Lipid and inflammatory markers for the prediction of coronary artery disease: A multi-marker approach
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2007
Authors
Bogavac-Stanojević, Nataša
Jelić-Ivanović, Zorana

Spasojević-Kalimanovska, Vesna

Spasić, Slavica
Kalimanovska-Oštrić, Dimitra
Article (Published version)

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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.
Keywords:
apolipoprotein (a) / inflammatory markers / lipoprotein (a) / logistic regression model / receiver operating characteristic curveSource:
Clinical Biochemistry, 2007, 40, 13-14, 1000-1006Publisher:
- Pergamon-Elsevier Science Ltd, Oxford
Funding / projects:
DOI: 10.1016/j.clinbiochem.2007.05.012
ISSN: 0009-9120
PubMed: 17632095
WoS: 000249422200014
Scopus: 2-s2.0-34548152793
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PharmacyTY - 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 . .