Publication Details

AFRICAN RESEARCH NEXUS

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medicine

Adverse perinatal outcomes are associated with severe maternal morbidity and mortality: evidence from a national multicentre cross-sectional study

Archives of Gynecology and Obstetrics, Volume 299, No. 3, Year 2019

Purpose: To assess the association between maternal potentially life-threatening conditions (PLTC), maternal near miss (MNM), and maternal death (MD) with perinatal outcomes. Methods: Cross-sectional study in 27 Brazilian referral centers from July, 2009 to June, 2010. All women presenting any criteria for PLTC and MNM, or MD, were included. Sociodemographic and obstetric characteristics were evaluated in each group of maternal outcomes. Childbirth and maternal morbidity data were related to perinatal adverse outcomes (5th min Apgar score < 7, fetal death, neonatal death, or any of these). The Chi-squared test evaluated the differences between groups. Multiple regression analysis adjusted for the clustering design effect identified the independently associated maternal factors with the adverse perinatal outcomes (prevalence ratios; 95% confidence interval). Results: Among 8271 cases of severe maternal morbidity, there were 714 cases of adverse perinatal outcomes. Advanced maternal age, low level of schooling, multiparity, lack of prenatal care, delays in care, preterm birth, and adverse perinatal outcomes were more common among MNM and MD. Both MNM and MD were associated with Apgar score (2.39; 1.68–3.39); maternal hemorrhage was the most prevalent characteristic associated with fetal death (2.9, 95% CI 1.81–4.66) and any adverse perinatal outcome (2.16; 1.59–2.94); while clinical/surgical conditions were more related to neonatal death (1.56; 1.08–2.25). Conclusion: We confirmed the association between MNM and MD with adverse perinatal outcomes. Maternal and perinatal issues should not be dissociated. Policies aiming maternal care should include social and economic development, and improvements in accessibility to specialized care. These, in turn, will definitively impact on childhood mortality rates. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

Statistics
Citations: 19
Authors: 73
Affiliations: 3
Identifiers
Research Areas
Health System And Policy
Maternal And Child Health
Study Design
Cross Sectional Study
Study Approach
Quantitative
Participants Gender
Female