Vita G, Princi P, Savica V, Bellinghieri G, Puglisi R M, Marabello L, Messina C
Institute of Neurological and Neurosurgical Sciences, University of Messina, Policlinico Universitario, Italy.
Clin Nephrol. 1991 Dec;36(6):290-3.
A pattern recognition analysis of six cardiovascular reflex tests was performed with the aim to increase their diagnostic efficiency. A normal model was defined by SIMCA method using log-transformed values of 85 healthy subjects. The model was tested with data from 60 patients with chronic renal failure. Specificity resulted 94% and sensitivity 96%. 55% of the uremics were recognized affected by autonomic damage. The method allowed a better definition of autonomic function in those patients defined as "borderline" on conventional evaluation of the tests. Pattern recognition analysis of autonomic tests provides a global assessment of all the tests performed. Its use should be encouraged as a diagnostic tool.
为提高六项心血管反射试验的诊断效率，进行了模式识别分析。使用85名健康受试者经对数转换后的值，通过SIMCA方法定义了一个正常模型。该模型用60例慢性肾功能衰竭患者的数据进行测试。特异性为94%，敏感性为96%。55%的尿毒症患者被识别为存在自主神经损伤。该方法能更好地界定在传统试验评估中被定义为“临界”的患者的自主神经功能。自主神经试验的模式识别分析可对所有进行的试验提供全面评估。应鼓励将其用作诊断工具。
