Statistical risk prediction models for adverse maternal and neonatal outcomes in severe preeclampsia in a low-resource setting: proposal for a single-centre cross-sectional study at Mpilo Central Hospital, Bulawayo, Zimbabwe

Statistical risk prediction models for adverse maternal and neonatal outcomes in severe preeclampsia in a low-resource setting: proposal for a single-centre cross-sectional study at Mpilo Central Hospital, Bulawayo, Zimbabwe

Abstract Hypertensive disorders in pregnancy are a leading cause of maternal and perinatal morbidity and mortality, especially in low-resource settings. Identifying mothers and babies at greatest risk of complications would enable intervention to be targeted to those most likely to benefit from them...

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Bibliographic Details
Main Authors: Solwayo Ngwenya, Brian Jones, Alexander Edward Patrick Heazell, Desmond Mwembe
Format: Article
Language:English
Published: BMC 2019-08-01
Series:BMC Research Notes
Subjects:
Preeclampsia
Eclampsia
Maternal mortality
Perinatal mortality
Maternal morbidity
Neonatal mortality
Online Access:http://link.springer.com/article/10.1186/s13104-019-4539-y

Internet

http://link.springer.com/article/10.1186/s13104-019-4539-y

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