Bret Alvis1, Jessica Huston2, Jeffery Schmeckpeper3, Monica Polcz4, Marisa Case5, Rene Harder6, Jonathan S Whitfield6, Kendall G Spears7, Meghan Breed8, Lexie Vaughn4, Colleen Brophy9, Kyle M Hocking10, Joann Lindenfeld3. 1. Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee; VoluMetrix, LLC, Nashville, Tennessee. Electronic address: bret.d.alvis@vumc.org. 2. Department of Medicine, Division of Cardiovascular Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. 3. Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee. 4. Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee. 5. Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee. 6. VoluMetrix, LLC, Nashville, Tennessee. 7. University of Tennessee, Knoxville, Tennessee. 8. Department of Anesthesiology, Division of Critical Care, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee. 9. VoluMetrix, LLC, Nashville, Tennessee; Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee. 10. Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee; VoluMetrix, LLC, Nashville, Tennessee; Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee.
Abstract
BACKGROUND: Heart failure is the leading cause of hospitalization in the elderly and readmission is common. Clinical indicators of congestion may not precede acute congestion with enough time to prevent hospital admission for heart failure. Thus, there is a large and unmet need for accurate, noninvasive assessment of congestion. Noninvasive venous waveform analysis in heart failure (NIVAHF) is a novel, noninvasive technology that monitors intravascular volume status and hemodynamic congestion. The objective of this study was to determine the correlation of NIVAHF with pulmonary capillary wedge pressure (PCWP) and the ability of NIVAHF to predict 30-day admission after right heart catheterization. METHODS AND RESULTS: The prototype NIVAHF device was compared with the PCWP in 106 patients undergoing right heart catheterization. The NIVAHF algorithm was developed and trained to estimate the PCWP. NIVA scores and central hemodynamic parameters (PCWP, pulmonary artery diastolic pressure, and cardiac output) were evaluated in 84 patients undergoing outpatient right heart catheterization. Receiver operating characteristic curves were used to determine whether a NIVA score predicted 30-day hospital admission. The NIVA score demonstrated a positive correlation with PCWP (r = 0.92, n = 106, P < .0001). The NIVA score at the time of hospital discharge predicted 30-day admission with an AUC of 0.84, a NIVA score of more than 18 predicted admission with a sensitivity of 91% and specificity of 56%. Residual analysis suggested that no single patient demographic confounded the predictive accuracy of the NIVA score. CONCLUSIONS: The NIVAHF score is a noninvasive monitoring technology that is designed to provide an estimate of PCWP. A NIVA score of more than 18 indicated an increased risk for 30-day hospital admission. This noninvasive measurement has the potential for guiding decongestive therapy and the prevention of hospital admission in patients with heart failure. Published by Elsevier Inc.
BACKGROUND: Heart failure is the leading cause of hospitalization in the elderly and readmission is common. Clinical indicators of congestion may not precede acute congestion with enough time to prevent hospital admission for heart failure. Thus, there is a large and unmet need for accurate, noninvasive assessment of congestion. Noninvasive venous waveform analysis in heart failure (NIVAHF) is a novel, noninvasive technology that monitors intravascular volume status and hemodynamic congestion. The objective of this study was to determine the correlation of NIVAHF with pulmonary capillary wedge pressure (PCWP) and the ability of NIVAHF to predict 30-day admission after right heart catheterization. METHODS AND RESULTS: The prototype NIVAHF device was compared with the PCWP in 106 patients undergoing right heart catheterization. The NIVAHF algorithm was developed and trained to estimate the PCWP. NIVA scores and central hemodynamic parameters (PCWP, pulmonary artery diastolic pressure, and cardiac output) were evaluated in 84 patients undergoing outpatient right heart catheterization. Receiver operating characteristic curves were used to determine whether a NIVA score predicted 30-day hospital admission. The NIVA score demonstrated a positive correlation with PCWP (r = 0.92, n = 106, P < .0001). The NIVA score at the time of hospital discharge predicted 30-day admission with an AUC of 0.84, a NIVA score of more than 18 predicted admission with a sensitivity of 91% and specificity of 56%. Residual analysis suggested that no single patient demographic confounded the predictive accuracy of the NIVA score. CONCLUSIONS: The NIVAHF score is a noninvasive monitoring technology that is designed to provide an estimate of PCWP. A NIVA score of more than 18 indicated an increased risk for 30-day hospital admission. This noninvasive measurement has the potential for guiding decongestive therapy and the prevention of hospital admission in patients with heart failure. Published by Elsevier Inc.
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