Suppr超能文献

使用近红外光谱法进行脑监测以预测心脏骤停后的预后:心脏骤停大鼠模型中的一种新表型。

Brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest.

作者信息

Takegawa Ryosuke, Hayashida Kei, Choudhary Rishabh, Rolston Daniel M, Becker Lance B

机构信息

Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health System, Manhasset, NY, USA.

Department of Emergency Medicine, North Shore University Hospital, Northwell Health System, Manhasset, NY, USA.

出版信息

J Intensive Care. 2021 Jan 7;9(1):4. doi: 10.1186/s40560-020-00521-9.

Abstract

Improving neurological outcomes after cardiac arrest (CA) is the most important patient-oriented outcome for CA research. Near-infrared spectroscopy (NIRS) enables a non-invasive, real-time measurement of regional cerebral oxygen saturation. Here, we demonstrate a novel, non-invasive measurement using NIRS, termed modified cerebral oximetry index (mCOx), to distinguish the severity of brain injury after CA. We aimed to test the feasibility of this method to predict neurological outcome after asphyxial CA in rats. Our results suggest that mCOx is feasible shortly after resuscitation and can provide a surrogate measure for the severity of brain injury in a rat asphyxia CA model.

摘要

改善心脏骤停(CA)后的神经学转归是CA研究中最重要的以患者为导向的转归。近红外光谱(NIRS)能够对局部脑氧饱和度进行无创、实时测量。在此,我们展示了一种使用NIRS的新型无创测量方法,称为改良脑氧饱和度指数(mCOx),以区分CA后脑损伤的严重程度。我们旨在测试该方法预测大鼠窒息性CA后神经学转归的可行性。我们的结果表明,mCOx在复苏后不久是可行 的,并且可以作为大鼠窒息性CA模型中脑损伤严重程度的替代指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe71/7789176/b09c7cb68ac2/40560_2020_521_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验