作为学习曲线的预测工具的CUSUM分析在左捆分支区域节奏节奏中的学习曲线
Ionuț Tudorancea1,2, Mihai Ștefan Cristian Haba1,2, Mircea Cristian Placinta1
1Grigore T. Popa University of Medicine and Pharmacy, 700115 Iasi, Romania.
Journal of clinical medicine
|January 10, 2026
概括
左捆分支区域节奏 (LBBAP) 是传统节奏的生理替代方案. 累积总和 (CUSUM) 分析客观地确定了操作员在LBBAP中的熟练程度,为新从业者展示了学习曲线.
科学领域:
- 心脏病学 心脏病学
- 电子生理学 电子生理学
- 医疗器械技术 医疗器械技术
背景情况:
- 左捆分支区域节奏 (LBBAP) 为传统节奏方法提供了一个生理学上的替代方案.
- 对LBBAP新手运营商的学习曲线没有很好地定义.
- 本研究使用累积和 (CUSUM) 分析研究了LBBAP学习曲线.
研究的目的:
- 在单操作员设置中,描述左捆分支区域步调 (LBBAP) 的学习曲线.
- 评估累积和 (CUSUM) 分析在定义程序能力方面的有用性.
- 评估学习阶段对光镜时间,电性能和安全性的影响.
主要方法:
- 一个新手运营商对108个连续的LBBAP程序进行了回顾性分析.
- 光镜时间作为程序效率的主要指标.
- 基于预定义的时间目标,CUSUM图表用于识别技能获取的转折点.
主要成果:
- 在非CRT病例中,光镜时间显著减少 (n=95),熟练程度达到65例左右.
- 在非CRT门后不久,CRT植入例 (n=9) 显示出熟练程度.
- 在整个学习期间,电气参数和安全结果保持一致.
结论:
- CUSUM分析为LBBAP提供了一个客观的实时测量操作员学习的方法.
- 该 CUSUM 技术有效地识别了 LBBAP 程序中的熟练度过渡.
- 这种方法可以帮助培训,认证和能力监测,以便采用LBBAP.
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