Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
25 participants
OBSERVATIONAL
2022-10-30
2023-08-31
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Catheterization Arm
Participants will be limited to adults older than 18 years of age, able to consent, planned for the cardiac catheterization lab for a right heart catheterization or in the cardiac care unit with an existing arterial line or Swan-Ganz catheter actively measuring the pulmonary artery pressure on a continuous basis.
catheterization
Swan-Ganz catheterization (also called right heart catheterization or pulmonary artery catheterization) is the passing of a thin tube (catheter) into the right side of the heart and the arteries leading to the lungs. It is done to monitor the heart's function and blood flow and pressures in and around the heart.
Interventions
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catheterization
Swan-Ganz catheterization (also called right heart catheterization or pulmonary artery catheterization) is the passing of a thin tube (catheter) into the right side of the heart and the arteries leading to the lungs. It is done to monitor the heart's function and blood flow and pressures in and around the heart.
Eligibility Criteria
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Inclusion Criteria
2. Undergoing a right heart cardiac catheterization or in the cardiac care unit with active monitoring using an arterial line or Swan-Ganz catheter.
Exclusion Criteria
2. Unable to consent for any reason
3. Unstable patient
4. Known skin reaction to latex or adhesives
20 Years
ALL
No
Sponsors
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PIH Health Good Samaritan Hospital
UNKNOWN
Silverleaf Medical Sciences INC
INDUSTRY
Responsible Party
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Principal Investigators
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Jianwei Zheng, Ph.D.
Role: STUDY_CHAIR
Silverleaf Medical Sciences
Ihab Alomari, Dr.
Role: PRINCIPAL_INVESTIGATOR
PIH Good Samaritan Hospital
Islam Abudayyeh, Dr.
Role: STUDY_DIRECTOR
Loma Linda University Health
Locations
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PIH Good Samaritan Hospital
Los Angeles, California, United States
Countries
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Central Contacts
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Facility Contacts
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Ihab Alomari, Dr.
Role: primary
References
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Zheng J, Abudayyeh I, Mladenov G, Struppa D, Fu G, Chu H, Rakovski C. An artificial intelligence-based noninvasive solution to estimate pulmonary artery pressure. Front Cardiovasc Med. 2022 Aug 24;9:855356. doi: 10.3389/fcvm.2022.855356. eCollection 2022.
Other Identifiers
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ADOPTS_GOODSAM
Identifier Type: -
Identifier Source: org_study_id
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