (95%CI: 1.6, 5.1)], and having an Apgar score of less than 7 [AHR: 3.1 (95%CI: 1.8, 5.0)]. CONCLUSIONS: In this study, the proportion of respiratory distress (RD) was high. Preterm birth, delivery by caesarean section, Apgar score < 7, sepsis, maternal diabetes mellitus, and home delivery were all significant predictors of this condition. Based on our findings this would likely include encouraging more hospital births, better control of diabetes in pregnancy, improved neonatal resuscitation and addressing ways to decrease the need for frequent caesarean sections.
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spelling pubmed-73290732020-07-14 Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia Aynalem, Yared Asmare Mekonen, Hussien Akalu, Tadesse Yirga Habtewold, Tesfa Dejenie Endalamaw, Aklilu Petrucka, Pammla Margaret Shiferaw, Wondimeneh Shibabaw PLoS One Research Article BACKGROUND: Although respiratory distress is one of the major causes of neonatal morbidity and mortality throughout the globe, it is a particularly serious concern for nations like Ethiopia that have significant resource limitations. Additionally, few studies have looked at neonatal respiratory distress and its predictors in developing countries, and thus we sought to investigate this issue in neonates who were admitted to the Neonatal Intensive Care Unit at Black Lion Specialized Hospital, Ethiopia. METHODS: An institution-based retrospective follow-up study was conducted with 571 neonates from January 2013 to March 2018. Data were collected by reviewing patients’ charts using a systematic sampling technique with a pretested checklist. The data was then entered using Epi-data 4.2 and analyzed with STATA 14. Median time, Kaplan-Meier survival estimation curves, and log-rank tests were then computed. Bivariable and multivariable Gompertz parametric hazard models were fitted to detect the determinants of respiratory distress. The hazard ratio with a 95% confidence interval was subsequently calculated. Variables with reported p-values < 0.05 were considered statistically significant. RESULTS: The proportion of neonates with respiratory distress among those admitted to the Black Lion Specialized Hospital neonatal intensive care unit was 42.9% (95%CI: 39.3–46.1%) The incidence rate was 8.1/100 (95%CI: 7.3, 8.9). Significant predictors of respiratory distress in neonates included being male [Adjusted hazard ratio (HR): 2.4 (95%CI: 1.1, 3.1)], born via caesarean section [AHR: 1.9 (95%CI: 1.6, 2.3)], home delivery [AHR: 2.9 (95%CI: 1.5, 5,2)], maternal diabetes mellitus (AHR: 2.3 (95%CI: 1.4, 3.6)), preterm birth [AHR: 2.9 (95%CI: 1.6, 5.1)], and having an Apgar score of less than 7 [AHR: 3.1 (95%CI: 1.8, 5.0)]. CONCLUSIONS: In this study, the proportion of respiratory distress (RD) was high. Preterm birth, delivery by caesarean section, Apgar score < 7, sepsis, maternal diabetes mellitus, and home delivery were all significant predictors of this condition. Based on our findings this would likely include encouraging more hospital births, better control of diabetes in pregnancy, improved neonatal resuscitation and addressing ways to decrease the need for frequent caesarean sections. Public Library of Science 2020-07-01 /pmc/articles/PMC7329073/ /pubmed/32609748 http://dx.doi.org/10.1371/journal.pone.0235544 Text en © 2020 Aynalem et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Aynalem, Yared Asmare
Mekonen, Hussien
Akalu, Tadesse Yirga
Habtewold, Tesfa Dejenie
Endalamaw, Aklilu
Petrucka, Pammla Margaret
Shiferaw, Wondimeneh Shibabaw
Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia
title Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia
title_full Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia
title_fullStr Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia
title_full_unstemmed Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia
title_short Incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, Black Lion Specialized Hospital, Addis Ababa, Ethiopia
title_sort incidence of respiratory distress and its predictors among neonates admitted to the neonatal intensive care unit, black lion specialized hospital, addis ababa, ethiopia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329073/
https://www.ncbi.nlm.nih.gov/pubmed/32609748
http://dx.doi.org/10.1371/journal.pone.0235544
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