相关实验视频
Updated: Feb 8, 2026

08:51
A New Murine Model of Endovascular Aortic Aneurysm Repair
Published on: July 7, 2013
14.8K
脑卒中风险和中期存活率以内血管大动脉修复的近距离程度
G Jonsson1, K Mani1, A Wanhainen1,2
1Division of Vascular Surgery, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
The British journal of surgery
|February 7, 2026
概括
在内血管大动脉修复 (EVAR) 期间,近距离着陆区域的中风风险显著增加. 术后中风大大降低了中期存活率,强调了需要仔细选择患者和降低风险的策略.
科学领域:
- 血管外科 血管外科
- 心血管研究研究心血管研究
- 医疗干预 医疗干预
背景情况:
- 内血管大动脉修复 (EVAR) 越来越多地用于近道大动脉,包括胸部和门部分.
- 有限的现实世界的数据存在于中风风险分层的EVAR近距离着陆区及其生存影响.
研究的目的:
- 在EVAR后分析中风风险,特别是检查近邻着陆区的影响.
- 评估外科手术前中风对EVAR后中期存活率的影响.
主要方法:
- 从瑞典血管注册局 (Swedvasc) (2018-2023) 收集的前性数据的回顾性分析.
- 包括来自国家患者登记,死亡原因登记和中风登记的数据进行综合分析.
- 根据近邻着陆区分类中风风险的分层,并评估其对生存的影响.
主要成果:
- 进行了4842次EVAR;1.6%的人经历了外科手术前的中风.
- 在0区 (22%),中风风险最高,赔率比为42 (P<0.001).
- 术后中风显著增加了30天死亡率 (24%对3.5%),并减少了4年生存率 (49%对73%).
结论:
- 靠近着陆区,特别是0区,在EVAR中与中风风险增加密切相关.
- 术后中风是EVAR后中期存活率降低的主要决定因素.
- 风险分层和中风减少策略对于近邻EVAR患者的选择和管理至关重要.
相关概念视频
Mismatch Repair
43.7K
Overview
43.7K
Overview of DNA Repair
33.8K
In order to be passed through generations, genomic DNA must be undamaged and error-free. However, every day, DNA in a cell undergoes several thousand to a million damaging events by natural causes and external factors. Ionizing radiation such as UV rays, free radicals produced during cellular respiration, and hydrolytic damage from metabolic reactions can alter the structure of DNA. Damages caused include single-base alteration, base dimerization, chain breaks, and cross-linkage.
Chemically...
Chemically...
33.8K
Base Excision Repair
26.4K
One of the common DNA damages is the chemical alteration of single bases by alkylation, oxidation, or deamination. The altered bases cause mispairing and strand breakage during replication. This type of damage causes minimal change to the DNA double helix structure and can be repaired by the base excision repair (BER) pathways. BER corrects damaged DNA sequences by removing the damaged base and restoring the original base sequence using the complementary strand as a template.
The first step of...
The first step of...
26.4K
Nucleotide Excision Repair
40.9K
Overview
40.9K
Survival Curves
722
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
722
Survival Tree
433
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
433

