Evaluating carotid and aortic peak velocity variation as an alternative index for stroke volume and pulse pressure variation: a method comparison study

Joris van Houte , Esmée C. de Boer , Luuk van Knippenberg , Irene Suriani , Michaël I. Meesters , Loek P.B. Meijs , Leon J. Montenij , Arthur R. Bouwman
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Abstract

The peak velocity variation within the carotid artery (ΔVpeakCCA) and left ventricular outflow tract (ΔVpeakLVOT) is derived from the pulsed wave Doppler waveform and may predict fluid responsiveness. The aim of this study was to evaluate ΔVpeakCCA and ΔVpeakLVOT against calibrated stroke volume variation (SVV) and pulse pressure variation (PVV). Therefore, eighteen cardiac surgery patients were included in this prospective observational study. Doppler measurements were performed after induction of anesthesia, after a passive leg raise, and at the end of surgery. Simultaneously, SVV and PPV were measured by pulse-contour-analysis (PiCCO). The correlation, methodological agreement, concordance, and clinical agreement between Doppler and PiCCO measurements were assessed. The correlation between SVV and ΔVpeakCCA was strong (ρ = 0.88). Bland-Altman analysis demonstrated a bias of 0.01%, and LOA +/− 4.6%, acceptable concordance (93%), and close to acceptable clinical agreement (88%). For PPV and ΔVpeakCCA correlation was also strong (ρ = 0.73), bias was −0.2%, LOA +/− 7.6%, with intermediate acceptable concordance (90%), and low clinical agreement (72%). Analysis of ΔVpeakLVOT measurements demonstrated poor statistical agreement with SVV and PPV. In conclusion, in cardiac surgery patients ΔVpeakCCA, as opposed to ΔVpeakLVOT, has acceptable statistical and clinical agreement with SVV measurements. ΔVpeakCCA may qualify as a potential tool for non-invasive assessment of fluid responsiveness.

评价颈动脉和主动脉峰值速度变化作为卒中容量和脉压变化的替代指标:一项方法比较研究
颈动脉(ΔVpeakCCA)和左心室流出道(ΔVpeakLVOT)内的峰值速度变化源自脉冲波多普勒波形,可以预测流体反应性。本研究的目的是评估ΔVpeakCCA和ΔVpeak LVOT与校准行程容积变化(SVV)和脉冲压力变化(PVV)的关系。因此,本前瞻性观察研究纳入了18名心脏手术患者。在麻醉诱导后、被动抬腿后和手术结束时进行多普勒测量。同时,采用脉冲轮廓分析法(PiCCO)测量SVV和PPV。评估多普勒和PiCCO测量之间的相关性、方法一致性、一致性和临床一致性。SVV和ΔVpeakCCA之间的相关性很强(ρ=0.88)。Bland-Altman分析显示偏差为0.01%,LOA+/-4.6%,可接受的一致性(93%),接近可接受的临床一致性(88%)。PPV和ΔVpeakCCA的相关性也很强(ρ=0.73),偏倚为-0.2%,LOA+/-7.6%,具有中等可接受的一致性(90%)和低临床一致性(72%)。ΔVpeakLVOT测量结果的分析表明,与SVV和PPV的统计一致性较差。总之,在心脏手术患者中,ΔVpeakCCA与ΔVpeak LVOT相比,与SVV测量具有可接受的统计学和临床一致性。ΔVpeakCCA可以作为一种潜在的非侵入性评估液体反应性的工具。
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