Literature DB >> 27499220

Pathophysiology of acute coronary syndromes in the elderly.

Lina Badimon1, Raffaele Bugiardini2, Judit Cubedo3.   

Abstract

Elderly patients represent an important proportion of the acute coronary syndrome (ACS) population. Furthermore, this group of ACS patients is continuously growing because of the progressive ageing of the population. The ageing process implies marked changes in patient physiology that directly impact in their risk. However, there is a differential distribution in the risk of elderly patients, revealing the existence of a discrepancy between the chronological and the "biological age". This discrepancy has highlighted the need of performing individual risk assessment in order to identify those patients at higher risk. In addition, the lack of representation of elderly patients in clinical trials leads to the underutilization of evidence-based therapies in this group of patients. All these factors influence not only the high prevalence of ACS presentation in the elderly but also their worse prognosis after suffering an ischaemic event. Herein we will explore the pathophysiological mechanisms behind the age-related changes at the vascular and the cardiac level that explain the high risk of elderly subjects of suffering ACS and their worse prognosis.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Acute coronary syndrome; Ageing; Cardiovascular disease; Elderly

Mesh:

Year:  2016        PMID: 27499220     DOI: 10.1016/j.ijcard.2016.07.205

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  7 in total

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Review 3.  Non-ST elevation acute coronary syndrome in women and the elderly: recent updates and stones still left unturned.

Authors:  Tina Varghese; Nanette K Wenger
Journal:  F1000Res       Date:  2018-11-29

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Authors:  Shihua Shi; Zhenxing Wang; Siming Li; Xiaoping Wu; Peili Wang; Fei Wang
Journal:  Evid Based Complement Alternat Med       Date:  2021-04-17       Impact factor: 2.629

5.  Comparison between Machine Learning and Multiple Linear Regression to Identify Abnormal Thallium Myocardial Perfusion Scan in Chinese Type 2 Diabetes.

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Journal:  Diagnostics (Basel)       Date:  2022-07-03

6.  Association of CHA2DS2-VASC Score with in-Hospital Cardiovascular Adverse Events in Patients with Acute ST-Segment Elevation Myocardial Infarction.

Authors:  Caoyang Fang; Zhenfei Chen; Jing Zhang; Xiaoqin Jin; Mengsi Yang
Journal:  Int J Clin Pract       Date:  2022-09-23       Impact factor: 3.149

7.  MTHFR C677T gene polymorphism and the severity of coronary lesions in acute coronary syndrome.

Authors:  Miao-Nan Li; Hong-Ju Wang; Ning-Ru Zhang; Ling Xuan; Xiao-Jun Shi; Tong Zhou; Bin Chen; Jun Zhang; Hui Li
Journal:  Medicine (Baltimore)       Date:  2017-12       Impact factor: 1.817

  7 in total

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