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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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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. |
format | Online Article Text |
id | pubmed-6894270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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