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Incidence, risk factors and consequences of preterm birth – findings from a multi-centric observational study for 14 months in Nepal

BACKGROUND: Preterm birth is a worldwide epidemic and a leading cause of neonatal mortality. In this study, we aimed to evaluate the incidence, risk factors and consequences of preterm birth in Nepal. METHODS: This was an observational study conducted in 12 public hospitals of Nepal. All the babies...

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Autores principales: Gurung, Abhishek, Wrammert, Johan, Sunny, Avinash K., Gurung, Rejina, Rana, Netra, Basaula, Yuba Nidhi, Paudel, Prajwal, Pokhrel, Amrit, KC, Ashish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368758/
https://www.ncbi.nlm.nih.gov/pubmed/32695337
http://dx.doi.org/10.1186/s13690-020-00446-7
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author Gurung, Abhishek
Wrammert, Johan
Sunny, Avinash K.
Gurung, Rejina
Rana, Netra
Basaula, Yuba Nidhi
Paudel, Prajwal
Pokhrel, Amrit
KC, Ashish
author_facet Gurung, Abhishek
Wrammert, Johan
Sunny, Avinash K.
Gurung, Rejina
Rana, Netra
Basaula, Yuba Nidhi
Paudel, Prajwal
Pokhrel, Amrit
KC, Ashish
author_sort Gurung, Abhishek
collection PubMed
description BACKGROUND: Preterm birth is a worldwide epidemic and a leading cause of neonatal mortality. In this study, we aimed to evaluate the incidence, risk factors and consequences of preterm birth in Nepal. METHODS: This was an observational study conducted in 12 public hospitals of Nepal. All the babies born during the study period were included in the study. Babies born < 37 weeks of gestation were classified as preterm births. For the association and outcomes for preterm birth, univariate followed by multiple regression analysis was conducted. RESULTS: The incidence of preterm was found to be 93 per 1000 live births. Mothers aged less than 20 years (aOR 1.26;1.15–1.39) had a high risk for preterm birth. Similarly, education of the mother was a significant predictor for preterm birth: illiterate mothers (aOR 1.41; 1.22–1.64), literate mothers (aOR 1.21; 1.08–1.35) and mothers having basic level of education (aOR 1.17; 1.07–1.27). Socio-demographic factors such as smoking (aOR 1.13; 1.01–1.26), use of polluted fuel (aOR 1.26; 1.17–1.35) and sex of baby (aOR 1.18; 1.11–1.26); obstetric factors such as nulliparity (aOR 1.33; 1.20–1.48), multiple delivery (aOR 6.63; 5.16–8.52), severe anemia during pregnancy (aOR 3.27; 2.21–4.84), antenatal visit during second trimester (aOR 1.13; 1.05–1.22) and third trimester (aOR 1.24; 1.12–1.38), < 4 antenatal visits during pregnancy (aOR 1.49; 1.38–1.61) were found to be significant risk factors of preterm birth. Preterm has a risk for pre-discharge mortality (10.60; 9.28–12.10). CONCLUSION: In this study, we found high incidence of preterm birth. Various socio-demographic, obstetric and neonatal risk factors were associated with preterm birth. Risk factor modifications and timely interventions will help in the reduction of preterm births and associated mortalities. TRIAL REGISTRATION: ISRCTN30829654.
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spelling pubmed-73687582020-07-20 Incidence, risk factors and consequences of preterm birth – findings from a multi-centric observational study for 14 months in Nepal Gurung, Abhishek Wrammert, Johan Sunny, Avinash K. Gurung, Rejina Rana, Netra Basaula, Yuba Nidhi Paudel, Prajwal Pokhrel, Amrit KC, Ashish Arch Public Health Research BACKGROUND: Preterm birth is a worldwide epidemic and a leading cause of neonatal mortality. In this study, we aimed to evaluate the incidence, risk factors and consequences of preterm birth in Nepal. METHODS: This was an observational study conducted in 12 public hospitals of Nepal. All the babies born during the study period were included in the study. Babies born < 37 weeks of gestation were classified as preterm births. For the association and outcomes for preterm birth, univariate followed by multiple regression analysis was conducted. RESULTS: The incidence of preterm was found to be 93 per 1000 live births. Mothers aged less than 20 years (aOR 1.26;1.15–1.39) had a high risk for preterm birth. Similarly, education of the mother was a significant predictor for preterm birth: illiterate mothers (aOR 1.41; 1.22–1.64), literate mothers (aOR 1.21; 1.08–1.35) and mothers having basic level of education (aOR 1.17; 1.07–1.27). Socio-demographic factors such as smoking (aOR 1.13; 1.01–1.26), use of polluted fuel (aOR 1.26; 1.17–1.35) and sex of baby (aOR 1.18; 1.11–1.26); obstetric factors such as nulliparity (aOR 1.33; 1.20–1.48), multiple delivery (aOR 6.63; 5.16–8.52), severe anemia during pregnancy (aOR 3.27; 2.21–4.84), antenatal visit during second trimester (aOR 1.13; 1.05–1.22) and third trimester (aOR 1.24; 1.12–1.38), < 4 antenatal visits during pregnancy (aOR 1.49; 1.38–1.61) were found to be significant risk factors of preterm birth. Preterm has a risk for pre-discharge mortality (10.60; 9.28–12.10). CONCLUSION: In this study, we found high incidence of preterm birth. Various socio-demographic, obstetric and neonatal risk factors were associated with preterm birth. Risk factor modifications and timely interventions will help in the reduction of preterm births and associated mortalities. TRIAL REGISTRATION: ISRCTN30829654. BioMed Central 2020-07-17 /pmc/articles/PMC7368758/ /pubmed/32695337 http://dx.doi.org/10.1186/s13690-020-00446-7 Text en © The Author(s) 2020 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/. 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 in a credit line to the data.
spellingShingle Research
Gurung, Abhishek
Wrammert, Johan
Sunny, Avinash K.
Gurung, Rejina
Rana, Netra
Basaula, Yuba Nidhi
Paudel, Prajwal
Pokhrel, Amrit
KC, Ashish
Incidence, risk factors and consequences of preterm birth – findings from a multi-centric observational study for 14 months in Nepal
title Incidence, risk factors and consequences of preterm birth – findings from a multi-centric observational study for 14 months in Nepal
title_full Incidence, risk factors and consequences of preterm birth – findings from a multi-centric observational study for 14 months in Nepal
title_fullStr Incidence, risk factors and consequences of preterm birth – findings from a multi-centric observational study for 14 months in Nepal
title_full_unstemmed Incidence, risk factors and consequences of preterm birth – findings from a multi-centric observational study for 14 months in Nepal
title_short Incidence, risk factors and consequences of preterm birth – findings from a multi-centric observational study for 14 months in Nepal
title_sort incidence, risk factors and consequences of preterm birth – findings from a multi-centric observational study for 14 months in nepal
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368758/
https://www.ncbi.nlm.nih.gov/pubmed/32695337
http://dx.doi.org/10.1186/s13690-020-00446-7
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