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Learning curve of ultrasound measurement of subglottic diameter for endotracheal tube selection in pediatric patients

机译:儿科患者中子肿选择子插管选择超声测量的学习曲线

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Abstract Background Endotracheal tube size can be predicted according to ultrasound measurement of subglottic airway diameter. The learning curve for this method is not yet established. The aim was to evaluate the learning curve of anesthesiology residents in ultrasound measurement of subglottic airway diameter for prediction of endotracheal tube size using cumulative sum analysis. Methods Sixteen anesthesiology residents measured transverse subglottic airway diameter in children undergoing general anesthesia with cuffed endotracheal intubation. Each resident performed 30 ultrasound examinations. Primary outcome was the successful prediction of endotracheal tube size according to ultrasound measurement. Cumulative sum?analysis was performed with acceptable and unacceptable failure rates set as 20 and 40%, respectively. Results Ten out of 16 residents (62.5%) were deemed successful as they were able to pass lower decision boundary, whereas six residents' CUSUM scores were between the decisions lines deeming them indeterminate. The overall success rate for determining the correct endotracheal tube size was 77.5%. Median number of attempts to cross lower decision boundary was 29 with minimum of 18 and maximum of 29 attempts among successful residents. Conclusion Learning curves constructed with cumulative sum?analysis in this study showed that only 62.5% of residents were able to correctly predict cuffed endotracheal tube size with 80% success rate. Considerable variability in achieving competency necessitates objective follow‐up of individual improvement.
机译:摘要可以根据外部气通道直径的超声测量来预测背景气管插管尺寸。该方法的学习曲线尚未建立。目的是评估累积气管直径超声测量的麻醉学居民的学习曲线,用于使用累积和分析预测气管内管尺寸的预测。方法64种麻醉学居民测量横向剖视通风直径,伴有袖带气管插管患有全身麻醉的儿童。每个居民执行30个超声检查。主要结果是根据超声测量成功预测气管插管尺寸。累积和分析分析分别设定为20%和40%的可接受和不可接受的故障率。结果16名居民(62.5%)中有十个被认为是成功的,因为他们能够通过较低的决策边界,而六名居民的小心数分在认为它们不确定的决定之间。用于确定正确的气管插管尺寸的总成功率为77.5%。中位数跨出决策边界的尝试次数为29,最少18次,最多29次尝试在成功的居民之间。结论采用累积量构建的学习曲线?本研究中的分析表明,只有62.5%的居民能够正确预测80%的成功率。实现能力的相当大变化需要客观的个人改善的跟进。

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