Carotid Artery Plaque and LDL-to-HDL Cholesterol Ratio Predict Atherosclerotic Status in Coronary Arteries in Asymptomatic Patients with Type 2 Diabetes Mellitus

DOI PubMed 6 Citations 41 References Open Access
  • Fujihara Kazuya
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Suzuki Hiroaki
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Sato Akira
    Division of Cardiology, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Kodama Satoru
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Heianza Yoriko
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Saito Kazumi
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Iwasaki Hitoshi
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Kobayashi Kazuto
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Yatoh Shigeru
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Takahashi Akimitsu
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Yamada Nobuhiro
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Sone Hirohito
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.
  • Shimano Hitoshi
    Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, University of Tsukuba.

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Aims: To investigate the clinical predictors of coronary atherosclerosis and to assess the utility of maximum-IMT for predicting coronary atherosclerosis in asymptomatic type 2 diabetic patients.<BR>Methods: One hundred one Japanese patients with type 2 diabetes underwent computed tomography coronary angiography. Definitions of coronary artery stenosis and vulnerable coronary plaque were luminal narrowing of ≥50% and any coronary plaque with positive vessel remodeling and low attenuation, respectively. Carotid intima-media thickness (IMT) was assessed using B-mode ultrasound.<BR>Results: Of the 101 patients, 40 had coronary artery stenosis without vulnerable coronary plaque, 7 had vulnerable coronary plaque without coronary artery stenosis, and 23 had coronary artery stenosis with vulnerable coronary plaque. Male sex (p=0.031), duration of diabetes (p=0.024), systolic blood pressure (SBP) (p=0.039), and the LDL/HDL ratio (LDL/HDL) (p=0.013) were independent predictors of coronary artery stenosis and the LDL/HDL (p=0.042) independently predicted vulnerable coronary plaque by logistic regression analyses. Areas under the curves in receiver operating characteristic curve analysis of the maximum-IMT, LDL/HDL, and these two parameters combined were 0.711 (95% CI 0.601-0.820), 0.618 (0.508-0.728), and 0.732 (0.632-0.831), respectively, for predicting coronary artery stenosis and 0.655 (0.537-0.773), 0.629 (0.504-0.754), and 0.710 (0.601-0.818), respectively, for predicting vulnerable coronary plaque.<BR>Conclusions: Male sex, duration of diabetes, elevated SBP, and LDL/HDL were independent predictors of coronary artery stenosis. LDL/HDL was an independent predictor of vulnerable coronary plaque. Maximum-IMT predicted both coronary stenosis and vulnerable coronary plaque. Adding LDL/HDL improved the prediction of coronary artery stenosis and vulnerable coronary plaque.

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Details 詳細情報について

  • CRID
    1390282679409127680
  • NII Article ID
    130004444680
  • DOI
    10.5551/jat.14977
  • COI
    1:STN:280:DC%2BC3szjvVKntA%3D%3D
  • ISSN
    18803873
    13403478
  • PubMed
    23363982
  • Text Lang
    en
  • Article Type
    journal article
  • Data Source
    • JaLC
    • Crossref
    • PubMed
    • CiNii Articles
    • OpenAIRE
  • Abstract License Flag
    Disallowed

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