title: Insulin resistance in nondiabetic patients is associated with expansive remodeling in coronary arterial lesions.
abstract: OBJECTIVE
  Insulin resistance has been implicated as an important initiating factor in coronary atherosclerosis. However, associations between insulin resistance and specific morphologic features of atherosclerotic coronary arteries remain unclear. We ultrasonographically evaluated the morphologic features of atherosclerotic coronary arteries in nondiabetic patients with insulin resistance.
  
  
  METHODS
  Before intervention, 90 patients with 105 culprit lesions underwent intravascular ultrasound examination through which vessel area, lumen area and plaque area were evaluated. Expansive remodeling (lesion vessel area more than 5% greater than at the proximal reference segment) and constrictive remodeling (lesion vessel area more than 5% less than at the distal reference segment) were also evaluated. Insulin resistance was determined by homeostasis model assessment and defined as values above the 75th percentile (that is, 1.71).
  
  
  RESULTS
  Insulin-resistant patients numbered 23, while nonresistant patients numbered 67. Culprit lesions in the insulin-resistant group showed larger vessel area (18.16 +/- 6.94 compared with 13.64 +/- 4.28 mm, P = 0.0001) and plaque area (16.64 +/- 6.78 compared with 12.05 +/- 4.12 mm, P = 0.0001) and more frequently showed expansive remodeling (56% compared with 14%, P < 0.0001) and calcific plaque (33% compared with 12%, P = 0.01). Multivariable logistic regression analysis identified only insulin resistance (odds ratio, 4.9, P = 0.008) as an independent predictor of expansive remodeling.
  
  
  CONCLUSIONS
  Insulin resistance independently predicted expansive remodeling, underscoring the importance of insulin resistance in coronary atheroscrelosis.
authors.affiliation: Third Department of Internal Medicine, Ohashi Hospital, Toho University School of Medicine, Tokyo, Japan. gussho@ma8.seikyou.ne.jp
authors.forename: Takashi
authors.initials: T
authors.lastname: Yoshitama
authors.forename: Masato
authors.initials: M
authors.lastname: Nakamura
authors.forename: Taro
authors.initials: T
authors.lastname: Tsunoda
authors.forename: Yoko
authors.initials: Y
authors.lastname: Kitagawa
authors.forename: Masanori
authors.initials: M
authors.lastname: Shiba
authors.forename: Suguru
authors.initials: S
authors.lastname: Yajima
authors.forename: Masamichi
authors.initials: M
authors.lastname: Wada
authors.forename: Raisuke
authors.initials: R
authors.lastname: Iijima
authors.forename: Rintaro
authors.initials: R
authors.lastname: Nakajima
authors.forename: Takuro
authors.initials: T
authors.lastname: Takagi
authors.forename: Hitoshi
authors.initials: H
authors.lastname: Anzai
authors.forename: Takahiro
authors.initials: T
authors.lastname: Nishida
authors.forename: Tetsu
authors.initials: T
authors.lastname: Yamaguchi
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016009:Chi-Square Distribution; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging / Q000209:etiology* / Q000503:physiopathology; D005260:Female; D006801:Humans; D007333:Insulin Resistance; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D018709:Statistics, Nonparametric; D018084:Ultrasonography, Interventional