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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/.
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: | Biomedical and Clinical Sciences |
| Research Group: | Cardiovascular medicine and haematology |
| Research Field: | Cardiology (incl. cardiovascular diseases) |
| Objective Division: | Health |
| Objective Group: | Clinical health |
| Objective Field: | Clinical health not elsewhere classified |
| UTAS Author: | Nelson, MR (Professor Mark Nelson) |
| ID Code: | 105322 |
| Year Published: | 2015 |
| Deposited By: | Medicine |
| Deposited On: | 2015-12-18 |
| Last Modified: | 2017-11-03 |
| Downloads: | 160 View Download Statistics |
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