医学
蛛网膜炎
神经轴阻滞
神经毒性
围手术期
叙述性评论
麻醉
麻醉剂
局部麻醉剂
重症监护医学
外科
内科学
脊髓麻醉
毒性
作者
Connor T. A. Brenna,Shawn Khan,Catherine Poots,Richard Brull
出处
期刊:Regional Anesthesia and Pain Medicine
[BMJ]
日期:2023-11-30
卷期号:: rapm-104941
标识
DOI:10.1136/rapm-2023-104941
摘要
Background/importance Arachnoiditis is a rare but devastating disorder caused by various insults, one of which is purported to be local anesthetic neurotoxicity following neuraxial blockade. However, the relationship between local anesthetics administered into the neuraxis and the development of arachnoiditis has not been clearly elucidated. Objective We aimed to summarize the existing complex body of literature and characterize both the essential features and strength of any association between neuraxial local anesthetic neurotoxicity and arachnoiditis with a view toward mitigating risk, enhancing prevention, and refining informed consent discussions. Evidence review We reviewed all published reports of arachnoiditis attributed to local anesthetic neurotoxicity following perioperative neuraxial anesthesia. This narrative review was based on a systematic search methodology, which included articles published up until December 2022. Findings Thirty-eight articles were included, comprising 130 patients, over one-half of which were published prior to this century and inconsistent with modern practice. Neuraxial techniques included 78 epidurals, 48 spinals, and 5 combined spinal-epidurals, mostly for obstetrics. Reporting of essential procedural data was generally incomplete. Overall, at least 57% of patients experienced complicated needle/catheter insertion, including paresthesia, pain, or multiple attempts, irrespective of technique. The onset of neurological symptoms ranged from immediate to 8 years after neuraxial blockade, while the pathophysiology of arachnoiditis, if described, was heterogeneous. Conclusions The existing literature attributing arachnoiditis to local anesthetic neurotoxicity is largely outdated, incomplete, and/or confounded by other potential causes, and thus insufficient to characterize the features and strength of any association.
科研通智能强力驱动
Strongly Powered by AbleSci AI