Literature DB >> 17470832

Role of the apolipoprotein B-apolipoprotein A-I ratio in cardiovascular risk assessment: a case-control analysis in EPIC-Norfolk.

Wim A van der Steeg1, S Matthijs Boekholdt, Evan A Stein, Karim El-Harchaoui, Erik S G Stroes, Manjinder S Sandhu, Nicholas J Wareham, J Wouter Jukema, Robert Luben, Aeilko H Zwinderman, John J P Kastelein, Kay-Tee Khaw.   

Abstract

BACKGROUND: An elevated apolipoprotein B-apolipoprotein A-I (apo B-apo A-I) ratio is a risk factor for future coronary artery disease (CAD). It is not known whether this ratio is better than traditional lipid values for risk assessment and prediction and whether it adds predictive value to the Framingham risk score.
OBJECTIVE: To evaluate whether the apo B-apo A-I ratio is associated with future CAD events independent of traditional lipid measurements and the Framingham risk score and to evaluate the ability of this ratio to predict occurrence of future CAD.
DESIGN: Prospective, nested case-control study.
SETTING: Norfolk, United Kingdom. PARTICIPANTS: Apparently healthy men and women (45 to 79 years of age) in the European Prospective Investigation into Cancer and Nutrition-Norfolk. Cases (n = 869) were persons who developed fatal or nonfatal CAD. Controls (n = 1511) were persons without CAD who were matched for age, sex, and enrollment period. MEASUREMENTS: Total cholesterol, high-density lipoprotein (HDL) cholesterol, triglyceride, apolipoprotein, and C-reactive protein levels were measured directly. Low-density lipoprotein (LDL) cholesterol values were calculated by using the Friedewald formula.
RESULTS: The apo B-apo A-I ratio was associated with future CAD events, independent of traditional lipid values (adjusted odds ratio, 1.85 [95% CI, 1.15 to 2.98]), including the total cholesterol-HDL cholesterol ratio, and independent of the Framingham risk score (adjusted odds ratio, 1.77 [CI, 1.31 to 2.39]). However, it did no better than lipid values at discriminating between CAD cases and controls (area under the receiver-operating characteristic curve, 0.670 for total cholesterol-HDL cholesterol ratio vs. 0.673 for apo B-apo A-I ratio [P = 0.38]) and added little to the predictive value of the Framingham risk score (area under the receiver-operating characteristic curve, 0.594 for Framingham risk score alone vs. 0.613 for Framingham risk score plus apo B-apo A-I ratio [P < 0.001]). In addition, it incorrectly classified 41.1% of cases and 50.4% of controls. LIMITATIONS: No participant was taking lipid-lowering medication, and diabetes was uncommon.
CONCLUSIONS: The apo B-apo A-I ratio is independently associated with, but adds little to, existing measures for CAD risk assessment and discrimination in the general population. Other characteristics of the test, such as the ability to perform it on nonfasting samples, may still make it useful in some settings.

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Year:  2007        PMID: 17470832     DOI: 10.7326/0003-4819-146-9-200705010-00007

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  39 in total

1.  Association of apolipoprotein A1 and B with kidney function and chronic kidney disease in two multiethnic population samples.

Authors:  Oemer-Necmi Goek; Anna Köttgen; Ron C Hoogeveen; Christie M Ballantyne; Josef Coresh; Brad C Astor
Journal:  Nephrol Dial Transplant       Date:  2012-01-28       Impact factor: 5.992

2.  The hypertriglyceridemic-waist phenotype and the risk of coronary artery disease: results from the EPIC-Norfolk prospective population study.

Authors:  Benoit J Arsenault; Isabelle Lemieux; Jean-Pierre Després; Nicholas J Wareham; John J P Kastelein; Kay-Tee Khaw; S Matthijs Boekholdt
Journal:  CMAJ       Date:  2010-07-19       Impact factor: 8.262

3.  Assessing the Incremental Role of Novel and Emerging Risk Factors.

Authors:  Nancy R Cook
Journal:  Curr Cardiovasc Risk Rep       Date:  2010-03-01

Review 4.  Lipid parameters for measuring risk of cardiovascular disease.

Authors:  Benoit J Arsenault; S Matthijs Boekholdt; John J P Kastelein
Journal:  Nat Rev Cardiol       Date:  2011-02-01       Impact factor: 32.419

Review 5.  Plasma lipoproteins: genetic influences and clinical implications.

Authors:  Robert A Hegele
Journal:  Nat Rev Genet       Date:  2009-01-13       Impact factor: 53.242

6.  Apolipoprotein B attenuates albuminuria-associated cardiovascular disease in prevention of renal and vascular endstage disease (PREVEND) participants.

Authors:  James P Corsetti; Ron T Gansevoort; Stephan J L Bakker; Charles E Sparks; Priya Vart; Robin P F Dullaart
Journal:  J Am Soc Nephrol       Date:  2014-05-22       Impact factor: 10.121

Review 7.  2009 Canadian Cardiovascular Society/Canadian guidelines for the diagnosis and treatment of dyslipidemia and prevention of cardiovascular disease in the adult - 2009 recommendations.

Authors:  Jacques Genest; Ruth McPherson; Jiri Frohlich; Todd Anderson; Norm Campbell; André Carpentier; Patrick Couture; Robert Dufour; George Fodor; Gordon A Francis; Steven Grover; Milan Gupta; Robert A Hegele; David C Lau; Lawrence Leiter; Gary F Lewis; Eva Lonn; G B John Mancini; Dominic Ng; Glen J Pearson; Allan Sniderman; James A Stone; Ehud Ur
Journal:  Can J Cardiol       Date:  2009-10       Impact factor: 5.223

Review 8.  Biomarkers of atherosclerosis: clinical applications.

Authors:  Todd M Brown; Vera Bittner
Journal:  Curr Cardiol Rep       Date:  2008-11       Impact factor: 2.931

Review 9.  Lipoprotein ratios: Physiological significance and clinical usefulness in cardiovascular prevention.

Authors:  Jesús Millán; Xavier Pintó; Anna Muñoz; Manuel Zúñiga; Joan Rubiés-Prat; Luis Felipe Pallardo; Luis Masana; Alipio Mangas; Antonio Hernández-Mijares; Pedro González-Santos; Juan F Ascaso; Juan Pedro-Botet
Journal:  Vasc Health Risk Manag       Date:  2009-09-18

10.  Apolipoprotein B but not LDL cholesterol is associated with coronary artery calcification in type 2 diabetic whites.

Authors:  Seth S Martin; Atif N Qasim; Nehal N Mehta; Megan Wolfe; Karen Terembula; Stanley Schwartz; Nayyar Iqbal; Mark Schutta; Roshanak Bagheri; Muredach P Reilly
Journal:  Diabetes       Date:  2009-06-02       Impact factor: 9.461

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