MISC

2016年

Predominance of Abdominal Visceral Adipose Tissue Reflects the Presence of Aortic Valve Calcification

BIOMED RESEARCH INTERNATIONAL
  • Masayoshi Oikawa
  • Takashi Owada
  • Hiroyuki Yamauchi
  • Tomofumi Misaka
  • Hirofumi Machii
  • Takayoshi Yamaki
  • Koichi Sugimoto
  • Hiroyuki Kunii
  • Kazuhiko Nakazato
  • Hitoshi Suzuki
  • Shu-ichi Saitoh
  • Yasuchika Takeishi
  • 全て表示

2016
開始ページ
2174657
終了ページ
記述言語
英語
掲載種別
DOI
10.1155/2016/2174657
出版者・発行元
HINDAWI PUBLISHING CORP

Background. Aortic valve calcification (AVC) is a common feature of aging and is related to coronary artery disease. Although abdominal visceral adipose tissue (VAT) plays fundamental roles in coronary artery disease, the relationship between abdominal VAT and AVC is not fully understood. Methods. We investigated 259 patients who underwent cardiac and abdominal computed tomography (CT). AVC was defined as calcified lesion on the aortic valve by CT. % abdominal VAT was calculated as abdominal VAT area/total adipose tissue area. Results. AVC was detected in 75 patients, and these patients showed higher % abdominal VAT (44% versus 38%, p < 0.05) compared to those without AVC. When the cutoff value of % abdominal VAT was set at 40.9%, the area under the curve to diagnose AVC was 0.626. Multivariable logistic regression analysis showed that age (OR 1.120, 95% CI 1.078-1.168, p < 0.01), diabetes (OR 2.587, 95% CI 1.323-5.130, p < 0.01), and % abdominal VAT (OR 1.032, 95% CI 1.003-1.065, p < 0.05) were independent risk factors for AVC. The net reclassification improvement value for detecting AVC was increased when % abdominal VAT was added to the model: 0.5093 (95% CI 0.2489-0.7697, p < 0.01). Conclusion. We determined that predominance of VAT is associated with AVC.

リンク情報
DOI
https://doi.org/10.1155/2016/2174657
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000369649900001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1155/2016/2174657
  • ISSN : 2314-6133
  • eISSN : 2314-6141
  • Web of Science ID : WOS:000369649900001

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