有创机械通气患者撤机结局预测指标的研究进展
Research Progress on Predictive Indictors of Weaning Outcomes in Patients with Invasive Mechanical Ventilation
DOI: 10.12677/acm.2024.1441208, PDF,   
作者: 赵 辉, 陈雪梅*：重庆医科大学附属第一医院重症医学科，重庆
关键词: 呼吸机撤机；撤机结局；预测指标；Weaning from Mechanical Ventilation； Weaning Outcome； Predictive Indicators
摘要: 有创机械通气技术的发展使得危重患者救治率大大提升，但呼吸支持的最终目的是使患者撤离呼吸机并实现自主呼吸。因此，撤机前的准确评估尤为重要。目前已经报道的撤机前评估指标如浅快呼吸指数、最大吸气压力、呼吸功等，均存在一定的局限性，近年来一些新的预测指标逐渐被报道。本文就目前国内外预测危重患者撤机结局的最新指标进行综述，结果显示尚无公认的最优预测指标，联合多种指标的人工智能辅助决策有望为临床提供帮助，以提高危重患者撤机的成功率。
Abstract: The development of invasive mechanical ventilation technology has greatly improved the treatment rate of critically ill patients, but the ultimate goal of respiratory support is to enable critically ill patients to successfully evacuate the artificial airway and achieve autonomous breathing. Therefore, accurate evaluation before withdrawal is particularly important. At present, it is reported that some evaluation indicators such as rapid breathing index, maximum inspiratory pressure, respiratory work, etc., all of them have certain limitations. In recent years, some new predictive indictors were gradually reported. In this paper, we reviewed recent studies about indicators in predicting the outcome of weaning from mechanical ventilation in critically ill patients both home and abroad, found that there is no recognized optimal predictor. The AI-assisted decision making combined with multiple indicators is expected to provide help for accurate assessment before weaning from invasive mechanical ventilation, thus improving weaning outcome.
文章引用：赵辉, 陈雪梅. 有创机械通气患者撤机结局预测指标的研究进展[J]. 临床医学进展, 2024, 14(4): 1670-1674. https://doi.org/10.12677/acm.2024.1441208

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