OPTIMIZATION OF SYMPTOMATIC THERAPY IN PARKINSONS-DISEASE
OPTIMIZATION OF SYMPTOMATIC THERAPY IN PARKINSONS-DISEASE
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DOI：
10.1109/10.19857
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发表时间：
1989-03-01
影响因子：
4.6
通讯作者：
ALBANI, C
中科院分区：
文献类型：
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作者：
HACISALIHZADE, SS;MANSOUR, M;ALBANI, C
左旋多巴是帕金森病对症治疗最常用的药物之一，借助基于视觉跟踪的方法推导了左旋多巴剂量效应关系的三阶非线性数学模型，该模型可以定量、客观地测量某些帕金森病症状。由于患者对治疗的反应存在很大的差异，因此该模型的参数是针对每个受试者单独确定的。然后使用该模型根据目标函数单独优化每个患者的剂量方案（根据每个患者的临床特点和需要），该目标函数包括动态症状和待施用的左旋多巴总量。提出了这种用于优化治疗的控制工程方法的令人鼓舞的临床结果。讨论了这种方法的优点和缺点，并指出了进一步的研究方向。<>
A third-order nonlinear mathematical model of the dose-effect relationship of levodopa, one of the most common drugs used for the symptomatic therapy of Parkinson's disease, is derived with the aid of a visual-tracking-based method which allows the measurement of some Parkinsonian symptoms quantitatively and objectively. The parameters of this model are identified for each subject separately due to the large interpatient variability in response to treatment. The model is then used to optimize the dosage regimen for each patient individually (according to the clinical particularities and needs of each patient) with respect to an objective function which includes the symptoms dynamically and the total amount of levodopa which is to be administered. Encouraging clinical results of this control engineering approach to therapy optimization are presented. The advantages and drawbacks of this approach are discussed and further research directions are indicated.<>