Ciska Janssens‑Böcker · Claudia Doberenz · Marta Monteiro · Marta de Oliveira Ferreira
C. Janssens‑Böcker (*) · C. Doberenz MedSkin Solutions Dr. Suwelack AG, Billerbeck, Germany e-mail: ciska.janssens-boecker@medskin-suwelack. com M. Monteiro · M. de Oliveira Ferreira Inovapotek, Pharmaceutical Research & Development, Porto, Portugal
Received: September 10, 2024 / Accepted: November 27, 2024 / Published online: December 21, 2024 © The Author(s) 2024
Supplementary Information
The online version contains supplementary material available at https://doi.org/10.1007/s13555-024-01321-x.
ABSTRACT
Introduction:
The human skin acts as a pro‑ tective barrier against external pathogens and hosts a diverse microbiome consisting of bacte‑ ria, fungi, viruses, and archaea. Disruptions to the skin microbiome can impact immune func‑ tion, leading to inflammatory and autoimmune conditions. The importance of pH for the micro‑ biome is paramount. Cosmetic skincare prod‑ ucts interact with the skin microbiome and skin pH, playing a key role in maintaining microbial balance. Research suggests that products with non-physiological pH levels may disrupt the skin microbiota. Our clinical study aimed to evaluate the effects of low-pH cosmetic products (pH<5) on the skin microbiome, contributing to improved skin health.
Methods: The clinical study focused on evalu‑
ating the skin microbiome diversity following
the application for 28 days of four different low
pH cosmetic products (vitamin C, resveratrol, a
collagen mask, and a native algae mask) on the
forearms of post-menopausal women with skin
pH>5.5.
Results:
The diversity of the natural skin microbiome increased consistently through‑ out the study, evident in both the untreated area and after the application of the Vitamin C Concentrate, Resveratrol Concentrate, Colla‑ gen Mask, and Native Algae Mask, as indicated by Shannon’s diversity index. The native algae mask notably reduced the Corynebacterium genus and significantly lowered the pH. The skin pH changes corresponded with microbiota stability.
Conclusions:
In conclusion, enhanced diver‑ sity of the natural skin microbiome was observed over the study duration. None of the investi‑ gational products caused significant disruption to the skin microbiome diversity, as evidenced by the stable Shannon’s diversity index and relative abundance of specific genera. Notably, the native algae mask significantly decreased the presence of the opportunistic pathogenic Corynebacterium genus, which is likely attribut‑ able to a minor reduction in skin pH following extended product use. The findings suggest that the use of low-pH skincare products, like the native algae mask, do not disrupt skin micro‑ biome diversity and may have the potential to positively impact skin microbiome diversity and health by reducing certain pathogenic microbial
Keywords: Human skin; Microbiome; Skincare; Cosmetics; pH
Key Summary Points
Why carry out this study?
This study investigated the intricate relation‑ ship between cosmetic skincare products, the skin microbiome, and skin health. It evaluated the impact of low-pH skincare products on skin microbiome diversity and skin barrier function.
What was learned from this study?
The diversity of the skin microbiome increased following the application of vita‑ min C concentrate, resveratrol concentrate, a collagen mask, and a native algae mask, as demonstrated by Shannon’s diversity index. The native algae mask notably decreased the genus Corynebacterium and lowered the pH, with the pH changes aligning with micro‑ biota stability. Low-pH skincare products maintain skin microbiome diversity and health by reducing pathogenic microbial populations, promot‑ ing a positive impact on skin microbiome health.
Wei Li1 , Jing Huang1 , Hua Li1 , Tingchun Gou1 , Ling Tang1 , Xuesu Dong1 and Chunmei Luo2*
*Correspondence: Chunmei Luo 该Email地址已收到反垃圾邮件插件保护。要显示它您需要在浏览器中启用JavaScript。
1 Department of Anesthesiology, Xinqiao Hospital, Army Medical University, Chongqing, P.R. China
2 Department of Orthopedics, Xinqiao Hospital, Army Medical University,83 Xinqiao Main Street, Shapingba District, Chongqing 400037, P.R. China
© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creati vecommons.org/licenses/by-nc-nd/4.0/.
Abstract
Objective To construct a model for predicting the risk of IAPI (Intraoperative acquired pressure injury) in the facial area of patients undergoing prone position surgery and to validate the predictive effectiveness of this model.
Methods We analyzed data from 970 patients who underwent prone position surgery at a tertiary general hospital in Chongqing, China, from January 2022 to October 2022. Using univariate analysis and logistic regression analysis, we identified risk factors for IAPI in the maxillofacial region of patients undergoing prone position surgery and constructed a nomogram prediction model using R software. On the basis of the selected predictive factors, a risk prediction model was constructed and evaluated using the concordance index (C-index) and the area under the curve (AUC). External validation was conducted to verify the model’s performance.
Results The incidence of IAPI in prone surgery patients was 17.8%. Multivariate logistic regression analysis revealed that BMI, history of diabetes, surgical duration, muscle relaxant dosage, history of allergies, and preoperative Braden score were the most important factors for the occurrence of intraoperative pressure injuries in the facial region of patients who underwent prone position surgery (P<0.05). The area under the ROC curve of the prediction model is 0.863, the maximum Youden index is 0.681, the optimal cutoff value is 0.214, the sensitivity is 0.815, the specificity is 0.866, and the accuracy in actual application is 91.1%.
Conclusions The IAPI risk prediction model for maxillofacial surgery patients in the prone position constructed in this study demonstrated good predictive performance, providing a basis for clinical medical staff to quickly identify high risk patients and implement precise intervention plans before surgery.
Keywords Pressure ulcer, Prone position, Maxillofacial, Nomogram, Prediction model
Authors
Lia van Rijswijk
Dot Weir
Sinan Aydoğan
Nurcan Çalışkan
Emine Kır Biçer
伤口世界平台生态圈，以“关爱人间所有伤口患者”为愿景，连接、整合和拓展线上和线下的管理慢性伤口的资源，倡导远程、就近和居家管理慢性伤口，解决伤口专家的碎片化时间的价值创造、诊疗经验的裂变复制、和患者的就近、居家和低成本管理慢性伤口的问题。
2019广东省医疗行业协会伤口管理分会年会
扫一扫了解详情:
任何关于疾病的建议都不能替代执业医师的面对面诊断。所有门诊时间仅供参考，最终以医院当日公布为准。
网友、医生言论仅代表其个人观点，不代表本站同意其说法，请谨慎参阅，本站不承担由此引起的法律责任。
