Suppr超能文献

载 S-亚硝基-N-乙酰青霉胺的气管内导管预防呼吸机相关性肺炎。

S-Nitroso-N-acetylpenicillamine impregnated endotracheal tubes for prevention of ventilator-associated pneumonia.

机构信息

School of Chemical, Materials, and Biomedical Engineering, University of Georgia, Athens, Georgia.

出版信息

Biotechnol Bioeng. 2020 Jul;117(7):2237-2246. doi: 10.1002/bit.27341. Epub 2020 Apr 8.

Abstract

The chances of ventilator-associated pneumonia (VAP) increases 6-20 folds when an endotracheal tube (ETT) is placed in a patient. VAP is one of the most common hospital-acquired infections and comprises 86% of the nosocomial pneumonia cases. This study introduces the idea of nitric oxide-releasing ETTs (NORel-ETTs) fabricated by the incorporation of the nitric oxide (NO) donor S-nitroso-N-acetylpenicillamine (SNAP) into commercially available ETTs via solvent swelling. The impregnation of SNAP provides NO release over a 7-day period without altering the mechanical properties of the ETT. The NORel-ETTs successfully reduced the bacterial infection from a commonly found pathogen in VAP, Pseudomonas aeruginosa, by 92.72 ± 0.97% when compared with the control ETTs. Overall, this study presents the incorporation of the active release of a bactericidal agent in ETTs as an efficient strategy to prevent the risk of VAP.

摘要

当气管内导管(ETT)放置在患者体内时,呼吸机相关性肺炎(VAP)的发生几率会增加 6-20 倍。VAP 是最常见的医院获得性感染之一,占医院获得性肺炎病例的 86%。本研究提出了通过将一氧化氮(NO)供体 S-亚硝基-N-乙酰青霉胺(SNAP)通过溶剂溶胀掺入市售 ETT 中,制造释放一氧化氮的 ETT(NORel-ETTs)的想法。SNAP 的浸渍可在 7 天内释放 NO,而不会改变 ETT 的机械性能。与对照 ETT 相比,NORel-ETTs 成功将 VAP 中常见病原体铜绿假单胞菌的细菌感染降低了 92.72 ± 0.97%。总体而言,本研究提出了在 ETT 中掺入主动释放杀菌剂的方法,作为预防 VAP 风险的有效策略。

相似文献

引用本文的文献

4
Development of a solid-supported light-triggered nitric oxide donor.一种固体支持的光触发一氧化氮供体的开发。
J Photochem Photobiol A Chem. 2024 May 1;450. doi: 10.1016/j.jphotochem.2024.115466. Epub 2024 Jan 17.
10
Antimicrobial Coating: Tracheal Tube Application.抗菌涂层:气管导管应用。
Int J Nanomedicine. 2022 Mar 29;17:1483-1494. doi: 10.2147/IJN.S353071. eCollection 2022.

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验