title: The association of non-HDL cholesterol with the presence of metabolic syndrome in North Indian subjects with and without CAD.
abstract: OBJECTIVE
  The present study aims to identify which lipid parameter is significantly associated with Coronary Artery Disease (CAD) and metabolic syndrome (MetS) and also to find out the association of non-HDL cholesterol (non-HDL-C) with the presence of MetS in North Indian subjects with and without CAD.
  
  
  METHODS
  One hundred and thirteen CAD and 140 non-CAD (controls) aged 35-75 years were recruited for the study, matched for ethnicity and geography after obtaining their written informed consent. The CAD patients were identified based on their medical diagnostic history. Height, weight, waist and hip circumferences, blood pressures (systolic and diastolic) and lipid profile were measured for all the subjects.
  
  
  RESULTS
  Sixty-nine out of 113 (61.06%) of CAD and 52/140 (37.1%) of non-CAD had MetS. Age standardized prevalence of MetS was 23.2% and 16.1% in CAD and non-CAD individuals, respectively. Age standardized prevalence of metabolic abnormalities in the CAD group was in the order of abdominal obesity>non-HDL-C>systolic blood pressure (SBP) > triglyceride (TG) > total cholesterol (TC) > diastolic blood pressure (DBP) > Low Density Lipoprotein Cholesterol (LDL-C) > High Density Lipoprotein Cholesterol (HDL-C). Non-HDL-C, TG and HDL-C were found to be significantly associated with MetS.
  
  
  CONCLUSIONS
  TG and HDL-C are established risk components included in the characterization of MetS; but significant association of non-HDL-C with MetS in the present study is a key finding. The study focuses on the use of non-HDL-C as a simple screening tool to identify individuals with clustering metabolic abnormalities which increase the propensity for CAD.
authors.affiliation: Biochemical and Molecular Lab, Department of Anthropology, University of Delhi, Delhi, India.
authors.forename: Priyanka Rani
authors.initials: PR
authors.lastname: Garg
authors.forename: Salam
authors.initials: S
authors.lastname: Kabita
authors.forename: Ekata
authors.initials: E
authors.lastname: Sinha
authors.forename: Leena
authors.initials: L
authors.lastname: Kalla
authors.forename: Lovejeet
authors.initials: L
authors.lastname: Kaur
authors.forename: Kallur Nava
authors.initials: KN
authors.lastname: Saraswathy
mesh_terms: D000328:Adult; D000368:Aged; D001794:Blood Pressure; D001827:Body Height; D001835:Body Weight; D002784:Cholesterol / Q000097:blood*; D008076:Cholesterol, HDL / Q000097:blood; D008078:Cholesterol, LDL / Q000097:blood; D003324:Coronary Artery Disease / Q000097:blood* / Q000150:complications; D005260:Female; D006801:Humans; D007194:India; D008055:Lipids / Q000097:blood*; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000150:complications; D008875:Middle Aged; D056128:Obesity, Abdominal; D015995:Prevalence; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood; D055105:Waist Circumference
chemical_list: D008076:Cholesterol, HDL; D008078:Cholesterol, LDL; D008055:Lipids; D014280:Triglycerides; D002784:Cholesterol