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首页> 外文期刊>Journal of clinical monitoring and computing >A comprehensive, computer-model-based approach for diagnosis and treatment of complex acid-base disorders in critically-ill patients.
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A comprehensive, computer-model-based approach for diagnosis and treatment of complex acid-base disorders in critically-ill patients.

机译:一种基于计算机模型的综合方法,用于诊断和治疗重症患者的复杂酸碱性疾病。

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We have developed a computer-model-based approach to quantitatively diagnose the causes of metabolic acid-base disorders in critically-ill patients. We use an interstitial-plasma-erythrocyte (IPE) model that is sufficiently detailed to accurately calculate steady-state changes from normal in fluid volumes and electrolyte concentrations in a given patient due to a number of causes of acid-base disorders. Normal fluid volumes for each patient are determined from their sex, height and weight using regression equations derived from measured data in humans. The model inputs (electrolyte masses and volumes) are altered to simulate the laboratory chemistry of each critically-ill patient. In this process, the model calculates changes in body-fluid volumes, osmolality and yields the individual values of IPE base excess (BE(IPE)) attributed to changes due to: (1) fluid dilution/contraction, (2) gain or loss of Cl(-), (3) hyper- or hypoalbuminemia, (4) presence of unmeasured ions, (5) gain of lactate, (6) gain or loss of phosphate, (7) gain or loss of calcium and magnesium, (8) gain or loss of potassium and (9) gain or loss of sodium. We use critically-ill patient data to show how our new approach is more informative and much simpler to interpret as compared to the approaches of Siggaard-Andersen or Stewart. We demonstrate how the model can be used at the bedside to diagnose acid-base disorders and suggest appropriate treatment. Hence, this new approach gives clinicians a new tool for diagnosing disorders and specifying fluid-therapy options for critically-ill patients.
机译:我们已经开发出一种基于计算机模型的方法来定量诊断重症患者的代谢性酸碱紊乱的原因。我们使用间质血浆红细胞(IPE)模型,该模型足够详细,可以准确地计算出由于多种原因导致的酸碱紊乱,给定患者的液体量和电解质浓度与正常状态相比的稳态变化。使用从人体中测得的数据得出的回归方程式,根据他们的性别,身高和体重确定每个患者的正常体液量。更改模型输入(电解质的质量和体积)以模拟每位重症患者的实验室化学反应。在此过程中,该模型计算体液体积,重量克分子渗透压浓度的变化,并得出归因于以下原因而引起的变化的IPE基础过量(BE(IPE))的各个值:(1)流体稀释/收缩,(2)得失Cl(-),(3)高蛋白血症或低蛋白血症,(4)存在未测离子,(5)乳酸增加,(6)磷酸盐增加或减少,(7)钙和镁增加或减少, 8)钾的增加或减少,以及(9)钠的增加或减少。我们使用重症患者数据来说明,与Siggaard-Andersen或Stewart的方法相比,我们的新方法如何提供更多信息并且更容易解释。我们演示了该模型如何在床边用于诊断酸碱障碍并建议适当的治疗方法。因此,这种新方法为临床医生提供了一种用于诊断疾病和为重症患者指定液体疗法的新工具。

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