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Identification of factors associated with stillbirth in Zimbabwe – a cross sectional study

INTRODUCTION: 98% of the 2.6 million stillbirths per annum occur in low and middle income countries. However, understanding of risk factors for stillbirth in these settings is incomplete, hampering efforts to develop effective strategies to prevent deaths. METHODS: A cross-sectional study of eligibl...

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Autores principales: Dube, Kushupika, Lavender, Tina, Blaikie, Kieran, Sutton, Christopher J., Heazell, Alexander E. P., Smyth, Rebecca M. D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482658/
https://www.ncbi.nlm.nih.gov/pubmed/34587922
http://dx.doi.org/10.1186/s12884-021-04102-y
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author Dube, Kushupika
Lavender, Tina
Blaikie, Kieran
Sutton, Christopher J.
Heazell, Alexander E. P.
Smyth, Rebecca M. D.
author_facet Dube, Kushupika
Lavender, Tina
Blaikie, Kieran
Sutton, Christopher J.
Heazell, Alexander E. P.
Smyth, Rebecca M. D.
author_sort Dube, Kushupika
collection PubMed
description INTRODUCTION: 98% of the 2.6 million stillbirths per annum occur in low and middle income countries. However, understanding of risk factors for stillbirth in these settings is incomplete, hampering efforts to develop effective strategies to prevent deaths. METHODS: A cross-sectional study of eligible women on the postnatal ward at Mpilo Hospital, Zimbabwe was undertaken between 01/08/2018 and 31/03/2019 (n = 1779). Data were collected from birth records for maternal characteristics, obstetric and past medical history, antenatal care and pregnancy outcome. A directed acyclic graph was constructed with multivariable logistic regression performed to fit the corresponding model specification to data comprising singleton pregnancies, excluding neonatal deaths (n = 1734), using multiple imputation for missing data. Where possible, findings were validated against all women with births recorded in the hospital birth register (n = 1847). RESULTS: Risk factors for stillbirth included: previous stillbirth (29/1691 (2%) of livebirths and 39/43 (91%) of stillbirths, adjusted Odds Ratio (aOR) 2628.9, 95% CI 342.8 to 20,163.0), antenatal care (aOR 44.49 no antenatal care vs. > 4 antenatal care visits, 95% CI 6.80 to 291.19), maternal medical complications (aOR 7.33, 95% CI 1.99 to 26.92) and season of birth (Cold season vs. Mild aOR 14.29, 95% CI 3.09 to 66.08; Hot season vs. Mild aOR 3.39, 95% CI 0.86 to 13.27). Women who had recurrent stillbirth had a lower educational and health status (18.2% had no education vs. 10.0%) and were less likely to receive antenatal care (20.5% had no antenatal care vs. 6.6%) than women without recurrent stillbirth. CONCLUSION: The increased risk in women who have a history of stillbirth is a novel finding in Low and Middle Income Countries (LMICs) and is in agreement with findings from High Income Countries (HICs), although the estimated effect size is much greater (OR in HICs ~ 5). Developing antenatal care for this group of women offers an important opportunity for stillbirth prevention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-021-04102-y.
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spelling pubmed-84826582021-10-04 Identification of factors associated with stillbirth in Zimbabwe – a cross sectional study Dube, Kushupika Lavender, Tina Blaikie, Kieran Sutton, Christopher J. Heazell, Alexander E. P. Smyth, Rebecca M. D. BMC Pregnancy Childbirth Research INTRODUCTION: 98% of the 2.6 million stillbirths per annum occur in low and middle income countries. However, understanding of risk factors for stillbirth in these settings is incomplete, hampering efforts to develop effective strategies to prevent deaths. METHODS: A cross-sectional study of eligible women on the postnatal ward at Mpilo Hospital, Zimbabwe was undertaken between 01/08/2018 and 31/03/2019 (n = 1779). Data were collected from birth records for maternal characteristics, obstetric and past medical history, antenatal care and pregnancy outcome. A directed acyclic graph was constructed with multivariable logistic regression performed to fit the corresponding model specification to data comprising singleton pregnancies, excluding neonatal deaths (n = 1734), using multiple imputation for missing data. Where possible, findings were validated against all women with births recorded in the hospital birth register (n = 1847). RESULTS: Risk factors for stillbirth included: previous stillbirth (29/1691 (2%) of livebirths and 39/43 (91%) of stillbirths, adjusted Odds Ratio (aOR) 2628.9, 95% CI 342.8 to 20,163.0), antenatal care (aOR 44.49 no antenatal care vs. > 4 antenatal care visits, 95% CI 6.80 to 291.19), maternal medical complications (aOR 7.33, 95% CI 1.99 to 26.92) and season of birth (Cold season vs. Mild aOR 14.29, 95% CI 3.09 to 66.08; Hot season vs. Mild aOR 3.39, 95% CI 0.86 to 13.27). Women who had recurrent stillbirth had a lower educational and health status (18.2% had no education vs. 10.0%) and were less likely to receive antenatal care (20.5% had no antenatal care vs. 6.6%) than women without recurrent stillbirth. CONCLUSION: The increased risk in women who have a history of stillbirth is a novel finding in Low and Middle Income Countries (LMICs) and is in agreement with findings from High Income Countries (HICs), although the estimated effect size is much greater (OR in HICs ~ 5). Developing antenatal care for this group of women offers an important opportunity for stillbirth prevention. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-021-04102-y. BioMed Central 2021-09-29 /pmc/articles/PMC8482658/ /pubmed/34587922 http://dx.doi.org/10.1186/s12884-021-04102-y 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
Dube, Kushupika
Lavender, Tina
Blaikie, Kieran
Sutton, Christopher J.
Heazell, Alexander E. P.
Smyth, Rebecca M. D.
Identification of factors associated with stillbirth in Zimbabwe – a cross sectional study
title Identification of factors associated with stillbirth in Zimbabwe – a cross sectional study
title_full Identification of factors associated with stillbirth in Zimbabwe – a cross sectional study
title_fullStr Identification of factors associated with stillbirth in Zimbabwe – a cross sectional study
title_full_unstemmed Identification of factors associated with stillbirth in Zimbabwe – a cross sectional study
title_short Identification of factors associated with stillbirth in Zimbabwe – a cross sectional study
title_sort identification of factors associated with stillbirth in zimbabwe – a cross sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482658/
https://www.ncbi.nlm.nih.gov/pubmed/34587922
http://dx.doi.org/10.1186/s12884-021-04102-y
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