Evaluation of Clinical Outcomes and Acceptability of an Anatomical Classification for Placenta Accreta Spectrum

Overview

This study evaluates the clinical implementation of intra-operative topographic classification system for PAS. In addition to a standard of care risk stratification prenatal ultrasound for patients with a risk of PAS, this study adds an additional intraoperative surgical staging protocol to validate the classification system, improve surgical approach, and significantly clinical outcomes of pregnant people with an a prior risk of PAS. The study will involve pregnant patients with PAS risk factor, include data collection spanning prenatal assessment, intraoperative classification, surgical technique implementation and postoperative analysis. The anticipated study duration is approximately 36-48 months.

This study is a prospective cohort study designed to assess the validity, feasibility, and clinical utility of a topographic classification system for placenta accreta spectrum (PAS), with a primary focus on its application in the actual execution of surgery. This study is investigating a clinical decision flowchart used for intraoperative staging and classification of placenta accreta spectrum (PAS) or similar uterine surgical scenarios. It integrates topographic classification, surgical decision-making, and treatment strategy selection. The classification system will directly guide and be integrated into real-time surgical planning and management-from cesarean hysterectomy to one-step conservative surgery-based on prenatal ultrasound staging and intraoperative findings. * Standardizing prenatal ultrasound staging for PAS. * Implementing a structured protocol for intraoperative classification and surgical execution according to ultrasound. * Collecting and correlating surgical and pathological findings, including intraoperative photos, videos, and gross and histological analysis. * Utilizing an objective method to quantify intraoperative blood loss. * Comparing preoperative ultrasound findings with intraoperative and postoperative data to validate the classification system. * Managing participant dropouts and protocol deviations to ensure data integrity and minimize bias. * Applying appropriate statistical adjustments for multiple group comparisons to reduce the risk of type I error. Methods such as Bonferroni correction or false discovery rate adjustments will be utilized where applicable. * Incorporating serial blood draws for plasma and whole blood analysis to identify potential biomarkers associated with PAS severity, surgical complexity, and clinical outcomes. This will be optional and stored in the biorepository.