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Screening for Pregnancy Related Heart Failure in Nigeria

NCT05438576 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1232

Last updated 2025-05-16

Study results available
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Summary

This study will evaluate the effectiveness of an artificial intelligence-enabled ECG (AI-ECG) for cardiomyopathy detection in an obstetric population in Nigeria.

Conditions

Interventions

OTHER

Digital stethoscope electrocardiogram

Digital stethoscope artificial intelligence enabled electrocardiogram (AI-ECG). An artificial intelligence algorithm which analyses ECG data and generates prediction probabilities for a diagnosis of cardiomyopathy.

Sponsors & Collaborators

  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)

    collaborator NIH

  • National Center for Advancing Translational Sciences (NCATS)

    collaborator NIH

  • National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)

    collaborator NIH

  • Mayo Clinic

    lead OTHER

Principal Investigators

  • Demilade Adedinsewo, MD, MPH · Mayo Clinic

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
49 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-08-15
Primary Completion
2024-05-15
Completion
2024-05-15

Countries

  • Nigeria

Study Locations

More Related Trials

Entities

Diseases
Companies

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 NCT05438576 on ClinicalTrials.gov