Zvrko, Elvir

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  • Zvrko, Elvir (4)
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Author's Bibliography

Cardiovascular risk assessed by reynolds risk score in relation to waist circumference in apparently healthy middle-aged population in Montenegro

Klisić, Aleksandra; Kavarić, Nebojša; Bjelaković, Bojko; Jovanović, Milovan; Zvrko, Elvir; Stanišić, Verica; Ninić, Ana; Šćepanović, Anđelka

(Sestre Milosrdnice Univ Hospital, Zagreb, 2018)

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 . .
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Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus

Klisić, Aleksandra; Isaković, Aleksandra; Kocić, Gordana; Kavarić, Nebojša; Jovanović, Milovan; Zvrko, Elvir; Skerović, Verica; Ninić, Ana

(Johann Ambrosius Barth Verlag Medizinverlage Heidelberg Gmbh, Stuttgart, 2018)

TY  - JOUR
AU  - Klisić, Aleksandra
AU  - Isaković, Aleksandra
AU  - Kocić, Gordana
AU  - Kavarić, Nebojša
AU  - Jovanović, Milovan
AU  - Zvrko, Elvir
AU  - Skerović, Verica
AU  - Ninić, Ana
PY  - 2018
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3233
AB  - Introduction/Aim Considering the high prevalence of nonalcoholic fatty liver disease (NAFLD) in individuals with type 2 diabetes mellitus (DM2), we aimed to investigate the potential benefit of determining markers of oxidative stress, inflammation and dyslipidemia for prediction of NAFLD, as estimated with fatty liver index (FLI) in individuals with DM2. Methods A total of 139 individuals with DM2 (of them 49.9 % females) were enrolled in cross-sectional study. Anthropometric and biochemical parameters, as well as blood pressure were obtained. A FLI was calculated. Results Multivariate logistic regression analysis showed that high density lipoprotein cholesterol (HDL-c) and malondialdehyde (MDA) were independent predictors of higher FLI [Odds ratio (OR) = 0.056, p = 0.029; and OR = 1.105, p = 0.016, respectively]. In Receiver Operating Characteristic curve analysis, the addition of fatty liver risk factors (e.g., age, gender, body height, smoking status, diabetes duration and drugs metabolized in liver) to each analysed biochemical parameter [HDL-c, non-HDL-c, high sensitivity C-reactive protein (hsCRP), MDA and advanced oxidant protein products (AOPP)] in Model 1, increased the ability to discriminate patients with and without fatty liver [Area under the curve (AUC) = 0.832, AUC = 0.808, AUC = 0.798, AUC = 0.824 and AUC = 0.743, respectively]. Model 2 (which included all five examined predictors, e.g., HDL-c, non-HDL-c, hsCRP, MDA, AOPP, and fatty liver risk factors) improved discriminative abilities for fatty liver status (AUC = 0.909). Even more, Model 2 had the highest sensitivity and specificity (89.3 % and 87.5 %, respectively) together than each predictor in Model 1. Conclusion Multimarker approach, including biomarkers of oxidative stress, dyslipidemia and inflammation, could be of benefit in identifying patients with diabetes being at high risk of fatty liver disease.
PB  - Johann Ambrosius Barth Verlag Medizinverlage Heidelberg Gmbh, Stuttgart
T2  - Experimental and Clinical Endocrinology & Diabetes
T1  - Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus
VL  - 126
IS  - 6
SP  - 371
EP  - 378
DO  - 10.1055/s-0043-118667
ER  - 
@article{
author = "Klisić, Aleksandra and Isaković, Aleksandra and Kocić, Gordana and Kavarić, Nebojša and Jovanović, Milovan and Zvrko, Elvir and Skerović, Verica and Ninić, Ana",
year = "2018",
abstract = "Introduction/Aim Considering the high prevalence of nonalcoholic fatty liver disease (NAFLD) in individuals with type 2 diabetes mellitus (DM2), we aimed to investigate the potential benefit of determining markers of oxidative stress, inflammation and dyslipidemia for prediction of NAFLD, as estimated with fatty liver index (FLI) in individuals with DM2. Methods A total of 139 individuals with DM2 (of them 49.9 % females) were enrolled in cross-sectional study. Anthropometric and biochemical parameters, as well as blood pressure were obtained. A FLI was calculated. Results Multivariate logistic regression analysis showed that high density lipoprotein cholesterol (HDL-c) and malondialdehyde (MDA) were independent predictors of higher FLI [Odds ratio (OR) = 0.056, p = 0.029; and OR = 1.105, p = 0.016, respectively]. In Receiver Operating Characteristic curve analysis, the addition of fatty liver risk factors (e.g., age, gender, body height, smoking status, diabetes duration and drugs metabolized in liver) to each analysed biochemical parameter [HDL-c, non-HDL-c, high sensitivity C-reactive protein (hsCRP), MDA and advanced oxidant protein products (AOPP)] in Model 1, increased the ability to discriminate patients with and without fatty liver [Area under the curve (AUC) = 0.832, AUC = 0.808, AUC = 0.798, AUC = 0.824 and AUC = 0.743, respectively]. Model 2 (which included all five examined predictors, e.g., HDL-c, non-HDL-c, hsCRP, MDA, AOPP, and fatty liver risk factors) improved discriminative abilities for fatty liver status (AUC = 0.909). Even more, Model 2 had the highest sensitivity and specificity (89.3 % and 87.5 %, respectively) together than each predictor in Model 1. Conclusion Multimarker approach, including biomarkers of oxidative stress, dyslipidemia and inflammation, could be of benefit in identifying patients with diabetes being at high risk of fatty liver disease.",
publisher = "Johann Ambrosius Barth Verlag Medizinverlage Heidelberg Gmbh, Stuttgart",
journal = "Experimental and Clinical Endocrinology & Diabetes",
title = "Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus",
volume = "126",
number = "6",
pages = "371-378",
doi = "10.1055/s-0043-118667"
}
Klisić, A., Isaković, A., Kocić, G., Kavarić, N., Jovanović, M., Zvrko, E., Skerović, V.,& Ninić, A.. (2018). Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus. in Experimental and Clinical Endocrinology & Diabetes
Johann Ambrosius Barth Verlag Medizinverlage Heidelberg Gmbh, Stuttgart., 126(6), 371-378.
https://doi.org/10.1055/s-0043-118667
Klisić A, Isaković A, Kocić G, Kavarić N, Jovanović M, Zvrko E, Skerović V, Ninić A. Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus. in Experimental and Clinical Endocrinology & Diabetes. 2018;126(6):371-378.
doi:10.1055/s-0043-118667 .
Klisić, Aleksandra, Isaković, Aleksandra, Kocić, Gordana, Kavarić, Nebojša, Jovanović, Milovan, Zvrko, Elvir, Skerović, Verica, Ninić, Ana, "Relationship between Oxidative Stress, Inflammation and Dyslipidemia with Fatty Liver Index in Patients with Type 2 Diabetes Mellitus" in Experimental and Clinical Endocrinology & Diabetes, 126, no. 6 (2018):371-378,
https://doi.org/10.1055/s-0043-118667 . .
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Visceral Adiposity Index is not Superior over Anthropometric Parameters with regards to Inflammation in Healthy Adolescent Girls

Klisić, Aleksandra; Kavarić, Nebojša; Bjelaković, Bojko; Zvrko, Elvir; Soldatović, Ivan; Kotur-Stevuljević, Jelena

(Univ Puerto Rico Medical Sciences Campus, San Juan, 2018)

TY  - JOUR
AU  - Klisić, Aleksandra
AU  - Kavarić, Nebojša
AU  - Bjelaković, Bojko
AU  - Zvrko, Elvir
AU  - Soldatović, Ivan
AU  - Kotur-Stevuljević, Jelena
PY  - 2018
UR  - https://farfar.pharmacy.bg.ac.rs/handle/123456789/3120
AB  - Objective: Better than simple anthropometric parameters, the visceral adiposity index (VAI) has recently been proposed as a predictor of cardiometabolic risk in adults. However, there are conflicting results on the associations of these parameters in children and adolescents. Therefore, we aimed to estimate this potential relationship between VAI, anthropometric parameters (i.e., body mass index [BMI], waist circumference [WC], and waist-to-height ratio [WHtR], respectively), and inflammation as measured by high-sensitivity C-reactive protein (hs-CRP) levels in a cohort of adolescent girls. Methods: A total of 90 adolescent girls from 16 to 19 years old were included in cross-sectional study. Anthropometric and biochemical parameters (glucose, lipid parameters, and hsCRP) were measured. The VAI, derived from anthropometric and lipid parameters, calculated {[WC/36.58 + (1.89 x BMI)] x (triglycerides/0.81) x (1.52/ HDL-cholesterol)} was calculated. Results: A comparison of the receiver operating characteristic (ROC) curves showed that all the curves for the anthropometric parameters (e.g., BMI, WC, WHtR) had excellent discriminatory capability with regard to inflammation level status (low vs. high level) and significantly larger areas under the curve (AUC = 0.885, AUC = 0.863, AUC = 0.860, respectively; P lt 0.001) than the ROC curve for VAI did (AUC = 0.686; P = 0.021). Conclusion: Visceral adiposity index is not superior over anthropometric parameters in relation to inflammation as measured by high sensitivity C-reactive protein in adolescent girls.
PB  - Univ Puerto Rico Medical Sciences Campus, San Juan
T2  - Puerto Rico Health Sciences Journal
T1  - Visceral Adiposity Index is not Superior over Anthropometric Parameters with regards to Inflammation in Healthy Adolescent Girls
VL  - 37
IS  - 4
SP  - 195
EP  - 199
UR  - https://hdl.handle.net/21.15107/rcub_farfar_3120
ER  - 
@article{
author = "Klisić, Aleksandra and Kavarić, Nebojša and Bjelaković, Bojko and Zvrko, Elvir and Soldatović, Ivan and Kotur-Stevuljević, Jelena",
year = "2018",
abstract = "Objective: Better than simple anthropometric parameters, the visceral adiposity index (VAI) has recently been proposed as a predictor of cardiometabolic risk in adults. However, there are conflicting results on the associations of these parameters in children and adolescents. Therefore, we aimed to estimate this potential relationship between VAI, anthropometric parameters (i.e., body mass index [BMI], waist circumference [WC], and waist-to-height ratio [WHtR], respectively), and inflammation as measured by high-sensitivity C-reactive protein (hs-CRP) levels in a cohort of adolescent girls. Methods: A total of 90 adolescent girls from 16 to 19 years old were included in cross-sectional study. Anthropometric and biochemical parameters (glucose, lipid parameters, and hsCRP) were measured. The VAI, derived from anthropometric and lipid parameters, calculated {[WC/36.58 + (1.89 x BMI)] x (triglycerides/0.81) x (1.52/ HDL-cholesterol)} was calculated. Results: A comparison of the receiver operating characteristic (ROC) curves showed that all the curves for the anthropometric parameters (e.g., BMI, WC, WHtR) had excellent discriminatory capability with regard to inflammation level status (low vs. high level) and significantly larger areas under the curve (AUC = 0.885, AUC = 0.863, AUC = 0.860, respectively; P lt 0.001) than the ROC curve for VAI did (AUC = 0.686; P = 0.021). Conclusion: Visceral adiposity index is not superior over anthropometric parameters in relation to inflammation as measured by high sensitivity C-reactive protein in adolescent girls.",
publisher = "Univ Puerto Rico Medical Sciences Campus, San Juan",
journal = "Puerto Rico Health Sciences Journal",
title = "Visceral Adiposity Index is not Superior over Anthropometric Parameters with regards to Inflammation in Healthy Adolescent Girls",
volume = "37",
number = "4",
pages = "195-199",
url = "https://hdl.handle.net/21.15107/rcub_farfar_3120"
}
Klisić, A., Kavarić, N., Bjelaković, B., Zvrko, E., Soldatović, I.,& Kotur-Stevuljević, J.. (2018). Visceral Adiposity Index is not Superior over Anthropometric Parameters with regards to Inflammation in Healthy Adolescent Girls. in Puerto Rico Health Sciences Journal
Univ Puerto Rico Medical Sciences Campus, San Juan., 37(4), 195-199.
https://hdl.handle.net/21.15107/rcub_farfar_3120
Klisić A, Kavarić N, Bjelaković B, Zvrko E, Soldatović I, Kotur-Stevuljević J. Visceral Adiposity Index is not Superior over Anthropometric Parameters with regards to Inflammation in Healthy Adolescent Girls. in Puerto Rico Health Sciences Journal. 2018;37(4):195-199.
https://hdl.handle.net/21.15107/rcub_farfar_3120 .
Klisić, Aleksandra, Kavarić, Nebojša, Bjelaković, Bojko, Zvrko, Elvir, Soldatović, Ivan, Kotur-Stevuljević, Jelena, "Visceral Adiposity Index is not Superior over Anthropometric Parameters with regards to Inflammation in Healthy Adolescent Girls" in Puerto Rico Health Sciences Journal, 37, no. 4 (2018):195-199,
https://hdl.handle.net/21.15107/rcub_farfar_3120 .
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1

Association between unfavorable lipid profile and glycemic control in patients with type 2 diabetes mellitus

Klisić, Aleksandra; Kavarić, Nebojša; Jovanović, Milovan; Zvrko, Elvir; Skerović, Verica; Šćepanović, Anđelka; Medin, Darko; Ninić, Ana

(Wolters Kluwer Medknow Publications, Mumbai, 2017)

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 . .
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