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Relationship between Cystatin C, Retinol-binding Protein 4 and Framingham Risk Score in Healthy Postmenopausal Women

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Authors
Klisić, Aleksandra
Kotur-Stevuljević, Jelena
Kavarić, Nebojša
Matić, Marija
Article (Published version)
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Abstract
Background: We alined to examine the relationship between high levels of cystatin C, retinol-binding protein 4 (RBP4) and cardiovascular risk score [determined by Framingham Risk Score (FRS)] in postmenopausal women. Methods: A total 01 apparently healthy 129 postmenopausal Women (mean age 57.1 +/- 4.6 years) were included. Serum cystatin C, RBP4, glucose, lipid parameters, creatinine, uric acid and high sensitivity C-reactive protein (hsCRP) were determined. Anthropometric parameters and blood pressure were also obtained. FRS was calculated. Multiple linear regression analysis (MLR) was performed to identify independent factors affecting FRS and to estimate the final predictors of its variability. Receiver Operating Characteristic (ROC) curve analysis was used with the purpose of testing discriminatory potential of a group of parameters selected in MLR analysis, with FRS level as dependent variable. Results: We found Significantly higher levels of both proteins, cystatin C (P = 0.001)... and RBP4 (P = 0.006), in the FRS higher (medium and high) risk groups (FRS >= 10%) compared to low risk FRS group (FRS lt 10%). MLR revealed the best model consisting of 4 parameters (e.g., body mass indek (BMI) (P lt 0.001), triglycerides (TG) (P = 0.004), RBP4 (P = 0.021), and cystatin C (P = 0.046), R-2-adjusted = 0.347) for FRS prediction. Cbnstruction of a model consisted of those 4 FRS formula independent parameters (BMI, TG, cystatin C and RBP4) using logistic regression analysis showed that new ROC curve had excellent discriminatory capability (area under the curve = 0.820). Conclusion: High cystatin C and retinol-binding protein 4 may contribute significantly to cardiovascular risk burden in addition to traditional cardiovascular markets.

Keywords:
Cystatin C / Framingham risk score / Postmenopausal women / Retinol-binding protein 4
Source:
Archives of Iranian Medicine, 2016, 19, 12, 845-851
Publisher:
  • Acad Medical Sciences I R Iran, Tehran

ISSN: 1029-2977

PubMed: 27998159

WoS: 000393635800004

Scopus: 2-s2.0-85006854977
[ Google Scholar ]
7
5
Handle
https://hdl.handle.net/21.15107/rcub_farfar_2640
URI
https://farfar.pharmacy.bg.ac.rs/handle/123456789/2640
Collections
  • Radovi istraživača / Researchers’ publications
Institution/Community
Pharmacy
TY  - JOUR
AU  - Klisić, Aleksandra
AU  - Kotur-Stevuljević, Jelena
AU  - Kavarić, Nebojša
AU  - Matić, Marija
PY  - 2016
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2640
AB  - Background: We alined to examine the relationship between high levels of cystatin C, retinol-binding protein 4 (RBP4) and cardiovascular risk score [determined by Framingham Risk Score (FRS)] in postmenopausal women. Methods: A total 01 apparently healthy 129 postmenopausal Women (mean age 57.1 +/- 4.6 years) were included. Serum cystatin C, RBP4, glucose, lipid parameters, creatinine, uric acid and high sensitivity C-reactive protein (hsCRP) were determined. Anthropometric parameters and blood pressure were also obtained. FRS was calculated. Multiple linear regression analysis (MLR) was performed to identify independent factors affecting FRS and to estimate the final predictors of its variability. Receiver Operating Characteristic (ROC) curve analysis was used with the purpose of testing discriminatory potential of a group of parameters selected in MLR analysis, with FRS level as dependent variable. Results: We found Significantly higher levels of both proteins, cystatin C (P = 0.001) and RBP4 (P = 0.006), in the FRS higher (medium and high) risk groups (FRS >= 10%) compared to low risk FRS group (FRS  lt  10%). MLR revealed the best model consisting of 4 parameters (e.g., body mass indek (BMI) (P  lt  0.001), triglycerides (TG) (P = 0.004), RBP4 (P = 0.021), and cystatin C (P = 0.046), R-2-adjusted = 0.347) for FRS prediction. Cbnstruction of a model consisted of those 4 FRS formula independent parameters (BMI, TG, cystatin C and RBP4) using logistic regression analysis showed that new ROC curve had excellent discriminatory capability (area under the curve = 0.820). Conclusion: High cystatin C and retinol-binding protein 4 may contribute significantly to cardiovascular risk burden in addition to traditional cardiovascular markets.
PB  - Acad Medical Sciences I R Iran, Tehran
T2  - Archives of Iranian Medicine
T1  - Relationship between Cystatin C, Retinol-binding Protein 4 and Framingham Risk Score in Healthy Postmenopausal Women
VL  - 19
IS  - 12
SP  - 845
EP  - 851
UR  - https://hdl.handle.net/21.15107/rcub_farfar_2640
ER  - 
@article{
author = "Klisić, Aleksandra and Kotur-Stevuljević, Jelena and Kavarić, Nebojša and Matić, Marija",
year = "2016",
abstract = "Background: We alined to examine the relationship between high levels of cystatin C, retinol-binding protein 4 (RBP4) and cardiovascular risk score [determined by Framingham Risk Score (FRS)] in postmenopausal women. Methods: A total 01 apparently healthy 129 postmenopausal Women (mean age 57.1 +/- 4.6 years) were included. Serum cystatin C, RBP4, glucose, lipid parameters, creatinine, uric acid and high sensitivity C-reactive protein (hsCRP) were determined. Anthropometric parameters and blood pressure were also obtained. FRS was calculated. Multiple linear regression analysis (MLR) was performed to identify independent factors affecting FRS and to estimate the final predictors of its variability. Receiver Operating Characteristic (ROC) curve analysis was used with the purpose of testing discriminatory potential of a group of parameters selected in MLR analysis, with FRS level as dependent variable. Results: We found Significantly higher levels of both proteins, cystatin C (P = 0.001) and RBP4 (P = 0.006), in the FRS higher (medium and high) risk groups (FRS >= 10%) compared to low risk FRS group (FRS  lt  10%). MLR revealed the best model consisting of 4 parameters (e.g., body mass indek (BMI) (P  lt  0.001), triglycerides (TG) (P = 0.004), RBP4 (P = 0.021), and cystatin C (P = 0.046), R-2-adjusted = 0.347) for FRS prediction. Cbnstruction of a model consisted of those 4 FRS formula independent parameters (BMI, TG, cystatin C and RBP4) using logistic regression analysis showed that new ROC curve had excellent discriminatory capability (area under the curve = 0.820). Conclusion: High cystatin C and retinol-binding protein 4 may contribute significantly to cardiovascular risk burden in addition to traditional cardiovascular markets.",
publisher = "Acad Medical Sciences I R Iran, Tehran",
journal = "Archives of Iranian Medicine",
title = "Relationship between Cystatin C, Retinol-binding Protein 4 and Framingham Risk Score in Healthy Postmenopausal Women",
volume = "19",
number = "12",
pages = "845-851",
url = "https://hdl.handle.net/21.15107/rcub_farfar_2640"
}
Klisić, A., Kotur-Stevuljević, J., Kavarić, N.,& Matić, M.. (2016). Relationship between Cystatin C, Retinol-binding Protein 4 and Framingham Risk Score in Healthy Postmenopausal Women. in Archives of Iranian Medicine
Acad Medical Sciences I R Iran, Tehran., 19(12), 845-851.
https://hdl.handle.net/21.15107/rcub_farfar_2640
Klisić A, Kotur-Stevuljević J, Kavarić N, Matić M. Relationship between Cystatin C, Retinol-binding Protein 4 and Framingham Risk Score in Healthy Postmenopausal Women. in Archives of Iranian Medicine. 2016;19(12):845-851.
https://hdl.handle.net/21.15107/rcub_farfar_2640 .
Klisić, Aleksandra, Kotur-Stevuljević, Jelena, Kavarić, Nebojša, Matić, Marija, "Relationship between Cystatin C, Retinol-binding Protein 4 and Framingham Risk Score in Healthy Postmenopausal Women" in Archives of Iranian Medicine, 19, no. 12 (2016):845-851,
https://hdl.handle.net/21.15107/rcub_farfar_2640 .

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