Yang Shen, Peipei Huang, Qin Zhu, Shoujun Niu, Jia Hu, Wen Qin, Xiaoyun Dai, Jun Luo
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Risk Factors and Prediction Model for Pressure Injuries in Patients Undergoing Da vinci Surgery
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.
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.
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