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Clinical Outcomes of Placenta Previa - an Individualized Scoring System

NCT06589180 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2024-09-19

No results posted yet for this study

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.

Conditions

  • Placenta Previa

Sponsors & Collaborators

  • Middle-Eastern College of Obstetricians and Gynecologists

    collaborator OTHER

  • Assiut University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
55 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-01-04
Primary Completion
2026-02-04
Completion
2026-05-04

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06589180 on ClinicalTrials.gov