从实践到完美 - - 在良性机器人辅助腹腔镜子宫切除术中的并发症和手术时间学习曲线
Klara Krantz Andersson1, Anna Oksanen2, Henrik Falconer3
1Division of Obstetrics and Gynecology, Stockholm South General Hospital, Södersjukhuset, 118 83, Stockholm, Sweden.
Journal of robotic surgery
|June 4, 2025
概括
外科医生在50例手术时间和150例并发症后,才达到机器人辅助腹腔镜子宫切除术的熟练程度. 这种学习曲线分析为训练提供了信息,并改善了妇科手术患者的治疗结果.
科学领域:
- 最少侵入性的手术
- 外科教育的外科教育
- 妇科瘤学 妇科瘤学
背景情况:
- 机器人辅助手术越来越多地被采用为子宫切除术.
- 了解学习曲线对于外科医生的能力和患者安全至关重要.
- 需要标准化指标来定义机器人程序的能力.
研究的目的:
- 为了估计良性机器人辅助腹腔镜子宫切除术的学习曲线.
- 确定稳定关键手术结果所需的病例数量.
- 分析外科医生经验对并发症,血液损失和手术时间的影响.
主要方法:
- 对1281名接受机器人辅助腹腔镜子宫切除术 (2013-2021) 的患者进行了回顾性单中心队列研究.
- 六名外科医生进行了手术.
- 通用估计方程 (GEE) 回归分析了病例数和结果之间的关系.
主要成果:
- 观察到并发症的显著减少,达到约150个病例的平原 (aOR 0.996,P=0.03).
- 手术时间显著减少,在大约50例病例后稳定 (aCoeff -0.62分钟,P<0.001).
- 在整个学习曲线 (P=0.23) 中,没有注意到手术期间流血的显著差异.
结论:
- 在50个案例中,操作时间的学习曲线高原被达到.
- 一个学习曲线高原内和术后并发症达到150个案例.
- 这些发现为外科医生的培训和机器人辅助子宫切除方面的能力评估提供了基准.
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