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NOT YET RECRUITING
NCT06589180

Clinical Outcomes of Placenta Previa - an Individualized Scoring System

Sponsor: Assiut University

View on ClinicalTrials.gov

Summary

The objective of the study is to develop a machine learning -based prediction model for patients with placenta previa . The model will be based on patient characteristics, clinical assessment, and disease features to predict disease course, prognosis and establish an individualized plan of care. Individualized management plan comprises timing of delivery, mode of delivery, need for hospital admission, postpartum hemorrhage management plan, and perioperative care. The primary outcome is to predict maternal complications, primarily major antepartum hemorrhage (APH), defined as blood loss of 50-1000 ml.

Key Details

Gender

FEMALE

Age Range

18 Years - 55 Years

Study Type

OBSERVATIONAL

Enrollment

1000

Start Date

2025-01-04

Completion Date

2026-05-04

Last Updated

2024-09-19

Healthy Volunteers

No

Conditions