Rehabilitation Institute of Chicago, Northwestern University, Chicago, Illinois 60611, USA.
Pain Med. 2010 Aug;11(8):1212-5. doi: 10.1111/j.1526-4637.2010.00909.x.
The current diagnostic criteria for complex regional pain syndrome (CRPS), codified by the International Association for the Study of Pain's taxonomy committee, and newer statistically derived criteria (the "Budapest" criteria), are both deliberately based on bedside testing. Designing criteria that are accessible to any clinician, not requiring any special equipment or training, is very important for clinical diagnosis. However, that approach, albeit pragmatic, forces a very heavy reliance on the subjective (not only the subjective response of the patient, but the subjective impression of the clinician). This is very problematic scientifically and statistically. Fortunately, with some new technologies and new approaches to old technologies, significant improvements can be made not only in terms of quantification, but also in allowing significant objectification of the diagnostic data. We will initiate a discussion of some of these potentially useful approaches.
目前,国际疼痛研究协会的分类委员会制定了复杂区域疼痛综合征(CRPS)的诊断标准,以及新的基于统计学的标准(“布达佩斯”标准),这些标准都是基于床边测试的。设计一种易于临床医生使用的标准非常重要,它不需要任何特殊设备或培训,对于临床诊断来说至关重要。然而,这种方法虽然实用,但却非常依赖于主观因素(不仅是患者的主观反应,还有临床医生的主观印象)。从科学和统计学的角度来看,这是非常有问题的。幸运的是,通过一些新技术和旧技术的新方法,可以在量化方面,以及在使诊断数据得到显著客观化方面,取得显著的改进。我们将讨论其中一些可能有用的方法。