The Association Of Resting Heart Rate With Beta Blocker Uptitration In Patients With Heart Failure And Reduced Ejection Fraction: A Single Center Experience From The Middle East
HFSA ePoster Library. Manla Y. 09/10/21; 343447; 215
Dr. Yosef Manla
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Abstract
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Background: Heart failure is the leading cause of hospitalization in the elderly and readmission is common. Clinical parameters of congestion are of limited value and there remains an unmet need for accurate non-invasive assessment of congestion in patients with heart failure. Non-Invasive Venous waveform Analysis in heart failure (NIVAHF; Figure 1) is a non-invasive 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(RHC).
Methods: The prototype NIVAHF device was validated against PCWP in 106 subjects undergoing RHC. The NIVAHF algorithm to estimate PCWP was developed and tested using Pearson correlation coefficients. NIVA scores were evaluated in 84 patients having outpatient RHC. Receiver Operating Characteristic (ROC) curves were used to determine whether a NIVA score >18 predicted 30-day hospital admission.
Results: The NIVA score demonstrated a positive correlation with PCWP (r=0.92, n=106, p<0.05; Figure 2). A NIVA score >18 at time of hospital discharge predicts 30-day admission with a sensitivity of 91% and specificity of 56% (AUC=0.84, p<0.0001). No patient demographics affected the predictive accuracy of the NIVA score.
Conclusions: NIVAHF is a non-invasive technology that provides an estimate of PCWP. A NIVA score of >18 indicates increased risk for 30-day hospital admission. This non-invasive measurement has potential for to guide therapy to reduce congestion in heart failure patients.
Methods: The prototype NIVAHF device was validated against PCWP in 106 subjects undergoing RHC. The NIVAHF algorithm to estimate PCWP was developed and tested using Pearson correlation coefficients. NIVA scores were evaluated in 84 patients having outpatient RHC. Receiver Operating Characteristic (ROC) curves were used to determine whether a NIVA score >18 predicted 30-day hospital admission.
Results: The NIVA score demonstrated a positive correlation with PCWP (r=0.92, n=106, p<0.05; Figure 2). A NIVA score >18 at time of hospital discharge predicts 30-day admission with a sensitivity of 91% and specificity of 56% (AUC=0.84, p<0.0001). No patient demographics affected the predictive accuracy of the NIVA score.
Conclusions: NIVAHF is a non-invasive technology that provides an estimate of PCWP. A NIVA score of >18 indicates increased risk for 30-day hospital admission. This non-invasive measurement has potential for to guide therapy to reduce congestion in heart failure patients.
Background: Heart failure is the leading cause of hospitalization in the elderly and readmission is common. Clinical parameters of congestion are of limited value and there remains an unmet need for accurate non-invasive assessment of congestion in patients with heart failure. Non-Invasive Venous waveform Analysis in heart failure (NIVAHF; Figure 1) is a non-invasive 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(RHC).
Methods: The prototype NIVAHF device was validated against PCWP in 106 subjects undergoing RHC. The NIVAHF algorithm to estimate PCWP was developed and tested using Pearson correlation coefficients. NIVA scores were evaluated in 84 patients having outpatient RHC. Receiver Operating Characteristic (ROC) curves were used to determine whether a NIVA score >18 predicted 30-day hospital admission.
Results: The NIVA score demonstrated a positive correlation with PCWP (r=0.92, n=106, p<0.05; Figure 2). A NIVA score >18 at time of hospital discharge predicts 30-day admission with a sensitivity of 91% and specificity of 56% (AUC=0.84, p<0.0001). No patient demographics affected the predictive accuracy of the NIVA score.
Conclusions: NIVAHF is a non-invasive technology that provides an estimate of PCWP. A NIVA score of >18 indicates increased risk for 30-day hospital admission. This non-invasive measurement has potential for to guide therapy to reduce congestion in heart failure patients.
Methods: The prototype NIVAHF device was validated against PCWP in 106 subjects undergoing RHC. The NIVAHF algorithm to estimate PCWP was developed and tested using Pearson correlation coefficients. NIVA scores were evaluated in 84 patients having outpatient RHC. Receiver Operating Characteristic (ROC) curves were used to determine whether a NIVA score >18 predicted 30-day hospital admission.
Results: The NIVA score demonstrated a positive correlation with PCWP (r=0.92, n=106, p<0.05; Figure 2). A NIVA score >18 at time of hospital discharge predicts 30-day admission with a sensitivity of 91% and specificity of 56% (AUC=0.84, p<0.0001). No patient demographics affected the predictive accuracy of the NIVA score.
Conclusions: NIVAHF is a non-invasive technology that provides an estimate of PCWP. A NIVA score of >18 indicates increased risk for 30-day hospital admission. This non-invasive measurement has potential for to guide therapy to reduce congestion in heart failure patients.
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