Dyslipidemia in Patients with Coronary Heart Disease and Cardiovascular Disease Risk Stratified Filtering
- DOI
- 10.2991/caai-17.2017.108How to use a DOI?
- Keywords
- coronary heart disease; cardiovascular disease (CVD); dyslipidemia; microns; screening
- Abstract
Dyslipidemia AS one of the most important risk factors, with a variety of CAD and other AS sex of CVD occurrence is closely related to the oxidation of lipoprotein also plays a key role in the patients. A large number of research confirmed that high. X - LDL and ox - Lp (a) level is AS strong risk factors, can be used AS a CAD diagnosis especially effective index of the differential diagnosis of ACS. Micronics AS a kind of about 19 to 24 nuclear acid's long no coding single small RNA molecules that control gene expression in the translation level for. Macrons with high tissue specificity, but due to the organization based the inconvenience, are limited in clinical application, by contrast, serum or plasma microns' high stability, specificity, and conveniently, is expected to become a new diagnosis of the related diseases.. In recent years, the study found the miRNA and cardiovascular system development, differentiation and AS CVD is closely related to the occurrence and development of all, it may be involved in regulation of the variety of the AS related path physiological process; serum or blood macrons are expected to be CAD of effective molecular markers, and. X - LDL, ox - Lp (a) the common application in clinical diagnosis, condition monitoring and prognosis judgments of CAD, and achieve early identification and diagnosis of ACS.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chunhua Ma PY - 2017/06 DA - 2017/06 TI - Dyslipidemia in Patients with Coronary Heart Disease and Cardiovascular Disease Risk Stratified Filtering BT - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017) PB - Atlantis Press SP - 480 EP - 482 SN - 1951-6851 UR - https://doi.org/10.2991/caai-17.2017.108 DO - 10.2991/caai-17.2017.108 ID - Ma2017/06 ER -