BACKGROUND: Doppler echocardiography is the most frequent method for detecting and evaluating the severity of valvular aortic stenosis. The aim of this study was to assess the variability and reproducibility of echocardiographic parameters including aortic valve area (AVA), peak aortic jet velocity (V(max)), velocity ratio (V(LVOT)/V(max)), peak gradient (G(max)) and mean gradient (G(mean)) in aortic stenosis (AS) patients. METHODS: Doppler echocardiograms were obtained from 150 randomly selected patients (56.7% male; mean age 73 +/- 9 years) with asymptomatic moderate aortic valve stenosis. The echocardiographic measurements were performed by two independent level III (expert) blinded observers. To assess intra-observer variability, we evaluated parameters of AS progression at two different times (mean of two weeks after the first examination). RESULTS: For intra-observer variability (observer 1), the variation and reproducibility coefficients were, respectively, 1.88% and 0.16 m/s for V(max), 2.08% and 0.14 for V(LVOT)/V(max) 2.05% and 0.18 cm2 for AVA, 3.89% and 5.18 mmHg for G(max) and 7.87% and 6.30 mmHg for G(mean). For inter-observer variability, the variation and reproducibility coefficients were, respectively, 2.00% and 0.14 m/s for V(max), 2.91% and 0.14 for V(LVOT)/V(max), 7.67% and 0.16 cm2 for AVA, 8.53% and 7.06 mmHg for G(mean) and 3.90% and 5.58 mmHg for G(max). Both intra- and inter-observer studies showed excellent intraclass correlation coefficients (ICC) for all echocardiographic parameters (ICC ranged from 0.943 to 0.990 for intra-observer variability and from 0.955 to 0.992 for interobserver variability). CONCLUSION: Doppler echocardiographic measurements of AVA, V(max), G(max) and G(mean) are highly reproducible when performed by expert observers. Of all echocardiographic parameters, V(max) and V(LVOT)/V(max) showed the best variability and reproducibility, and thus constitute reliable tools for clinical and research purposes in aortic stenosis diagnosis and follow-up.
BACKGROUND: Doppler echocardiography is the most frequent method for detecting and evaluating the severity of valvular aortic stenosis. The aim of this study was to assess the variability and reproducibility of echocardiographic parameters including aortic valve area (AVA), peak aortic jet velocity (V(max)), velocity ratio (V(LVOT)/V(max)), peak gradient (G(max)) and mean gradient (G(mean)) in aortic stenosis (AS) patients. METHODS: Doppler echocardiograms were obtained from 150 randomly selected patients (56.7% male; mean age 73 +/- 9 years) with asymptomatic moderate aortic valve stenosis. The echocardiographic measurements were performed by two independent level III (expert) blinded observers. To assess intra-observer variability, we evaluated parameters of AS progression at two different times (mean of two weeks after the first examination). RESULTS: For intra-observer variability (observer 1), the variation and reproducibility coefficients were, respectively, 1.88% and 0.16 m/s for V(max), 2.08% and 0.14 for V(LVOT)/V(max) 2.05% and 0.18 cm2 for AVA, 3.89% and 5.18 mmHg for G(max) and 7.87% and 6.30 mmHg for G(mean). For inter-observer variability, the variation and reproducibility coefficients were, respectively, 2.00% and 0.14 m/s for V(max), 2.91% and 0.14 for V(LVOT)/V(max), 7.67% and 0.16 cm2 for AVA, 8.53% and 7.06 mmHg for G(mean) and 3.90% and 5.58 mmHg for G(max). Both intra- and inter-observer studies showed excellent intraclass correlation coefficients (ICC) for all echocardiographic parameters (ICC ranged from 0.943 to 0.990 for intra-observer variability and from 0.955 to 0.992 for interobserver variability). CONCLUSION: Doppler echocardiographic measurements of AVA, V(max), G(max) and G(mean) are highly reproducible when performed by expert observers. Of all echocardiographic parameters, V(max) and V(LVOT)/V(max) showed the best variability and reproducibility, and thus constitute reliable tools for clinical and research purposes in aortic stenosis diagnosis and follow-up.
Authors: Stefania Sacchi; Niti M Dhutia; Matthew J Shun-Shin; Massoud Zolgharni; Nilesh Sutaria; Darrel P Francis; Graham D Cole Journal: Eur Heart J Cardiovasc Imaging Date: 2018-12-01 Impact factor: 6.875
Authors: Mhairi Katrina Doris; William Jenkins; David E Newby; Marc R Dweck; Philip Robson; Tania Pawade; Jack Patrick Andrews; Rong Bing; Timothy Cartlidge; Anoop Shah; Alice Pickering; Michelle Claire Williams; Zahi A Fayad; Audrey White; Edwin Jr van Beek Journal: Heart Date: 2020-10-05 Impact factor: 5.994