ECG-based AI Device - Results Returned to Investigator
DeviceAn ECG-based AI device that predicts undiagnosed PH using data from a 12-lead ECG. Device results will be returned to the Investigators.
NCT Number: NCT06911632
MOMENTOUS is a multi-center, randomized study to prospectively evaluate the performance of an ECG-based AI device to predict whether participants with interstitial lung disease (ILD) are at high risk of undiagnosed pulmonary hypertension.
Interested in participating?
Request Info18 year and older
All sexes
Interventional
Not applicable
University of Alabama at Birmingham, Birmingham, Alabama, United States
The goal of this study is to evaluate the use of an ECG-based AI device that may help predict if participants with interstitial lung disease (ILD) are at high risk of undiagnosed pulmonary hypertension (PH). The study seeks to determine whether use of the device increases the rate of new PH diagnoses over a period of 6 months as compared to current standard of care.
The study will recruit participants with ILD from lung disease clinics who will each receive a 12-lead ECG (a test that measures the electrical activity of the heart) following consent. The device will analyze the 12-lead ECG results to identify participants that are at high risk of having undiagnosed PH.
Participants will be randomly assigned to either the Device or Control group. For participants in the Device group investigators will receive the results of the device. In the Control group investigators will not receive the results of the device. Additionally, participants in the Device group identified as "high risk" by the device will receive a transthoracic echocardiogram and a right heart catheterization (RHC). Participants in the Device group who are not high risk and all participants in the Control group will not receive these additional tests as part of the study, but will receive standard of care treatment as determined by their physicians, which may include an echocardiogram or RHC if clinically indicated.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
An ECG-based AI device that predicts undiagnosed PH using data from a 12-lead ECG. Device results will be returned to the Investigators.
Echocardiogram- an ultrasound study of the heart and Right Heart Catheterization- a procedure to measure pressures in the heart
An ECG-based AI device that predicts undiagnosed PH using data from a 12-lead ECG. Device results will not be returned to the Investigators.
Time frame: Through study completion, approximately 6 months
Mean pulmonary artery pressure (mPAP) > 20 mm Hg and pulmonary vascular resistance (PVR) > 2 Wood units
Time frame: Through study completion, approximately 6 months
mPAP > 20 mm Hg and PVR > 2 Wood units
Time frame: Through study completion, approximately 6 months
mPAP > 20 mm Hg and PVR > 2 Wood units
Contact information is provided by the study sponsor or research team.
Tempus AI
Industry
MOMENTOUS Study (iMpact Of an Ecg ai ModEl oN The Diagnosis Of pUlmonary hypertenSion)
Acronym: MOMENTOUS
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07333183
Cardiovascular Diseases, Fibrosis
Kissimmee, Florida, United States
View Trial DetailsNCT07561034
Cardiovascular Diseases, Hypertension
Rochester, New York, United States
View Trial DetailsNCT06129240
Cardiovascular Diseases, Hypertension
Phoenix, Arizona, United States
View Trial DetailsNCT06388421
Cardiovascular Diseases, Hypertension
Birmingham, Alabama, United States
View Trial Details