J Shanghai Jiaotong Univ Sci ›› 2023, Vol. 28 ›› Issue (4): 526-.doi: 10.1007/s12204-022-2518-2

• • 上一篇    


贾菁怡1,李正裔1, 2,彭琳晶1,姚怡飞1   

  1. (上海交通大学 生物医学工程学院,上海200030;2. 卡内基梅隆大学 艺术学院,美国匹兹堡15213)
  • 收稿日期:2021-11-11 接受日期:2022-06-07 出版日期:2023-07-28 发布日期:2023-07-31

Early Detection Methods of Deep Tissue Pressure Injuries: A Systematic Review

JIA Jingyil (贾菁怡),LI Zhengyi1,2 (李正裔),PENG Linjing1 (彭琳晶),YAO Yifeil* (姚怡飞)   

  1. (1. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China; 2. College of Fine Arts, Carnegie Mellon University, Pittsburgh 15213, Pennsylvania, USA)
  • Received:2021-11-11 Accepted:2022-06-07 Online:2023-07-28 Published:2023-07-31

摘要: 深部组织压力性损伤(DTPIs)在医院和其他医疗单位中的患病率呈上升趋势,特别是在具有活动受限、感觉受损和组织耐受性降低的病理条件下。DTPIs的病因一直存在争议,现已提出了多种解释模型,包括直接机械损伤、缺血再灌注、淋巴阻塞和炎性细胞因子。根据这些病理生理场景,超声、皮下水分检测和生物标志物技术已被认为是DTPIs潜在的早期检测方法。本文对这三种方法进行了系统的综述。结论是,在DTPIs的产生和发展过程中,在不同的时间段结合和实施以上三种方法可能是DTPIs诊断最普适、有效的方式。

关键词: 深部组织压力性损伤,早期检测,超声,皮下水分检测,生物标志物技术

Abstract: Deep tissue pressure injuries (DTPIs) have witnessed a growing prevalence in hospitals and other health care units especially among individuals with pathological conditions that give rise to restricted mobility, impaired sensation, and reduced tissue tolerance. The etiology of DTPIs has been a subject of controversy, to which several explanatory models have been proposed, including direct mechanical insult, ischemia-reperfusion, lymphatic occlusion, and inflammatory cytokines. In line with these pathophysiological scenarios, ultrasound, subepidermal moisture detection, and biomarker technologies have been proposed as potential early detection methods of DTPIs. This paper provides a systematic review involving these three methods. The conclusion is that combining and implementing these methods at different time periods during DTPIs development and progression respectively is likely to be the most universal, effective and promising way for DTPIs diagnosis.

Key words: deep tissue pressure injury, early detection, ultrasound, subepidermal moisture detection, biomarker technologies