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[困难气道管理(DAM)算法——叙述性概述与现场评估]

[Difficult Airway Management (DAM) Algorithms - A narrative synopsis and site assessment].

作者信息

Torossian Alexander

出版信息

Anasthesiol Intensivmed Notfallmed Schmerzther. 2023 Feb;58(2):72-81. doi: 10.1055/a-1754-5426. Epub 2023 Feb 15.

DOI:10.1055/a-1754-5426
PMID:36791772
Abstract

Centuries ago an "algorithm" was originally inaugurated to depicture a pathway to solve mathematical problems using a decision tree. Nowadays this tool is also well established in clinical medicine. Ever since management errors in difficult airway handling and subsequent litigations remain high referring to ASA closed claims database. However, even since 2010, the ESA postulates every institution dealing with airway management should have a DAM algorithm (ESA Declaration of Helsinki on Patient Safety in Anaesthesiology). In 2018 a systematic review of 38 international DAM algorithms was published; most of them show a four-step flow chart: failed tracheal intubation, insufficient bag-mask ventilation and supraglottic airway, leads to establish an emergency sugical airway. In conclusion authors state that a universal, globally valid, DAM algorithm is lacking. German language guideline development is governed by the AWMF, which labels guidelines with the highest evidence levels and methodological strength "S3". The ASA published a revised DAM practice guideline in 2022, which was developed by 13 international members and was endorsed by international anesthesiological societies. - Though it is based on a systematic literature search and evaluation, final recommendations (without grading) were generated by a survey among experts in the field: Pre-procedural evaluation of the airway is essential; meanwhile more data are available especially regarding ultrasound examination of the upper airway and in 2022 a promising nomogram was developed for the prediction of difficult laryngoscopy. Pre-procedural planning of expected DAM: it should be decided beforehand, if awake intubation is feasible for the patient. Preoxygenation of every elective patient (3 mins with PEEP 5 cmHO, aim: 95% pulse oxymetry) and continuous nasal high-flow oxygen delivery during airway management. In case of unexpectedly difficult/emergency airway, ASA recommends: call for help, use cognitive aid (algorithm), consider restoration of spontaneous breathing, adjust bag-mask ventilation, monitor time passing; if "cannot intubate, cannot oxygenate" situation occurs (etCO < 10 mmHg, < 80% pulse oxymetry) establish surgical airway; if failed consider ECMO therapy, if feasible and available. ASA restricts intubation attempts to 3+ based on experience and decision of the clinician, however evidence shows, that attempts should not exceed 2 attempts to avoid serious complications, e.g. hyoxemia and even cardiopulmonary resuscitation (CPR). Additionally, we recommend a cockpit strategy for airway management using crisis resource elements as used in aviation (situation awareness, sterile communication, read-back/hear-back and canned decisions) and a supervisor/team leader as already established in CPR. Last, but not least, continuous airway management training increases algorithm adherence.

摘要

几个世纪前,“算法”最初被开创用来描绘一条使用决策树解决数学问题的途径。如今,这个工具在临床医学中也已确立。根据美国麻醉医师协会(ASA)的封闭索赔数据库,困难气道处理中的管理失误及随后的诉讼一直居高不下。然而,自2010年以来,欧洲麻醉学会(ESA)假定每个处理气道管理的机构都应拥有一个困难气道管理(DAM)算法(ESA关于麻醉学患者安全的赫尔辛基宣言)。2018年发表了一项对38种国际DAM算法的系统评价;其中大多数显示为一个四步流程图:气管插管失败、面罩通气不足和声门上气道问题,导致建立紧急手术气道。总之,作者指出缺乏一种通用的、全球有效的DAM算法。德语指南的制定由德国医学质量与效率委员会(AWMF)管理,该委员会将具有最高证据水平和方法学强度的指南标记为“S3”。ASA在2022年发布了一份修订后的DAM实践指南,该指南由13名国际成员制定,并得到国际麻醉学协会的认可。——尽管它基于系统的文献检索和评估,但最终建议(无分级)是通过对该领域专家的调查产生的:气道的术前评估至关重要;同时有更多数据可用,特别是关于上气道的超声检查,并且在2022年开发了一种有前景的列线图用于预测困难喉镜检查。预期DAM的术前规划:应事先决定清醒插管对患者是否可行。对每个择期患者进行预充氧(PEEP 5 cmH₂O下3分钟,目标:脉搏血氧饱和度95%),并在气道管理期间持续进行经鼻高流量氧输送。对于意外困难/紧急气道情况,ASA建议:呼救,使用认知辅助工具(算法),考虑恢复自主呼吸,调整面罩通气,监测时间流逝;如果出现“无法插管,无法给氧”情况(呼气末二氧化碳分压<10 mmHg,脉搏血氧饱和度<80%),建立手术气道;如果失败,考虑体外膜肺氧合(ECMO)治疗,若可行且可用。ASA根据临床医生的经验和决定将插管尝试限制在3次以上,然而证据表明,尝试次数不应超过2次以避免严重并发症,如低氧血症甚至心肺复苏(CPR)。此外,我们建议采用一种气道管理的驾驶舱策略,使用航空领域中使用的危机资源要素(态势感知、无菌通信、复述/回听和预设决策)以及CPR中已确立的主管/团队领导。最后但同样重要的是,持续的气道管理培训可提高对算法的依从性。

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