Li Xiangmin, Yin Xinbo, Huang Guoqing, Wang Xiaokai
Emergency Department, Xiangya Hospital, Central South University, Changsha, Hunan, China.
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
BMC Emerg Med. 2025 Jun 7;25(1):94. doi: 10.1186/s12873-025-01256-2.
High-quality cardiopulmonary resuscitation (CPR) is critical to cardiac arrest patients. Extended Reality (XR) technologies, including Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR), provide immersive and interactive training, potentially enhancing CPR outcomes. This network meta-analysis compared the effectiveness of XR-based CPR training to traditional face-to-face methods.
A Bayesian network meta-analysis was conducted following PRISMA guidelines. We systematically searched PubMed, Cochrane Library, Web of Science, EMBASE, and CNKI for randomized controlled trials (RCTs) comparing XR-based and traditional CPR training. Primary outcomes included chest compression depth and rate; secondary outcomes assessed full chest wall recoil. The CINeMA tool (GRADE framework) was used to assess evidence quality. Statistical analyses were performed using Stata 15 SE and ADDIS software with random-effects models.
11 RCTs (1,190 participants) were included. MR showed the improvement in chest compression depth (SMD = 10.96; 95% CI, 0.95 to 20.82) compared to VR and traditional methods. For full chest wall recoil, AR outperformed VR (SMD = 48.57; 95% CI, 19.56 to 79.75) and traditional methods (SMD = 52.95; 95% CI, 25.94 to 80.48). However, no significant differences were observed for chest compression rate. SUCRA rankings placed MR as most effective for compression depth (87.4%) and AR for full chest wall recoil (99.1%). Evidence quality was moderate to high, with minor downgrades for imprecision. No publication bias was detected.
XR technologies, particularly MR and AR, significantly improve chest compression depth and full chest wall recoil in comparing with face to face CRP training, offering a flexible and engaging approach to CPR training. Further studies are needed to evaluate long-term skill retention and real-world impact.
Not applicable.
高质量的心肺复苏（CPR）对心脏骤停患者至关重要。扩展现实（XR）技术，包括增强现实（AR）、虚拟现实（VR）和混合现实（MR），提供沉浸式和交互式培训，可能会提高心肺复苏的效果。这项网络荟萃分析比较了基于XR的心肺复苏培训与传统面对面培训方法的有效性。
按照PRISMA指南进行贝叶斯网络荟萃分析。我们系统地检索了PubMed、Cochrane图书馆、科学网、EMBASE和中国知网，以查找比较基于XR的心肺复苏培训与传统心肺复苏培训的随机对照试验（RCT）。主要结果包括胸外按压深度和速率；次要结果评估全胸壁回弹情况。使用CINeMA工具（GRADE框架）评估证据质量。使用Stata 15 SE和ADDIS软件，采用随机效应模型进行统计分析。
纳入了11项随机对照试验（1190名参与者）。与VR和传统方法相比，MR显示胸外按压深度有所改善（标准化均数差[SMD]=10.96；95%置信区间，0.95至20.82）。对于全胸壁回弹，AR优于VR（SMD=48.57；95%置信区间，19.56至79.75）和传统方法（SMD=52.95；95%置信区间，25.94至80.48）。然而，胸外按压速率未观察到显著差异。累积排序曲线下面积（SUCRA）排名显示，MR对按压深度最有效（87.4%），AR对全胸壁回弹最有效（99.1%）。证据质量为中度至高，因不精确性有轻微降级。未检测到发表偏倚。
与面对面的心肺复苏培训相比，XR技术，尤其是MR和AR，显著改善了胸外按压深度和全胸壁回弹情况，为心肺复苏培训提供了一种灵活且引人入胜的方法。需要进一步研究来评估长期技能保持情况和对现实世界的影响。
不适用。
