BACKGROUND AND PURPOSE: The independent contribution of insulin resistance to atherosclerosis is still under debate. We compared associations of 2 different indices of insulin resistance, the Homeostasis Model Assessment (HOMA) index and kITT from a short insulin tolerance test with carotid atherosclerosis. METHODS: A total of 1771 middle-aged white patients were investigated. Intima media thickness (IMT) and extent of carotid atherosclerosis were quantified by ultrasound. HOMA was calculated and an insulin tolerance test was performed. RESULTS: HOMA and kITT were significant predictors for average carotid IMT (P<0.001). After adjustment for age and the components of the metabolic syndrome, HOMA still remained an independent predictor for IMT(avg) (P=0.02), whereas kITT failed to do so. HOMA and kITT were also predictive (P=0.004 and P=0.024) for carotid plaques and extent of carotid atherosclerosis (P<0.001). After adjustment for age and the components of the metabolic syndrome, neither HOMA nor kITT were independently predictive any more. CONCLUSIONS: Our results provide evidence that HOMA rather than kITT is associated with carotid atherosclerosis and that the association is largely explained by the clustered expression of the components of the metabolic syndrome.
BACKGROUND AND PURPOSE: The independent contribution of insulin resistance to atherosclerosis is still under debate. We compared associations of 2 different indices of insulin resistance, the Homeostasis Model Assessment (HOMA) index and kITT from a short insulin tolerance test with carotid atherosclerosis. METHODS: A total of 1771 middle-aged white patients were investigated. Intima media thickness (IMT) and extent of carotid atherosclerosis were quantified by ultrasound. HOMA was calculated and an insulin tolerance test was performed. RESULTS: HOMA and kITT were significant predictors for average carotid IMT (P<0.001). After adjustment for age and the components of the metabolic syndrome, HOMA still remained an independent predictor for IMT(avg) (P=0.02), whereas kITT failed to do so. HOMA and kITT were also predictive (P=0.004 and P=0.024) for carotid plaques and extent of carotid atherosclerosis (P<0.001). After adjustment for age and the components of the metabolic syndrome, neither HOMA nor kITT were independently predictive any more. CONCLUSIONS: Our results provide evidence that HOMA rather than kITT is associated with carotid atherosclerosis and that the association is largely explained by the clustered expression of the components of the metabolic syndrome.
Authors: Lynn M Wachtman; Joshua A Kramer; Andrew D Miller; Audra M Hachey; Elizabeth H Curran; Keith G Mansfield Journal: Obesity (Silver Spring) Date: 2010-12-16 Impact factor: 5.002
Authors: Matthias W Lorenz; Lu Gao; Kathrin Ziegelbauer; Giuseppe Danilo Norata; Jean Philippe Empana; Irene Schmidtmann; Hung-Ju Lin; Stela McLachlan; Lena Bokemark; Kimmo Ronkainen; Mauro Amato; Ulf Schminke; Sathanur R Srinivasan; Lars Lind; Shuhei Okazaki; Coen D A Stehouwer; Peter Willeit; Joseph F Polak; Helmuth Steinmetz; Dirk Sander; Holger Poppert; Moise Desvarieux; M Arfan Ikram; Stein Harald Johnsen; Daniel Staub; Cesare R Sirtori; Bernhard Iglseder; Oscar Beloqui; Gunnar Engström; Alfonso Friera; Francesco Rozza; Wuxiang Xie; Grace Parraga; Liliana Grigore; Matthieu Plichart; Stefan Blankenberg; Ta-Chen Su; Caroline Schmidt; Tomi-Pekka Tuomainen; Fabrizio Veglia; Henry Völzke; Giel Nijpels; Johann Willeit; Ralph L Sacco; Oscar H Franco; Heiko Uthoff; Bo Hedblad; Carmen Suarez; Raffaele Izzo; Dong Zhao; Thapat Wannarong; Alberico Catapano; Pierre Ducimetiere; Christine Espinola-Klein; Kuo-Liong Chien; Jackie F Price; Göran Bergström; Jussi Kauhanen; Elena Tremoli; Marcus Dörr; Gerald Berenson; Kazuo Kitagawa; Jacqueline M Dekker; Stefan Kiechl; Matthias Sitzer; Horst Bickel; Tatjana Rundek; Albert Hofman; Ellisiv B Mathiesen; Samuela Castelnuovo; Manuel F Landecho; Maria Rosvall; Rafael Gabriel; Nicola de Luca; Jing Liu; Damiano Baldassarre; Maryam Kavousi; Eric de Groot; Michiel L Bots; David N Yanez; Simon G Thompson Journal: PLoS One Date: 2018-04-12 Impact factor: 3.240