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Modelling blood pressure uncertainty for safety verification of propofol anesthesia

机译:建立血压不确定性模型以进行异丙酚麻醉的安全性验证

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Verifying safety of closed-loop drug delivery systems is a crucial step to obtain regulatory approval for such devices. Recently, we proposed a safety-preserving platform to formally verify the safety of closed-loop propofol anesthesia in the presence of uncertainty in patient models. This platform verifies that closed-loop anesthesia maintains the propofol concentration within the therapeutic window. To improve safety for at-risk patients, additional safety constraints on physiological variables, such as blood pressure, can be taken into account. To do so, an accurate description of the propofol effect on blood pressure as well as a comprehensive characterization of inter-patient variability are required. In this paper, we identify and validate a set of models characterizing the blood pressure response to propofol for 10 individual patients from clinical data. This model set shows uncertainty in the effect of propofol on blood pressure among at-risk patients. We use this model set to verify the safety of closed-loop propofol anesthesia subject to constraints on blood pressure using our safety verification platform. We show that there exists an admissible dose of propofol that maintains the propofol plasma concentration as well as blood pressure within safe bounds, without the need for additional treatment for hypotension. However, the dose of propofol which maintains safety, may not provide sufficient anesthesia for all patients and in critical cases treatment for hypotension would be required.
机译:验证闭环药物输送系统的安全性是获得此类设备监管批准的关键步骤。最近,我们提出了一个安全平台来在患者模型存在不确定性的情况下正式验证闭环丙泊酚麻醉的安全性。该平台验证闭环麻醉可在治疗窗口内维持丙泊酚浓度。为了提高高危患者的安全性,可以考虑对生理变量(例如血压)的其他安全性约束。为此,需要准确描述异丙酚对血压的影响以及对患者间差异的全面表征。在本文中,我们从临床数据中识别并验证了一组模型,该模型表征了10位个体患者对异丙酚的血压反应。该模型集显示了高危患者中异丙酚对血压影响的不确定性。我们使用此模型集使用我们的安全验证平台来验证在血压受限的情况下闭环丙泊酚麻醉的安全性。我们显示,存在丙泊酚的可接受剂量,可在安全范围内维持丙泊酚血浆浓度和血压,而无需进行其他低血压治疗。但是,维持安全性的丙泊酚剂量可能无法为所有患者提供足够的麻醉,在危急情况下,需要对低血压进行治疗。

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