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Understanding cause of stillbirth: a prospective observational multi-country study from sub-Saharan Africa

BACKGROUND: Every year, an estimated 2.6 million stillbirths occur worldwide, with up to 98% occurring in low- and middle-income countries (LMIC). There is a paucity of primary data on cause of stillbirth from LMIC, and particularly from sub-Saharan Africa to inform effective interventions. This stu...

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Autores principales: Aminu, Mamuda, Bar-Zeev, Sarah, White, Sarah, Mathai, Matthews, van den Broek, Nynke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894270/
https://www.ncbi.nlm.nih.gov/pubmed/31801488
http://dx.doi.org/10.1186/s12884-019-2626-7
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author Aminu, Mamuda
Bar-Zeev, Sarah
White, Sarah
Mathai, Matthews
van den Broek, Nynke
author_facet Aminu, Mamuda
Bar-Zeev, Sarah
White, Sarah
Mathai, Matthews
van den Broek, Nynke
author_sort Aminu, Mamuda
collection PubMed
description BACKGROUND: Every year, an estimated 2.6 million stillbirths occur worldwide, with up to 98% occurring in low- and middle-income countries (LMIC). There is a paucity of primary data on cause of stillbirth from LMIC, and particularly from sub-Saharan Africa to inform effective interventions. This study aimed to identify the cause of stillbirths in low- and middle-income settings and compare methods of assessment. METHODS: This was a prospective, observational study in 12 hospitals in Kenya, Malawi, Sierra Leone and Zimbabwe. Stillbirths (28 weeks or more) were reviewed to assign the cause of death by healthcare providers, an expert panel and by using computer-based algorithms. Agreement between the three methods was compared using Kappa (κ) analysis. Cause of stillbirth and level of agreement between the methods used to assign cause of death. RESULTS: One thousand five hundred sixty-three stillbirths were studied. The stillbirth rate (per 1000 births) was 20.3 in Malawi, 34.7 in Zimbabwe, 38.8 in Kenya and 118.1 in Sierra Leone. Half (50.7%) of all stillbirths occurred during the intrapartum period. Cause of death (range) overall varied by method of assessment and included: asphyxia (18.5–37.4%), placental disorders (8.4–15.1%), maternal hypertensive disorders (5.1–13.6%), infections (4.3–9.0%), cord problems (3.3–6.5%), and ruptured uterus due to obstructed labour (2.6–6.1%). Cause of stillbirth was unknown in 17.9–26.0% of cases. Moderate agreement was observed for cause of stillbirth as assigned by the expert panel and by hospital-based healthcare providers who conducted perinatal death review (κ = 0.69; p < 0.0005). There was only minimal agreement between expert panel review or healthcare provider review and computer-based algorithms (κ = 0.34; 0.31 respectively p < 0.0005). CONCLUSIONS: For the majority of stillbirths, an underlying likely cause of death could be determined despite limited diagnostic capacity. In these settings, more diagnostic information is, however, needed to establish a more specific cause of death for the majority of stillbirths. Existing computer-based algorithms used to assign cause of death require revision.
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spelling pubmed-68942702019-12-11 Understanding cause of stillbirth: a prospective observational multi-country study from sub-Saharan Africa Aminu, Mamuda Bar-Zeev, Sarah White, Sarah Mathai, Matthews van den Broek, Nynke BMC Pregnancy Childbirth Research Article BACKGROUND: Every year, an estimated 2.6 million stillbirths occur worldwide, with up to 98% occurring in low- and middle-income countries (LMIC). There is a paucity of primary data on cause of stillbirth from LMIC, and particularly from sub-Saharan Africa to inform effective interventions. This study aimed to identify the cause of stillbirths in low- and middle-income settings and compare methods of assessment. METHODS: This was a prospective, observational study in 12 hospitals in Kenya, Malawi, Sierra Leone and Zimbabwe. Stillbirths (28 weeks or more) were reviewed to assign the cause of death by healthcare providers, an expert panel and by using computer-based algorithms. Agreement between the three methods was compared using Kappa (κ) analysis. Cause of stillbirth and level of agreement between the methods used to assign cause of death. RESULTS: One thousand five hundred sixty-three stillbirths were studied. The stillbirth rate (per 1000 births) was 20.3 in Malawi, 34.7 in Zimbabwe, 38.8 in Kenya and 118.1 in Sierra Leone. Half (50.7%) of all stillbirths occurred during the intrapartum period. Cause of death (range) overall varied by method of assessment and included: asphyxia (18.5–37.4%), placental disorders (8.4–15.1%), maternal hypertensive disorders (5.1–13.6%), infections (4.3–9.0%), cord problems (3.3–6.5%), and ruptured uterus due to obstructed labour (2.6–6.1%). Cause of stillbirth was unknown in 17.9–26.0% of cases. Moderate agreement was observed for cause of stillbirth as assigned by the expert panel and by hospital-based healthcare providers who conducted perinatal death review (κ = 0.69; p < 0.0005). There was only minimal agreement between expert panel review or healthcare provider review and computer-based algorithms (κ = 0.34; 0.31 respectively p < 0.0005). CONCLUSIONS: For the majority of stillbirths, an underlying likely cause of death could be determined despite limited diagnostic capacity. In these settings, more diagnostic information is, however, needed to establish a more specific cause of death for the majority of stillbirths. Existing computer-based algorithms used to assign cause of death require revision. BioMed Central 2019-12-04 /pmc/articles/PMC6894270/ /pubmed/31801488 http://dx.doi.org/10.1186/s12884-019-2626-7 Text en © The Author(s). 2019 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
Aminu, Mamuda
Bar-Zeev, Sarah
White, Sarah
Mathai, Matthews
van den Broek, Nynke
Understanding cause of stillbirth: a prospective observational multi-country study from sub-Saharan Africa
title Understanding cause of stillbirth: a prospective observational multi-country study from sub-Saharan Africa
title_full Understanding cause of stillbirth: a prospective observational multi-country study from sub-Saharan Africa
title_fullStr Understanding cause of stillbirth: a prospective observational multi-country study from sub-Saharan Africa
title_full_unstemmed Understanding cause of stillbirth: a prospective observational multi-country study from sub-Saharan Africa
title_short Understanding cause of stillbirth: a prospective observational multi-country study from sub-Saharan Africa
title_sort understanding cause of stillbirth: a prospective observational multi-country study from sub-saharan africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894270/
https://www.ncbi.nlm.nih.gov/pubmed/31801488
http://dx.doi.org/10.1186/s12884-019-2626-7
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