基于能量结构紊乱严重程度的缺血性脑卒中强化治疗人格化

K. Serikov, L. M. Smyrnova
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引用次数: 0

摘要

这项工作的目的是为缺血性脑卒中(ICS)的严重程度制定标准,并在疾病的急性期和急性期使用个性化强化治疗(IT)技术。临床研究纳入108例IMI患者(平均年龄73岁,47±0.48岁)。根据能量结构障碍的严重程度和个性化的IT方法,将所有患者分为4组。第一组由具有益生能量结构状态(ESST)的患者组成,他们接受了带有稳态技术的个性化信息技术。以下三组为低能性ESST障碍患者:低能功能障碍患者采用能量保护,低能性损伤患者采用能量复苏,低能性功能不全患者采用个性化IT能量矫正技术。结论:1。进行的临床研究使开发个性化it的其他技术成为可能,这些技术的使用取决于ICS患者的能量结构障碍的严重程度。在益生菌和低能性ESST患者中使用个性化IT技术可以降低死亡率、并发症数量和ICS患者在强化治疗单位花费的时间。传统的标准IT不能阻止ICS患者发展为晚期多器官衰竭综合征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PERSONIFICATION OF INTENSIVE THERAPY FOR ISCHEMIC CEREBRAL STROKE DEPENDING ON THE SEVERITY OF ENERGY STRUCTURAL DISORDERS
The aim of the work was to develop criteria for the severity of ischemic cerebral stroke (ICS) and the use of personalized intensive therapy (IT) technologies in the acute and acute periods of the disease. The clinical study included 108 patients with IMI (mean age 73,47±0,48 years). Based on the severity of energy structural disorders and personalized IT methods, all patients were divided into 4 groups. The first group consisted of patients with eubiotic energy structural status (ESST), who received personalized IT with homeostasis technologies. The following three groups consisted of patients with hypoergic ESST disorders: hypoergic dysfunction, in which energy protection was used, hypoergic damage, in which energy resuscitation was used, and hypoergic insufficiency, in which energy-correction technologies of personalized IT were used. Conclusions. 1. The conducted clinical study made it possible to develop additional technologies of personalized IT, which were used depending on the severity of energy-structural disorders in patients with ICS. The use of personalized IT technologies in patients with eubiotic and hypoergic ESST made it possible to reduce mortality, the number of complications and the time spent in intensive therapy units for patients with ICS. Traditional standard IT does not allow to prevent the development of the late form of multiple organ failure syndrome in patients with ICS.
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CiteScore
0.10
自引率
0.00%
发文量
34
审稿时长
12 weeks
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