Literature DB >> 19952758

Improvement of cardiovascular risk prediction: time to review current knowledge, debates, and fundamentals on how to assess test characteristics.

Michel Romanens1, Franz Ackermann, John David Spence, Roger Darioli, Nicolas Rodondi, Roberto Corti, Georg Noll, Matthias Schwenkglenks, Michael Pencina.   

Abstract

Cardiovascular risk assessment might be improved with the addition of emerging, new tests derived from atherosclerosis imaging, laboratory tests or functional tests. This article reviews relative risk, odds ratios, receiver-operating curves, posttest risk calculations based on likelihood ratios, the net reclassification improvement and integrated discrimination. This serves to determine whether a new test has an added clinical value on top of conventional risk testing and how this can be verified statistically. Two clinically meaningful examples serve to illustrate novel approaches. This work serves as a review and basic work for the development of new guidelines on cardiovascular risk prediction, taking into account emerging tests, to be proposed by members of the 'Taskforce on Vascular Risk Prediction' under the auspices of the Working Group 'Swiss Atherosclerosis' of the Swiss Society of Cardiology in the future.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 19952758     DOI: 10.1097/HJR.0b013e3283347059

Source DB:  PubMed          Journal:  Eur J Cardiovasc Prev Rehabil        ISSN: 1741-8267


  4 in total

1.  [Prediction of coronary artery stenosis by measurement of total plaque area and thickness versus intima media thickness of the carotid artery].

Authors:  Ansgar Adams; Waldemar Bojara
Journal:  Herz       Date:  2015-05-22       Impact factor: 1.443

Review 2.  New risk markers for cardiovascular prevention.

Authors:  Guy G De Backer
Journal:  Curr Atheroscler Rep       Date:  2014-08       Impact factor: 5.113

3.  Genetic risk prediction for CKD: a journey of a thousand miles.

Authors:  Jeffrey B Kopp; Cheryl A Winkler
Journal:  Am J Kidney Dis       Date:  2012-01       Impact factor: 8.860

4.  Adding carotid total plaque area to the Framingham risk score improves cardiovascular risk classification.

Authors:  Hernan A Perez; Nestor Horacio Garcia; John David Spence; Luis J Armando
Journal:  Arch Med Sci       Date:  2016-05-18       Impact factor: 3.318

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.