Marques Nicole Ribeiro, Whitehead William E, Kallu Upendar R, Kinsky Michael P, Funston Joe S, Wassar Taoufik, Khan Muzna N, Milosch Mindy, Jupiter Daniel, Grigoriadis Karolos, Kramer George C
From the *Department of Anesthesiology, University of Texas Medical Branch, Galveston, Texas; †Department of Mechanical Engineering, University of Houston, Houston, Texas; and ‡Department of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, Texas.
Anesth Analg. 2017 Jul;125(1):110-116. doi: 10.1213/ANE.0000000000001961.
Vasopressors provide a rapid and effective approach to correct hypotension in the perioperative setting. Our group developed a closed-loop control (CLC) system that titrates phenylephrine (PHP) based on the mean arterial pressure (MAP) during general anesthesia. As a means of evaluating system competence, we compared the performance of the automated CLC with physicians. We hypothesized that our CLC algorithm more effectively maintains blood pressure at a specified target with less blood pressure variability and reduces the dose of PHP required.
In a crossover study design, 6 swine under general anesthesia were subjected to a normovolemic hypotensive challenge induced by sodium nitroprusside. The physicians (MD) manually changed the PHP infusion rate, and the CLC system performed this task autonomously, adjusted every 3 seconds to achieve a predetermined MAP.
The CLC maintained MAP within 5 mm Hg of the target for (mean ± standard deviation) 93.5% ± 3.9% of the time versus 72.4% ± 26.8% for the MD treatment (P = .054). The mean (standard deviation) percentage of time that the CLC and MD interventions were above target range was 2.1% ± 3.3% and 25.8% ± 27.4% (P = .06), respectively. Control statistics, performance error, median performance error, and median absolute performance error were not different between CLC and MD interventions. PHP infusion rate adjustments by the physician were performed 12 to 80 times in individual studies over a 60-minute period. The total dose of PHP used was not different between the 2 interventions.
The CLC system performed as well as an anesthesiologist totally focused on MAP control by infusing PHP. Computerized CLC infusion of PHP provided tight blood pressure control under conditions of experimental vasodilation.
血管升压药为围手术期纠正低血压提供了一种快速有效的方法。我们团队开发了一种闭环控制系统(CLC),在全身麻醉期间根据平均动脉压(MAP)滴定去氧肾上腺素(PHP)。作为评估系统能力的一种方法,我们将自动化CLC与医生的表现进行了比较。我们假设我们的CLC算法能更有效地将血压维持在指定目标,减少血压变异性,并减少所需的PHP剂量。
在一项交叉研究设计中,对6只全身麻醉的猪进行硝普钠诱导的正常血容量性低血压挑战。医生(MD)手动改变PHP输注速率,而CLC系统自动执行此任务,每3秒调整一次以达到预定的MAP。
CLC将MAP维持在目标值±5mmHg范围内的时间为(均值±标准差)93.5%±3.9%,而MD治疗为72.4%±26.8%(P = 0.054)。CLC和MD干预高于目标范围的平均(标准差)时间百分比分别为2.1%±3.3%和25.8%±27.4%(P = 0.06)。CLC和MD干预之间的控制统计、性能误差、中位性能误差和中位绝对性能误差没有差异。在个体研究中,医生在60分钟内对PHP输注速率进行了12至80次调整。两种干预所用PHP的总剂量没有差异。
CLC系统的表现与完全专注于通过输注PHP控制MAP的麻醉医生相当。在实验性血管舒张条件下,计算机化的PHP CLC输注提供了严格的血压控制。