Development and internal validation of a model predicting severe maternal morbidity using pre-conception and early pregnancy variables: a population-based study in Ontario, Canada

Development and internal validation of a model predicting severe maternal morbidity using pre-conception and early pregnancy variables: a population-based study in Ontario, Canada

Abstract Background Improvement in the prediction and prevention of severe maternal morbidity (SMM) - a range of life-threatening conditions during pregnancy, at delivery or within 42 days postpartum - is a public health priority. Reduction of SMM at a population level would be facilitated by early...

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Bibliographic Details
Main Authors: Natalie Dayan, Gabriel D. Shapiro, Jin Luo, Jun Guan, Deshayne B. Fell, Carl A. Laskin, Olga Basso, Alison L. Park, Joel G. Ray
Format: Article
Language:English
Published: BMC 2021-10-01
Series:BMC Pregnancy and Childbirth
Subjects:
Women’s health
Epidemiology
Obstetrics
Gynaecology
Online Access:https://doi.org/10.1186/s12884-021-04132-6

Internet

https://doi.org/10.1186/s12884-021-04132-6

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