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

• Main Authors: Natalie Dayan (Author), Gabriel D. Shapiro (Author), Jin Luo (Author), Jun Guan (Author), Deshayne B. Fell (Author), Carl A. Laskin (Author), Olga Basso (Author), Alison L. Park (Author), Joel G. Ray (Author)
• Format: Book
• Published: BMC, 2021-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...