title: Relation of insulin resistance to markers of preclinical cardiovascular disease: the Strong Heart Study.
abstract: OBJECTIVE
  To investigate whether insulin-resistance influences echocardiographic markers of preclinical disease, independent of significant confounders.
  
  
  RESULTS
  We examined 1,471 (59 +/- 8 years) non-diabetic individuals (WHO criteria) with available echocardiograms from the Strong Heart Study cohort. Among them, 530 subjects had arterial hypertension (62% on medications), 152 had impaired glucose tolerance (GT) and 460 were normotensive, non-obese with normal GT. Insulin resistance was estimated by the Homeostasis Model Assessment (HOMA). LV mass, systolic function measured at the endocardium and the midwall (also correcting for circumferential wall stress) and arterial compliance (stroke volume/pulse pressure as a percent of predicted from body weight, age and heart rate [delta %SV/PP]) were measured by echocardiography, as prognostically validated markers of preclinical disease. HOMA-index was related positively to body mass index (BMI), waist/hip ratio (WHR), blood pressure, left ventricular (LV) mass, and negatively to arterial compliance (all p < 0.005) in the whole population, as well as in separate normotensive or hypertensive groups. In multiple regression models, relation of HOMA-index with the markers of risk was adjusted for age, sex, WHR, body mass index, presence of hypertension and number of antihypertensive medications. In this analysis, neither LV mass nor indices of systolic function were independently related to HOMA-index. In contrast, HOMA-index maintained a significant negative association with delta %SV/PP, independent of demographics, hypertension, treatment and body fat distribution. Also, HOMA-index maintained an independent relation with LV mass, when WHR and BMI were not included in the regression model.
  
  
  CONCLUSIONS
  After accounting for relevant biological covariates, including body mass and fat distribution, insulin-resistance measured by HOMA is not an independent correlate of LV mass and function, but negatively influences arterial compliance.
authors.affiliation: Division of Cardiology, New York-Presbyterian Hospital, Weill Medical College, Cornell University, 525 East 68th Street, New York, N.Y. 10021, USA. simogi@unina.it
authors.forename: G
authors.initials: G
authors.lastname: de Simone
authors.forename: R B
authors.initials: RB
authors.lastname: Devereux
authors.forename: V
authors.initials: V
authors.lastname: Palmieri
authors.forename: M J
authors.initials: MJ
authors.lastname: Roman
authors.forename: A
authors.initials: A
authors.lastname: Celentano
authors.forename: T K
authors.initials: TK
authors.lastname: Welty
authors.forename: R R
authors.initials: RR
authors.lastname: Fabsitz
authors.forename: F
authors.initials: F
authors.lastname: Contaldo
authors.forename: B V
authors.initials: BV
authors.lastname: Howard
mesh_terms: D000368:Aged; D001158:Arteries / Q000473:pathology*; D015415:Biomarkers; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000453:epidemiology; D015331:Cohort Studies; D004452:Echocardiography; D005260:Female; D006801:Humans; D017379:Hypertrophy, Left Ventricular / Q000150:complications / Q000175:diagnosis / Q000000981:diagnostic imaging; D007333:Insulin Resistance / Q000502:physiology; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000150:complications / Q000453:epidemiology; D012307:Risk Factors; D013318:Stroke Volume
chemical_list: D015415:Biomarkers