Viewing Study NCT05622695


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Ignite Modification Date: 2026-03-29 @ 9:52 AM
Study NCT ID: NCT05622695
Status: UNKNOWN
Last Update Posted: 2022-11-21
First Post: 2022-11-03
Is Gene Therapy: True
Has Adverse Events: False

Brief Title: Non-invasive Pulmonary Artery Prediction
Sponsor: Silverleaf Medical Sciences INC
Organization:

Study Overview

Official Title: Study to Determine if Novel Wearable Monitoring System and Machine-Learning Algorithm Can Model Continuous Pulmonary Artery Pressure Recordings in Human Subjects
Status: UNKNOWN
Status Verified Date: 2022-11
Last Known Status: RECRUITING
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: ADOPTS
Brief Summary: Cardiac remote monitoring devices have expanded our ability to track physiological changes used in the diagnosis and management of patients with cardiac disease. Implantable remote monitoring technologies have been shown to predict heart failure events, and guide therapy to reduce heart failure hospitalizations. The CardioMEMs System, the most studied and established remote monitoring system, relies on a pulmonary artery implant for continuous PAP measurement. However, there are no commercially available wearable systems that can reproduce continuous PAP tracings.

This study aims to determine if a machine-learning algorithm with data from a wearable cardiac remote-monitoring system incorporating EKG, heart sounds, and thoracic impedance can reproduce a continuous PAP tracing obtained during right heart catheterization.
Detailed Description: None

Study Oversight

Has Oversight DMC: True
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: