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Machine Learning Miscarriage Management Clinical Decision Support Tool Study

NCT06384144 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2024-04-25

No results posted yet for this study

Summary

Machine learning used to develop an algorithm to determine chance of success with expectant or medical management for an individual patient. Taking into account the following objective measures:

* Demographics: Maternal Age, Parity
* History: Previous CS, Previous SMM/MVA, Previous Myomectomy
* Gestation by LMP
* Presenting symptoms: Bleeding score, Pain score
* USS Measurements: CRL, GS, RPOC 3 dimensions, Vascularity
* Discrepancy between gestation by CRL and LMP

Audit to collate 1000 cases and identify features contributing to an algorithm that can predict outcome of miscarriage management for individualized case management.

Conditions

  • Miscarriage in First Trimester

Interventions

OTHER

Expectant Management of First Trimester Miscarriage

Expectant Management: Conservative management if miscarriage with follow-up booked in 2 weeks to determine whether complete miscarriage has occurred.

OTHER

Medical Management of First Trimester Miscarriage

Medical Management: Misoprostol taken to manage first trimester miscarriage, with follow-up booked in 2 weeks to determine whether complete miscarriage has occurred.

Sponsors & Collaborators

  • Imperial College London

    lead OTHER

Eligibility

Min Age
16 Years
Max Age
55 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-01-01
Primary Completion
2024-06-01
Completion
2026-06-01

Countries

  • United Kingdom

Study Locations

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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 NCT06384144 on ClinicalTrials.gov