Suppr超能文献

Syntax评分II与颈动脉内膜中层厚度及心外膜脂肪组织的关联。

The association of the Syntax score II with carotid intima media thickness and epicardial fat tissue.

作者信息

Aksu Uğur, Gulcu Oktay, Bilgi Zeynep, Topcu Selim, Sevimli Serdar, Bayram Ednan, Tanboğa Ibrahim Halil

机构信息

Kars State Hospital, Department of Cardiology, Kars, Turkey.

Ataturk University Medical School, Department of Cardiology, Erzurum, Turkey.

出版信息

Indian Heart J. 2017 Nov-Dec;69(6):752-756. doi: 10.1016/j.ihj.2017.04.008. Epub 2017 Apr 18.

Abstract

AIM

Syntax score II (SSII) is a highly predictive scoring system, which is used to improve individualized assessment of patients with complex coronary artery disease and facilitates clinical decision making. Surrogate markers [carotid intima-media thickness (CIMT), epicardial fat tissue (EFT)] are also used for risk assessment, but their relation with SSII is not well established.

METHOD

We enrolled 543 consecutive patients, who underwent coronary angiography for stable angina pectoris and acute coronary syndrome, in the study. SSII was calculated for each patient and the patients were divided into two groups as low SSII group and high SSII group according to their median SSII.

RESULTS

The average age of the patients was 61.4 years and 75% of the patients were male. The multivariate analysis indicated that only EFT (p: 0,035), CIMT (p:0,04) and Hypertension (HT) (p: 0,014) were independently associated with high SSII.

DISCUSSION

EFT and CIMT, the surrogate markers which can be simply and non-invasively determined, are of the independent predictors of high SSII. The inclusion of these parameters in the risk classification may provide additional clinical benefit.

摘要

目的

Syntax评分II(SSII)是一种具有高度预测性的评分系统,用于改善对复杂冠状动脉疾病患者的个体化评估,并促进临床决策。替代标志物[颈动脉内膜中层厚度(CIMT)、心外膜脂肪组织(EFT)]也用于风险评估,但其与SSII的关系尚未明确确立。

方法

我们纳入了543例因稳定型心绞痛和急性冠状动脉综合征接受冠状动脉造影的连续患者进行研究。计算每位患者的SSII,并根据患者的SSII中位数将其分为低SSII组和高SSII组。

结果

患者的平均年龄为61.4岁,75%的患者为男性。多变量分析表明,只有EFT(p:0.035)、CIMT(p:0.04)和高血压(HT)(p:0.014)与高SSII独立相关。

讨论

EFT和CIMT这两种可简单、无创测定的替代标志物是高SSII的独立预测因素。将这些参数纳入风险分类可能会带来额外的临床益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a38/5717280/9d313459ae30/gr1.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