Risk Factors and Prediction Model for Pressure Injuries in Patients Undergoing Da vinci Surgery

IF 2.3 3区医学 Q2 SURGERY

International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2024-12-03 DOI:10.1002/rcs.70016

Yang Shen, Peipei Huang, Qin Zhu, Shoujun Niu, Jia Hu, Wen Qin, Xiaoyun Dai, Jun Luo

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引用次数: 0

Abstract

Background

Most patients present at high risk of perioperative pressure injury. Patients may experience severe agony from pressure injuries, which can also result in potentially fatal infections and increase hospital stays and medical expenses. This is a critical issue that requires immediate attention and resolution.

Methods

From December 2019 to August 2023, 335 patients receiving Da vinci surgery in a grade A tertiary hospital were chosen to serve as the participants, and univariate analysis and patients undergoing Da vinci surgery had their risk factors for pressure injuries screened using logistic regression analysis, and in patients having Da vinci surgery, a pressure injury risk prediction model was developed.

Results

Among 335 patients, 195 patients acquired pressure injuries, and the results of logistic regression analysis showed that age, length of surgery, BMI, and nasogastric tube (NGT) were independent risk factors for pressure injuries (p < 0.05).

Conclusions

With great risk prediction ability, the risk prediction model for pressure injuries in patients undergoing Da vinci surgery established in this study can be used as an effective assessment tool.

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达芬奇手术患者压力损伤的危险因素及预测模型

背景：大多数患者围手术期存在较高的压力性损伤风险。患者可能会因压力损伤而感到严重痛苦，这也可能导致潜在的致命感染，并增加住院时间和医疗费用。这是一个需要立即注意和解决的关键问题。方法选取2019年12月至2023年8月某三甲医院收治的335例达芬奇手术患者作为研究对象，采用单因素分析和logistic回归分析方法筛选达芬奇手术患者发生压力性损伤的危险因素，并对接受达芬奇手术的患者建立压力性损伤风险预测模型。结果335例患者中，有195例发生了压伤，logistic回归分析结果显示，年龄、手术长度、BMI和鼻胃管（NGT）是压伤的独立危险因素(p <；0.05)。结论本研究建立的达芬奇手术患者压伤风险预测模型具有较强的风险预测能力，可作为一种有效的评估工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

CiteScore

4.50

自引率

12.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.