From circulating biomarkers to genomics and imaging in the prediction of cardiovascular events in the general population.
Fava, Cristiano LU ; Montagnana, Martina LU ; Guidi, Gian Cesare and Melander, Olle LU
(2012)
In Annals of Medicine
44(5).
p.433-447
- Abstract
- Abstract Cardiovascular disease (CVD) is the leading cause of death and disability worldwide. In the last decades numerous markers have been considered and investigated for the prediction of CV events, but only a few of them resulted in improved global risk assessment beyond traditional risk factors when incorporated into coronary evaluation scores. Recent genetic studies have pointed out a few but consistent loci or genes which are independently associated with CV risk. The idea is fascinating that these genetic markers could lead to improved individual CV risk assessment and tailored pharmacological interventions. In this brief review we will not make a systematic review of all non-genetic and genetic markers of CV risk but we will try... (More)
- Abstract Cardiovascular disease (CVD) is the leading cause of death and disability worldwide. In the last decades numerous markers have been considered and investigated for the prediction of CV events, but only a few of them resulted in improved global risk assessment beyond traditional risk factors when incorporated into coronary evaluation scores. Recent genetic studies have pointed out a few but consistent loci or genes which are independently associated with CV risk. The idea is fascinating that these genetic markers could lead to improved individual CV risk assessment and tailored pharmacological interventions. In this brief review we will not make a systematic review of all non-genetic and genetic markers of CV risk but we will try to make a brief overview of the most interesting ones with the aim to underline potential 'pros' and 'cons' of their implementation in clinical practice. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2008734
- author
- Fava, Cristiano
LU
; Montagnana, Martina
LU
; Guidi, Gian Cesare
and Melander, Olle
LU
- organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Annals of Medicine
- volume
- 44
- issue
- 5
- pages
- 433 - 447
- publisher
- Taylor & Francis
- external identifiers
-
- wos:000306523700003
- pmid:21623699
- scopus:84864033399
- pmid:21623699
- ISSN
- 1365-2060
- DOI
- 10.3109/07853890.2011.582511
- language
- English
- LU publication?
- yes
- id
- c18e04a3-7721-4a87-a694-19ba271139be (old id 2008734)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/21623699?dopt=Abstract
- date added to LUP
- 2016-04-01 10:52:35
- date last changed
- 2024-04-07 20:24:29
@article{c18e04a3-7721-4a87-a694-19ba271139be,
abstract = {{Abstract Cardiovascular disease (CVD) is the leading cause of death and disability worldwide. In the last decades numerous markers have been considered and investigated for the prediction of CV events, but only a few of them resulted in improved global risk assessment beyond traditional risk factors when incorporated into coronary evaluation scores. Recent genetic studies have pointed out a few but consistent loci or genes which are independently associated with CV risk. The idea is fascinating that these genetic markers could lead to improved individual CV risk assessment and tailored pharmacological interventions. In this brief review we will not make a systematic review of all non-genetic and genetic markers of CV risk but we will try to make a brief overview of the most interesting ones with the aim to underline potential 'pros' and 'cons' of their implementation in clinical practice.}},
author = {{Fava, Cristiano and Montagnana, Martina and Guidi, Gian Cesare and Melander, Olle}},
issn = {{1365-2060}},
language = {{eng}},
number = {{5}},
pages = {{433--447}},
publisher = {{Taylor & Francis}},
series = {{Annals of Medicine}},
title = {{From circulating biomarkers to genomics and imaging in the prediction of cardiovascular events in the general population.}},
url = {{https://lup.lub.lu.se/search/files/2203714/2175362.pdf}},
doi = {{10.3109/07853890.2011.582511}},
volume = {{44}},
year = {{2012}},
}