Literature DB >> 15871855

Definition of high risk individuals to optimise strategies for primary prevention of cardiovascular diseases.

Simona Giampaoli1, Luigi Palmieri, Amalia Mattiello, Salvatore Panico.   

Abstract

The identification of high risk individuals is one of the main goals of cardiovascular primary prevention and constitutes the basis for implementing actions oriented toward reducing modifiable risk factors at individual level, from changing life styles to drug interventions. The most appropriate method for identifying high risk individuals is the evaluation of their absolute global risk, a probability indicator of incidence, predictable on the basis of risk factor levels. Risk functions, derived from longitudinal studies, are used to identify persons at high probability to develop cardiovascular diseases. The appropriateness of the use of these risk functions depends upon the characteristics of the population that generated them and of individuals which they are applied to. Risk charts are simply absolute global risks calculated by classes of risk factors; risk scores are more precise evaluation derived from absolute global risks calculated by continuous levels of risk factors. Risk charts and scores are formed through the risk functions derived from different studies: Framingham, PROCAM (Munster), Seven Countries Study, SCORE and Progetto CUORE. A further chart has been created using the Framingham Study and adapted to the guidelines of New Zealand regarding the treatment of dyslipidemias and blood pressure. Major differences can be found in the availability of risk factors in men and women and in the use of fatal and non-fatal coronary and cerebrovascular events as end-points. All these studies use different diagnostic criteria for identification, classification and validation of events. The awareness of the risk charts differences is a key issue to refine tools for prevention of cardiovascular disease in populations with different probabilities of disease frequency.

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Year:  2005        PMID: 15871855     DOI: 10.1016/j.numecd.2004.12.001

Source DB:  PubMed          Journal:  Nutr Metab Cardiovasc Dis        ISSN: 0939-4753            Impact factor:   4.222


  14 in total

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2.  The Framingham Heart Study's impact on global risk assessment.

Authors:  Asaf Bitton; Thomas A Gaziano
Journal:  Prog Cardiovasc Dis       Date:  2010 Jul-Aug       Impact factor: 8.194

3.  A literature review of the cardiovascular risk-assessment tools: applicability among Asian population.

Authors:  Siow Yen Liau; M I Mohamed Izham; M A Hassali; A A Shafie
Journal:  Heart Asia       Date:  2010-07-06

4.  Metabolic syndrome and left ventricular hypertrophy in the prediction of cardiovascular events: the Strong Heart Study.

Authors:  G de Simone; R B Devereux; M Chinali; M J Roman; E T Lee; H E Resnick; B V Howard
Journal:  Nutr Metab Cardiovasc Dis       Date:  2008-07-31       Impact factor: 4.222

5.  Cross-sectional epidemiological study to evaluate the cardiovascular profile of a cohort of blood donors.

Authors:  Marcella Longo; Carla Lucci; Maurizio Marconi; Giovanna Cremonesi
Journal:  Blood Transfus       Date:  2007-07       Impact factor: 3.443

6.  Who is responsible for your health: is it you, your doctor or the new technologies?

Authors:  Vincenzo Atella; Francesco D'Amico
Journal:  Eur J Health Econ       Date:  2014-09-16

7.  Cardiovascular and metabolic predictors of progression of prehypertension into hypertension: the Strong Heart Study.

Authors:  Marina De Marco; Giovanni de Simone; Mary J Roman; Marcello Chinali; Elisa T Lee; Marie Russell; Barbara V Howard; Richard B Devereux
Journal:  Hypertension       Date:  2009-08-31       Impact factor: 10.190

8.  Weak prediction power of the Framingham Risk Score for coronary artery disease in nonagenarians.

Authors:  Josef Yayan
Journal:  PLoS One       Date:  2014-11-13       Impact factor: 3.240

9.  Genetic information improves the prediction of major adverse cardiovascular events in the GENEMACOR population.

Authors:  Maria Isabel Mendonça; Eva Henriques; Sofia Borges; Ana Célia Sousa; Andreia Pereira; Marina Santos; Margarida Temtem; Sónia Freitas; Joel Monteiro; João Adriano Sousa; Ricardo Rodrigues; Graça Guerra; Roberto Palma Dos Reis
Journal:  Genet Mol Biol       Date:  2021-06-11       Impact factor: 1.771

10.  Psoriasis and Cardiovascular Risk: Assessment by CUORE Project Risk Score in Italian Patients.

Authors:  Spyridoula Doukaki; Valentina Caputo; Maria Rita Bongiorno
Journal:  Dermatol Res Pract       Date:  2013-09-08
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