title: Metabolic syndrome best defines the multivariate distribution of blood variables in postinfarction patients.
abstract: The hypothesis was tested that metabolic syndrome (MS) plays a leading role in approximating the multivariate distribution of thrombogenic and metabolic blood variables in a population of postinfarction patients. The multivariate statistical technique of factor analysis was used to determine blood variable clustering 2 months after myocardial infarction. Five clusters resulted in two separate independent factors, dyslipidemia and metabolic, reflecting MS and the remaining interpreted as cholesterol-lipoprotein, vascular-inflammatory, and coagulation. All five factors accounted for 55% of total variance with MS-associated factors accounting for 20% and individual factor contributions as follows: 11.6, 8.6, 12.9, 11.9, and 9.6%, respectively. There were no interactions of metabolic variables with thrombogenic variables or CRP in any factor. Results of subgroup analysis in males and females and in patients on and not on statins were all similar to the total group. We conclude there is no interaction of variables of MS or cholesterol-lipoprotein factors with those of thrombogenic factors. This independence yields the potential for use of factors in evaluating CVD risk. Further, the importance of MS in this group of postinfarction patients is emphasized, as the largest contribution to total variance was from MS factors, meaning that these variables best approximate the original multivariate distribution.
authors.affiliation: Department of Pathology and Laboratory Medicine, School of Medicine and Dentistry, University of Rochester, P.O. Box 626, 601 Elmwood Avenue, Rochester, NY, USA.
authors.forename: James P
authors.initials: JP
authors.lastname: Corsetti
authors.forename: Wojciech
authors.initials: W
authors.lastname: Zareba
authors.forename: Arthur J
authors.initials: AJ
authors.lastname: Moss
authors.forename: Paul M
authors.initials: PM
authors.lastname: Ridker
authors.forename: Victor J
authors.initials: VJ
authors.lastname: Marder
authors.forename: David L
authors.initials: DL
authors.lastname: Rainwater
authors.forename: Charles E
authors.initials: CE
authors.lastname: Sparks
mesh_terms: D000368:Aged; D001053:Apolipoproteins / Q000097:blood; D001774:Blood Chemical Analysis; D008076:Cholesterol, HDL / Q000097:blood; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000209:etiology*; D008875:Middle Aged; D015999:Multivariate Analysis; D009203:Myocardial Infarction / Q000097:blood* / Q000150:complications*; D011336:Probability; D011379:Prognosis; D011446:Prospective Studies; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D014280:Triglycerides / Q000097:blood
chemical_list: D001053:Apolipoproteins; D008076:Cholesterol, HDL; D014280:Triglycerides