Li Ning, Cui Dalei, Shan Li, Li Haixia, Feng Xuelian, Zeng Huilan, Li Lezhi
Department of Anesthesia and Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Teaching and Research Section of Clinical Nursing, Xiangya Hospital of Central South University, Changsha, China.
Front Physiol. 2023 Jul 21;14:1170564. doi: 10.3389/fphys.2023.1170564. eCollection 2023.
Orthopedic patients are at high risk for intraoperatively acquired pressure injuries (IAPI), which cause a serious issue and lead to high-expense burden in patient care. However, there are currently no clinically available scales or models to assess IAPI associated with orthopedic surgery. In this real-world, prospective observational, cross-sectional study, we identified pressure injuries (PI)-related risk factors using a systematic review approach and clinical practice experience. We then prepared a real-world cohort to identify and confirm risk factors using multiple modalities. We successfully identified new risk factors while constructing a predictive model for PI in orthopedic surgery. We included 28 orthopedic intraoperative PI risk factors from previous studies and clinical practice. A total of 422 real-world cases were also included, and three independent risk factors-preoperative limb activity, intraoperative wetting of the compressed tissue, and duration of surgery-were successfully identified using chi-squared tests and logistic regression. Finally, the three independent risk factors were successfully used to construct a nomogram clinical prediction model with good predictive validity (area under the ROC curve = 0.77), which is expected to benefit clinical patients. In conclusion, we successfully identified new independent risk factors for IAPI-related injury in orthopedic patients and developed a clinical prediction model to serve as an important complement to existing scales and provide additional benefits to patients. Our study also suggests that a single measure is not sufficient for the prevention of IAPI in orthopedic surgery patients and that a combination of measures may be required for the effective prevention of IAPI.
骨科患者发生术中获得性压力性损伤(IAPI)的风险很高,这会引发严重问题,并给患者护理带来高昂负担。然而,目前尚无临床上可用的量表或模型来评估与骨科手术相关的IAPI。在这项真实世界、前瞻性观察性横断面研究中,我们采用系统评价方法和临床实践经验确定了压力性损伤(PI)相关的风险因素。然后,我们准备了一个真实世界队列,使用多种方式来识别和确认风险因素。我们在构建骨科手术中PI的预测模型时成功识别出了新的风险因素。我们纳入了先前研究和临床实践中的28个骨科术中PI风险因素。总共还纳入了422例真实世界病例,并通过卡方检验和逻辑回归成功识别出三个独立风险因素——术前肢体活动、受压组织术中浸湿和手术时长。最后,这三个独立风险因素成功用于构建一个具有良好预测效度的列线图临床预测模型(ROC曲线下面积 = 0.77),有望使临床患者受益。总之!我们成功识别出了骨科患者IAPI相关损伤的新独立风险因素,并开发了一个临床预测模型,作为现有量表的重要补充,为患者提供更多益处。我们的研究还表明,单一措施不足以预防骨科手术患者的IAPI,可能需要采取综合措施才能有效预防IAPI。