An algorithm estimating changes in cardiac output from right ventricular pressure waveforms via an implantable hemodynamic monitor correlated well with inert gas rebreathing (median correlation 0.83).
Observational (n=12)
Does an algorithm using right ventricular pressure waveforms from an implantable hemodynamic monitor accurately estimate changes in cardiac output in heart failure patients?
An algorithm using right ventricular pressure waveforms from an implantable hemodynamic monitor can reliably estimate changes in cardiac output in heart failure patients.
Effect estimate: Median correlation coefficient 0.83
Objectives. The aim of this study was to evaluate an algorithm that estimates changes in cardiac output (CO) from right ventricular (RV) pressure waveforms derived from an implantable hemodynamic monitor (IHM) in heart failure patients. Design. Twelve heart failure patients (NYHA II-III, EF 32%) with an implantable hemodynamic monitor (Chronicle®) were included in this study. Changes in cardiac output were provoked by body position change at rest (left lateral supine, horizontal supine, sitting, and standing) and a steady state bicycle exercise at 20 watts. Estimated CO derived from the IHM (COIHM) was compared to CO measured with inert gas rebreathing (CORB), echocardiography (COECHO) and impedance cardiography (COICG). CORB was considered the reference method. Results. The median intra-patient correlation coefficient comparing CORB and COIHM was 0.83 (range: 0.63–0.98). Comparing CORB with COECHO and COICG resulted in mean intra-patient correlation coefficients of 0.73 (−0.29–0.94) and 0.63 (−0.29–0.96). In a statistical model where slope and intercept was considered random between patients the coefficient of determination (R2) comparing CORB and COIHM was 0.91. Mean bias was −0.39 L/min (11%). Limits of agreement were ±1.56 L/min and relative error was 21%. Conclusions. A simple algorithm based on RV pressure wave form characteristics derived from an IHM can be used to estimate changes in CO in heart failure patients. These findings encourage further research aiming to improve and validate the algorithm.
Ståhlberg et al. (Mon,) conducted a observational in Heart failure (n=12). Algorithm estimating cardiac output from RV pressure waveforms via IHM vs. Inert gas rebreathing, echocardiography, and impedance cardiography was evaluated on Correlation between estimated CO derived from IHM and CO measured with inert gas rebreathing (Median correlation coefficient 0.83). An algorithm estimating changes in cardiac output from right ventricular pressure waveforms via an implantable hemodynamic monitor correlated well with inert gas rebreathing (median correlation 0.83).
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