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.
TY - JOUR
AU - Bogavac-Stanojević, Nataša
AU - Jelić-Ivanović, Zorana
AU - Spasojević-Kalimanovska, Vesna
AU - Spasić, Slavica
AU - Kalimanovska-Oštrić, Dimitra
PY - 2007
UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/969
AB - 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.
PB - Pergamon-Elsevier Science Ltd, Oxford
T2 - Clinical Biochemistry
T1 - Lipid and inflammatory markers for the prediction of coronary artery disease: A multi-marker approach
VL - 40
IS - 13-14
SP - 1000
EP - 1006
DO - 10.1016/j.clinbiochem.2007.05.012
ER -
@article{
author = "Bogavac-Stanojević, Nataša and Jelić-Ivanović, Zorana and Spasojević-Kalimanovska, Vesna and Spasić, Slavica and Kalimanovska-Oštrić, Dimitra",
year = "2007",
abstract = "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.",
publisher = "Pergamon-Elsevier Science Ltd, Oxford",
journal = "Clinical Biochemistry",
title = "Lipid and inflammatory markers for the prediction of coronary artery disease: A multi-marker approach",
volume = "40",
number = "13-14",
pages = "1000-1006",
doi = "10.1016/j.clinbiochem.2007.05.012"
}
Bogavac-Stanojević, N., Jelić-Ivanović, Z., Spasojević-Kalimanovska, V., Spasić, S.,& Kalimanovska-Oštrić, D.. (2007). Lipid and inflammatory markers for the prediction of coronary artery disease: A multi-marker approach. in Clinical Biochemistry
Pergamon-Elsevier Science Ltd, Oxford., 40(13-14), 1000-1006.
https://doi.org/10.1016/j.clinbiochem.2007.05.012
Bogavac-Stanojević N, Jelić-Ivanović Z, Spasojević-Kalimanovska V, Spasić S, Kalimanovska-Oštrić D. Lipid and inflammatory markers for the prediction of coronary artery disease: A multi-marker approach. in Clinical Biochemistry. 2007;40(13-14):1000-1006.
doi:10.1016/j.clinbiochem.2007.05.012 .
Bogavac-Stanojević, Nataša, Jelić-Ivanović, Zorana, Spasojević-Kalimanovska, Vesna, Spasić, Slavica, Kalimanovska-Oštrić, Dimitra, "Lipid and inflammatory markers for the prediction of coronary artery disease: A multi-marker approach" in Clinical Biochemistry, 40, no. 13-14 (2007):1000-1006,
https://doi.org/10.1016/j.clinbiochem.2007.05.012 . .
