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Drug-induced respiratory depression: An integrated model of drug effects on the hypercapnic and hypoxic drive

机译:药物诱导的呼吸抑郁症:对高碳化和缺氧驱动的药物影响的综合模型

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Drug-induced respiratory depression is a common side effect of the agents used in anesthesia practice to provide analgesia and sedation. Depression of the ventilatory drive in the spontaneously breathing patient can lead to severe cardiorespiratory events and it is considered a primary cause of morbidity. Reliable predictions of respiratory inhibition in the clinical setting would therefore provide a valuable means to improve the safety of drug delivery. Although multiple studies investigated the regulation of breathing in man both in the presence and absence of ventilatory depressant drugs, a unified description of respiratory pharmacodynamics is not available. This study proposes a mathematical model of human metabolism and cardiorespiratory regulation integrating several isolated physiological and pharmacological aspects of acute drug-induced ventilatory depression into a single theoretical framework. The description of respiratory regulation has a parsimonious yet comprehensive structure with substantial predictive capability. Simulations relative to the synergistic interaction of the hypercarbic and hypoxic respiratory drive and the global effect of drugs on the control of breathing are in good agreement with published experimental data. Besides providing clinically relevant predictions of respiratory depression, the model can also serve as a test bed to investigate issues of drug tolerability and dose finding/control under non-steady-state conditions.
机译:药物诱导的呼吸抑制是麻醉实践中使用的药剂的常见副作用,以提供镇痛和镇静。自发性呼吸患者的透气驱动的凹陷可导致严重的心肺事件,被认为是发病率的主要原因。因此,在临床环境中对呼吸抑制的可靠预测将提供有价值的方法来提高药物递送的安全性。虽然多项研究调查了在存在和缺乏通风抑制药物的人中呼吸调节,但呼吸药学动力学的统一描述不可用。本研究提出了人类代谢和心肺部规调节的数学模型,将急性药物诱导的呼吸抑郁症的几种分离的生理和药理学方面整合到一种理论框架中。呼吸监管的描述具有典范的又综合结构,具有大量预测能力。仿真相对于高碳酸和缺氧呼吸驱动的协同相互作用以及药物对呼吸控制的全球效果与公布的实验数据吻合良好。除了提供临床相关的呼吸抑制预测外,该模型还可以用作试验床,以研究非稳态条件下药物耐受性和剂量发现/控制的问题。

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