Cargando…

Risk factors and high-risk subgroups of severe acute maternal morbidity in twin pregnancy: A population-based study

OBJECTIVE: To determine risk factors of severe acute maternal morbidity in women with twin pregnancies and identify subgroups at high risk. METHODS: In a prospective, population-based study of twin deliveries, the JUMODA cohort, all women with twin pregnancies at or after 22 weeks of gestation were...

Descripción completa

Detalles Bibliográficos
Autores principales: Korb, Diane, Schmitz, Thomas, Seco, Aurélien, Goffinet, François, Deneux-Tharaux, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048407/
https://www.ncbi.nlm.nih.gov/pubmed/32109258
http://dx.doi.org/10.1371/journal.pone.0229612
_version_ 1783502295636377600
author Korb, Diane
Schmitz, Thomas
Seco, Aurélien
Goffinet, François
Deneux-Tharaux, Catherine
author_facet Korb, Diane
Schmitz, Thomas
Seco, Aurélien
Goffinet, François
Deneux-Tharaux, Catherine
author_sort Korb, Diane
collection PubMed
description OBJECTIVE: To determine risk factors of severe acute maternal morbidity in women with twin pregnancies and identify subgroups at high risk. METHODS: In a prospective, population-based study of twin deliveries, the JUMODA cohort, all women with twin pregnancies at or after 22 weeks of gestation were recruited in 176 French hospitals. Severe acute maternal morbidity was a composite criterion. We determined its risk factors by multilevel multivariate Poisson regression modeling and identified high-risk subgroups by classification and regression tree (CART) analysis, in two steps: first considering only characteristics known at the beginning of pregnancy and then adding factors arising during its course. RESULTS: Among the 8,823 women with twin pregnancies, 542 (6.1%, 95% confidence interval (CI) 5.6–6.6) developed severe acute maternal morbidity. Risk factors for severe maternal morbidity identified at the beginning of pregnancy were maternal birth in sub-Saharan Africa (adjusted relative risk (aRR) 1.6, 95% CI 1.1–2.3), preexisting insulin-treated diabetes (aRR 2.2, 95% CI 1.1–4.4), nulliparity (aRR 1.6, 95% CI 1.3–2.0), IVF with autologous oocytes (aRR, 1.3, 95% CI, 1.0–1.6), and oocyte donation (aRR 2.0, 95% CI 1.4–2.8); CART analysis identified nulliparous women with oocyte donation as the subgroup at highest risk (SAMM rate: 14.7%, 95% CI, 10.3–19.1). At the end of pregnancy, additional risk factors identified were placenta praevia (aRR 3.5, 95% CI 2.3–5.3), non-severe preeclampsia (aRR 2.5, 95% CI 1.9–3.2), and macrosomia for either twin (aRR 1.7, 95% CI 1.3–2.1); CART analysis identified women with both oocyte donation and non-severe preeclampsia (SAMM rate: 28.9%, 95% CI, 19.9–37.9) and sub-Saharan nulliparous women with non-severe preeclampsia (SAMM rate: 26.9%, 95% CI, 9.9–43.9) as the two subgroups at highest risk. CONCLUSION: In woman with twin pregnancy, rates of severe acute maternal morbidity vary between subgroups from 4.6% to 14.7% and from 3.8% to 28.9% at the beginning and at the end of pregnancy respectively, depending on the combined presence of risk factors.
format Online
Article
Text
id pubmed-7048407
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-70484072020-03-10 Risk factors and high-risk subgroups of severe acute maternal morbidity in twin pregnancy: A population-based study Korb, Diane Schmitz, Thomas Seco, Aurélien Goffinet, François Deneux-Tharaux, Catherine PLoS One Research Article OBJECTIVE: To determine risk factors of severe acute maternal morbidity in women with twin pregnancies and identify subgroups at high risk. METHODS: In a prospective, population-based study of twin deliveries, the JUMODA cohort, all women with twin pregnancies at or after 22 weeks of gestation were recruited in 176 French hospitals. Severe acute maternal morbidity was a composite criterion. We determined its risk factors by multilevel multivariate Poisson regression modeling and identified high-risk subgroups by classification and regression tree (CART) analysis, in two steps: first considering only characteristics known at the beginning of pregnancy and then adding factors arising during its course. RESULTS: Among the 8,823 women with twin pregnancies, 542 (6.1%, 95% confidence interval (CI) 5.6–6.6) developed severe acute maternal morbidity. Risk factors for severe maternal morbidity identified at the beginning of pregnancy were maternal birth in sub-Saharan Africa (adjusted relative risk (aRR) 1.6, 95% CI 1.1–2.3), preexisting insulin-treated diabetes (aRR 2.2, 95% CI 1.1–4.4), nulliparity (aRR 1.6, 95% CI 1.3–2.0), IVF with autologous oocytes (aRR, 1.3, 95% CI, 1.0–1.6), and oocyte donation (aRR 2.0, 95% CI 1.4–2.8); CART analysis identified nulliparous women with oocyte donation as the subgroup at highest risk (SAMM rate: 14.7%, 95% CI, 10.3–19.1). At the end of pregnancy, additional risk factors identified were placenta praevia (aRR 3.5, 95% CI 2.3–5.3), non-severe preeclampsia (aRR 2.5, 95% CI 1.9–3.2), and macrosomia for either twin (aRR 1.7, 95% CI 1.3–2.1); CART analysis identified women with both oocyte donation and non-severe preeclampsia (SAMM rate: 28.9%, 95% CI, 19.9–37.9) and sub-Saharan nulliparous women with non-severe preeclampsia (SAMM rate: 26.9%, 95% CI, 9.9–43.9) as the two subgroups at highest risk. CONCLUSION: In woman with twin pregnancy, rates of severe acute maternal morbidity vary between subgroups from 4.6% to 14.7% and from 3.8% to 28.9% at the beginning and at the end of pregnancy respectively, depending on the combined presence of risk factors. Public Library of Science 2020-02-28 /pmc/articles/PMC7048407/ /pubmed/32109258 http://dx.doi.org/10.1371/journal.pone.0229612 Text en © 2020 Korb et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Korb, Diane
Schmitz, Thomas
Seco, Aurélien
Goffinet, François
Deneux-Tharaux, Catherine
Risk factors and high-risk subgroups of severe acute maternal morbidity in twin pregnancy: A population-based study
title Risk factors and high-risk subgroups of severe acute maternal morbidity in twin pregnancy: A population-based study
title_full Risk factors and high-risk subgroups of severe acute maternal morbidity in twin pregnancy: A population-based study
title_fullStr Risk factors and high-risk subgroups of severe acute maternal morbidity in twin pregnancy: A population-based study
title_full_unstemmed Risk factors and high-risk subgroups of severe acute maternal morbidity in twin pregnancy: A population-based study
title_short Risk factors and high-risk subgroups of severe acute maternal morbidity in twin pregnancy: A population-based study
title_sort risk factors and high-risk subgroups of severe acute maternal morbidity in twin pregnancy: a population-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7048407/
https://www.ncbi.nlm.nih.gov/pubmed/32109258
http://dx.doi.org/10.1371/journal.pone.0229612
work_keys_str_mv AT korbdiane riskfactorsandhighrisksubgroupsofsevereacutematernalmorbidityintwinpregnancyapopulationbasedstudy
AT schmitzthomas riskfactorsandhighrisksubgroupsofsevereacutematernalmorbidityintwinpregnancyapopulationbasedstudy
AT secoaurelien riskfactorsandhighrisksubgroupsofsevereacutematernalmorbidityintwinpregnancyapopulationbasedstudy
AT goffinetfrancois riskfactorsandhighrisksubgroupsofsevereacutematernalmorbidityintwinpregnancyapopulationbasedstudy
AT deneuxtharauxcatherine riskfactorsandhighrisksubgroupsofsevereacutematernalmorbidityintwinpregnancyapopulationbasedstudy
AT riskfactorsandhighrisksubgroupsofsevereacutematernalmorbidityintwinpregnancyapopulationbasedstudy