BACKGROUND: The prognostic value of central aortic pulse pressure (PP-C) may have been underestimated due to its measurement inaccuracy. We aimed to investigate the accuracy of noninvasive brachial cuff-based estimation of PP-C by a generalized transfer function (GTF) or a novel pulse wave analysis (PWA) approach to directly estimate PP-C. METHODS: Invasive high-fidelity right brachial and central aortic pressure tracings, and left brachial pulse volume plethysmography (PVP) waveforms from an oscillometric blood pressure (BP) monitor were all digitized simultaneously in 40 patients during cardiac catheterization. An aortic-to-brachial GTF and a PWA multivariate prediction model using the PVP waveforms calibrated to brachial cuff systolic BP (SBP) and diastolic BP(DBP) were constructed. Accuracy of the two methods was examined in another 100 patients against invasively measured PP-C. RESULTS: The error of cuff PP in estimating PP-C was 1.8 ± 12.4 mm Hg. Application of the GTF on noninvasively calibrated PVP waveforms produced reconstructed aortic pressure waves and PP-C estimates with errors of -3.4 ± 11.6 mm Hg (PP-C = reconstructed aortic SBP - aortic DBP) and -2.3 ± 11.4 mm Hg (PP-C = reconstructed aortic SBP - cuff DBP), respectively. The observed systematic errors were proportional to the magnitudes of PP-C. In contrast, the error of the PWA prediction model was 3.0 ± 7.1 mm Hg without obvious proportional systematic error. CONCLUSIONS: Large random and systematic errors are introduced into the PP-C estimates when PP-C is calculated as the difference between the estimated central SBP and central or cuff DBP. The accuracy can be improved substantially with the novel PWA approach.
BACKGROUND: The prognostic value of central aortic pulse pressure (PP-C) may have been underestimated due to its measurement inaccuracy. We aimed to investigate the accuracy of noninvasive brachial cuff-based estimation of PP-C by a generalized transfer function (GTF) or a novel pulse wave analysis (PWA) approach to directly estimate PP-C. METHODS: Invasive high-fidelity right brachial and central aortic pressure tracings, and left brachial pulse volume plethysmography (PVP) waveforms from an oscillometric blood pressure (BP) monitor were all digitized simultaneously in 40 patients during cardiac catheterization. An aortic-to-brachial GTF and a PWA multivariate prediction model using the PVP waveforms calibrated to brachial cuff systolic BP (SBP) and diastolic BP(DBP) were constructed. Accuracy of the two methods was examined in another 100 patients against invasively measured PP-C. RESULTS: The error of cuff PP in estimating PP-C was 1.8 ± 12.4 mm Hg. Application of the GTF on noninvasively calibrated PVP waveforms produced reconstructed aortic pressure waves and PP-C estimates with errors of -3.4 ± 11.6 mm Hg (PP-C = reconstructed aortic SBP - aortic DBP) and -2.3 ± 11.4 mm Hg (PP-C = reconstructed aortic SBP - cuff DBP), respectively. The observed systematic errors were proportional to the magnitudes of PP-C. In contrast, the error of the PWA prediction model was 3.0 ± 7.1 mm Hg without obvious proportional systematic error. CONCLUSIONS: Large random and systematic errors are introduced into the PP-C estimates when PP-C is calculated as the difference between the estimated central SBP and central or cuff DBP. The accuracy can be improved substantially with the novel PWA approach.
Authors: Jonathan R Weir-McCall; Matthew Lambert; Stephen J Gandy; Jill J F Belch; Ian Cavin; Shelley A Henderson; Roberta Littleford; Jennifer A Macfarlane; Shona Z Matthew; R Stephen Nicholas; Allan D Struthers; Frank Sullivan; Richard D White; J Graeme Houston Journal: J Cardiovasc Magn Reson Date: 2018-01-30 Impact factor: 5.364
Authors: James E Sharman; Alberto P Avolio; Johannes Baulmann; Athanase Benetos; Jacques Blacher; C Leigh Blizzard; Pierre Boutouyrie; Chen-Huan Chen; Phil Chowienczyk; John R Cockcroft; J Kennedy Cruickshank; Isabel Ferreira; Lorenzo Ghiadoni; Alun Hughes; Piotr Jankowski; Stephane Laurent; Barry J McDonnell; Carmel McEniery; Sandrine C Millasseau; Theodoros G Papaioannou; Gianfranco Parati; Jeong Bae Park; Athanase D Protogerou; Mary J Roman; Giuseppe Schillaci; Patrick Segers; George S Stergiou; Hirofumi Tomiyama; Raymond R Townsend; Luc M Van Bortel; Jiguang Wang; Siegfried Wassertheurer; Thomas Weber; Ian B Wilkinson; Charalambos Vlachopoulos Journal: Eur Heart J Date: 2017-10-01 Impact factor: 29.983