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中华损伤与修复杂志(电子版) ›› 2021, Vol. 16 ›› Issue (06) : 539 -541. doi: 10.3877/cma.j.issn.1673-9450.2021.06.016

综述

基于Benoit理论框架探讨人体成分分析法在预测手术获得性压力性损伤发生风险中的应用
陈沅1, 吴蓓雯2,(), 钱蒨健2, 陆树良3   
  1. 1. 200025 上海交通大学医学院附属瑞金医院手术室;200025 上海交通大学护理学院
    2. 200025 上海交通大学医学院附属瑞金医院手术室
    3. 200025 上海交通大学医学院附属瑞金医院烧伤科研究所
  • 收稿日期:2021-09-26 出版日期:2021-12-01
  • 通信作者: 吴蓓雯
  • 基金资助:
    上海交通大学护理学院护理高原学科建设专项基金(hlgy1912kygg)

Application of human body component analysis in predicting the risk of intraoperatively acquired pressure ulcer based on Benoit conceptual framework

Yuan Chen1, Beiwen Wu2,(), Qianjian Qian2, Shuliang Lu3   

  1. 1. Department of Operating, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; School of Nursing, Shanghai Jiao Tong University, Shanghai 200025, China
    2. Department of Operating, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
    3. Burn Research Institute, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
  • Received:2021-09-26 Published:2021-12-01
  • Corresponding author: Beiwen Wu
引用本文:

陈沅, 吴蓓雯, 钱蒨健, 陆树良. 基于Benoit理论框架探讨人体成分分析法在预测手术获得性压力性损伤发生风险中的应用[J/OL]. 中华损伤与修复杂志(电子版), 2021, 16(06): 539-541.

Yuan Chen, Beiwen Wu, Qianjian Qian, Shuliang Lu. Application of human body component analysis in predicting the risk of intraoperatively acquired pressure ulcer based on Benoit conceptual framework[J/OL]. Chinese Journal of Injury Repair and Wound Healing(Electronic Edition), 2021, 16(06): 539-541.

以压力性损伤发生机制的Benoit理论框架为依据,结合人体成分分析的原理、技术、应用现状等,探讨人体成分分析法在预测手术获得性压力性损伤(IAPI)发生风险中的应用前景,为高危人群的筛查提供客观、可靠的测量工具及评价指标,为IAPI的风险评估提供新的技术。

On the basis of the Benoit conceptual framework of the mechanism of stress injury, combined with the principle of human body component analysis, technology, application status, etc., the body component method is discussed in predicting the risk of intraoperatively acquired pressure injury (IAPI), to provide objective and reliable measurement tools and evaluation indicators for the screening of high-risk population, and to provide new techniques for risk assessment of IAPI.

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