Literature DB >> 23076172

[Coronary plaques identified by coronary computed tomography angiography and the risk factors for major adverse cardiac events: a correlation analysis].

Bin He1, Luyue Gai, Jingjing Gai, Huaiyu Qiao, Shuoyang Zhang, Zhiwei Guan.   

Abstract

OBJECTIVE: To investigate the correlation between the findings by coronary computed tomography angiography (CCTA) and the risk factors for major adverse cardiac events (MACE).
METHODS: This cohort study involved 706 out-patients who received examination with CCTA between June, 2008 and April, 2011. The severity of coronary artery disease (CAD) was graded to normal, mild, moderate, severe, and revascularization. Pearson correlation analysis and ANOVA were used to evaluate the relationship between the risk factors for CAD and coronary plaques identified by CCTA, and the predictive accuracy was determined by the receiver-operating characteristic (ROC) curve.
RESULTS: Of the 706 patients, 58.63% were found to have abnormal CCTA findings. A older age, hypertension, hyperlipidemia, diabetes mellitus, cerebral infarction, CAD, and myocardial infarction were associated with an significantly increased incidence of coronary plaques (P<0.01). The Framingham score, LDL, HCY, IMT, HDL and TC were also significantly correlated with the severity of the coronary plaques (P<0.05). The ROC curves showed that Framingham risk score (0.845), Cr (0.766), HCY (0.697), IMT (0.693) and HDL (0.316) had greater predictive value for the occurrence of coronary plaques (P<0.001).
CONCLUSION: The Framingham risk score, Cr, HCY, IMT and HDL are validated by CCTA as the major coronary risk factors and can be used for screening of CAD.

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Year:  2012        PMID: 23076172

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  1 in total

1.  Prognostic Value of Gai's Plaque Score and Agatston Coronary Artery Calcium Score for Functionally Significant Coronary Artery Stenosis.

Authors:  Chuang Zhang; Shuang Yang; Lu-Yue Gai; Zhi-Qi Han; Qian Xin; Xiao-Bo Yang; Jun-Jie Yang; Qin-Hua Jin
Journal:  Chin Med J (Engl)       Date:  2016-12-05       Impact factor: 2.628

  1 in total

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