Riskard 2005. New tools for prediction of cardiovascular disease risk derived from Italian population studies

Alessandro Menotti, Mariapaola Lanti, Enrico Agabiti-Rosei, Luigi Carratelli, Giovanni Cavera, Ada Dormi, Antonio Gaddi, Mario Mancini, Mario Motolese, Maria Lorenza Muiesan, Sandro Muntoni, Sergio Muntoni, Alberto Notarbartolo, Pierluigi Prati, Stefano Remiddi, Alberto Zanchetti

Research output: Contribution to journalArticlepeer-review

Abstract

Background and aim: The need to update tools for the estimate of cardiovascular risk prompted the "Gruppo di Ricerca per la Stima del Rischio Cardiovascolare in Italia" to produce a new chart and new software called Riskard 2005. Methods and results: Data from 9 population studies in 8 Italian regions, for a grand total of 17,153 subjects (12,045 men and 5,108 women) aged 35-74 and for a total exposure of about 194,000 person/years were available. A chart for the estimate of cardiovascular risk (major coronary, cerebrovascular and peripheral artery disease events) in 10 years was produced for men and women aged 45-74 free from cardiovascular diseases. Risk factors employed in the estimate were sex, age (6 classes), systolic blood pressure (4 classes), serum cholesterol (5 classes), diabetes, and cigarette smoking (4 classes). Estimates were produced for absolute risk and for relative risk, the latter against levels expected in the general population that produced the risk functions. Software was produced for the separate estimate of major coronary, cerebrovascular and cardiovascular events (the latter made by coronary, cerebrovascular and peripheral artery disease of atherosclerotic origin) for follow-up at 5, 10 or 15 years, in men a women aged 35-74 years at entry and free from cardiovascular diseases. Risk factors employed here were sex, age, body mass index, mean physiological blood pressure, HDL cholesterol, non-HDL cholesterol, cigarette smoking, diabetes and heart rate. The output is based on several indicators: absolute risk, relative risk (as defined above), ideal risk (for a very favourable risk profile), biological age of risk, comparisons among the above indicators, the percent contribution of risk factors to the excess of estimated risk above the level of the ideal risk, and the description of trends in risk estimate in relation to repeated measurements. Conclusions: These tools represent progress compared to similar tools produced some years ago by the same Research Group.

Original languageEnglish
Pages (from-to)426-440
Number of pages15
JournalNutrition, Metabolism and Cardiovascular Diseases
Volume15
Issue number6
DOIs
Publication statusPublished - Dec 2005

Keywords

  • Cardiovascular risk
  • Cardiovascular risk factors
  • Risk chart
  • Risk software

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Medicine (miscellaneous)
  • Food Science
  • Endocrinology, Diabetes and Metabolism
  • Nutrition and Dietetics

Fingerprint Dive into the research topics of 'Riskard 2005. New tools for prediction of cardiovascular disease risk derived from Italian population studies'. Together they form a unique fingerprint.

Cite this