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如何改善肤质:基于共识的治疗方案及专家指南

How to Treat Skin Quality: A Consensus-Based Treatment Algorithm and Expert Guidance.

作者信息

Kerscher Martina, Goldie Kate, Hirano Cyro, Lowe Stephen, Mariwalla Kavita, Moore Milton, Park Je-Young, Sajic Dusan, Sattler Sonja, Spada Julieta, Vachiramon Vasanop, Viscomi Bianca

机构信息

Division of Cosmetic Sciences, University of Hamburg, Hamburg, Germany.

Goldie Aesthetics and Wellness, London, UK.

出版信息

J Cosmet Dermatol. 2025 Sep;24 Suppl 4(Suppl 4):e70359. doi: 10.1111/jocd.70359.

DOI:10.1111/jocd.70359
PMID:40847902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12374567/
Abstract

INTRODUCTION

Skin quality can be described using four emergent perceptual categories (EPCs): skin tone evenness, skin surface evenness, skin firmness, and skin glow. While the publication in which the EPCs were originally described by Goldie et al. notes possible treatments for each EPC, there remains a need for a resource to guide clinicians in treatment selection when addressing EPCs in clinical practice.

METHODS

Twelve expert aesthetic physicians from across the globe participated in this EPC working group. A modified Delphi method was used to develop a treatment algorithm. First, panelists ranked a range of aesthetic treatments based on their ability to directly improve a given EPC. A draft algorithm was developed and evaluated during a moderated discussion. The treatment algorithm was then updated and reviewed by each individual participant, with the appropriateness of treatments listed for each EPC ranked using the RAND/UCLA scale. The algorithm was again updated based on this feedback and presented to the group for final review and approval during another virtual meeting.

RESULTS

The treatment algorithm developed by the working group is presented here alongside clinical pearls and preferred approaches for managing each EPC. It is the hope of the working group that the algorithm can be applied in real-world clinical practice to improve patient skin quality and aesthetic outcomes.

CONCLUSION

The presented guidance can serve as an approach to improving skin quality utilizing the framework of EPCs. The treatment algorithm may be applied to a range of skin types in practices across the globe.

摘要

引言

皮肤质量可以通过四种新兴感知类别(EPCs)来描述:肤色均匀度、皮肤表面平整度、皮肤紧致度和皮肤光泽度。虽然戈尔迪等人最初描述EPCs的出版物提到了针对每种EPC的可能治疗方法,但在临床实践中处理EPCs时,仍需要一种资源来指导临床医生进行治疗选择。

方法

来自全球的12位专业美容医生参与了这个EPCs工作组。采用改良的德尔菲法来制定治疗算法。首先,小组成员根据一系列美容治疗直接改善特定EPC的能力进行排名。在一次有主持人的讨论中制定并评估了一份算法草案。然后由每位参与者对治疗算法进行更新和审查,使用兰德/加州大学洛杉矶分校量表对列出的针对每种EPC的治疗方法的适宜性进行排名。根据这一反馈再次更新算法,并在另一次虚拟会议上提交给小组进行最终审查和批准。

结果

工作组制定的治疗算法以及管理每种EPC的临床要点和首选方法在此一并呈现。工作组希望该算法能够应用于实际临床实践中,以改善患者的皮肤质量和美容效果。

结论

所提供的指导可作为利用EPCs框架改善皮肤质量的一种方法。该治疗算法可应用于全球各地各种皮肤类型的治疗实践中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dd/12374567/52ffdf6a0108/JOCD-24-e70359-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dd/12374567/f41a4695c19d/JOCD-24-e70359-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dd/12374567/52ffdf6a0108/JOCD-24-e70359-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dd/12374567/f41a4695c19d/JOCD-24-e70359-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dd/12374567/52ffdf6a0108/JOCD-24-e70359-g002.jpg

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