BETHESDA, Md., March 31, 2025 (GLOBE NEWSWIRE) -- CorVista Health today announced a poster presentation showcasing preliminary results of its machine learning-based algorithm for non-invasively estimating pulmonary capillary wedge pressure (PCWP) elevation – a key indicator of heart failure with preserved ejection fraction. The poster titled ‘Point-of-Care Testing for Pulmonary Capillary Wedge Pressure Elevation Using Machine Learning on Non-invasive Signals’ was presented at the American College of Cardiology’s Annual Scientific Session (ACC.25) in Chicago on March 30, 2025.
Currently, PCWP is measured through an invasive right heart catheterization (iRHC) procedure that requires a cardiologist, pulmonologist or intensivist. The CorVista capture device collects non-invasive signals for 3.5 minutes in patients at rest, which could potentially provide an alternative to iRHC in certain patient populations. The data demonstrate how machine learning signal analysis of a symptomatic population may provide a robust, non-invasive alternative to measuring PCWP elevation, potentially making early detection of HFpEF and PH subtypes more accessible.