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经导管房间隔穿刺术模拟训练优于传统训练方法。

Superiority of simulator-based training compared with conventional training methodologies in the performance of transseptal catheterization.

机构信息

Department of Heart, Brain and Vessels, Ospedale di Circolo e Fondazione Macchi, University of Insubria, Varese, Italy.

出版信息

J Am Coll Cardiol. 2011 Jul 19;58(4):359-63. doi: 10.1016/j.jacc.2011.02.063.

DOI:10.1016/j.jacc.2011.02.063
PMID:21757112
Abstract

OBJECTIVES

This study aims to compare the performance of electrophysiology fellows in transseptal catheterization (TSP-C) after conventional (Conv-T) or simulator training (Sim-T).

BACKGROUND

Current training for TSP-C, an increasingly used procedure, relies on performance on patients with supervision by an experienced operator. Virtual reality, a new training option, could improve post-training performance.

METHODS

Fellows inexperienced in TSP-C were enrolled and randomly assigned to Conv-T or Sim-T. The post-training performance of each fellow was evaluated and scored in 3 consecutive patient-based procedures by an experienced operator blinded to the fellow's training assignment.

RESULTS

Fourteen fellows were randomized to Conv-T (n = 7) or to Sim-T (n = 7) and, after training, performed 42 TSP-Cs independently. Training time was significantly longer for Conv-T than for Sim-T (median 30 days vs. 4 days; p = 0.0175). The Conv-T fellows had significantly lower post-training performance scores (median 68 vs. 95; p = 0.0001) and a higher number of recurrent errors (median 3 vs. 0; p = 0.0006) when compared with Sim-T fellows.

CONCLUSIONS

The TSP-C training with virtual reality results in shorter training times and superior post-training performance.

摘要

目的

本研究旨在比较传统培训(Conv-T)或模拟器培训(Sim-T)后电生理学研究员在行经房间隔穿刺术(TSP-C)方面的表现。

背景

目前,TSP-C 作为一种越来越常用的手术,其培训依赖于在有经验操作者监督下对患者的操作。虚拟现实,一种新的培训选择,可能会提高培训后的表现。

方法

招募对 TSP-C 经验不足的研究员,并随机分配至 Conv-T 或 Sim-T 组。由一位经验丰富的操作者对每位研究员进行 3 次连续的基于患者的手术,对其术后表现进行评估和评分,该操作者对研究员的培训分配情况并不知情。

结果

共有 14 名研究员被随机分配至 Conv-T(n = 7)或 Sim-T(n = 7)组,培训后,他们独立完成了 42 例 TSP-C。Conv-T 的培训时间明显长于 Sim-T(中位数 30 天比 4 天;p = 0.0175)。与 Sim-T 研究员相比,Conv-T 研究员的术后表现评分明显较低(中位数 68 比 95;p = 0.0001),且反复出现错误的次数更多(中位数 3 比 0;p = 0.0006)。

结论

虚拟现实辅助 TSP-C 培训可缩短培训时间并提高培训后的表现。

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