School for Physiology, Nutrition and Consumer Sciences, North-West University, Potchefstroom, North-West province 2520, South Africa.
Skin Res Technol. 2013 Aug;19(3):265-78. doi: 10.1111/srt.12037. Epub 2013 Jan 19.
There is an emerging perspective that it is not sufficient to just assess skin exposure to physical and chemical stressors in workplaces, but that it is also important to assess the condition, i.e. skin barrier function of the exposed skin at the time of exposure. The workplace environment, representing a non-clinical environment, can be highly variable and difficult to control, thereby presenting unique measurement challenges not typically encountered in clinical settings.
An expert working group convened a workshop as part of the 5th International Conference on Occupational and Environmental Exposure of Skin to Chemicals (OEESC) to develop basic guidelines and best practices (based on existing clinical guidelines, published data, and own experiences) for the in vivo measurement of transepidermal water loss (TEWL) and skin hydration in non-clinical settings with specific reference to the workplace as a worst-case scenario.
Key elements of these guidelines are: (i) to minimize or recognize, to the extent feasible, the influences of relevant endogenous-, exogenous-, environmental- and measurement/instrumentation-related factors; (ii) to measure TEWL with a closed-chamber type instrument; (iii) report results as a difference or percent change (rather than absolute values); and (iv) accurately report any notable deviations from this guidelines.
It is anticipated that these guidelines will promote consistent data reporting, which will facilitate inter-comparison of study results.
有一种新观点认为,仅仅评估工作场所中皮肤暴露于物理和化学应激源的情况是不够的,评估暴露时皮肤的状况(即皮肤屏障功能)也很重要。工作场所环境代表非临床环境,其具有高度可变性且难以控制,因此提出了在临床环境中通常不会遇到的独特测量挑战。
一个专家工作组作为第五届国际化学品职业和环境皮肤暴露会议(OEESC)的一部分召开了一次研讨会,旨在制定基本准则和最佳实践(基于现有的临床准则、已发表的数据和自身经验),用于在非临床环境中测量经表皮水分流失(TEWL)和皮肤水分,特别参考工作场所作为最坏情况。
这些准则的关键要素是:(i)尽可能最小化或认识到相关的内源性、外源性、环境和测量/仪器相关因素的影响;(ii)使用密闭室式仪器测量 TEWL;(iii)报告结果为差异或百分比变化(而不是绝对值);以及(iv)准确报告任何偏离这些准则的明显偏差。
预计这些准则将促进一致的数据报告,这将有助于比较研究结果。