Abstract：
BACKGROUND: Evaluating cleansers and moisturizers provides important information to guide clinicians in the recommendation of these products. This project was performed to visualize skin hydration via heatmap after the use of a gentle skin cleanser (GSC) and moisturizing lotion (ML).
METHODS: Half-face, intra-individual open-label study in healthy volunteers. Cleanser was administered in a single application that was then wiped off the face. Moisturizing lotion was applied at least once-daily for one week. Hydration measurements were made at 30 pre-defined points on half of the face, at baseline, and 30 minutes post-application; an additional assessment at week 1 was made for the moisturizing lotion. Heatmaps were generated using Python programming software to interpolate hydration values to colors that were then superimposed onto the volunteer\'s facial image. Results: Five subjects completed the cleanser assessments, and 5 subjects completed the 30-minute evaluation for the lotion, with 4 completing the week 1 assessment. There was a visible shift in skin hydration post-GSC application from values approximately in the 12-42 AU (arbitrary unit) range to 30-60 AU at 30 minutes. Similarly, there was a shift in hydration from baseline to 30 minutes that continued to increase through week 1 of ML use.
CONCLUSIONS: This innovative heatmap data generation showed a clear, visual change in hydration over time. There was a visible shift in hydration values from baseline to 30 minutes after application of cleanser; hydration also improved after use of moisturizing lotion at 30 minutes and increased after week 1 application. J Drugs Dermatol. 2024;23(6):463-465. doi:10.36849/JDD.8221.
METHODS: Half-face, intra-individual open-label study in healthy volunteers. Cleanser was administered in a single application that was then wiped off the face. Moisturizing lotion was applied at least once-daily for one week. Hydration measurements were made at 30 pre-defined points on half of the face, at baseline, and 30 minutes post-application; an additional assessment at week 1 was made for the moisturizing lotion. Heatmaps were generated using Python programming software to interpolate hydration values to colors that were then superimposed onto the volunteer\'s facial image. Results: Five subjects completed the cleanser assessments, and 5 subjects completed the 30-minute evaluation for the lotion, with 4 completing the week 1 assessment. There was a visible shift in skin hydration post-GSC application from values approximately in the 12-42 AU (arbitrary unit) range to 30-60 AU at 30 minutes. Similarly, there was a shift in hydration from baseline to 30 minutes that continued to increase through week 1 of ML use.
CONCLUSIONS: This innovative heatmap data generation showed a clear, visual change in hydration over time. There was a visible shift in hydration values from baseline to 30 minutes after application of cleanser; hydration also improved after use of moisturizing lotion at 30 minutes and increased after week 1 application. J Drugs Dermatol. 2024;23(6):463-465. doi:10.36849/JDD.8221.
摘要：
背景：评估清洁剂和保湿剂提供了重要的信息，以指导临床医生推荐这些产品。该项目是在使用温和的皮肤清洁剂（GSC）和保湿乳液（ML）后通过热图可视化皮肤水合作用。
方法：半面，健康志愿者的个体内部开放标签研究。在单次应用中施用清洁剂,然后将其从脸上擦去。至少每天一次施用保湿乳液,持续一周。在面部一半的30个预定义点进行水合测量，在基线，和施用后30分钟;在第1周对保湿乳液进行额外评估。使用Python编程软件生成热图，将水合值插值为颜色，然后将其叠加到志愿者的面部图像上。结果:五名受试者完成了清洁剂评估,5名受试者完成了30分钟的乳液评估，4完成第1周的评估。在30分钟时,GSC施用后皮肤水合从大约12-42AU(任意单位)范围内的值到30-60AU存在可见的变化。同样，从基线到30分钟的水合作用发生了变化,并在ML使用的第1周持续增加.
结论：这种创新的热图数据生成表明，水合随时间的视觉变化。在施用清洁剂之后,水合值从基线到30分钟存在可见的偏移;在30分钟时使用保湿洗剂之后,水合也改善,并且在施用第1周之后增加。J药物Dermatol。2024；23（6）：463–465。doi:10.36849/JD.8221。
方法：半面，健康志愿者的个体内部开放标签研究。在单次应用中施用清洁剂,然后将其从脸上擦去。至少每天一次施用保湿乳液,持续一周。在面部一半的30个预定义点进行水合测量，在基线，和施用后30分钟;在第1周对保湿乳液进行额外评估。使用Python编程软件生成热图，将水合值插值为颜色，然后将其叠加到志愿者的面部图像上。结果:五名受试者完成了清洁剂评估,5名受试者完成了30分钟的乳液评估，4完成第1周的评估。在30分钟时,GSC施用后皮肤水合从大约12-42AU(任意单位)范围内的值到30-60AU存在可见的变化。同样，从基线到30分钟的水合作用发生了变化,并在ML使用的第1周持续增加.
结论：这种创新的热图数据生成表明，水合随时间的视觉变化。在施用清洁剂之后,水合值从基线到30分钟存在可见的偏移;在30分钟时使用保湿洗剂之后,水合也改善,并且在施用第1周之后增加。J药物Dermatol。2024；23（6）：463–465。doi:10.36849/JD.8221。
