کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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1971536 | 1538915 | 2007 | 7 صفحه PDF | دانلود رایگان |

Background:Many studies have investigated the clinical accuracy of single lipid and inflammatory markers. In contrast, few have evaluated their potential for the detection of CAD using a multi-marker approach.Methods:The concentrations of lipid, lipoproteins, apolipoproteins, high sensitivity C-reactive protein (hs-CRP) and fibrinogen were measured by standard laboratory methods. Apolipoprotein (a) [apo(a)] phenotyping was performed by sodium dodecylsulphate-gel electrophoresis and immunoblotting. The lipid tetrad index (LTI) and the lipid pentad index (LPI) were calculated. Clinical accuracy of the examined parameters, indexes and a logistic regression model was assessed using receiving operative characteristic (ROC) curve analysis.Results:Logistic regression analysis indicated that non-HDL-c, hs-CRP, HDL-c and Lp(a) were significant independent predictors for CAD. The AUC for this model (0.802) was higher than AUCs for any single marker or index tested.Conclusions:We conclude that the performance of a logistic regression model for CAD prediction warrants its use in clinical practice.
Journal: Clinical Biochemistry - Volume 40, Issues 13–14, September 2007, Pages 1000–1006