Division of Cardiac Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Md.
Department of Cardiac Surgery, The Texas Heart Institute, Houston, Tex.
J Thorac Cardiovasc Surg. 2017 Nov;154(5):1590-1598.e2. doi: 10.1016/j.jtcvs.2017.04.091. Epub 2017 Jul 24.
We sought to define the lower and upper limits of cerebral blood flow autoregulation and the optimal blood pressure during cardiopulmonary bypass. We further sought to identify variables predictive of these autoregulation end points.
Cerebral autoregulation was monitored continuously with transcranial Doppler in 614 patients during cardiopulmonary bypass enrolled in 3 investigations. A moving Pearson's correlation coefficient was calculated between cerebral blood flow velocity and mean arterial pressure to generate the variable mean velocity index. Optimal mean arterial pressure was defined as the mean arterial pressure with the lowest mean velocity index indicating the best autoregulation. The lower and upper limits of cerebral blood flow autoregulation were defined as the mean arterial pressure at which mean velocity index was increasingly pressure passive (ie, mean velocity index ≥0.4) with declining or increasing blood pressure, respectively.
The mean (± standard deviation) lower and upper limits of cerebral blood flow autoregulation, and optimal mean arterial pressure were 65 ± 12 mm Hg, 84 ± 11 mm Hg, and 78 ± 11 mm Hg, respectively, after adjusting for study enrollment. In 17% of patients, though, the lower limit of cerebral autoregulation was above this optimal mean arterial pressure, whereas in 29% of patients the upper limit of autoregulation was below the population optimal mean arterial pressure. Variables associated with optimal mean arterial pressure based on multivariate regression analysis were nonwhite race (increased 2.7 mm Hg; P = .034), diuretics use (decreased 1.9 mm Hg; P = .049), prior carotid endarterectomy (decreased 5.5 mm Hg; P = .019), and duration of cardiopulmonary bypass (decreased 1.28 per 60 minutes of cardiopulmonary bypass). The product of the duration and magnitude that mean arterial pressure during cardiopulmonary bypass was below the lower limit of cerebral autoregulation was associated with the risk for stroke (P = .02).
Real-time monitoring of autoregulation may improve individualizing mean arterial pressure during cardiopulmonary bypass and improving patient outcomes.
我们旨在确定体外循环期间脑血流自动调节的下限和上限以及最佳血压。我们还试图确定这些自动调节终点的预测变量。
在 3 项研究中,共有 614 例接受体外循环的患者接受经颅多普勒连续监测脑自动调节。通过计算脑血流速度与平均动脉压之间的移动 Pearson 相关系数来生成变量平均速度指数。最佳平均动脉压定义为平均动脉压最低的平均速度指数,表明自动调节最佳。脑血流自动调节的下限和上限分别定义为平均动脉压,随着血压的降低或升高,平均速度指数逐渐呈压力被动(即平均速度指数≥0.4)。
在校正研究纳入后,脑血流自动调节的平均(±标准偏差)下限和上限以及最佳平均动脉压分别为 65±12mm Hg、84±11mm Hg 和 78±11mm Hg。然而,在 17%的患者中,脑自动调节的下限高于最佳平均动脉压,而在 29%的患者中,自动调节的上限低于人群最佳平均动脉压。基于多变量回归分析,与最佳平均动脉压相关的变量是非白种人种族(增加 2.7mm Hg;P=0.034)、使用利尿剂(减少 1.9mm Hg;P=0.049)、颈动脉内膜切除术(减少 5.5mm Hg;P=0.019)和体外循环时间(每 60 分钟体外循环时间减少 1.28mm Hg)。体外循环期间平均动脉压低于脑自动调节下限的持续时间和幅度的乘积与中风风险相关(P=0.02)。
实时监测自动调节可能会改善体外循环期间平均动脉压的个体化治疗,并改善患者预后。