Non-invasive Pulmonary Artery Prediction (ADOPTS)
- Conditions
- Heart FailurePulmonary Arterial Hypertension
- Interventions
- Diagnostic Test: right heart catheterization
- Registration Number
- NCT05641675
- Lead Sponsor
- Silverleaf Medical Sciences INC
- Brief Summary
A proprietary machine-learning algorithm has been developed to model continuous pulmonary artery pressure (PAP), a physiologic marker of cardiopulmonary function. The algorithm was developed from PAP recordings obtained during invasive right heart catheterization. The study will evaluate whether this algorithm can perform as well when embedded into a non-invasive wearable device that records EKG, heart sounds, and thoracic impedance has yet to be established.
- Detailed Description
A prototype device will be supplied by Silverleaf Medical Science (Redlands, CA) to record these signals. This study will take place at Loma Linda VA, in the cardiac catheterization lab as an add-on to clinically-indicated right heart catheterizations, and under the supervision of heart failure and interventional cardiologists. The investigators will screen and enroll 20 Veterans who consent to participate in the study. Veterans who decline to consent and vulnerable populations will be excluded from the study. The investigators will obtain simultaneous recordings from the prototype device (EKG, heart sounds, and thoracic impedance) and from the PAP catheter , both at rest (5 minutes), and in response to physiological maneuvers: hand grip, passive leg raise, and Valsalva (1 minute recordings with 1-minute breaks). De-identified recordings from the prototype device will be shared with the team at Silverleaf Medical Science to derive a computed PAP. The investigators will test the hypothesis that computed PAP is no different than measured PAP. If the algorithm can produce a computed PAP with high accuracy,'\[it would be the first wearable system to non-invasively report PAP.
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 25
- Written informed consent and authorization to use and disclose health information.
- 20 years of age or older.
- Diagnosis of HF for >3 months, with preserved or reduced left ventricular ejection fraction (LVEF).
- Female subjects of childbearing age with a negative urine or serum pregnancy test at the time of the right heart cauterization procedure and trial.
- Active infection.
- Unable to tolerate a right heart catheterization (RHC), in the investigator's opinion.
- Implantation of cardiac resynchronization therapy (CRT)<3 months before enrollment.
- Enrolled in concurrent studies that may confound the results of this study.
- Clinical condition that would not allow them to complete the study, in the investigator's opinion.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description right heart catheterization cohort right heart catheterization The study investigators will screen up to 50 Veterans undergoing right heart catheterization for clinical indications with the intention to consent up to 20 Veterans. Veterans will be screened by study investigators. Veterans who decline to consent and vulnerable populations (pregnant, incapacitated, incarcerated) will be excluded from the study.
- Primary Outcome Measures
Name Time Method Major Outcome the Swan-Ganz catheter obtains the pulmonary artery pressures for a minimum of 5 minutes The primary outcome of this study is to determine if a machine-learning algorithm with data from a wearable device can reproduce simultaneous PAP measurement obtained during right heart catheterization.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Loma Linda Veterans Administration Healthcare System
🇺🇸Loma Linda, California, United States