Literature DB >> 35244930

The risk of subclinical carotid atherosclerosis in patients with chronic hepatitis C.

Mouna Medhioub, Khaled Bouzaidi, Asma Bachali, Amal Khsiba, Lamine Hamzaoui, Mohamed Moussadek Azouz.   

Abstract

INTRODUCTION: The role of hepatitis C virus in the pathogenesis of atherosclerotic disease has been suggested by several studies. AIM: To assess the association between subclinical carotid atherosclerosis and chronic hepatitis C.
METHODS: 40 patients infected with chronic hepatitis C and 40 control cases were evaluated by anthropometric and metabolic measurements. The risk of subclinical atherosclerosis was assessed by ultrasound measurement of carotid intima-media thickness. A high cardiovascular risk atherosclerosis was defined by carotid intima-media thickness > 75th percentile.
RESULTS: The carotid intima-media thickness and the prevalence of high cardiovascular risk atherosclerosis were significantly higher in the group infected with hepatitis C compared to the control group (0.68 VS 0.60, p=0.02) and (82.5% vs. 40%; 0.001) respectively. In multivariate studies, activity ≥ A2 and age> 40 years were the independent factors associated with the carotid intima-media thickness and hepatitis C was the only independent factor associated with high cardiovascular risk atherosclerosis (OR=4.81 CI at 95%: 1.6-14.42).
CONCLUSIONS: In our study, chronic hepatitis C was associated with a high risk of carotid atherosclerosis.

Entities:  

Mesh:

Year:  2021        PMID: 35244930      PMCID: PMC8734473     

Source DB:  PubMed          Journal:  Tunis Med        ISSN: 0041-4131


INTRODUCTION

The prevalence of hepatitis C virus (HCV) worldwide is estimated at 1% (1). HCV is thought to be involved in insulin resistance (IR), diabetes and in atherosclerotic disease(2,(3)). HCV is associated with several atherogenic conditions such as IR (4), steatosis (5) and chronic inflammation 3. Some studies have also shown that HCV replicates in carotid plaques causing vascular inflammation (67). Measurement of carotid intima-media thickness (CIMT) with B-mode ultrasound is a sensitive technique for identifying atherosclerotic burden and cardiovascular disease (CVD) risk (8,9). In our study, we evaluated the risk of carotid subclinical atherosclerosis in patients with chronic hepatitis C, compared with a control group.

METHODS

Our study was conducted from March 2015 to June 2017. In all, 40 patients with chronic hepatitis C (CHC) were prospectively recruited at the hepato-gastro-enterology department of Mohamed Taher Maamouri hospital. The inclusion criteria were: the presence of anti-HCV and HCV RNA without any features of acute hepatitis C. All patients met the following exclusion criteria: 1) Age ≤ 18 years, 2) cirrhosis Child Pugh B or C , 3) Hepatocellular carcinoma, 4) associated chronic liver disease: alcoholic hepatitis, hepatitis B, auto -immune hepatitis, primary biliary cholangitis , Wilson’s disease, hemochromatosis, alpha antitrypsin deficiency, 5) alcohol consumption> 30g / day in men and> 20g / day in women, 6) co-infection with human immunodeficiency virus, 7) the use of steatosis- inducing drugs (corticosteroid, tamoxifen, amiodarone) or drugs interfering with lipid metabolism (statin, fibrate), 8) previous hepatitis C anti-viral treatment , 9) previous history of symptomatic atherosclerotic disease, 10) illicit drug addiction. Forty patients, matched for sex, age, and body mass index (BMI) with the CHC group, were enrolled as controls. They were recruited at our department and suffered from gastroesophageal reflux disease and irritable bowel syndrome. All of them had negative anti-HCV and met the exclusion criteria noted above.

Clinical and biological data:

Clinical, anthropological and biological data were collected at the time of inclusion. The BMI was calculated according to the following formula: BMI = weight (kg) / height (m2). Patients were classified as obese if BMI> 30 kg / m2 Biochemical analyses were performed in the same central laboratory for all patients, including cholesterol (CT), HDL- cholesterol (HDL-CT), triglycerides (TG), glycemia and insulinemia. Insulin resistance (IR) was evaluated by the index of homeostasis model assessment of insulin resistance (HOMA-IR) (10). The criteria of the International Diabetes Federation (11) were adopted for the definition of the metabolic syndrome (MS).

Virological data:

The viral load of HCV (HCV –RNA) was measured by quantitative PCR in real time and expressed in IU/ml. The viral genotype C was determined by the viral sequencing method.

Evaluation of chronic hepatitis C fibrosis :

The inflammatory necrotic activity of hepatitis C was determined with fibrotest actitest test (12). It was performed only in patients with no clinical and biological signs of cirrhosis. Fibrosis was considered significant if ≥ F2.

Evaluation of the risk of atherosclerosis:

The CIMT was evaluated by an expert radiologist, using a high-resolution B-mode ultrasonography equipped with a multifrequency linear probe (8,9). CIMT was measured manually, at the left and right distal common carotid artery at 1 cm from the carotid bifurcation, on a segment measuring at least 10 mm. The CIMT maximum (CIMTmax) was defined as the highest CIMT measurements from the left and right side. The diagnosis of Infra-clinical atherosclerosis with a high cardiovascular risk was based on CIMT max> 75th percentile (CIMT 75)( 8, 13).

Statistical study

The statistical analysis and data processing were performed with SPSS software (SPSS for Windows, version 22). The Continuous variables, expressed on average ± standard deviation, were compared with Student t-test. The categorical variables, expressed on frequency, were compared with the chi 2 test and the exact test of Ficher. To investigate factors associated with infra-clinical atherosclerosis, a univariate study and a multivariate study were conducted with the dependent variables CIMTmax and CIMT75. For the univariate study, we used the ANOVA test for qualitative variables and bivariate correlation for quantitative variables. Differences were considered statistically significant if (p lower than 0.05). The correlation was classified as low (Bravais-Pearson r coefficient is close to 0), strong (r approaches +1 or -1) and no correlation (r = 0). Variables associated with the dependent variable at univariate analysis (P lower than 0.10) were included in the multivariate regression models: linear regression model for the dependent variable CIMTmax and the binary logistic regression model for the dependent variable CIMT75 were used. The associations were expressed as odds ratios (OR) with their confidence intervals (95% CI). The study was performed in accordance with the principles of the Declaration of Helsinki and its appendices and with local and national laws.

RESULTS

The distribution of baseline characteristics of the two groups were detailed in table 1 . The mean age of the CHC patients was 55±15.9 years. Twenty-six CHC patients were over 50 years. The two groups were comparable for age, sex, BMI, co-morbidities, smoking, and anthropological data.

Table 1. Baseline demographic, laboratory,and metabolic features in heptitis C group and control group

Variables

CHC* group (n=40)

Control group (n=40)

p

Mean age, (years)

55 ±15,9

51,9 ±12,46

0,26

Gender (H/F)

13/27

17/23

0,36

diabetes (N/%)

Arterial hypertension (N/%)

dyslipidemia (N/%)

7(17,5%)

10 (25 %)

0

3(7,5%)

15(37,5%)

1(2,5%)

0,18

0,22

-

Smoking (N/%)

9(22,5%

6(15%)

0,57

BMI * (Kg/m²)

27,26 ±5,15

26,37±4,51

0,42

Obesity

12(30%)

9(22,5%)

0,55

Glycemia (mmol/l)

6,2 ± 2,33

5,21±0,53

0,012

Insulinemia μUI/ml

12,93 ± 6,35

9,38 ±4,62

0,005

HOMA –IR index

3,6±2,28

2,16±1,07

0,001

IR*

27 (67,5%)

15(37,5%)

0,007

CT* (µmol/l)

3,76 ± 0,99

4,91±0,99

<0,001

HDL-CT * (µmol/l)

1,24 ± 0,33

1,45±0,38

0,012

TG* (µmol/l)

0,96 ± 0,29

1,07±0,5

0,215

MS * (%)

15 (37.5%)

6(15%)

0,02

CIMT max * (mm)

0,68 ± 0,16

0,60±0,13

0,002

CIMT75*

33 (82,5%)

16 (40%)

< 0,001

HCV-RNA* UI/ml

3697 572 ±6043422,57

-

-

Genotype 1/2

37/3

-

-

Stage of fibrosis

Fo

F1

F2

F3

F4

 

3 (7,5%)

10(25%)

12(30%)

6(15%)

9(22,5%)

 

 

-

-

 

 

-

-

Grade of inflammation

A0

A1

A2

A3

Not determined

 

6 (15%)

13 (32,5%)

12 (30%)

6 (15%)

3 (7,5%)

 

-

-

-

-

 

-

-

-

-

Ultrasound steatosis

15 (37,5%)

*CHC :chronic hepatitic C; *BMI :body mass index ;IR* :insulinoresistance ;HOMA* : homeostasis model assessment; CT* :cholesterol ; HDL* : high density lipoprotein acid ;TG* : triglycerides ; MS * :metabolic syndrom ; CIMT* :carotid intima-media thickness ;CIMT75 * :carotid intima-media thickness ≥ 75 percentiles ; HCV- RNA* : hepatitis C virus ribonucleic .
Insulinemia and HOMA-IR index were significantly higher in the CHC group (p=0,005 and p=0,001 respectively). The CT and HDL-CT were significantly lower in the CHC group (p = lower than 0.001 and p = 0.012 respectively). Fifteen patients and 6 controls had a MS (37.5% vs. 15%, p=0.02). The predominant genotype OF HCV was 1 (92.5%). Significant fibrosis was noted in 27 patients (67.5%) and 15 patients (37.5%) had severe fibrosis (F3/4). The mean value of CIMT max was significantly higher in the CHC group compared to the control group (0.68 VS 0.60 mm, p = 0.02). The prevalence of CIMT75 was significantly higher in the CHC group compared to the control group (82.5% vs 40%, p lower than 0.001).

Factors associated with the CIMT max

CIMTmax was weakly correlated with age (r=0.48, p lower than 0.001) but significantly increased in age ≥ 40 years (0.67 VS 0.47mm, p lower than 0.001). HCV infection was associated with higher values of the CIMTmax ( table 1 ). Significant fibrosis was associated with a higher CIMTmaxin the CHC group. The value of the CIMTmax was comparable between the control and CHC group with non-significant fibrosis (fig n°1) . For necrotico-inflammatory activity, stage ≥ A2 was associated with a higher CIMT max (0.76 VS 0.61 mm, p = 0.004).

Figure 1. The CIMT max in CHC group and control group Patients with fibrosis lower F2 had a mean CIMT max value comparable to the control group, but significantly lower than patients with fibrosis ≥ F2

The HOMA -IR index was weakly correlated with the CIMTmax (r=0.31, p=0.005). On the other hand, there was no association between CIMTmax, the SM (p=0,17) and IR (p=0.5). Variables CHC* group (n=40) Control group (n=40) p Mean age, (years) 55 ±15,9 51,9 ±12,46 0,26 Gender (H/F) 13/27 17/23 0,36 diabetes (N/%) Arterial hypertension (N/%) dyslipidemia (N/%) 7(17,5%) 10 (25 %) 0 3(7,5%) 15(37,5%) 1(2,5%) 0,18 0,22 - Smoking (N/%) 9(22,5% 6(15%) 0,57 BMI * (Kg/m²) 27,26 ±5,15 26,37±4,51 0,42 Obesity 12(30%) 9(22,5%) 0,55 Glycemia (mmol/l) 6,2 ± 2,33 5,21±0,53 0,012 Insulinemia μUI/ml 12,93 ± 6,35 9,38 ±4,62 0,005 HOMA –IR index 3,6±2,28 2,16±1,07 0,001 IR* 27 (67,5%) 15(37,5%) 0,007 CT* (µmol/l) 3,76 ± 0,99 4,91±0,99 <0,001 HDL-CT * (µmol/l) 1,24 ± 0,33 1,45±0,38 0,012 TG* (µmol/l) 0,96 ± 0,29 1,07±0,5 0,215 MS * (%) 15 (37.5%) 6(15%) 0,02 CIMT max * (mm) 0,68 ± 0,16 0,60±0,13 0,002 CIMT75* 33 (82,5%) 16 (40%) < 0,001 HCV-RNA* UI/ml 3697 572 ±6043422,57 - - Genotype 1/2 37/3 - - Stage of fibrosis Fo F1 F2 F3 F4 3 (7,5%) 10(25%) 12(30%) 6(15%) 9(22,5%) - - - - Grade of inflammation A0 A1 A2 A3 Not determined 6 (15%) 13 (32,5%) 12 (30%) 6 (15%) 3 (7,5%) - - - - - - - - Ultrasound steatosis 15 (37,5%) In a multi-variate study, only age ≥ 40 years and moderate- to-severe activity of hepatic impairment were independent factors associated with higher CIMTmax (p lower than 0.001 and p=0.03 respectively). Factors associated with infra clinic atherosclerosis with high cardiovascular risk In univariate studies, the factors associated with the CIMT75 were HCV infection (p lower than 0.0001), HOMA-IR index (p = 0.001), IR (p = 0.004) (table 2) . In multivariate analysis, only HCV infection was identified as an independent factor associated with CIMT75(OR=4.81, CI :1,6-14,42, p=0,005) table 2 .

Table 2. Univariate and multivariate analysis of risk factors associated with a high cardiovascular risk atherosclerosis

Variables

CIMT 75 (-)

CIMT 75 (+)

uni-variate study p

multi-variate study OR ( CI 95% ) p

HCV(+)

17,5%

82,5%

<0.001

4,81

(1,6-14,42)0,005

Mean age (years)

50,38±14,75

55,89±13,8

0,86

-

Age > 40 years

31,2%

43,7%

0,14

-

Gender

17,5%

20%

0,26

-

Diabetes

3,75%

8,75%

0,55

-

Arterial hypertension

12,5%

18,75%

0,90

-

Smoking

8,75%

11,25%

0,65

-

Obesity

0,27

-

CT *mmol/l

4,7±0,94

4,11±1,21

0.40

-

HDL-C* µmol/l

1,34±0,38

1,35±0,38

0.66

-

TG* µmol/l

0,97±0,46

1,03±0,38

0.50

-

Glycemia mmol/l

5,23±0,67

6,01±2,13

0.65

-

Insulinemia µUI/ml

8,71±3,66

12,7±6,39

0.43

-

HOMA-IR*

2,01±0,84

3,43±2,19

0.001

1,66

(0,71-3,84) 0,24

IR*

12,5%

40%

0.004

0,94

(0,15-5,97) 0,95

MS*

7,5%

18,75%

0.27

-

HCV-RNA* UI/l

3244375,2

±4266499,65

3793704,6

±640662377

0.83

-

Fibrosis ≥ F2

10%

22,5%

0,13

-

*CIMT75* : carotid intima-media thickness>75 percentiles ; *OR :odds ratio ;*CI :confidence interval ; *HCV : hepatitic C virus; *CT :cholesterol ; *HDL : high density lipoprotein acid ;TG, triglycerides ; *HOMA, :homeostasis model assessment; *IR :insulinoresistance ; *MS :metabolic syndrom ;* HCV-RNA : hepatitis C virus ribonucleic .

DISCUSSION

In our study, it was shown that patients with chronic hepatitis C had a CIMTmax significantly higher compared to the control group. HCV infection has also been identified as the only independent factor associated with subclinical atherosclerosis with high cardiovascular risk. Conflicting literature data have reported either normal (14- 17) or increased CIMT ( 6, 18- 21), in patients with a clinical diagnosis of HCV infection compared with control populations. Ishizaka et al were the first to report an association between carotid atherosclerosis and HCV infection, in a cohort of 1992 Japanese subjects. HCV-infected patients had a higher CIMT compared to non-infected subjects, as well as a significantly higher prevalence of carotid plaques (64% vs 25%, p lower than 0.0001) (18). These data were supported by a meta-analysis including nine case-control studies 22, chronic HCV infection was significantly associated with a higher CIMT compared to control subjects (p lower than 0.001) Other studies have noted a negative association between HCV infection and atherosclerosis. Most of them have included a small number of HCV-infected patients. Bilora et al followed the progression of atherosclerotic disease in 40 HCV-infected subjects and 40 controls for 5 years, both groups were matched for the cardiovascular risk factors and had a baseline comparable CIMT 14. A significant increase in CIMT was only observed in the control group. Similarly, Tien et al found that HCV infection was associated neither with the CIMT nor with the presence of Variables CIMT 75 (-) CIMT 75 (+) uni-variate study p multi-variate study OR ( CI 95% ) p HCV(+) 17,5% 82,5% <0.001 4,81 (1,6-14,42)0,005 Mean age (years) 50,38±14,75 55,89±13,8 0,86 - Age > 40 years 31,2% 43,7% 0,14 - Gender 17,5% 20% 0,26 - Diabetes 3,75% 8,75% 0,55 - Arterial hypertension 12,5% 18,75% 0,90 - Smoking 8,75% 11,25% 0,65 - Obesity 0,27 - CT *mmol/l 4,7±0,94 4,11±1,21 0.40 - HDL-C* µmol/l 1,34±0,38 1,35±0,38 0.66 - TG* µmol/l 0,97±0,46 1,03±0,38 0.50 - Glycemia mmol/l 5,23±0,67 6,01±2,13 0.65 - Insulinemia µUI/ml 8,71±3,66 12,7±6,39 0.43 - HOMA-IR* 2,01±0,84 3,43±2,19 0.001 1,66 (0,71-3,84) 0,24 IR* 12,5% 40% 0.004 0,94 (0,15-5,97) 0,95 MS* 7,5% 18,75% 0.27 - HCV-RNA* UI/l 3244375,2 ±4266499,65 3793704,6 ±640662377 0.83 - Fibrosis ≥ F2 10% 22,5% 0,13 - carotid plaques (16). The same data were confirmed by an Egyptian study 17. Few studies have evaluated the impact of fibrosis in chronic hepatitis C on the CIMT.They showed that severe fiborosis was associated with a higher risk of of carotid atherosclerosis ( 20, 21). In our work, significant fibrosis and moderate to severe activity were associated with a higher value of IMTon uni- variate study. In the literature, no studies have directly evaluated the association between chronic HCV infection and subclinical atherosclerosis with high cardiovascular risk. The studies were rather focused on the impact of HCV infection on CVD mortality. In the meta-analysis of Petta et al, HCV-infected patients had increased risks of CVD-related mortality compared with uninfected individuals (OR :1.65; CI 95%, 1.07- 2.56; p=0 ,02)(22). In an American cohort inculding more than 10,000 HCV-infected blood donors, HCV infection was associated with an increased risk of cardiovascular mortality (OR=2.21, 95% CI: 1.41, 3.46) 23. In a 16-year prospective cohort study, HCV infection was associated with increased hepatic and extra-hepatic mortality. CVD mortality was significantly higher in patients with detectable viral RNA (HR = 2.77, 95 % CI 1.49-5.15) 24. he pathogenic mechanisms explaining the role of HCV in atherogenesis are not fully understood. Chronic hepatitis C is associated with a complex condition promoting pro-atherogenic factors that are involved in endothelial dysfunction, insulin resistance, fibrosis and steatosis ( 9, 25). These factors would be interconnected and driven mainly by dysregulation of several actors of innate and adaptive immunity ( 26, 27). Moreover, HCV RNA sequences have been detected in carotid plaques and in cerebral endothelium, suggesting a probable direct pro-atherogenic role of HCV ( 6, 7, 28). The main limitation of our study lies in the small number of patients included and a selection bias in the recruitment of the control population which could affect the interpretation of results. The strength of our study lies in the fact that we did not only assess the CIMT as available data from literature but we were interested also in the evaluation of carotid atherosclerosis at high cardiovascular risk with a direct impact on cardiovascular disease .

CONCLUSION

Our findings suggest that the HVC was associated with an increased risk of Infra-clinical atherosclerosis with a high cardiovascular risk and we proposed that patients with chronic hepatitis C should receive periodic cardiovascular evaluation regardless of the presence of conventional cardiovascular risk factors. Acknowledgements : No reported
  27 in total

Review 1.  Global prevalence and genotype distribution of hepatitis C virus infection in 2015: a modelling study.

Authors: 
Journal:  Lancet Gastroenterol Hepatol       Date:  2016-12-16

Review 2.  Metabolic alterations and chronic hepatitis C: treatment strategies.

Authors:  Luigi E Adinolfi; Luciano Restivo; Rosa Zampino; Amedeo Lonardo; Paola Loria
Journal:  Expert Opin Pharmacother       Date:  2011-09-02       Impact factor: 3.889

3.  Hepatitis C infection and clearance: impact on atherosclerosis and cardiometabolic risk factors.

Authors:  Aya Mostafa; Mostafa K Mohamed; Mohamed Saeed; Abubakr Hasan; Arnaud Fontanet; Ian Godsland; Emma Coady; Gamal Esmat; Mostafa El-Hoseiny; Mohamed Abdul-Hamid; Alun Hughes; Nish Chaturvedi
Journal:  Gut       Date:  2010-06-28       Impact factor: 23.059

Review 4.  The predictive value of steatosis in hepatitis C virus infection.

Authors:  Luigi E Adinolfi; Luciano Restivo; Aldo Marrone
Journal:  Expert Rev Gastroenterol Hepatol       Date:  2013-03       Impact factor: 3.869

5.  Hepatitis C virus infection in hemodialysis patients is not associated with insulin resistance, inflammation and atherosclerosis.

Authors:  Y Caliskan; H Oflaz; H Pusuroglu; H Boz; H Yazici; S Tamer; K Karsidag; A Yildiz
Journal:  Clin Nephrol       Date:  2009-02       Impact factor: 0.975

Review 6.  Natural killer cells in hepatitis C: Current progress.

Authors:  Joo Chun Yoon; Chang Mo Yang; Youkyong Song; Jae Myun Lee
Journal:  World J Gastroenterol       Date:  2016-01-28       Impact factor: 5.742

7.  Association between hepatitis C virus core protein and carotid atherosclerosis.

Authors:  Yuko Ishizaka; Nobukazu Ishizaka; Eiko Takahashi; Tadao Unuma; Ei-ichi Tooda; Hideki Hashimoto; Ryozo Nagai; Minoru Yamakado
Journal:  Circ J       Date:  2003-01       Impact factor: 2.993

8.  Association of hepatitis C virus and HIV infection with subclinical atherosclerosis in the women's interagency HIV study.

Authors:  Phyllis C Tien; Michael F Schneider; Stephen R Cole; Mardge H Cohen; Marshall J Glesby; Jason Lazar; Mary Young; Wendy Mack; Howard N Hodis; Robert C Kaplan
Journal:  AIDS       Date:  2009-08-24       Impact factor: 4.177

9.  Hepatitis C virus infects the endothelial cells of the blood-brain barrier.

Authors:  Nicola F Fletcher; Garrick K Wilson; Jacinta Murray; Ke Hu; Andrew Lewis; Gary M Reynolds; Zania Stamataki; Luke W Meredith; Ian A Rowe; Guangxiang Luo; Miguel A Lopez-Ramirez; Thomas F Baumert; Babette Weksler; Pierre-Olivier Couraud; Kwang Sik Kim; Ignacio A Romero; Catherine Jopling; Susan Morgello; Peter Balfe; Jane A McKeating
Journal:  Gastroenterology       Date:  2011-12-01       Impact factor: 22.682

10.  Increased prevalence of coronary artery disease risk markers in patients with chronic hepatitis C--a cross-sectional study.

Authors:  Torsten Roed; Ulrik Sloth Kristoffersen; Andreas Knudsen; Niels Wiinberg; Anne-Mette Lebech; Thomas Almdal; Reimar W Thomsen; Andreas Kjær; Nina Weis
Journal:  Vasc Health Risk Manag       Date:  2014-01-21
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