BACKGROUND: The General Cardiovascular Risk Profile is a multivariable model that predicts global cardiovascular disease risk. Our goal was to assess the ability of the General Cardiovascular Risk Profile to identify individuals with advanced coronary artery calcification (CAC) and determine whether identification is improved with family history. METHODS AND RESULTS: Using data from the Multiethnic Study of Atherosclerosis, 3 sex-specific models were developed with ordinal logistic regressions to relate risk factors to CAC scores. Model 1 included covariates in the General Cardiovascular Risk Profile. Then family history was added, defined as having at least 1 first-degree relative with premature coronary heart disease (model 2) or as a weak, moderate, or strong family history based on number of relatives with coronary heart disease, age at onset, and the presence of stroke or diabetes in the family (model 3). For each model, we estimated mathematical CAC risk functions, derived CAC score sheets, evaluated the ability to discriminate persons having positive CAC scores, and assessed reclassification of individuals with low, intermediate, or high probability of CAC >300. Model 1 worked well to identify women and men with positive CAC scores; c-statistics were 0.752 and 0.718 and chi(2) values were 821.2 (P<0.0001) and 730.6 (P<0.0001), respectively. Addition of family history improved discrimination and fit of model 1. However, reclassification of participants with advanced CAC was significantly improved with model 3 only. CONCLUSIONS: The General Cardiovascular Risk Profile identifies advanced CAC, an emerging indication for aggressive risk factor modification. Incorporation of family history, especially comprehensive familial risk stratification, provides incremental prognostic value.
BACKGROUND: The General Cardiovascular Risk Profile is a multivariable model that predicts global cardiovascular disease risk. Our goal was to assess the ability of the General Cardiovascular Risk Profile to identify individuals with advanced coronary artery calcification (CAC) and determine whether identification is improved with family history. METHODS AND RESULTS: Using data from the Multiethnic Study of Atherosclerosis, 3 sex-specific models were developed with ordinal logistic regressions to relate risk factors to CAC scores. Model 1 included covariates in the General Cardiovascular Risk Profile. Then family history was added, defined as having at least 1 first-degree relative with premature coronary heart disease (model 2) or as a weak, moderate, or strong family history based on number of relatives with coronary heart disease, age at onset, and the presence of stroke or diabetes in the family (model 3). For each model, we estimated mathematical CAC risk functions, derived CAC score sheets, evaluated the ability to discriminate persons having positive CAC scores, and assessed reclassification of individuals with low, intermediate, or high probability of CAC >300. Model 1 worked well to identify women and men with positive CAC scores; c-statistics were 0.752 and 0.718 and chi(2) values were 821.2 (P<0.0001) and 730.6 (P<0.0001), respectively. Addition of family history improved discrimination and fit of model 1. However, reclassification of participants with advanced CAC was significantly improved with model 3 only. CONCLUSIONS: The General Cardiovascular Risk Profile identifies advanced CAC, an emerging indication for aggressive risk factor modification. Incorporation of family history, especially comprehensive familial risk stratification, provides incremental prognostic value.
Authors: Philip Greenland; Robert O Bonow; Bruce H Brundage; Matthew J Budoff; Mark J Eisenberg; Scott M Grundy; Michael S Lauer; Wendy S Post; Paolo Raggi; Rita F Redberg; George P Rodgers; Leslee J Shaw; Allen J Taylor; William S Weintraub Journal: J Am Coll Cardiol Date: 2007-01-23 Impact factor: 24.094
Authors: Rozemarijn Vliegenthart; Matthijs Oudkerk; Albert Hofman; Hok-Hay S Oei; Wim van Dijck; Frank J A van Rooij; Jacqueline C M Witteman Journal: Circulation Date: 2005-07-11 Impact factor: 29.690
Authors: Allen J Taylor; Jody Bindeman; Irwin Feuerstein; Felix Cao; Michael Brazaitis; Patrick G O'Malley Journal: J Am Coll Cardiol Date: 2005-09-06 Impact factor: 24.094
Authors: Diane E Bild; Robert Detrano; Do Peterson; Alan Guerci; Kiang Liu; Eyal Shahar; Pamela Ouyang; Sharon Jackson; Mohammed F Saad Journal: Circulation Date: 2005-03-15 Impact factor: 29.690
Authors: Robert C Detrano; Melissa Anderson; Jennifer Nelson; Nathan D Wong; J Jeffrey Carr; Michael McNitt-Gray; Diane E Bild Journal: Radiology Date: 2005-06-21 Impact factor: 11.105
Authors: Morteza Naghavi; Erling Falk; Harvey S Hecht; Michael J Jamieson; Sanjay Kaul; Daniel Berman; Zahi Fayad; Matthew J Budoff; John Rumberger; Tasneem Z Naqvi; Leslee J Shaw; Ole Faergeman; Jay Cohn; Raymond Bahr; Wolfgang Koenig; Jasenka Demirovic; Dan Arking; Victoria L M Herrera; Juan Badimon; James A Goldstein; Yoram Rudy; Juhani Airaksinen; Robert S Schwartz; Ward A Riley; Robert A Mendes; Pamela Douglas; Prediman K Shah Journal: Am J Cardiol Date: 2006-06-12 Impact factor: 2.778
Authors: Khurram Nasir; Matthew J Budoff; Nathan D Wong; Maren Scheuner; David Herrington; Donna K Arnett; Moyses Szklo; Philip Greenland; Roger S Blumenthal Journal: Circulation Date: 2007-07-23 Impact factor: 29.690
Authors: Jaideep Patel; Mahmoud Al Rifai; Michael J Blaha; Matthew J Budoff; Wendy S Post; Joseph F Polak; David A Bluemke; Maren T Scheuner; Richard A Kronmal; Roger S Blumenthal; Khurram Nasir; John W McEvoy Journal: Circ Cardiovasc Imaging Date: 2015-06 Impact factor: 7.792
Authors: Jaideep Patel; Mahmoud Al Rifai; Maren T Scheuner; Steven Shea; Roger S Blumenthal; Khurram Nasir; Michael J Blaha; John W McEvoy Journal: Mayo Clin Proc Date: 2018-03-16 Impact factor: 7.616
Authors: Arvind K Pandey; Michael J Blaha; Kavita Sharma; Juan Rivera; Matthew J Budoff; Ron Blankstein; Mouaz Al-Mallah; Nathan D Wong; Leslee Shaw; Jeffery Carr; Daniel O'Leary; Joao A C Lima; Moyses Szklo; Roger S Blumenthal; Khurram Nasir Journal: Atherosclerosis Date: 2013-12-06 Impact factor: 5.162
Authors: P L da Luz; S Coimbra; D Favarato; C Albuquerque; R I Mochiduky; C E Rochitte; E Hojaij; C R L Gonsalves; F R Laurindo Journal: Braz J Med Biol Res Date: 2014-07-04 Impact factor: 2.590