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Personalized medicine and stroke prevention: where are we?

Citation

Kim, J and Thrift, AG and Nelson, MR and Bladin, CF and Cadilhac, DA, Personalized medicine and stroke prevention: where are we?, Vascular Health and Risk Management, 11 pp. 601-611. ISSN 1176-6344 (2015) [Refereed Article]


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Copyright Statement

2015 Kim et al. Licensed under Creative Commons Attribution Non Commercial unported v3.0 (CC BY NC)http://creativecommons.org/licenses/by-nc/3.0/.

DOI: doi:10.2147/VHRM.S77571

Abstract

There are many recommended pharmacological and non-pharmacological therapies for the prevention of stroke, and an ongoing challenge is to improve their uptake. Personalized medicine is seen as a possible solution to this challenge. Although the use of genetic information to guide health care could be considered as the apex of personalized medicine, genetics is not yet routinely used to guide prevention of stroke. Currently personalized aspects of prevention of stroke include tailoring interventions based on global risk, the utilization of individualized management plans within a model of organized care, and patient education. In this review we discuss the progress made in these aspects of prevention of stroke and present a case study to illustrate the issues faced by health care providers and patients with stroke that could be overcome with a personalized approach to the prevention of stroke.

Item Details

Item Type:Refereed Article
Keywords:stroke, prevention, personalized health care, education
Research Division:Medical and Health Sciences
Research Group:Cardiorespiratory Medicine and Haematology
Research Field:Cardiology (incl. Cardiovascular Diseases)
Objective Division:Health
Objective Group:Clinical Health (Organs, Diseases and Abnormal Conditions)
Objective Field:Cardiovascular System and Diseases
Author:Nelson, MR (Professor Mark Nelson)
ID Code:105322
Year Published:2015
Web of Science® Times Cited:3
Deposited By:Medicine (Discipline)
Deposited On:2015-12-18
Last Modified:2017-11-03
Downloads:50 View Download Statistics

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