TY  - JOUR
AU  - Klisić, Aleksandra
AU  - Kavarić, Nebojša
AU  - Bjelaković, Bojko
AU  - Jovanović, Milovan
AU  - Zvrko, Elvir
AU  - Stanišić, Verica
AU  - Ninić, Ana
AU  - Šćepanović, Anđelka
PY  - 2018
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3239
AB  - Reynolds Risk Score (RRS) is regarded as a good screening tool for cardiovascular disease (CVD) risk. Since CVD is the leading cause of death in Montenegro, we aimed to assess the risk of CVD as assessed by RRS and to examine its association with cardiometabolic parameters in apparently healthy middle-aged population. In addition, we aimed to test whether obesity had an independent influence on RRS. A total of 132 participants (mean age 56.2 +/- 6.73 years, 69% females) were included. Body mass index (BMI), waist circumference (WC), blood pressure (BP) and biochemical parameters (fasting glucose, insulin, lipid parameters, creatinine and high sensitivity C-reactive protein) were determined. Insulin resistance (HOMA-IR) and glomerular filtration rate (eGFR) were calculated. Compared with females, a significantly higher number of males were in the high RRS subgroup (chi(2) =45.9, p lt 0.001). Furthermore, significantly higher fasting glucose (p=0.030), insulin, HOMA-IR, triglycerides (p lt 0.001 all), anthropometric parameters (e.g., BMI and WC; p=0.004 and p lt 0.001, respectively), and creatinine, but lower eGFR and HDL-c (p lt 0.001 both) were recorded in the high-risk subgroup compared with low and medium risk subgroups. In all participants, in addition to LDL-c, diastolic BP and creatinine, WC was independently positively associated with RRS (beta=0.194, p=0.006; lt b> beta=0186, p=0.001; beta=0167, p=0.001; and beta=0.305, p=0.019, respectively), and 40% of variation in RRS could be explained with this model. In conclusion, middle-aged population with higher WC should be screened for RRS in order to estimate CVD risk.
PB  - Sestre Milosrdnice Univ Hospital, Zagreb
T2  - Acta Clinica Croatica
T1  - Cardiovascular risk assessed by reynolds risk score in relation to waist circumference in apparently healthy middle-aged population in Montenegro
VL  - 57
IS  - 1
SP  - 22
EP  - 30
DO  - 10.20471/acc.2018.57.01.03
ER  - 

@article{
author = "Klisić, Aleksandra and Kavarić, Nebojša and Bjelaković, Bojko and Jovanović, Milovan and Zvrko, Elvir and Stanišić, Verica and Ninić, Ana and Šćepanović, Anđelka",
year = "2018",
abstract = "Reynolds Risk Score (RRS) is regarded as a good screening tool for cardiovascular disease (CVD) risk. Since CVD is the leading cause of death in Montenegro, we aimed to assess the risk of CVD as assessed by RRS and to examine its association with cardiometabolic parameters in apparently healthy middle-aged population. In addition, we aimed to test whether obesity had an independent influence on RRS. A total of 132 participants (mean age 56.2 +/- 6.73 years, 69% females) were included. Body mass index (BMI), waist circumference (WC), blood pressure (BP) and biochemical parameters (fasting glucose, insulin, lipid parameters, creatinine and high sensitivity C-reactive protein) were determined. Insulin resistance (HOMA-IR) and glomerular filtration rate (eGFR) were calculated. Compared with females, a significantly higher number of males were in the high RRS subgroup (chi(2) =45.9, p lt 0.001). Furthermore, significantly higher fasting glucose (p=0.030), insulin, HOMA-IR, triglycerides (p lt 0.001 all), anthropometric parameters (e.g., BMI and WC; p=0.004 and p lt 0.001, respectively), and creatinine, but lower eGFR and HDL-c (p lt 0.001 both) were recorded in the high-risk subgroup compared with low and medium risk subgroups. In all participants, in addition to LDL-c, diastolic BP and creatinine, WC was independently positively associated with RRS (beta=0.194, p=0.006; lt b> beta=0186, p=0.001; beta=0167, p=0.001; and beta=0.305, p=0.019, respectively), and 40% of variation in RRS could be explained with this model. In conclusion, middle-aged population with higher WC should be screened for RRS in order to estimate CVD risk.",
publisher = "Sestre Milosrdnice Univ Hospital, Zagreb",
journal = "Acta Clinica Croatica",
title = "Cardiovascular risk assessed by reynolds risk score in relation to waist circumference in apparently healthy middle-aged population in Montenegro",
volume = "57",
number = "1",
pages = "22-30",
doi = "10.20471/acc.2018.57.01.03"
}

Klisić, A., Kavarić, N., Bjelaković, B., Jovanović, M., Zvrko, E., Stanišić, V., Ninić, A.,& Šćepanović, A.. (2018). Cardiovascular risk assessed by reynolds risk score in relation to waist circumference in apparently healthy middle-aged population in Montenegro. in Acta Clinica Croatica
Sestre Milosrdnice Univ Hospital, Zagreb., 57(1), 22-30.
https://doi.org/10.20471/acc.2018.57.01.03

Klisić A, Kavarić N, Bjelaković B, Jovanović M, Zvrko E, Stanišić V, Ninić A, Šćepanović A. Cardiovascular risk assessed by reynolds risk score in relation to waist circumference in apparently healthy middle-aged population in Montenegro. in Acta Clinica Croatica. 2018;57(1):22-30.
doi:10.20471/acc.2018.57.01.03 .

Klisić, Aleksandra, Kavarić, Nebojša, Bjelaković, Bojko, Jovanović, Milovan, Zvrko, Elvir, Stanišić, Verica, Ninić, Ana, Šćepanović, Anđelka, "Cardiovascular risk assessed by reynolds risk score in relation to waist circumference in apparently healthy middle-aged population in Montenegro" in Acta Clinica Croatica, 57, no. 1 (2018):22-30,
https://doi.org/10.20471/acc.2018.57.01.03 . .

TY  - JOUR
AU  - Klisić, Aleksandra
AU  - Kavarić, Nebojša
AU  - Jovanović, Milovan
AU  - Zvrko, Elvir
AU  - Skerović, Verica
AU  - Šćepanović, Anđelka
AU  - Medin, Darko
AU  - Ninić, Ana
PY  - 2017
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/2835
AB  - Background: Recent studies hypothesize that dyslipidemia can predict glycated hemoglobin (HbA1c) and could be important contributing factor to the pathogenesis of type 2 diabetes mellitus (DM2). Therefore, we aimed to evaluate the influence of lipid parameters on long-term glycemic control in DM2. Materials and Methods: A total of 275 sedentary DM2 (mean [+/- standard deviation] age 60.6 [+/- 10.0] years) who volunteered to participate in this cross-sectional study were enrolled. Anthropometric (body weight, body hight, and waist circumference), biochemical parameters (fasting glucose, HbA1c, lipid parameters, creatinine), as well as blood pressure were obtained. Results: Total cholesterol (odds ratio [OR] = 1.30, 95% confidence interval [CI] [1.02-1.66], P = 0.032), triglycerides (OR = 1.34, 95% CI (1.07-1.67), P = 0.010), and low density lipoprotein cholesterol (OR = 1.42, 95% CI [1.10-1.83], P = 0.006) were the independent predictors of higher HBA1c, and as they increased by 1 mmol/L each, probabilities of higher HBA1c increased by 30%, 34%, and 42%, respectively. Low level of high-density lipoprotein cholesterol (HDL-c) was found to be the independent predictor of higher HBA1c (OR = 0.44, 95% CI [0.20-0.67], P = 0.039), and increase in HDL-c by 1 mmol/L, reduced the probability of higher HBA1c by 56%. Conclusion: Unfavorable lipid profile can predict HbA1c level in DM2 patients. Early diagnosis of dyslipidemia, as well as its monitoring and maintaining good lipids control can be used as a preventive measure for optimal long-term glycemic control.
PB  - Wolters Kluwer Medknow Publications, Mumbai
T2  - Journal of Research in Medical Sciences
T1  - Association between unfavorable lipid profile and glycemic control in patients with type 2 diabetes mellitus
VL  - 22
DO  - 10.4103/jrms.JRMS_284_17
ER  - 

@article{
author = "Klisić, Aleksandra and Kavarić, Nebojša and Jovanović, Milovan and Zvrko, Elvir and Skerović, Verica and Šćepanović, Anđelka and Medin, Darko and Ninić, Ana",
year = "2017",
abstract = "Background: Recent studies hypothesize that dyslipidemia can predict glycated hemoglobin (HbA1c) and could be important contributing factor to the pathogenesis of type 2 diabetes mellitus (DM2). Therefore, we aimed to evaluate the influence of lipid parameters on long-term glycemic control in DM2. Materials and Methods: A total of 275 sedentary DM2 (mean [+/- standard deviation] age 60.6 [+/- 10.0] years) who volunteered to participate in this cross-sectional study were enrolled. Anthropometric (body weight, body hight, and waist circumference), biochemical parameters (fasting glucose, HbA1c, lipid parameters, creatinine), as well as blood pressure were obtained. Results: Total cholesterol (odds ratio [OR] = 1.30, 95% confidence interval [CI] [1.02-1.66], P = 0.032), triglycerides (OR = 1.34, 95% CI (1.07-1.67), P = 0.010), and low density lipoprotein cholesterol (OR = 1.42, 95% CI [1.10-1.83], P = 0.006) were the independent predictors of higher HBA1c, and as they increased by 1 mmol/L each, probabilities of higher HBA1c increased by 30%, 34%, and 42%, respectively. Low level of high-density lipoprotein cholesterol (HDL-c) was found to be the independent predictor of higher HBA1c (OR = 0.44, 95% CI [0.20-0.67], P = 0.039), and increase in HDL-c by 1 mmol/L, reduced the probability of higher HBA1c by 56%. Conclusion: Unfavorable lipid profile can predict HbA1c level in DM2 patients. Early diagnosis of dyslipidemia, as well as its monitoring and maintaining good lipids control can be used as a preventive measure for optimal long-term glycemic control.",
publisher = "Wolters Kluwer Medknow Publications, Mumbai",
journal = "Journal of Research in Medical Sciences",
title = "Association between unfavorable lipid profile and glycemic control in patients with type 2 diabetes mellitus",
volume = "22",
doi = "10.4103/jrms.JRMS_284_17"
}

Klisić, A., Kavarić, N., Jovanović, M., Zvrko, E., Skerović, V., Šćepanović, A., Medin, D.,& Ninić, A.. (2017). Association between unfavorable lipid profile and glycemic control in patients with type 2 diabetes mellitus. in Journal of Research in Medical Sciences
Wolters Kluwer Medknow Publications, Mumbai., 22.
https://doi.org/10.4103/jrms.JRMS_284_17

Klisić A, Kavarić N, Jovanović M, Zvrko E, Skerović V, Šćepanović A, Medin D, Ninić A. Association between unfavorable lipid profile and glycemic control in patients with type 2 diabetes mellitus. in Journal of Research in Medical Sciences. 2017;22.
doi:10.4103/jrms.JRMS_284_17 .

Klisić, Aleksandra, Kavarić, Nebojša, Jovanović, Milovan, Zvrko, Elvir, Skerović, Verica, Šćepanović, Anđelka, Medin, Darko, Ninić, Ana, "Association between unfavorable lipid profile and glycemic control in patients with type 2 diabetes mellitus" in Journal of Research in Medical Sciences, 22 (2017),
https://doi.org/10.4103/jrms.JRMS_284_17 . .