Abstract

Transcatheter aortic valve replacement (TAVR) has become a treatment option for patients with severe aortic stenosis (AS) and high surgical risk. Assessment of symptoms in these patients is challenging because of advanced age, comorbidities, and limited physical activity. Noninvasive quantification of pulmonary capillary wedge pressure (PCWP) in candidates for TAVR may be helpful for risk stratification. The objective of the study was to create a model for estimation of PCWP by echo Doppler in patients with severe AS. Data from 80 patients with severe AS referred for TAVR were used to develop an echo Doppler model for predicting PCWP. Its performance was evaluated in the test cohort of 33 patients who had invasive and noninvasive evaluation. No single echo Doppler parameter estimated PCWP accurately. In the retrospective analysis, the multilinear regression provided an accurate estimate of PCWP (r(2) = 0.74). The model included, in order of importance (all P < 0.05), the ratio of early transmitral velocity (E) to annular velocity (E'), the left ventricular ejection fraction, and the velocity time integral of tricuspid regurgitation signal. In the prospective cohort of patients with severe AS, the model demonstrated good predictive ability of PCWP (r = 0.77, P < 0.01). In patients with severe AS, noninvasive estimation of PCWP is possible by integration of two-dimensional, spectral, and tissue Doppler variables.

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