唐庆

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24 10月 2019

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Author : 伤口世界

1992年中山医科大学本科毕业，1999年获医学硕士学位，从事整形美容、癫痕治疗、创面修复临床工作近二十年。

熟悉各种常见的整形美容手术，在隆鼻、鼻畸形矫正、眼睑成型、隆下颌、乳房下垂和乳房发育不良等治疗方面有较丰富的临床经验，近年来还积极开展了微创整形美容，如生物注射法除皱、面部轮廓塑性及年轻化手术。

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Influence of Cosmetic Skincare Products with pHal Evaluation 2025-08-08 00:00

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.
Construction and validation of a predictive model for the risk of intraoperative acquired pressure injuries in the maxillofacial region in patients undergoing surgery in the prone position 2025-08-07 00:00

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
Correlation between myocardial work and disease activity in rheumatoid arthritis patients with preserved left ventricular ejection fraction: a retrospective study based on non‑invasive pressure‑strain loop 2025-08-06 00:00

Xiaolong Yu1 · Jing Xi1 · Jiabiao Wu2 · Ruixiao Song1

Received: 24 November 2024 / Revised: 18 January 2025 / Accepted: 16 February 2025 / Published online: 5 March 2025

© The Author(s) 2025

* Ruixiao Song 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 Ultrasonics, Wujin Hospital Affiliated with Jiangsu University, Changzhou, Jiangsu, China

2 Rheumatology and Immunology Department, Wujin Hospital Affiliated with Jiangsu University, Changzhou, Jiangsu, China

Abstract

Background Early cardiac damage is very common in RA patients, but it is usually subclinical. Therefore, finding a non invasive method for the early detection and treatment of cardiac damage in autoimmune diseases is particularly important.

Objective To evaluate left ventricular function changes in rheumatoid arthritis (RA) patients with preserved left ventricular ejection fraction (LVEF) using left ventricular pressure-strain loop (LV-PSL) technology and to explore the correlation between myocardial work (MW) and disease activity.

Methods A total of 62 RA patients with preserved LVEF, treated at Wujin Hospital Affiliated with Jiangsu University from January 2021 to September 2023, were included. Patients were categorized into low (25), medium (18), and high (19) disease activity groups based on the 28 joint disease activity score (DAS28). A control group of 29 healthy individuals was also established. LV-PSL technology assessed left ventricular global longitudinal strain (GLS) and MW parameters: global constructive work (GCW), global wasted work (GWW), global work index (GWI), and global work efficiency (GWE). Cor relations between MW parameters, GLS, LVEF, and DAS28 scores were analyzed.

Results There were no significant differences in general data between study and control groups (p>0.05). However, labora tory indicators (RF, CRP, ESR) showed significant differences (p<0.05). GWI, GCW, GWE, and GLS were significantly lower in the high disease activity group compared to controls (p<0.05). GWI, GCW, and GWE were positively correlated with LVEF and absolute GLS, while GWW correlated negatively with LVEF (p<0.05).

Conclusion RA disease activity is closely associated with impaired myocardial work. LV-PSL technology effectively moni tors myocardial function abnormalities in RA patients, providing valuable insights for clinical management.

Key PointsMyocardial work is significantly impaired in RA patients with high disease activity. Left ventricular pressure-strain loop (LV-PSL) technology effectively assesses cardiac function in this patient population. Increased disease activity correlates with reduced myocardial work parameters.

Keywords Left ventricular pressure-strain loop · Myocardial work · Rheumatoid arthritis · Speckle-tracking echocardiography

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主任医师、教授、博导，南方医科大学第三附属医院（广东省骨科医院）院长

唐庆

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Custom Mod Mega1

主任医师、教授、博导，南方医科大学第三附属医院（广东省骨科医院）院长

唐庆

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