Clinical Outcomes of Placenta Previa - an Individualized Scoring System

ConditionPlacenta Previa

Trial statusNot yet recruiting

Trial phaseNot listed

Trial typeObservational

Biological sexFemale

Age18-55

SponsorAssiut University

About this trial

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

None

Disqualifiers

None

Trial population

Pregnant women diagnosed with placenta previa at time of routine second trimester ultrasound (18 to 21 weeks of gestation). Aged 18 years old or above.

Trial design

Design model

Cohort

Time perspective

Retrospective

Treatments tested in this trial

Not listed

Trial groups

No trial groups listed

Trial outcomes

Primary outcomes

Incidence of emergency cesarean section (CS)

CS that is indicated earlier than the elective planned date (36-37 weeks of gestation) due to bleeding or preterm labor

Time frame

22 weeks to 37 weeks of gestation

Secondary outcomes

Peri-operative blood loss

Amount of blood loss in ml during and up to 24 hours after delivery as measured by suction device and gravimetric measures

Time frame

Time between onset of cesarean section till 24 hours after the procedure

Locations

This trial has no locations.

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Assiut University

Lead sponsor

Middle-Eastern College of Obstetricians and Gynecologists

Sponsor institution