Factor analysis of risk variables associated with iron status in patients with coronary artery disease
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2014
Authors
Spasojević-Kalimanovska, Vesna
Bogavac-Stanojević, Nataša

Kalimanovska-Oštrić, Dimitra
Memon, Lidija

Spasić, Slavica
Kotur-Stevuljević, Jelena

Jelić-Ivanović, Zorana

Article (Published version)

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Objectives: Epidemiological evidence concerning the role of iron, a lipid peroxidation catalyst, in atherosclerosis and coronary artery disease (CAD) is inconsistent. Design and methods: Exploratory factor analysis was used to examine the potential clustering of variables known to be associated with CAD using data from 188 patients with angiographically-approved disease. The resulting factors were then tested for their association with serum ferritin and soluble transferrin receptor (sTfR) as indicators of body iron status. Results: Factor analysis resulted in a reduction of a variable number from the original 15 to 5 composite clusters. These factors were interpreted as (1) "proatherogenic factor" with positive loadings of TC, LDL-C, apoB and TG; (2) "inflammatory factor" with positive loadings of hsCRP, fibrinogen and MDA; (3) "antiatherogenic factor" with positive loadings of HDL-C and apoA-I; (4) "obesity factor" with positive loadings of weight and waist; and (5) "antioxidative st...atus factor" with positive loadings of SOD and age and negative loading of superoxide anion. "Inflammatory", "obesity" and "antiatherogenic" factors predicted high ferritin values and the "proatherogenic factor" predicted high sTfR values. We compared the ability of the "proatherogenic factor" with that of a multi-variable logistic model that included the "proatherogenic factor" and sTfR values in predicting significant stenosis in patients. The area under the ROC curve was 0.692 vs. 0.821, respectively. Conclusions: "Inflammatory", "obesity", "antiatherogenic" and "proatherogenic" factors were associated with increased parameters of body iron status. The measurement of sTfR improves the prediction of CAD based on clustered cardiovascular risk factors.
Keywords:
Coronary artery disease / Risk factors / Iron status parameters / Factor analysisSource:
Clinical Biochemistry, 2014, 47, 7-8, 564-569Publisher:
- Pergamon-Elsevier Science Ltd, Oxford
Funding / projects:
DOI: 10.1016/j.clinbiochem.2014.03.014
ISSN: 0009-9120
PubMed: 24690216
WoS: 000335905200011
Scopus: 2-s2.0-84900307408
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PharmacyTY - JOUR AU - Spasojević-Kalimanovska, Vesna AU - Bogavac-Stanojević, Nataša AU - Kalimanovska-Oštrić, Dimitra AU - Memon, Lidija AU - Spasić, Slavica AU - Kotur-Stevuljević, Jelena AU - Jelić-Ivanović, Zorana PY - 2014 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2236 AB - Objectives: Epidemiological evidence concerning the role of iron, a lipid peroxidation catalyst, in atherosclerosis and coronary artery disease (CAD) is inconsistent. Design and methods: Exploratory factor analysis was used to examine the potential clustering of variables known to be associated with CAD using data from 188 patients with angiographically-approved disease. The resulting factors were then tested for their association with serum ferritin and soluble transferrin receptor (sTfR) as indicators of body iron status. Results: Factor analysis resulted in a reduction of a variable number from the original 15 to 5 composite clusters. These factors were interpreted as (1) "proatherogenic factor" with positive loadings of TC, LDL-C, apoB and TG; (2) "inflammatory factor" with positive loadings of hsCRP, fibrinogen and MDA; (3) "antiatherogenic factor" with positive loadings of HDL-C and apoA-I; (4) "obesity factor" with positive loadings of weight and waist; and (5) "antioxidative status factor" with positive loadings of SOD and age and negative loading of superoxide anion. "Inflammatory", "obesity" and "antiatherogenic" factors predicted high ferritin values and the "proatherogenic factor" predicted high sTfR values. We compared the ability of the "proatherogenic factor" with that of a multi-variable logistic model that included the "proatherogenic factor" and sTfR values in predicting significant stenosis in patients. The area under the ROC curve was 0.692 vs. 0.821, respectively. Conclusions: "Inflammatory", "obesity", "antiatherogenic" and "proatherogenic" factors were associated with increased parameters of body iron status. The measurement of sTfR improves the prediction of CAD based on clustered cardiovascular risk factors. PB - Pergamon-Elsevier Science Ltd, Oxford T2 - Clinical Biochemistry T1 - Factor analysis of risk variables associated with iron status in patients with coronary artery disease VL - 47 IS - 7-8 SP - 564 EP - 569 DO - 10.1016/j.clinbiochem.2014.03.014 ER -
@article{ author = "Spasojević-Kalimanovska, Vesna and Bogavac-Stanojević, Nataša and Kalimanovska-Oštrić, Dimitra and Memon, Lidija and Spasić, Slavica and Kotur-Stevuljević, Jelena and Jelić-Ivanović, Zorana", year = "2014", abstract = "Objectives: Epidemiological evidence concerning the role of iron, a lipid peroxidation catalyst, in atherosclerosis and coronary artery disease (CAD) is inconsistent. Design and methods: Exploratory factor analysis was used to examine the potential clustering of variables known to be associated with CAD using data from 188 patients with angiographically-approved disease. The resulting factors were then tested for their association with serum ferritin and soluble transferrin receptor (sTfR) as indicators of body iron status. Results: Factor analysis resulted in a reduction of a variable number from the original 15 to 5 composite clusters. These factors were interpreted as (1) "proatherogenic factor" with positive loadings of TC, LDL-C, apoB and TG; (2) "inflammatory factor" with positive loadings of hsCRP, fibrinogen and MDA; (3) "antiatherogenic factor" with positive loadings of HDL-C and apoA-I; (4) "obesity factor" with positive loadings of weight and waist; and (5) "antioxidative status factor" with positive loadings of SOD and age and negative loading of superoxide anion. "Inflammatory", "obesity" and "antiatherogenic" factors predicted high ferritin values and the "proatherogenic factor" predicted high sTfR values. We compared the ability of the "proatherogenic factor" with that of a multi-variable logistic model that included the "proatherogenic factor" and sTfR values in predicting significant stenosis in patients. The area under the ROC curve was 0.692 vs. 0.821, respectively. Conclusions: "Inflammatory", "obesity", "antiatherogenic" and "proatherogenic" factors were associated with increased parameters of body iron status. The measurement of sTfR improves the prediction of CAD based on clustered cardiovascular risk factors.", publisher = "Pergamon-Elsevier Science Ltd, Oxford", journal = "Clinical Biochemistry", title = "Factor analysis of risk variables associated with iron status in patients with coronary artery disease", volume = "47", number = "7-8", pages = "564-569", doi = "10.1016/j.clinbiochem.2014.03.014" }
Spasojević-Kalimanovska, V., Bogavac-Stanojević, N., Kalimanovska-Oštrić, D., Memon, L., Spasić, S., Kotur-Stevuljević, J.,& Jelić-Ivanović, Z.. (2014). Factor analysis of risk variables associated with iron status in patients with coronary artery disease. in Clinical Biochemistry Pergamon-Elsevier Science Ltd, Oxford., 47(7-8), 564-569. https://doi.org/10.1016/j.clinbiochem.2014.03.014
Spasojević-Kalimanovska V, Bogavac-Stanojević N, Kalimanovska-Oštrić D, Memon L, Spasić S, Kotur-Stevuljević J, Jelić-Ivanović Z. Factor analysis of risk variables associated with iron status in patients with coronary artery disease. in Clinical Biochemistry. 2014;47(7-8):564-569. doi:10.1016/j.clinbiochem.2014.03.014 .
Spasojević-Kalimanovska, Vesna, Bogavac-Stanojević, Nataša, Kalimanovska-Oštrić, Dimitra, Memon, Lidija, Spasić, Slavica, Kotur-Stevuljević, Jelena, Jelić-Ivanović, Zorana, "Factor analysis of risk variables associated with iron status in patients with coronary artery disease" in Clinical Biochemistry, 47, no. 7-8 (2014):564-569, https://doi.org/10.1016/j.clinbiochem.2014.03.014 . .