Literature DB >> 15523320

Underlying risk factors incrementally add to the standard risk estimate in detecting subclinical atherosclerosis in low- and intermediate-risk middle-aged asymptomatic individuals.

Milind Y Desai1, Khurram Nasir, Joel B Braunstein, John A Rumberger, Wendy S Post, Matthew J Budoff, Roger S Blumenthal.   

Abstract

BACKGROUND: Traditional risk factors predict the 10-year risk of developing coronary heart disease (CHD). Underlying risk factors like physical inactivity, obesity (BMI >30 kg/m2), and family history of premature CHD are independently associated with CHD. High burden of coronary artery calcification (CAC) on electron beam tomography (EBT) is a CHD risk equivalent. GOALS: To determine the association between CAC and traditional risk assessment and whether the presence of added underlying risk factors is associated with advanced CAC in low- and intermediate-risk individuals.
METHODS: After excluding patients with CHD, we studied 8549 asymptomatic individuals referred for EBT for cardiac risk assessment. Traditional myocardial infarction risk score was estimated according to Framingham criteria, and individuals were divided into 3 groups: low-risk (< or =9% MI risk over the next 10 years), intermediate-risk (10%-20% risk), and high-risk (>20 % risk). Advanced CAC was defined as a calcium score > or =75th percentile based on sex and age.
RESULTS: The prevalence of advanced CAC was 20% in low-risk, 27% in intermediate-risk, and 31% in high-risk individuals (P < .001). Underlying risk factors were incrementally associated with advanced CAC in low- and intermediate-risk individuals (P < .001). A receiver operating characteristic curve analysis revealed that addition of underlying risk factors to traditional risk assessment increased the area under the curve significantly from 0.56 to 0.62 (P < .001).
CONCLUSION: A substantial proportion of low- and intermediate-risk individuals have advanced CAC. Adding family history, obesity, and physical inactivity to traditional risk assessment improves prediction of advanced CAC, which may lead these individuals to be treated more aggressively at an earlier age.

Entities:  

Mesh:

Year:  2004        PMID: 15523320     DOI: 10.1016/j.ahj.2004.05.033

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  10 in total

1.  Evaluation of the appropriateness criteria for coronary computed tomography angiography in an academic medical center in a developing country: comparison of the 2006 and 2010 criteria.

Authors:  Katia El Sibai; Salam Itani; Ali Rabah; Mukbil Hourani; Habib A Dakik
Journal:  J Nucl Cardiol       Date:  2011-08-11       Impact factor: 5.952

2.  Yield of screening for coronary artery calcium in early middle-age adults based on the 10-year Framingham Risk Score: the CARDIA study.

Authors:  Tochi M Okwuosa; Philip Greenland; Hongyan Ning; Kiang Liu; Donald M Lloyd-Jones
Journal:  JACC Cardiovasc Imaging       Date:  2012-09

3.  Target organ damage in a population at intermediate cardiovascular risk, with adjunctive major risk factors: CArdiovascular PREvention Sacco Study (CAPRESS).

Authors:  Francesca Perego; Elio Renesto; Massimo Arquati; Luciana Scandiani; Chiara Cogliati; Daniela Torzillo; Luca Zocchi; Giovanni Casazza; Piergiorgio Duca; Saverio Chirchiglia; Gemma Lacaita; Mauro Panteghini; Michele Cortellaro
Journal:  Intern Emerg Med       Date:  2010-12-17       Impact factor: 3.397

4.  Distribution of coronary artery calcium scores by Framingham 10-year risk strata in the MESA (Multi-Ethnic Study of Atherosclerosis) potential implications for coronary risk assessment.

Authors:  Tochi M Okwuosa; Philip Greenland; Hongyan Ning; Kiang Liu; Diane E Bild; Gregory L Burke; John Eng; Donald M Lloyd-Jones
Journal:  J Am Coll Cardiol       Date:  2011-05-03       Impact factor: 24.094

5.  Association of coronary artery calcium and congestive heart failure in the general population: Results of the Heinz Nixdorf Recall study.

Authors:  H Kälsch; N Lehmann; S Möhlenkamp; T Neumann; U Slomiany; Axel Schmermund; Andreas Stang; S Moebus; M Bauer; K Mann; K-H Jöckel; R Erbel
Journal:  Clin Res Cardiol       Date:  2010-03       Impact factor: 5.460

6.  Psychiatric and neurophysiological predictors of obesity in HIV/AIDS.

Authors:  Lance O Bauer
Journal:  Psychophysiology       Date:  2008-09-24       Impact factor: 4.016

7.  Using basic science to design a clinical trial: baseline characteristics of women enrolled in the Kronos Early Estrogen Prevention Study (KEEPS).

Authors:  V M Miller; D M Black; E A Brinton; M J Budoff; M I Cedars; H N Hodis; R A Lobo; J E Manson; G R Merriam; F Naftolin; N Santoro; H S Taylor; S M Harman
Journal:  J Cardiovasc Transl Res       Date:  2009-05-22       Impact factor: 4.132

8.  Characterization of blood borne microparticles as markers of premature coronary calcification in newly menopausal women.

Authors:  Muthuvel Jayachandran; Robert D Litwiller; Whyte G Owen; John A Heit; Thomas Behrenbeck; Sharon L Mulvagh; Philip A Araoz; Matthew J Budoff; S Mitchell Harman; Virginia M Miller
Journal:  Am J Physiol Heart Circ Physiol       Date:  2008-07-11       Impact factor: 4.733

9.  Plasma metabolomic profiles predict near-term death among individuals with lower extremity peripheral arterial disease.

Authors:  Chiang-Ching Huang; Mary M McDermott; Kiang Liu; Ching-Hua Kuo; San-Yuan Wang; Huimin Tao; Yufeng Jane Tseng
Journal:  J Vasc Surg       Date:  2013-05-17       Impact factor: 4.268

Review 10.  Vascular actions of estrogens: functional implications.

Authors:  Virginia M Miller; Sue P Duckles
Journal:  Pharmacol Rev       Date:  2008-06-25       Impact factor: 25.468

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.