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

• Автори: Natalie Dayan (Автор), Gabriel D. Shapiro (Автор), Jin Luo (Автор), Jun Guan (Автор), Deshayne B. Fell (Автор), Carl A. Laskin (Автор), Olga Basso (Автор), Alison L. Park (Автор), Joel G. Ray (Автор)
• Формат: Книга
• Опубліковано: BMC, 2021-10-01T00:00:00Z.
• Предмети: article
• Онлайн доступ: 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...