Importance of Point-of-Care Ultrasound for Early Detection of Valvular and Cardiac Diseases (IMPROVE)
NCT: NCT07756398 · NOT_YET_RECRUITING
Brief Summary
Heart valve disease and weakened heart muscle (left ventricular systolic dysfunction) are common in older adults and often go undetected until serious complications such as heart failure develop. Detection currently depends on a clinician hearing a murmur and then ordering an echocardiogram, which is easily missed or delayed. This study tests whether a brief, artificial intelligence (AI)-guided handheld heart ultrasound - point-of-care ultrasound, or POCUS - performed by trained clinic staff during a routine visit identifies these conditions earlier than usual care. Primary care and geriatrics providers, rather than individual patients, are assigned by chance to one of two groups. Patients seen by providers in the AI-ultrasound group are offered a POCUS scan and a one-time blood test at their regular visit, and are referred for a confirmatory echocardiogram if the scan is abnormal. Patients seen by providers in the usual care group receive standard clinic care. Researchers will compare how often previously undiagnosed structural heart disease is newly identified in each group.
Frequently Asked Questions
What is Importance of Point-of-Care Ultrasound for Early Detection of Valvular and Cardiac Diseases (IMPROVE)?
Importance of Point-of-Care Ultrasound for Early Detection of Valvular and Cardiac Diseases (IMPROVE) is a clinical trial registered under NCT07756398. Current status: NOT_YET_RECRUITING.
What is the status of NCT07756398?
The current status of NCT07756398 (Importance of Point-of-Care Ultrasound for Early Detection of Valvular and Cardiac Diseases (IMPROVE)) is: NOT_YET_RECRUITING.
When did Importance of Point-of-Care Ultrasound for Early Detection of Valvular and Cardiac Diseases (IMPROVE) start?
Importance of Point-of-Care Ultrasound for Early Detection of Valvular and Cardiac Diseases (IMPROVE) started on 2026-08-01.
Official Source
View on ClinicalTrials.gov →Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.