Brandt Michael G, Moore Corey C, Micomonaco Damian, Fung Kevin, Franklin Jason H, Yoo John, Doyle Philip C
Department of Otolaryngology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada.
Laryngoscope. 2009 May;119(5):841-5. doi: 10.1002/lary.20139.
OBJECTIVES/HYPOTHESIS: To determine the efficacy of interventions to improve and monitor skin scarring, a valid assessment instrument must be used. Current tools used for the evaluation of skin scarring employ equal appearing interval (EAI) scales that assume scar dimensions conform to linear models. Some scar features meet these assumptions, whereas others may not be accurately described. This study determined if current methods of scar evaluation validly characterize inherent features of scars, and in doing so, empirically validate if specific scar dimensions were best represented by linear or nonlinear mathematical models.
Prospective, randomized, cross-over trial.
Twenty-seven observers evaluated 30 scar photos utilizing both EAI and direct magnitude estimation (DME) scaling methods. The method of scaling and the assessed dimensions of vascularity, pigmentation, thickness, pliability, and surface area were randomized. EAI and DME data were evaluated to identify whether each scar dimension conformed to linear or curvilinear mathematical models.
Best-fit analysis revealed the dimensions of vascularity and pigmentation to be more accurately described using curvilinear functions, whereas pliability, thickness and surface area were best defined using linear models.
The scar dimension under assessment must be considered when attempting to validly apply an assessment instrument. Several commonly evaluated dimensions of skin scarring are not appropriately characterized using linear EAI scales. Thus, present assessment instruments must be revised to account for this aberration to allow for a valid means of objectively evaluating skin scarring.
目的/假设:为了确定改善和监测皮肤瘢痕的干预措施的疗效,必须使用一种有效的评估工具。目前用于评估皮肤瘢痕的工具采用等距量表,该量表假定瘢痕尺寸符合线性模型。一些瘢痕特征符合这些假设,而其他特征可能无法准确描述。本研究确定了目前的瘢痕评估方法是否能有效表征瘢痕的固有特征,并通过实证验证特定瘢痕尺寸是否最好由线性或非线性数学模型表示。
前瞻性、随机、交叉试验。
27名观察者使用等距量表(EAI)和直接数量估计(DME)量表方法评估30张瘢痕照片。量表方法以及血管分布、色素沉着、厚度、柔韧性和表面积的评估维度是随机的。对EAI和DME数据进行评估,以确定每个瘢痕维度是否符合线性或曲线数学模型。
最佳拟合分析显示,血管分布和色素沉着的维度用曲线函数描述更准确,而柔韧性、厚度和表面积用线性模型定义最佳。
在试图有效应用评估工具时,必须考虑所评估的瘢痕维度。使用线性EAI量表不能恰当表征皮肤瘢痕几个常用评估维度。因此,目前的评估工具必须进行修订以考虑这种偏差,从而提供一种客观评估皮肤瘢痕的有效方法。