Journal of Iranian Medical Council

Journal of Iranian Medical Council

Association between Non-Alcoholic Fatty Liver Disease and Carotid Intima-Media Thickness: A Clinical Investigation

Document Type : Original article

Authors
1 Department of Surgery, School of Medicine, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran
2 Department of Radiology, School of Medicine, Poursina Hospital, Guilan University of Medical Sciences, Rasht, Iran
3 Department of Biostatistics, School of Health, Road Trauma Research Center, Trauma Institute, Guilan University of Medical Sciences, Rasht, Iran
4 Department of Physiology, Razi Clinical Research Development Unit, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran
Abstract
Background: This study investigates the relationship between Non-Alcoholic Fatty Liver Disease (NAFLD) and Carotid Intima-Media Thickness (CIMT), a key indicator of cardiovascular risk. It aims to provide insights for developing strategies to address the growing impact of NAFLD on cardiovascular health.
Methods: This cross-sectional study included 138 participants, 69 with non-alcoholic fatty liver disease and 69 healthy controls aged 18–50. Data were collected from medical records, diagnostic tests, and liver and carotid ultrasounds. Statistical analysis was conducted using SPSS 27, employing the Mann-Whitney U test and Generalized Estimating Equation (GEE) model, with a significance level of p<0.05.
Results: The average age was 36.35 yr, mostly 30–39. The NAFLD patients were older, with higher overweight (20.6%) and smoking (47%) rates. They also had significantly higher carotid intima-media thickness.
Conclusion: This study highlights a significant link between NAFLD and CIMT. Patients with NAFLD had higher CIMT values than healthy controls. Factors like Body Mass Index (BMI), overweight status, smoking, and age also showed significant correlations with CIMT. These findings underscore the need for early detection and targeted interventions to reduce cardiovascular risks in NAFLD patients.
Keywords
Subjects

Abstract  
Background: This study investigates the relationship between Non-Alcoholic Fatty Liver Disease (NAFLD) and Carotid Intima-Media Thickness (CIMT), a key indicator of cardiovascular risk. It aims to provide insights for developing strategies to address the growing impact of NAFLD on cardiovascular health. 
Methods: This cross-sectional study included 138 participants, 69 with non-alcoholic fatty liver disease and 69 healthy controls aged 18–50. Data were collected from medical records, diagnostic tests, and liver and carotid ultrasounds. Statistical analysis was conducted using SPSS 27, employing the Mann-Whitney U test and Generalized Estimating Equation (GEE) model, with a significance level of p<0.05. 
Results: The average age was 36.35 yr, mostly 30–39. The NAFLD patients were older, with higher overweight (20.6%) and smoking (47%) rates. They also had significantly higher carotid intima-media thickness. 
Conclusion: This study highlights a significant link between NAFLD and CIMT. Patients with NAFLD had higher CIMT values than healthy controls. Factors like Body Mass Index (BMI), overweight status, smoking, and age also showed significant correlations with CIMT. These findings underscore the need for early detection and targeted interventions to reduce cardiovascular risks in NAFLD patients. 
Keywords: Atherosclerosis, CIMT, Metabolic syndrome, NAFLD 

Introduction  
Cardiovascular diseases, with atherosclerosis as a key cause, are leading global causes of death, and increased arterial wall thickness, measured by carotid ultrasound, is an indicator of subclinical atherosclerosis (1). This study examines the link between Non-Alcoholic Fatty Liver Disease (NAFLD) and Carotid Intima-Media Thickness (CIMT), considering factors like diabetes and hypertension (2). NAFLD has become a growing concern, with its prevalence rising from 2.9 in 2011 to 21.5% in 2013, likely due to lifestyle changes and improved diagnostic tools (3,4). Risk factors for NAFLD include obesity, insulin resistance, and metabolic syndrome (5-7). NAFLD is associated with obesity, cardiovascular disease, and type 2 diabetes, and its progression can lead to severe liver damage, such as cirrhosis and hepatocellular carcinoma (8,9). Ultrasound is a reliable, non-invasive screening tool for NAFLD. 
Recent studies suggest a connection between NAFLD and atherosclerosis, though results are inconsistent (10-12). Given the increasing prevalence of fatty liver and its impact on cardiovascular health, this study examines the independent relationship between fatty liver severity and CIMT (12-14). Cardiovascular diseases are recognized as one of the leading causes of death globally, with atherosclerosis being one of the main causes. 
Increased CIMT is an early sign of atherosclerosis and can serve as a predictive marker for assessing cardiovascular disease risk. Given the high prevalence of NAFLD and its association with metabolic disorders and atherosclerosis, understanding the impact of NAFLD on carotid thickness could play a significant role in the prevention and treatment of cardiovascular diseases. Since there have been limited independent studies on the relationship between NAFLD and CIMT in Guilan province and many other regions, this research can serve as an important step in examining this connection and providing preventive and therapeutic strategies to reduce the prevalence and impact of cardiovascular diseases caused by NAFLD. 

Materials and Methods
Study design and setting
This was a cross-sectional, comparative analytical study conducted at the Razi Educational and Medical Center, Rasht, Iran, in 2025.

Participants and sampling
A total of 138 participants were included, consisting of 69 patients diagnosed with NAFLD and 69 age- and sex-matched healthy controls. The patients were recruited consecutively among those referred to the hospital’s ultrasound unit. The sample size was determined with 95% confidence and 90% statistical power, based on the previous studies.

Inclusion and exclusion criteria
Inclusion criteria: Adults aged 18–60 yr with and without NAFLD confirmed by ultrasound, no history of significant alcohol consumption (less than 20 g/day).
Exclusion criteria: Patients with chronic liver disease of other etiology, diabetes mellitus, hypertension, cardiovascular disease, dyslipidemia, malignancy, cerebrovascular accidents, or other major comorbidities.

Data collection and measurements
Demographic data (age, sex), Body Mass Index (BMI) (calculated as weight in kg divided by height in m²), and smoking history were recorded. Liver enzymes (ALT and AST) were measured from recent laboratory tests. NAFLD diagnosis and grading were performed using abdominal ultrasound by an experienced radiologist (curvilinear probe). Grading was based on standard echogenicity criteria:
Grade 1: Mild diffuse increase in hepatic echogenicity, diaphragm and intrahepatic vessel borders visible.
Grade 2: Moderate increase, with slight impairment of visualization.
Grade 3: Marked increase, poor or no visualization of vessel borders and diaphragm.
CIMT was measured bilaterally on the common carotid arteries near the bifurcation using a linear probe (e.g., Mindray device). The distance between the intima–lumen and media–adventitia interfaces was recorded. Measurements were performed by a single trained radiologist blinded to patient status.

Statistical analysis
Statistical analyses were performed using SPSS version 27. Continuous variables were tested for normality with Kolmogorov–Smirnov and Shapiro–Wilk tests. Since CIMT did not follow a normal distribution, the Mann–Whitney U test was used to compare CIMT between the groups. Categorical variables were compared using Chi-square tests. Spearman’s correlation coefficient assessed associations between liver enzymes and CIMT. To adjust for potential confounding factors (age, BMI, gender, smoking status), a GEE model was applied. Statistical significance was set at p<0.05.

Ethical consideration
The study was approved by the Ethics Committee of Guilan University of Medical Sciences (IR.GUMS.REC.1403.200). Written informed consent was obtained from all the participants. Data were anonymized and kept confidential.

Results  
This chapter presents the results from the analysis of 138 participants (69 with NAFLD and 69 healthy controls) to assess the association between NAFLD and CIMT at Razi Educational and Medical Center, Rasht, Iran, in 2025. 
The demographic analysis revealed that the mean age of the participants was 36.35 yr (SD=9.02). The NAFLD group was significantly older and had a higher average BMI than the healthy controls (both p=0.001) (Table 1). However, multivariate analysis using GEE model showed that the association between NAFLD and increased CIMT remained statistically significant even after adjusting for age and BMI, indicating that these variables did not confound the primary relationship.

Table 1. Distribution of non-alcoholic fatty liver disease (NAFLD) by age, sex, BMI, and smoking history

Variable

NAFLD (+)
N

%

NAFLD (-)
N

%

Total
N

%

p-value

Age group

 

 

 

 

 

 

<0.001

20-29 yr

8

11.6%

25

36.2%

33

23.9%

30-39 yr

27

39.1%

31

44.9%

58

42.0%

40-49 yr

23

33.3%

13

18.8%

36

26.1%

50-60 yr

11

15.9%

0

0.0%

11

8.0%

Mean age (yr)

40.22

-

32.48

-

36.35

-

<0.001

SD

8.80

-

7.47

-

9.02

-

Minimum age

26

-

20

-

20

-

Maximum age

58

-

49

-

58

-

Sex

 

 

 

 

 

 

 

0.733

Male

35

50.7%

33

47.8%

68

49.3%

Female

34

49.3%

36

52.2%

70

50.7%

Body Mass Index (BMI)

 

 

 

 

 

 

<0.001

Under weight

0

0.0%

0

0.0%

0

0.0%

Normal weight

54

79.4%

67

97.1%

121

88.3%

Overweight

14

20.6%

2

2.9%

16

11.7%

Obese

0

0.0%

0

0.0%

0

0.0%

Smoking history

 

 

 

 

 

 

 

0.394

Yes

30

43.5%

35

50.7%

65

47.1%

No

39

56.5%

34

49.3%

73

52.9%

 

Table 2. Tests of normality for carotid thickness and liver enzymes in the two study groups

Study group/variable

Kolmogorov-smirnov
statistic

df

Sig.

Shapiro-wilk
statistic

df

Sig.

Case - right carotid thickness (mm)

0.196

70

0.000

0.873

70

0.000

Case - left carotid thickness (mm)

0.509

70

0.000

0.119

70

0.000

Case - ALT enzyme

0.166

70

0.000

0.869

70

0.000

Case - AST enzyme

0.173

70

0.000

0.855

70

0.000

Control - right carotid thickness (mm)

0.094

69

0.200*

0.958

69

0.021

Control - left carotid thickness (mm)

0.096

69

0.195

0.967

69

0.063

Control - ALT enzyme

0.13

69

0.005

0.827

69

0.000

Control - AST enzyme

0.18

69

0.000

0.817

69

0.000

Kolmogorov-Smirnov and Shapiro-Wilk tests for normality. * This is a lower bound of the true significance. a. Lilliefors Significance Correction.

 Gender distribution did not differ significantly between the two groups (p=0.733). Smoking history was more common in the NAFLD group (47%) but did not differ significantly (p=0.394). Carotid thickness showed a nonnormal distribution (p<0.001), leading to the use of non-parametric tests for further analysis (Table 2). A significant increase in carotid thickness was observed in the NAFLD group compared to the healthy controls (p<0.001) (Table 3). Carotid thickness was consistently higher in the NAFLD group across all the age and gender subgroups, with significant differences observed in most categories (p<0.05) (Table 4). Significant differences in carotid thickness were found between smokers and non-smokers in both groups (p=0.004 and p=0.001, respectively), as well as based on BMI. Notably, the NAFLD group with a normal BMI indicated a significant increase in carotid thickness (p<0.001), whereas there were no significant differences in overweight or obese individuals (Table 5). A strong positive correlation was found between ALT, AST, and carotid thickness in the entire sample (p<0.001), indicating a significant relationship between liver enzyme levels and carotid thickening (Table 6). The same correlation was evident in both NAFLD and healthy control groups, with statistically significant findings for both right and left carotid thickness (Table 7). The GEE analysis confirmed that NAFLD had a significant effect on carotid thickness, even after adjusting for confounding factors (Tables 8 and 9). 

Table 3. Comparison of right and left carotid thickness between the two study groups

 

Right carotid thickness (mm)

Left carotid thickness

(mm)

p-value

Non-alcoholic fatty liver disease

 

 

 

Yes

Count

69

69

 

 

 

 

0.670

Mean

0.65

0.65

Standard deviation

0.15

0.18

Median

0.58

0.60

Percentile 25

0.52

0.54

Percentile 75

0.79

0.78

 

 

No

Count

69

69

 

 

0.062

 

 

Mean

0.51

0.52

Standard deviation

0.80

0.07

Median

0.52

0.52

Percentile 25

0.45

0.46

Percentile 75

0.55

0.58

p-value

 

p<0.001

p<0.001

 

Mann-Whitney U test.

Table 4. Comparison of right and left carotid thickness between the two study groups by age group and gender

 

Right carotid thickness

(mm)

p-value

Left carotid thickness

(mm)

p-value

 

Non-alcoholic fatty liver disease

Non-alcoholic fatty liver disease

Age group (yrs)

20-29

 

Yes

No

0.108

Yes

No

0.194

Count

8

25

8

25

Mean

0.51

0.47

0.51

0.48

Standard deviation

0.05

0.04

0.07

0.05

Median

0.49

0.47

0.52

0.46

Percentile 25

0.48

0.43

0.47

0.45

Percentile 75

0.55

0.51

0.55

0.50

30-39

Count

27

31

0.019

27

31

0.034

Mean

0.59

0.52

0.60

0.53

Standard deviation

0.11

0.07

0.11

0.06

Median

0.54

0.52

0.57

0.53

Percentile 25

0.51

0.47

0.52

0.50

Percentile 75

0.64

0.55

0.64

0.58

40 and up

Count

34

13

0.019

 

34

13

0.014

Mean

0.74

0.60

0.72

0.5

Standard deviation

0.20

0.08

0.15

0.07

Median

0.73

0.62

0.77

0.60

Percentile 25

0.56

0.56

0.59

0.55

Percentile 75

0.90

0.64

0.85

0.65

Gender

Male

Count

35

33

0.004

35

33

0.001

Mean

0.67

0.54

0.66

0.56

Standard deviation

0.18

0.07

0.14

0.06

Median

0.60

0.54

0.63

0.56

Percentile 25

0.53

0.51

0.55

0.50

Percentile 75

0.81

0.61

0.80

0.60

Female

Count

34

36

 

 

-

 

 

34

36

0.001

Mean

0.63

0.49

0.63

0.49

Standard deviation

0.18

0.07

0.16

0.07

Median

0.55

0.48

0.57

0.48

Percentile 25

0.51

0.43

0.50

0.45

Percentile 75

0.73

0.52

0.78

0.54

 

Table 5. Comparison of right and left carotid thickness between the two study groups according to smoking and body mass index

 

Right carotid thickness (mm)

p-value

Left carotid thickness (mm)

p-value

Non-alcoholic fatty liver disease

Non-alcoholic fatty liver disease

Smoking history

Yes

 

Yes

No

0.004

 

Yes

No

0.003

Count

30

35

Count

30

35

Mean

0.68

0.54

Mean

0.66

0.55

Standard deviation

0.20

0.08

Standard deviation

0.15

0.07

Median

0.61

0.54

Median

0.62

0.56

Percentile 25

0.53

0.48

Percentile 25

0.55

0.50

Percentile 75

0.81

0.61

Percentile 75

0.78

0.60

No

Count

39

34

0.001

Count

39

34

0.001

Mean

0.63

0.49

Mean

0.64

0.50

Standard deviation

0.16

0.07

Standard deviation

0.16

0.07

Median

0.55

0.49

Median

0.58

0.49

Percentile 25

0.51

0.43

Percentile 25

0.51

0.45

Percentile 75

0.79

0.52

Percentile 75

0.80

0.55

Body mass index

Normal weight

Count

55

67

0.001

Count

55

67

 

 

0.001

Mean

0.63

0.51

Mean

0.62

0.52

Standard deviation

0.16

0.07

Standard deviation

0.14

0.07

Median

0.57

0.51

Median

0.59

0.51

Percentile 25

0.51

0.45

Percentile 25

0.53

0.46

Percentile 75

0.72

0.55

Percentile 75

0.74

0.57

Over

weight

Count

14

2

0.750

Count

14

2

0.689

Mean

0.75

0.67

Mean

0.74

0.66

Standard deviation

0.22

0.04

Standard deviation

0.18

0.01

Median

0.82

0.67

Median

0.80

0.66

Percentile 25

0.53

0.64

Percentile 25

0.57

0.65

Percentile 75

0.84

0.70

Percentile 75

0.90

067

 

Table 6. Correlation between right and left carotid thickness and liver enzymes ALT, AST in all the samples

Correlations

 

Liver enzyme ALT

Liver enzyme AST

Right carotid thickness (mm)

Left carotid thickness (mm)

Spearman’s rho

Liver enzyme ALT

rsp

1.000

-

-

p-value

<0.001

-

-

N

139

-

-

Liver enzyme AST

rsp

0.672

0.670

1.000

p-value

<0.001

-

-

N

139

139

-

Right carotid thickness (mm)

rsp

0.672

0.670

1.000

p-value

<0.001

<0.001

-

N

139

139

139

Left carotid thickness (mm)

rsp

0.699

0.698

0.894

p-value

<0.001

<0.001

<0.001

N

139

139

139

”rsp” = Spearman’s rho.

Table 7. Correlation between right and left carotid thickness and liver enzymes ALT, AST, separated into two groups

Correlations

 

Liver enzyme ALT

Liver enzyme AST

Right carotid thickness (mm)

Left carotid thickness (mm)

Spearman’s rho

Case group

 

Liver enzyme ALT

rsp

1.000

-

-

p-value

<0.001

-

-

N

70

-

-

Liver enzyme AST

rsp

0.962

1.000

-

p-value

<0.001

-

-

N

70

70

-

Right carotid thickness (mm)

rsp

0.511

0.512

1.000

p-value

<0.001

<0.001

-

N

70

70

70

Left carotid thickness (mm)

rsp

1.000

-

-

p-value

<0.001

<0.001

<0.001

N

69

-

-

Control group

Liver enzyme ALT

rsp

1.000

-

-

p-value

<0.001

-

-

N

69

-

-

Liver enzyme AST

rsp

0.959

1.000

-

p-value

<0.001

<0.001

-

N

69

69

-

Right carotid thickness (mm)

rsp

0.708

0.694

1.000

p-value

<0.001

<0.001

-

N

69

69

69

Left carotid thickness (mm)

rsp

0.753

0.741

0.843

p-value

<0.001

<0.001

<0.001

N

69

69

69

 

Table 8. Results of GEE analysis of the correlation between carotid thickness and non-alcoholic fatty liver disease, controlling for the effects of individual intervening variables

Parameter estimates

Parameter

B

Std. error

95% wald confidence interval

Hypothesis test

Lower

Upper

Wald chi-square

df

p-value

Intercept

0.315

0.381

0.240

0.390

348.68

1

<0.001

Nonalcoholic fatty liver disease

0.062

0.140

0.035

0.090

19.980

1

<0.001

No non-alcoholic fatty liver

a0

-

-

-

-

-

-

Normal body mass index

0.072

0.212

-0.114

-0.031

11.647

1

<0.001

Body mass index with overweight

a0

-

-

-

-

-

-

Male

0.15

0.135

-0.012

0.041

1.176

1

<0.001

Female

a0

-

-

-

-

-

 

Smoking

0.035

0.135

0.009

0.062

0.866

1

<0.001

No smoking

a0

-

-

-

-

-

 

Age

0.008

0.008

0.006

0.009

89.780

1

<0.001

B: Coefficient (Beta), a0: Reference Category, df: Degrees of Freedom.

Importantly, the GEE analysis confirmed that NAFLD had a significant and independent effect on increased CIMT after adjusting for potential confounders such as age, BMI, gender, and smoking status (Tables 8 and 9). While age contributed marginally and significantly to carotid thickness, BMI, particularly in the overweight category, demonstrated no statistically significant independent effect. These findings underscore the role of NAFLD as an independent predictor of subclinical atherosclerosis, regardless of age or body mass index.

Table 9. Comparison of right and left carotid Intima-media thickness based on fatty liver grade (with post hoc analysis)

Fatty liver grade

N

Right carotid thickness (mm)

Mean ± SD

Left carotid thickness (mm)

Mean ± SD

Post hoc comparison (Tukey)

No fatty liver

-

0.5300±0.4851

0.5294±0.4671

1<2, 1<3

Mild/Moderate NAFLD

-

0.6707±0.1743

0.6726±0.1494

2<3

Severe NAFLD

-

0.8156±0.2014

0.7867±0.1368

-

Total

-

0.6531±0.1771

0.6504±0.1511

-

p-value

-

<0.001 (significant)

<0.001 (significant)

-

Discussion 
This study was a cross-sectional, comparative analysis conducted to explore the relationship between NAFLD and CIMT in patients visiting the Razi Hospital in Rasht, Iran, in 2025. A total of 138 samples were used, including 69 patients with NAFLD and 69 healthy controls. The mean age of the participants was 36.35 yr with a standard deviation of 9.02 yr. The youngest participant was 20 yr old, and the oldest was 58. The majority of the participants were in the 30–39 age range. The NAFLD group had a higher mean age compared to the control group, with approximately equal gender distribution (50% male, 50% female). The NAFLD group had a higher percentage of overweight individuals (20.6 compared to 2.9%) and 47% of the patients were smokers.  There was a statistically significant difference in CIMT between the two groups, with the NAFLD group exhibiting higher median and mean CIMT values compared to the healthy controls. 
The median and mean CIMT values in the NAFLD group were higher across all the age and gender subgroups, and this difference was statistically significant in most subgroups. A significant relationship between CIMT and smoking status was observed, with smokers showing greater CIMT values than non-smokers in both groups. Regarding BMI, a significant difference was found only in those with a normal BMI, while in overweight individuals, although CIMT was higher in the NAFLD group, the difference was not statistically significant. Spearman’s correlation coefficient revealed a significant positive correlation between liver enzymes (ALT and AST) and CIMT, both in the right and left carotid arteries. This suggests a strong positive relationship between liver dysfunction and arterial thickness, supporting the systemic effects of NAFLD on vascular health. Multivariate analysis, controlling for confounders like smoking and BMI revealed that NAFLD was still significantly associated with increased CIMT. Normal BMI was significantly related to CIMT, whereas smoking and age also played an important role in influencing CIMT. 
These results align with previous studies such as Kumari et al, who found a significant correlation between CIMT and NAFLD, especially in patients with higher degrees of NAFLD (15). Similarly, Farcas et al demonstrated a link between CIMT and different obesity phenotypes, including those with NAFLD (16). Additionally, the study by Mohammadzadeh et al revealed that NAFLD was an independent risk factor for increased CIMT, even after adjusting for other cardiovascular risk factors (17). The results of current study are in line with the results of Khan et al who conducted a study aimed at determining the relationship between increased carotid intima-media thickness and non-alcoholic fatty liver disease. This study was conducted with a case-control design in the outpatient department of diagnostic radiology of a hospital in Islamabad and included all the patients referred to the radiology department. Ultrasound examination was performed to diagnose the presence of NAFLD. 
CIMT was measured in both groups of the patients with and without NAFLD. The increase in CIMT in patients and controls was 29 (18.7%) and 16 (10.3%), respectively, and their difference was statistically significant [(1.854-3.0377) 2.00, and OR=0.05> p-value]. Similar to the results, the researchers concluded that CIMT in the NAFLD group was significantly increased compared to the control groups (18).

Conclusion 
This study shows that the right and left carotid intima-media thickness is significantly higher in patients with NAFLD compared to healthy individuals. The mean and median CIMT values were greater in the NAFLD group across all age and gender subgroups. Additionally, BMI, overweight status, smoking, and age were found to correlate significantly with increased CIMT in both groups. 

Ethical approval 
This study was conducted by the ethical principles outlined in the Declaration of Helsinki. The Ethics Committee of Guilan University of Medical Sciences (IR.GUMS.REC.1403.200) reviewed and approved the research protocol and procedures involving human participants. These ethical guidelines protect the study participants’ rights, welfare, and well-being. 

Funding 
The author(s) received no specific funding for this work. 

Acknowledgement 
The authors would like to thank the Razi Clinical Research Development Unit. 

Conflict of Interest
There is no conflict of interest to declare. 

1. van den Oord SC, Sijbrands EJ, ten Kate GL, van Klaveren D, van Domburg RT, van der Steen AF, et al. Carotid intima-media thickness for cardiovascular risk assessment: systematic review and meta-analysis. Atherosclerosis 2013;228(1):1-11. https://pubmed.ncbi.nlm.nih.gov/23395523/
2. Rogha M, Najafi N, Azari A, Kaji M, Pourmoghaddas Z, Rajabi F, et al. Non-alcoholic steatohepatitis in a sample of iranian adult population: age is a risk factor. Int J Prev Med 2011;2(1):24. https://pubmed.ncbi.nlm.nih.gov/21448401/
3. Sohrabpour AA, Rezvan H, Amini-Kafiabad S, Dayhim M, Merat S, Pourshams A. Prevalence of nonalcoholic steatohepatitis in Iran: a population based study. Middle East J Dig Dis 2010;2(1):14. https://pubmed.ncbi.nlm.nih.gov/25197507/
4. Crabb DW, Galli A, Fischer M, You M. Molecular mechanisms of alcoholic fatty liver: role of peroxisome proliferator-activated receptor alpha. Alcohol 2004;34(1):35-8. https://pubmed.ncbi.nlm.nih.gov/15670663/
5. Machado M, Cortez-Pinto H. Non-alcoholic steatohepatitis and metabolic syndrome. Curr Opin Clin Nutr Metab Care 2006;9(5):637-42. https://pubmed.ncbi.nlm.nih.gov/16912563/
6. Angelico F, Del Ben M, Conti R, Francioso S, Feole K, Maccioni D, et al. Non-alcoholic fatty liver syndrome: a hepatic consequence of common metabolic diseases. J Gastroenterol Hepatol 2003;18(5):588-94. https://pubmed.ncbi.nlm.nih.gov/12702052/
7. Li H, Wang YJ, Tan K, Zeng L, Liu L, Liu FJ, et al. Prevalence and risk factors of fatty liver disease in Chengdu, Southwest China. Hepatobiliary Pancreat Dis Int 2009;8(4):377-82. https://pubmed.ncbi.nlm.nih.gov/19666406/
8. Goldner D, Lavine JE. Nonalcoholic fatty liver disease in children: unique considerations and challenges. Gastroenterology 2020;158(7):1967-83.e1. https://pubmed.ncbi.nlm.nih.gov/32201176/
9. McCullough AJ. Pathophysiology of nonalcoholic steatohepatitis. J Clin Gastroenterol 2006;40:S17-S29. https://pubmed.ncbi.nlm.nih.gov/16540762/
10. Targher G, Arcaro G. Non-alcoholic fatty liver disease and increased risk of cardiovascular disease. Atherosclerosis 2007;191(2):235-40. https://pubmed.ncbi.nlm.nih.gov/16970951/
11. HM P. Pediatric nonalcoholic fatty liver disease: A critical appraisal of current data and implications for future research. J Pediatr Gastroenterol Nutr 2006;43:413-27. https://pubmed.ncbi.nlm.nih.gov/17033514/
12. Dogru T, Genc H, Tapan S, Ercin CN, Ors F, Aslan F, et al. Elevated asymmetric dimethylarginine in plasma: an early marker for endothelial dysfunction in non-alcoholic fatty liver disease? Diabetes Res Clin Pract 2012;96(1):47-52. https://pubmed.ncbi.nlm.nih.gov/22189171/
13. Wanless IR, Lentz JS. Fatty liver hepatitis (steatohepatitis) and obesity: an autopsy study with analysis of risk factors. Hepatology 1990;12(5):1106-10. https://pubmed.ncbi.nlm.nih.gov/2227807/
14. Khoshbaten M, Maleki SH, Hadad S, Baral A, Rocha AV, Poudel L, et al. Association of nonalcoholic fatty liver disease and carotid media-intima thickness: a systematic review and a meta-analysis. Health Sci Rep 2023;6(9):e1554. https://pubmed.ncbi.nlm.nih.gov/37701352/
15. Kumari S, Porwal Y, Gupta R. Correlation Between Carotid Intima Media Thickness and Non-Alcoholic Fatty Liver Disease. J Assoc Phys India 2022;70(4):11-2.
16. Farcas AD, Vonica CL, Golea A. Non-alcoholic fatty liver disease, bulb carotid intima-media thickness and obesity phenotypes: results of a prospective observational study. Med Ultrason 2017;19(3):265-71. https://pubmed.ncbi.nlm.nih.gov/28845491/
17. Mohammadzadeh A, Shahkarami V, Shakiba M, Sabetrasekh P, Mohammadzadeh M, Hekimoglu A, et al. Association of non-alcoholic fatty liver disease with increased carotid intima-media thickness considering other cardiovascular risk factors. Iran J Radiol 2019;16(3):1182-6.
18. Khan K, Butt MOT, Rafique MS, Kundi S, Maqsood A, Nafees M. Association between Increased Carotid Intima Media Thickness and Nonalcoholic Fatty Liver Disease. BMC J Med Sci 2022;3(2):47-50.