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Determination of neonatal case-specific fatality rates in a tertiary health institution in North Central Nigeria
BACKGROUND: The current neonatal mortality rate in Nigeria (37/1000) is among the highest in the world and the major causes have consistently been reported as sepsis, perinatal asphyxia and prematurity. However, case-specific fatality which defines the risk of dying from these and other neonatal mor...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261923/ https://www.ncbi.nlm.nih.gov/pubmed/34233637 http://dx.doi.org/10.1186/s12887-021-02778-x |
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author | Audu, L. I. Otuneye, A. T. Mairami, A. B. Mukhtar-Yola, M. Mshelia, L. J. |
author_facet | Audu, L. I. Otuneye, A. T. Mairami, A. B. Mukhtar-Yola, M. Mshelia, L. J. |
author_sort | Audu, L. I. |
collection | PubMed |
description | BACKGROUND: The current neonatal mortality rate in Nigeria (37/1000) is among the highest in the world and the major causes have consistently been reported as sepsis, perinatal asphyxia and prematurity. However, case-specific fatality which defines the risk of dying from these and other neonatal morbidities is rarely emphasized. Determination of case-specific fatality rates (CSFR) may inform a change in our current approach to neonatal care interventions which may eventually bring about the much-needed reduction in our neonatal mortality rate. Our aim was to determine the case-specific fatality rates for the common causes of mortality among hospitalized neonates at the National Hospital Abuja (NHA). METHODS: Relevant demographic and clinical data on all neonates admitted into the NICU at the NHA over a period of 13 months (January 2017 to February 2018) were extracted from the Neonatal Registry database and analyzed using appropriate statistical methods with the SPSS version 20 software. The case-specific fatality rates were computed for the predominant morbidities in addition to determination of the neonatal mortality rates and associated risk factors. RESULTS AND CONCLUSION: A total of 730 neonates were admitted, out of which 391 (53.6%) were females, 396 (54.5%) were inborn and 396 (54.2%) were term. The three most prevalent morbidities were prematurity 272(37.2%), neonatal Jaundice 208(28.4%) and perinatal asphyxia 91(12.5%) while the most common causes of mortality were prematurity 47/113(41.6%), congenital malformations 27/113(23.9%) and perinatal asphyxia 26/113(23%). Congenital malformations had the highest case-specific fatality 27/83(32.5%) followed by Perinatal Asphyxia 26/91(28.6%) and prematurity 47/272(20.7%). The mortality pattern differed between inborn and out born babies. Implications of these case-specific fatality rates for targeted interventions are discussed. |
format | Online Article Text |
id | pubmed-8261923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82619232021-07-07 Determination of neonatal case-specific fatality rates in a tertiary health institution in North Central Nigeria Audu, L. I. Otuneye, A. T. Mairami, A. B. Mukhtar-Yola, M. Mshelia, L. J. BMC Pediatr Research BACKGROUND: The current neonatal mortality rate in Nigeria (37/1000) is among the highest in the world and the major causes have consistently been reported as sepsis, perinatal asphyxia and prematurity. However, case-specific fatality which defines the risk of dying from these and other neonatal morbidities is rarely emphasized. Determination of case-specific fatality rates (CSFR) may inform a change in our current approach to neonatal care interventions which may eventually bring about the much-needed reduction in our neonatal mortality rate. Our aim was to determine the case-specific fatality rates for the common causes of mortality among hospitalized neonates at the National Hospital Abuja (NHA). METHODS: Relevant demographic and clinical data on all neonates admitted into the NICU at the NHA over a period of 13 months (January 2017 to February 2018) were extracted from the Neonatal Registry database and analyzed using appropriate statistical methods with the SPSS version 20 software. The case-specific fatality rates were computed for the predominant morbidities in addition to determination of the neonatal mortality rates and associated risk factors. RESULTS AND CONCLUSION: A total of 730 neonates were admitted, out of which 391 (53.6%) were females, 396 (54.5%) were inborn and 396 (54.2%) were term. The three most prevalent morbidities were prematurity 272(37.2%), neonatal Jaundice 208(28.4%) and perinatal asphyxia 91(12.5%) while the most common causes of mortality were prematurity 47/113(41.6%), congenital malformations 27/113(23.9%) and perinatal asphyxia 26/113(23%). Congenital malformations had the highest case-specific fatality 27/83(32.5%) followed by Perinatal Asphyxia 26/91(28.6%) and prematurity 47/272(20.7%). The mortality pattern differed between inborn and out born babies. Implications of these case-specific fatality rates for targeted interventions are discussed. BioMed Central 2021-07-07 /pmc/articles/PMC8261923/ /pubmed/34233637 http://dx.doi.org/10.1186/s12887-021-02778-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Audu, L. I. Otuneye, A. T. Mairami, A. B. Mukhtar-Yola, M. Mshelia, L. J. Determination of neonatal case-specific fatality rates in a tertiary health institution in North Central Nigeria |
title | Determination of neonatal case-specific fatality rates in a tertiary health institution in North Central Nigeria |
title_full | Determination of neonatal case-specific fatality rates in a tertiary health institution in North Central Nigeria |
title_fullStr | Determination of neonatal case-specific fatality rates in a tertiary health institution in North Central Nigeria |
title_full_unstemmed | Determination of neonatal case-specific fatality rates in a tertiary health institution in North Central Nigeria |
title_short | Determination of neonatal case-specific fatality rates in a tertiary health institution in North Central Nigeria |
title_sort | determination of neonatal case-specific fatality rates in a tertiary health institution in north central nigeria |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261923/ https://www.ncbi.nlm.nih.gov/pubmed/34233637 http://dx.doi.org/10.1186/s12887-021-02778-x |
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