Details

Autor(en) / Beteiligte

• Ueda, Yoko
• Shiga, Yuhei
• Idemoto, Yoshiaki
• Tashiro, Kohei
• Motozato, Kota
• Koyoshi, Rie
• Kuwano, Takashi
• Fujimi, Kanta
• Ogawa, Masahiro
• Saku, Keijiro
• Miura, Shin-ichiro

Titel

Association Between the Presence or Severity of Coronary Artery Disease and Pericardial Fat, Paracardial Fat, Epicardial Fat, Visceral Fat, and Subcutaneous Fat as Assessed by Multi-Detector Row Computed Tomography

Ist Teil von

• International Heart Journal, 2018/07/31, Vol.59(4), pp.695-704

Ort / Verlag

Tokyo: International Heart Journal Association

Erscheinungsjahr

2018

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• The associations between the presence or severity of coronary artery disease (CAD) and measurements of various kinds of fat as assessed by multidetector row computed tomography (MDCT) are unclear. We enrolled 300 patients who were clinically suspected to have CAD or who had at least one cardiac risk factor and had undergone MDCT. The number of significantly stenosed coronary vessels (VD), and measurements of pericardial fat index, paracardial fat index, epicardial fat index, visceral fat index, and subcutaneous fat index were quantified using MDCT. Plasma levels of adiponectin, pentaxin-3, and high-sensitivity C-reactive protein factors were also measured. Pericardial fat index, paracardial fat index, and visceral fat index in a CAD group were significantly greater than those in a non-CAD group. In addition, the levels of these fat indices tended to increase as the number of VD increased and were positively correlated with the Gensini score. The area-under-the-curve for paracardial fat index was significantly greater than those for the other parameters of fat index measured by a receiver-operating characteristic curve analysis. The cut-off level of paracardial fat index that gave the greatest sensitivity and specificity for the diagnosis of CAD was 54.9 cm3/m2 (sensitivity 0.710, specificity 0.552). The presence of CAD was independently associated with paracardial fat index, in addition to age and diabetes mellitus, by a multiple logistic regression analysis. In conclusion, paracardial fat index may be a marker for evaluating the presence or severity of CAD.