Abdominal aortic calcification quantified by the Morphological Atherosclerotic Calcification Distribution (MACD) index is associated with features of the metabolic syndrome

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• 作者：Natasha Barascuk (1)
  Melanie Ganz (1) (2)
  Mads Nielsen (1) (2)
  Thomas C Register (3)
  Lars M Rasmussen (4)
  Morten A Karsdal (1)
  Claus Christiansen (1)
  
• 关键词：Cardiovascular disease ; aortic calcification ; risk factors ; AAC24
• 刊名：BMC Cardiovascular Disorders
• 出版年：2011
• 出版时间：December 2011
• 年：2011
• 卷：11
• 期：1
• 全文大小：339KB
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  34. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2261/11/75/prepub
  
• 作者单位：Natasha Barascuk (1)
  Melanie Ganz (1) (2)
  Mads Nielsen (1) (2)
  Thomas C Register (3)
  Lars M Rasmussen (4)
  Morten A Karsdal (1)
  Claus Christiansen (1)
  
  1. Nordic Bioscience A/S, Herlev Hovedgade 207, 2730, Herlev, Denmark
  2. Department of Computer Sciences, University of Copenhagen, Universitetsparken 1, 2100, Copenhagen ?, Denmark
  3. Department of Physiology, Section on Comparative Medicine, Wake Forest University Medical School, NC, USA
  4. Department of Clinical Biochemistry, Odense University Hospital, University of Southern Denmark, 5000, Odense, Denmark
  

文摘

Background Abdominal aortic calcifications (AAC) predict cardiovascular mortality. A new scoring model for AAC, the Morphological Atherosclerotic Calcification Distribution (MACD) index may contribute with additional information to the commonly used Aortic Calcification Severity (AC24) score, when predicting death from cardiovascular disease (CVD). In this study we investigated associations of MACD and AC24 with traditional metabolic-syndrome associated risk factors at baseline and after 8.3 years follow-up, to identify biological parameters that may account for the differential performance of these indices. Methods Three hundred and eight healthy women aged 48 to 76 years, were followed for 8.3 ± 0.3 years. AAC was quantified using lumbar radiographs. Baseline data included age, weight, blood pressure, blood lipids, and glucose levels. Pearson correlation coefficients were used to test for relationships. Results At baseline and across all patients, MACD correlated with blood glucose (r2 = 0.1, P< 0.001) and to a lesser, but significant extent with traditional risk factors (p < 0.01) of CVD. In the longitudinal analysis of correlations between baseline biological parameters and the follow-up calcification assessment using radiographs we found LDL-cholesterol, HDL/LDL, and the ApoB/ApoA ratio significantly associated with the MACD (P< 0.01). In a subset of patients presenting with calcification at both baseline and at follow-up, all cholesterol levels were significantly associated with the MACD (P< 0.01) index. AC24 index was not correlated with blood parameters. Conclusion Patterns of calcification identified by the MACD, but not the AC24 index, appear to contain useful biological information perhaps explaining part of the improved identification of risk of cardiovascular death of the MACD index. Correlations of MACD but not the AC24 with glucose levels at baseline suggest that hyperglycemia may contribute to unique patterns of calcification indicated by the MACD.