Year 2024 in review - General anaesthesia

被引:0
|
作者
Blaha, J. [1 ,2 ]
Nguyenova, Q. G. [1 ,2 ]
Bartosova, T. [1 ,2 ]
机构
[1] Univerz Karlovy, Klin Anesteziol Resuscitace Intenzivni med, lekarska Fak 1, Prague, Czech Republic
[2] Vseobecna fak Nemocnice Praze, Prague, Czech Republic
来源
ANESTEZIOLOGIE A INTENZIVNI MEDICINA | 2024年 / 35卷 / 05期
关键词
general anesthesia; non-opioid anesthesia; depth of anesthesia; monitoring; remimazolam; PONV; artificial inte- lligence; machine learning; predictive systems; year; 2024; OPIOID-FREE ANESTHESIA; REMIMAZOLAM; RECOVERY; QUALITY; SURGERY;
D O I
10.36290/aim.2024.059
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
Searching for the term "general anesthesia", PubMed lists 1530 clinical trials, reviews, systematic reviews, or meta-analyses in the last year. It is impossible to select "all the most important", so this text has focused on only 4 areas that the authors consider as key. The first is opioid-free anesthesia (OFA) and its growing role in today's anesthesiology. OFA involves anesthetic techniques that, although they can reduce the incidence of PONV, postoperative opioid consumption, and speed recovery, require closer monitoring of hemodynamics and analgesic dosing because of the risk of bradycardia and prolonged postoperative stay. The second topic is remimazolam, a new ultra-short-acting benzodiazepine, as an alternative to traditional anaesthetics, particularly for stabilizing haemodynamic parameters. Next, this annual review focuses on advanced methods of monitoring the depth of anaesthesia, such as the use of the electroencephalogram, and its contribution to perioperative care. Finally, our review over the past year looks at the potential use of artificial intelligence (AI) in anaesthesiology. AI is proving to be a promising tool for improving the prediction of complications, optimizing anesthetic doses, and ensuring greater patient safety.
引用
收藏
页码:305 / 310
页数:6
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