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
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
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
中山二院糖尿病足中心
这只熟悉的脚
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2018年12月5日
2018年12月8日
等再长几天
足背就痊愈了
足底再观察观察!
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
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