Publications by authors named "Mohamed S Fahmy"
Objective: To validate the use of placenta accreta risk-antepartum (PAR-A) score as a predictive tool of clinical outcomes of placenta accreta spectrum (PAS).
Methods: This is a prospective study, conducted in six PAS specialized centers in six different countries. The study was conducted between October 1, 2020 and March 31, 2021.
Article Synopsis
- Placenta accreta spectrum (PAS) is a serious obstetric condition linked to high rates of morbidity and mortality, prompting the need for predictive models to assess possible clinical outcomes.
- An international study, PAS-ID, analyzed data from 727 women diagnosed with PAS between 2010 and 2019, utilizing machine learning to create two predictive models based on various clinical features.
- Results showed high predictive accuracy, with models identifying significant factors like parity and placental site, indicating that machine learning can effectively assess individual risk and guide management strategies for women with PAS.
Objective: To create a model for prediction of success of uterine-preserving procedures in women with placenta accreta spectrum (PAS).
Methods: PAS-ID is a multicenter study that included 11 centers from 9 countries. Women with PAS, who were managed between January 1, 2010 and December 31, 2019, were retrospectively included.