Literature DB >> 29619417

Nonalcoholic fatty liver disease contributes to subclinical atherosclerosis: A systematic review and meta-analysis.

Yao-Yao Zhou1, Xiao-Dong Zhou2, Sheng-Jie Wu2, Dan-Hong Fan2, Sven Van Poucke3, Yong-Ping Chen4,5, Shen-Wen Fu1, Ming-Hua Zheng4,5.   

Abstract

Nonalcoholic fatty liver disease (NAFLD) is associated with an increased risk of atherosclerotic cardiovascular disease. In our meta-analysis, we aimed to assess the correlation of NAFLD and four surrogate markers of subclinical atherosclerosis. PubMed, Embase, and the Cochrane Library were searched up until April 2017. Original studies investigating the association between NAFLD and subclinical atherosclerosis were included. The outcome data were extracted and pooled for the effect estimate by using a random-effects model. We used the Newcastle-Ottawa Quality Assessment Scale to assess the quality of the included studies. Of the 434 initially retrieved studies, 26 studies involving a total of 85,395 participants (including 29,493 patients with NAFLD) were included in this meta-analysis. The Newcastle-Ottawa Quality Assessment Scale scores suggested the included studies were of high quality. The pooled effects estimate showed that subjects with NAFLD exhibited a significant independent association with subclinical atherosclerosis compared to the non-NAFLD group (odds ratio, 1.60; 95% confidence interval, 1.45-1.78). Subgroup analysis suggested that the presence of NAFLD yielded a remarkable higher risk of increased carotid artery intima-media thickness/plaques, arterial stiffness, coronary artery calcification, and endothelial dysfunction with odds ratios (95% confidence interval) of 1.74 (1.47-2.06), 1.56 (1.24-1.96), 1.40 (1.22-1.60), and 3.73 (0.99-14.09), respectively.
Conclusion: Our meta-analysis revealed a close link between NAFLD and subclinical atherosclerosis in light of four different indices. Patients with NAFLD might benefit from screening and surveillance of early atherosclerosis, which would facilitate the prediction of potential cardiovascular disease burden, risk stratification, and appropriate intervention in the long term. (Hepatology Communications 2018;2:376-392).

Entities:  

Year:  2018        PMID: 29619417      PMCID: PMC5880194          DOI: 10.1002/hep4.1155

Source DB:  PubMed          Journal:  Hepatol Commun        ISSN: 2471-254X


arterial stiffness coronary artery calcification carotid artery intima‐media thickness confidence interval cardiovascular disease flow‐mediated dilation nonalcoholic fatty liver disease nonalcoholic steatohepatitis odds ratio preferred reporting items for systematic reviews and meta‐analyses

Introduction

Nonalcoholic fatty liver disease (NAFLD) has become an emerging global public health concern, with prevalence estimates ranging from 10% to 30% in the general population and a higher prevalence of 40% to 70% in individuals with obesity or diabetes mellitus.1 NAFLD is a condition histologically divided into nonalcoholic fatty liver (isolated steatosis with or without nonspecific inflammation) and nonalcoholic steatohepatitis (NASH), with varying degrees of hepatic fibrosis and more progressive natural history.2 In recent years, NAFLD has also been recognized as the hepatic manifestation of metabolic syndrome, sharing a series of risk factors with cardiovascular disease (CVD), including insulin resistance, hypertension, obesity, and dyslipidemia.3 Epidemiologic evidence from the early to mid‐2000s indicated that CVD events had increased and was presenting as the most common cause of death in patients with NAFLD (approximately 25%).4 As such, early evaluation for CVD in a preclinical stage in the high‐risk population is necessary to decrease cardiovascular morbidity and mortality. Additionally, a growing body of evidence demonstrated that NAFLD not only behaved as a marker of atherosclerotic CVD but also might take part in its pathogenesis, providing insight regarding the relationship between NAFLD and early stage atherosclerosis.5, 6 Notably, a spectrum of studies reported that NAFLD is associated with markers of preclinical atherosclerosis, independent of traditional risk factors.7 At present, carotid artery intima‐media thickness (CIMT), arterial stiffness (AS), coronary artery calcification (CAC), and brachial arterial flow‐mediated dilation (FMD) are noninvasive techniques that generally serve as surrogate markers for subclinical atherosclerosis. They are used during initial assessment of potential cardiovascular events and risk stratification to determine appropriate therapeutic strategies for patients with latent CVD. In this context, it is plausible that there is a relationship between the presence of NAFLD and subclinical atherosclerosis. A systematic review highlighted the association of NAFLD with various indices of subclinical atherosclerosis independent of established CVD risk factors. Unfortunately, that study failed to offer the effect estimates of the correlation, and uncertainty still exists with respect to the potential link between NAFLD and the aforementioned markers of subclinical atherosclerosis. We therefore performed a systematic review and meta‐analysis to attain a comprehensive understanding of this issue.

Materials and Methods

SEARCH STRATEGY

The protocol for this systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) statement.8 PubMed, Embase, and the Cochrane Library databases were extensively searched up until April 30, 2017, to identify potentially relevant publications without language or date restrictions. Medical subject heading terms were “nonalcoholic fatty liver disease” or “NAFLD” or “fatty liver” and “cardiovascular disease” or “subclinical atherosclerosis” or “preclinical atherosclerosis” or “intima‐media thickness” or “coronary calcification” or “coronary artery calcification” or “endothelial dysfunction” or “arterial stiffness” or “flow‐mediated dilation” or “pulse wave velocity.” Reference lists from cited articles were also manually searched for additional eligible trials.

INCLUSION CRITERIA

Criteria for inclusion of an article in this meta‐analysis were as follows: (1) prospective design, cross‐sectional design, or retrospective design; (2) original studies designed to evaluate the relationship between NAFLD and subclinical atherosclerosis; (3) odds ratios (ORs) or hazard ratios with confidence intervals (CIs) were provided or could be estimated with sufficient information; (4) diagnosis of NAFLD was based on ultrasound, computed tomography, or biopsy. Duplicated or overlapping reports were deleted if referring to the same title, author list, or publication date.

STUDY SELECTION AND DATA EXTRACTION

After the first screening of titles/abstracts, full articles of potentially eligible studies were independently reviewed by two investigators (Y.Z., X.Z.) with regard to the inclusion and exclusion criteria. The following relevant information of included studies was extracted: 1) study: the first author, year of publication, location, design; 2) participants: number, age, and sex of the NAFLD and non‐NAFLD groups; 3) evaluation methods of NAFLD and subclinical atherosclerosis; 4) adjusted confounders. Conventionally, the most adjusted estimate was selected when a study offered more than one risk estimate. Any discrepancies regarding the extraction of data were resolved by an additional investigator (M.Z.).

QUALITY ASSESSMENT

The methodologic quality of the included studies was evaluated by a “star system” based on the Newcastle‐Ottawa Quality Assessment Scale, which ranged from one to nine stars and consisted of three items: (1) patient selection; (2) comparability of groups or cohorts; (3) assessment of either the exposure or outcome of interest for case‐control or cohort studies, respectively. Two reviewers (Y.Z., X.Z) independently assessed the quality of the original article, with a third author addressing any subsequent disagreements.

STATISTICAL ANALYSIS

The results of studies were pooled, and an overall estimate of ORs or hazard ratios with 95% CI were obtained. In the inverse variance approach, the weight given to each study is the inverse of the variance of the effect estimate (i.e., 1 over the square of its SEM). Clinical heterogeneity was assessed by the χ2 test and quantified by the I 2 statistic, which was minimal if <25%, moderate if 25%‐49%, and substantial if >50%. In light of the significant heterogeneity among studies, a random‐effects model by the Der Simonian and Laird method was used, resulting in a more conservative estimate compared to the fixed‐effects model. Two sources of variability in effects are assumed for weight in the inverse variance method with the random‐effects model; one is from sampling error and the other from study‐level differences, which represent the effects from variability across the population. Subgroup analysis was further conducted according to the following diagnostic indices of subclinical atherosclerosis: CIMT, CAC or plaques, AS, and FMD. Additionally, a sensitivity analysis was carried out by removing each individual study at a time and determining its effect on the ultimate effect estimate. P < 0.05 was considered statistically significant for all analyses. Funnel plots and Egger's regression test were performed to check for publication bias. Statistical analyses were performed with Review Manager version 5.3.9

Results

SEARCH RESULTS

The PRISMA flowchart of the literature search process is shown in Fig. 1.
Figure 1

Flow diagram of the study selection process. Abbreviation: HR, hazard ratio.

Flow diagram of the study selection process. Abbreviation: HR, hazard ratio. Electronic and manual searches retrieved 434 potentially relevant publications, which after the initial screening resulted in removing 208 papers according to title and abstract. By reviewing the full articles, 178 papers were further excluded because (1) data were unavailable for a risk estimate (e.g., quantitative variables); (2) there were no outcome data of interest; or (3) the study was considered a basic research study/review article or not related. Eventually, 26 unique clinical studies were eligible for inclusion in this meta‐analysis.10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35

BASELINE CHARACTERISTICS OF THE STUDIES

The main characteristics of the qualified studies in this meta‐analysis are summarized in Table 1. Overall, our analysis included 26 observational studies enrolling a total of 85,395 participants (including 29,493 patients with NAFLD). In both the NAFLD and non‐NAFLD groups, most subjects were middle‐aged male individuals, although two studies focused on the pediatric population. These studies were carried out in Asia (China, India, South Korea, Turkey, Iran, Israel, and Japan), Europe (Spain, Italy, Finland, Germany, and Sweden), and America (United States and Brazil). Among them, CIMT/carotid plaques, CAC, AS, and FMD were widely employed as surrogate markers of subclinical atherosclerosis. Twenty studies were cross‐sectional studies, four studies were case‐control studies, and two were prospective cohort studies (either population‐based or hospital‐based or outpatient cohorts). The majority of studies used ultrasonography or computed tomography for diagnosis of NAFLD, and four studies were based on liver biopsy. The Newcastle‐Ottawa Quality Assessment Scale scores suggested the included studies were of high quality (Table 2).
Table 1

Characteristics of the Included Studies in the Meta‐analysis

Location (Reference)Study DesignStudy Population NAFLD vs. Non‐NAFLDExclusion Criteria Age (Year): NAFLD vs. Non‐NAFLDMale (%)Definition of Subclinical AtherosclerosisDiagnosis of NAFLDVariables of Multivariate Model
A. Carotid Intimal‐Medial Thickness or Plaques
India10 Cross‐sectionalConsecutive hospital‐based patients with type 2 diabetes (71 vs. 53)Known hepatic disease, seropositivity for hepatitis B or C, ingestion of hepatotoxic drug(s), and alcoholic fatty liver57 vs. 6160Mean CIMT >0.8 mmPresence of an ultrasonographic pattern consistent with “bright liver,” with evident ultrasonographic contrast between hepatic and renal parenchyma, vessel blurring, and narrowing of the lumen of the hepatic veins in the absence of findings suggestive of chronic liver diseaseUnadjusted
Turkey11 Case controlHospital‐based individuals (40 vs. 40)Malignant disease, pancreas disease, adrenal/pituitary disease, chronic drug/alcohol use, and gastrointestinal surgery40 vs. 4051Plaque was defined as a focal thickening of >1.2 mm in any carotid segment (near and far walls of right and left common carotid artery, bifurcation bulb, and internal carotid artery)Liver biopsyUnadjusted
Spain12 Case controlHospital‐based individuals (40 vs. 40)Alcohol consumption, seropositivity for hepatitis B or C, or with serum transferrin saturation >45%53 vs. 5250Plaque was defined as a focal thickening of ≥1.2 mm in any of 12 carotid segments (near and far walls of right and left common carotid artery, bifurcation, and internal carotid artery)A “bright liver” (abnormally intense, high‐level echoes arising from the hepatic parenchyma, with an amplitude similar to that of echoes arising from the diaphragm) in the absence of chronic liver disease or cancerSex and age
Italy13 Case controlConsecutive hospital‐based individuals matched for sex, age, and BMI (125 vs. 250)History of DM, hypertension, CVD, viral /autoimmune hepatitis, alcohol consumption, hemochromatosis, drug‐induced liver disease, and Wilson's disease51 vs. 5287Mean CIMT >0.64 mmDiagnosis of NAFLD was based on ultrasonography and confirmed by biopsy in 54 patientsSex, smoking, fasting glucose, lipid parameters, MetS, DM, and BMI
Korea14 Cross‐sectionalConsecutive hospital ‐based patients without diabetes (320 vs. 313)Alcohol consumption, viral hepatitis, autoimmune hepatitis, and use of hepatotoxic drugs54 vs. 5253.6Increased IMT was considered as ≥1.0 mm in carotid arteries, and the presence of plaque was defined as localized lesions with protrusion into the arterial lumen or IMT ≥1.5 mmPresence of diffuse hyperechoic echotexture, bright liver) increased liver echotexture compared with the kidneys, vascular blurring, and deep attenuation of the ultrasonic beamAge, hypertension, hsCRP, BMI, WC, lipid profile, and liver enzymes
Korea15 Cross‐sectionalHospital‐based individuals (507 vs. 514)Know coronary heart disease or stroke, seropositive for hepatitis B, or excessive alcohol consumption51 vs. 5254.5Increased IMT in this analysis was defined using the sex‐specific highest quintile: >0.86 mm for men and >0.83 mm for womenDegree of steatosis was assessed semiquantitatively (absent, mild, moderate, and severe) on the basis of abnormally intense high‐level echoes arising from the hepatic parenchyma, liver‐kidney differences in echo amplitude, echo penetration into the deep portion of the liver, and clarity of the blood vessel structure in the liverAge, sex, WC, smoking, alcohol, SBP, fasting glucose, and total/HDL‐cholesterol ratio
Iran16 Case controlPopulation‐based individuals (290 vs. 290)Positive or suspicious results for HBsAg, anti‐HCV and HIV, any history of liver disease, major organ failure, alcohol consumption, pregnancy, weight loss or weight gain, and non‐Iranianage matchedNAMean CIMT ≥0.8 mmPresence of a ‘bright’ liver, with stronger echoes in the hepatic parenchyma than in the renal parenchyma, often associated with unusually fine liver echotexture and vessel blurringAge, DM, hypertension, and WC
Italy18 Cross‐sectionalHospital‐based obese children (179 vs. 369)Infectious and metabolic disordersNA51.5Mean CIMT ≥0.5 mmUltrasonographic evidence of liver steatosis and the presence of persistently (>6 months) elevated ALT (>258 U/L for boys and >221 U/L for girls)Age, sex, pubertal status, and BMI‐SDS
Italy17 Cross‐sectionalHospital‐based obese children (100 vs. 300)Hepatic virus infections, autoimmune hepatitis, metabolic liver disease, antitrypsin deficiency, cystic fibrosis, Wilson's disease, history of hepatotoxic drug/alcohol use, blood transfusion, surgery, celiac disease, and hemochromatosis11 vs. 1151.8Increased CIMT was defined as ≥90th percentile of values observed in healthy lean subjectsUltrasound‐diagnosed fatty liver and persistently (>6 months) elevated ALT levelsAge, sex, Tanner stage, and MetS
Italy19 Cross‐sectionalConsecutive hospital‐based obese subjects (189 vs. 172)History of cardiovascu‐ lar disease, systemic disease, infection in the previous month, serious chronic illness, alcohol consumption, or use of drugs that interfere with insulin action46 vs. 4329Mean CIMT >0.8 mm and/or plaques were presentUltrasonographic evidence of liver steatosis was according to conventional criteria; histological features of steatosis, lobular inflammation, hepatocellular ballooning, and fibrosis were scored with the scoring system for NAFLDAge
Italy20 Cross‐sectionalConsecutive hospital‐based male (90 vs. 64)Excessive alcohol consumption59 vs. 6048.7Mean CIMT >0.9 mmPresence of diffuse hyperechoic echotexture, bright liver, increased liver echotexture compared with the kidneys, vascular blurring, and deep attenuation of the ultrasonic beamAge, sex, BMI, DM, smoking, hypertension, and dyslipidemia
Korea21 Cross‐sectionalHospital‐based individuals (4,303 vs. 3,717)History of CVD/cancer, cirrhosis, seropositivity for hepatitis B or C, use of antithrombotic drugs, alcohol consumption, subclinical carotid atherosclerosis at baselineNA100Mean CIMT >1.2 mm and/or plaques were presentDiagnosis of fatty liver was based on standard criteria, including parenchymal brightness, liver‐to‐kidney contrast, deep beam attenuation, and bright vessel wallsAge, BMI, alcohol, smoking, and MetS
India33 Cross‐sectionalHospital‐based individuals (52 vs. 28)History of diabetes, CAD, seropositivity for hepatitis B or C and HIV, alcohol consumption, intake of drugs may cause fatty liver, severe illness or end organ dysfunction, current smokers, pregnant and lactating females42 vs. 3767.5Mean CIMT was calculated by measuring the far wall at three sites: common carotid artery bifurcation, 10 mm proximal in common carotid, and 10 mm distal to bifurcation in internal carotid arteryDiffuse homogeneous increased echogenecity of the liver was diagnosed as fatty liverObesity, MetS, insulin resistance, and lipid parameters
B. Coronary artery calcification or plaques
Japan22 Cross‐sectionalHospital‐based patients with NAFLD (n = 60) and controls (n = 238)History of known liver disease, including viral, genetic, autoimmune, and drug‐induced liver disease, and alcohol consumption66 vs. 6856.4Positive remodeling as having a remodeling index of >1.1 and calcified plaque was considered severe if >180 HU and mild if <180 HUAverage attenuation value of liver /average attenuation value of spleen <1.1Age, sex, alcohol, smoking, BMI
Israel23 CohortHospital‐based individuals (29 vs. 32)Any other liver or biliary disorders and patients with high risk for CAD53 vs. 5152Plaques were classified as calcified or noncalcified on a segmental basis, according to plaque features that included volume, attenuation, and calcification pattern. Calcified lesion was defined as a minimum of 2 pixels (area, 0.52 mm2) with a minimum attenuation of 130 HUHepatic steatosis was defined as an attenuation of ≥–10 HU or more (calculated as liver attenuation minus spleen attenuation) by using CTAge, sex, smoking, lipid parameters, glucose levels, MetS, diabetes, BMI, and ALT
Taiwan24 Cross‐sectionalHospital‐based individuals (121 vs. 174)Patients with unavailable hepatobiliary evaluation or incomplete laboratory data or positive for HBsAg or anti‐HCV AbNA66CAC scoring >100Ultrasonographic evidence: diffusely increased liver echogenicity with evident contrast between the liver and kidney, diffusely increased liver echogenicity with blurring of the intrahepatic vessels or diaphragm, or bright liver echogenicity with poor penetration of the posterior hepatic segment and intrahepatic vessels or invisibility of the diaphragm. CT evidence: liver attenuation less than the spleen, pronounced contrast attenuation between the liver and spleen with blurred intrahepatic vessels, or markedly reduced attenuation of the liver with evident contrast between the liver and intrahepatic vessels.Age, sex, BMI, DM, smoking, hypertension, fasting glucose, lipid parameters, ALT/AST, serum uric acid, and gallbladder stones
USA25 CohortPopulation‐based individuals (512 vs. 2,502)Pregnancy, weight >160 kg, uninterpretable CT scan results, and incomplete covariate informationNA49.5CAC scoring ≥90th percentileLiver‐phantom ratio of 0.33 or lower by CT imageAge, sex, alcohol use, menopausal status, and hormone therapy
Korea26 Cross‐sectionalHospital‐based patients with NAFLD (n = 1,617) and controls (n = 2,406)History of heart attack, coronary artery disease, and other cause of chronic liver disease58 vs. 5760.7CAC scoring ≥100Ultrasonographic features consistent with “bright liver” and evident contrast between hepatic and renal parenchyma, vessel blurring, focal sparing, and narrowing of the lumen of the hepatic veinsAge, sex, BMI, WC, alcohol, smoking, DM, physical activity, hsCRP hypertension, lipid parameters
Korea27 Cross‐sectionalHospital‐based patients with NAFLD (n = 10,063) and controls (n = 11,272)History of heart attack /CAD, seropositivity for viral hepatitis or other liver disease, alcohol consumption, and any missing data No‐obesity: 39 vs. 40; Obesity: 42 vs. 45100Presence of CACUltrasonographic evidence of a diffuse hyperechoic echotexture, hepatorenal echo contrast in reference to the cortex of the right kidney, and vascular blurring and deep‐echo attenuationAge, DM, hypertension, smoking, and physical inactivity
Brazil28 Cross‐sectionalHospital‐based patients with steatosis (n = 204) and controls (n = 301)NA48 vs. 46100Presence of CACUltrasonographic evidence of a bright liver, with evident contrast between hepatic and renal parenchymaAge, BP, BMI, smoking, alcohol, dyslipidemia, fasting glucose, BP/lipid drugs, liver enzyme
C. Arterial stiffness
Korea29 Cross‐sectionalHospital‐based patients with NAFLD (n = 1,249) and controls (n = 1,705)History of peripheral artery disease, severe valvular heart disease, alcohol consumption, seropositivity for viral hepatitis and other types of hepatitis56 vs. 5665Age‐ (10‐year interval) and sex‐specific highest quartile of the cardioankle vascular indexUltrasonographic evidence of marked increase in bright echoes at a shallow depth, with deep attenuation and impaired visualization of the diaphragm and marked vascular blurringAge, sex, and BMI WC, smoking, DM, and hypertension
Korea35 Cross‐sectionalHospital‐based patients with NAFLD (n = 1,667) and controls (n = 2,800)Patients with unavailable hepatobiliary evaluation, incomplete information, positive for HBsAg or anti‐HCV Ab, abnormal level of liver enzymes, blood glucose, or BP51 vs. 5277Increased pulse wave velocity was defined as ≥1,366 cm/secondHepatic steatosis was defined using the standard criteria of fatty liver, including hepatorenal echo contrast, liver brightness, and vascular blurringAge, sex, BMI, SBP, hsCRP, HR, lifestyle, fasting glucose, sCr, triglyceride, and HDL‐C
Korea30 Cross‐sectionalHospital‐based patients with NAFLD (n = 482) and controls (n = 960)History of chronic liver disease, seropositivity for hepatitis B or C, alcohol consumption, subjects with comorbidities that affect WBC count, and missing covariate informationNA66.2Brachial‐ankle pulse wave velocity ≥1,496 cm/second for men and 1,482 cm/second for womenUltrasonographic evidence of marked increase in bright echoes at a shallow depth, with deep attenuation and impaired visualization of the diaphragm and marked vascular blurringAge, smoking, regular exercise, BMI, blood pressure, fasting plasma glucose, triglyceride, HDL, DM, and hypertension
China31 Cross‐sectionalHospital‐based patients with NAFLD (n = 7,469) and controls (n = 26,837)History of viral hepatitis or other liver disease, alcohol consumption and subjects with overweight or underweight, missing ultrasonography or CAVI data49 vs. 4141.5Cardioankle vascular index ≥8 m/secondPresence of at least two of three abnormal findings: diffusely increased echogenicity of the liver, ultrasound beam attenuation, and poor visualization of intrahepatic vessels and diaphragmAge, sex, blood pressure, fasting plasma glucose, lipid parameters, uric acid, ALT, AST, and GGT
D. Flow‐mediated dilation
Turkey32 Cross‐sectionalHospital‐based patients with NAFLD (n = 176) and controls (n = 90)History of CVD, cerebrovascular disease, peripheral vascular disease, chronic liver disease, seropositivity of hepatitis B virus or C and alcohol consumption50 vs. 5241Decreased flow‐mediated dilatation was determined as <10%Ultrasonographic evidence of hepatorenal echogenic contrast, liver brightness, deep attenuation, and vascular blurringAge, sex, BMI, and insulin resistance
India33 Cross‐sectionalHospital‐based individuals (52 vs. 28)History of DM, CAD, seropositivity for hepatitis B or C and HIV, alcohol consumption, drug‐induced fatty liver, severe illness or organ dysfunction, current smokers, pregnant and lactating females42 vs. 3767.5Mean CIMT was calculated by measuring the far wall at three sites: common carotid artery bifurcation, 10 mm proximal in common carotid, and 10 mm distal to bifurcation in internal carotid arteryDiffuse homogeneous increased echogenecity of the liver was diagnosed as fatty liverObesity, MetS, insulin resistance, and lipid parameters
Italy34 Cross‐sectionalHospital‐based patients with NAFLD (n = 52) and controls (n = 28)History of seropositivity for hepatitis B or C, alcohol consumption, autoimmune hepatitis, primary biliary cirrhosis, celiac disease, genetic disease46 vs. 4377.5Flow‐mediated vasodilation in the lower tertile (<5% vasodilation)NAFLD cases were identified on the basis of chronically raised alanine aminotransferase levels (>1.5× upper normal values for 6 months or more) and a bright liver at ultrasound scanAge, sex, BMI, and insulin resistance

Abbreviations: ab, antibody; ALT, alanine aminotransferase; AST, aspartate transaminase; BP, blood pressure; BMI, body mass index; CAD, coronary artery disease; CT, computed tomography; CVD, cardiovascular disease; DM, diabetes mellitus; GGT, gamma‐glutamyl transferase; HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; HDL, high‐density lipoprotein; HDL‐C, high‐density lipoprotein cholesterol; HIV, human immunodeficiency virus; HR, heart rate; hsCRP, high‐sensitivity C‐reactive protein; HU, Hounsfield unit; MetS, metabolic syndrome; NA, not available; NAFLD, nonalcoholic fatty liver disease; sCr, serum creatinine; SBP, systolic blood pressure; SDS, standard deviation score; WC, waist circumference. SDS

Table 2

Quality Assessment of Included Studies

Year (Reference)SelectionComparabilityOutcome/ExposureScore
12345678
A. Carotid intimal‐medial thickness or plaques
201110 ****************
200811 ****************
200512 ****************
200813 ****************
201214 ****************
200915 ****************
201316 ****************
201418 ****************
201017 ****************
201519 ****************
200920 ****************
201621 ****************
201233 ****************
B. Coronary artery calcification or plaques
200822 ****************
201023 ****************
201024 ****************
201525 ****************
201226 ****************
201527 ****************
200728 ****************
C. Arterial stiffness
201529 ****************
201235 ****************
201230 ****************
201531 ****************
D. Flow‐mediated dilation
201632 ****************
201233 ****************
200534 ****************
Characteristics of the Included Studies in the Meta‐analysis Abbreviations: ab, antibody; ALT, alanine aminotransferase; AST, aspartate transaminase; BP, blood pressure; BMI, body mass index; CAD, coronary artery disease; CT, computed tomography; CVD, cardiovascular disease; DM, diabetes mellitus; GGT, gamma‐glutamyl transferase; HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; HDL, high‐density lipoprotein; HDL‐C, high‐density lipoprotein cholesterol; HIV, human immunodeficiency virus; HR, heart rate; hsCRP, high‐sensitivity C‐reactive protein; HU, Hounsfield unit; MetS, metabolic syndrome; NA, not available; NAFLD, nonalcoholic fatty liver disease; sCr, serum creatinine; SBP, systolic blood pressure; SDS, standard deviation score; WC, waist circumference. SDS Quality Assessment of Included Studies

RELATIONSHIP BETWEEN NAFLD AND SUBCLINICAL ATHEROSCLEROSIS

Overall, the mosaic plot revealed that, compared to subjects without NAFLD, patients with NAFLD exhibited a significant higher risk of subclinical atherosclerosis in light of four different indices with OR (CI) values of 1.60 (1.45‐1.78) (Fig. 2). We found evidence of heterogeneity across the included studies (I 2 = 82%; P < 0.05), and an exclusion sensitivity analysis did not alter the above results. We then conducted a subgroup analysis for four types of indices accounting for subclinical atherosclerosis as mentioned below.
Figure 2

Mosaic plot showing that patients with NAFLD exhibited a significant higher risk of subclinical atherosclerosis compared to subjects without NAFLD.

Mosaic plot showing that patients with NAFLD exhibited a significant higher risk of subclinical atherosclerosis compared to subjects without NAFLD. Thirteen studies with 12,269 individuals were included that addressed CIMT/carotid plaques. Pooled data suggested that NAFLD was associated with a remarkably higher likelihood of pathologic CIMT/carotid plaques (OR, 1.74; 95% CI, 1.47‐2.06; P < 0.00001; I 2 = 86%) (Fig. 3).
Figure 3

Effect estimate for the association between NAFLD and increased CIMT or plaques using a random‐effects model. Forest plot comparison of individuals without NAFLD versus patients with NAFLD. Red squares represent the OR, horizontal lines the CIs, black diamond represent the pooled OR.

Effect estimate for the association between NAFLD and increased CIMT or plaques using a random‐effects model. Forest plot comparison of individuals without NAFLD versus patients with NAFLD. Red squares represent the OR, horizontal lines the CIs, black diamond represent the pooled OR. Additionally, data on CAC were available for analysis from seven studies with 29,531 participants. The pooled analysis showed that NAFLD was significantly associated with a higher likelihood of increased CAC or plaques (OR, 1.40; 95% CI, 1.22‐1.60; P =0.02; I 2 = 59%) (Fig. 4).
Figure 4

Effect estimate for the association between NAFLD and increased CAC or plaques using a random‐effects model. Forest plot comparison of individuals without NAFLD versus patients with NAFLD. Red squares represent the OR, horizontal lines the CIs, black diamond represent the pooled OR.

Effect estimate for the association between NAFLD and increased CAC or plaques using a random‐effects model. Forest plot comparison of individuals without NAFLD versus patients with NAFLD. Red squares represent the OR, horizontal lines the CIs, black diamond represent the pooled OR. Four observational studies with 43,169 subjects were involved for AS. Compared with the non‐NAFLD group, the presence of NAFLD was significantly associated with a higher likelihood of AS (OR,1.56; CI, 1.24‐1.96). Potential heterogeneity across studies was observed (I 2 = 65%; P = 0.03) (Fig. 5).
Figure 5

Effect estimate for the association between NAFLD and increased AS using a random‐effects model. Forest plot comparison of individuals without NAFLD versus patients with NAFLD. Red squares represent the OR, horizontal lines the CIs, black diamond represent the pooled OR.

Effect estimate for the association between NAFLD and increased AS using a random‐effects model. Forest plot comparison of individuals without NAFLD versus patients with NAFLD. Red squares represent the OR, horizontal lines the CIs, black diamond represent the pooled OR. We found three studies referring to FMD with available data from 426 participants. The likelihood of impaired FMD was higher in the NAFLD group compared to the non‐NAFLD group (OR, 3.73; 95% CI, 0.99‐14.09) with substantial heterogeneity (I 2 = 67%) (Fig. 6).
Figure 6

Effect estimate for the association between NAFLD and endothelial dysfunction (flow‐mediated vasodilation) using a random‐effects model. Forest plot comparison of individuals without NAFLD versus patients with NAFLD. Red squares represent the OR, horizontal lines the CIs, black diamond represent the pooled OR.

Effect estimate for the association between NAFLD and endothelial dysfunction (flow‐mediated vasodilation) using a random‐effects model. Forest plot comparison of individuals without NAFLD versus patients with NAFLD. Red squares represent the OR, horizontal lines the CIs, black diamond represent the pooled OR.

Discussion

We revealed a close link between NAFLD and subclinical atherosclerosis in this systematic review and meta‐analysis based on 26 observational studies involving a total of 85,395 participants and 29,493 NAFLD cases. Notably, subgroup analysis yielded a consistent result in the four different methods of CIMT/carotid plaques, CAC or plaques, AS, and FMD, albeit with substantial heterogeneity and potential publication bias. These findings are in agreement with a previous meta‐analysis assessing the correlation between NAFLD and pathologic CIMT (OR, 2.04; 95% CI, 1.65‐2.51) and carotid plaques (OR, 2.82; 95% CI, 1.87‐4.27).7 This is in contrast to patients with diabetes; however, no significant association was found between hepatic steatosis and CIMT/carotid calcium.36, 37, 38 Despite these controversial findings, our results are in line with a majority of epidemiologic studies demonstrating that NAFLD is closely associated with increased CIMT, AS, CAC score, and impaired endothelial function.39 This association is more prominent and significant in increased CIMT/plaque than other indicators of subclinical atherosclerosis. Although several meta‐analyses previously evaluated the association between NAFLD and individual indexes of subclinical atherosclerosis (CIMT, carotid plaque, and CAC), none provided a comprehensive determination with respect to carotid atherosclerosis, AS, CAC, or endothelial dysfunction. CIMT, assessed by B‐mode ultrasound, may be used as a radiologic modality to demonstrate the presence and progression of subclinical atherosclerosis.40 Carotid atherosclerosis serves as a mirror of the generalized atherosclerotic burden, reflecting the probability of the presence of atherosclerotic lesions and structural abnormalities in other arteries.11 It correlates to the total number of vascular risk factors linearly and the prevalence and incidence of myocardial infarction and stroke and could facilitate early discrimination of patients likely to benefit from aggressive preventive measures. AS is a reliable parameter of atherosclerotic vascular damage and early structural and functional arterial wall alteration, including high central pulse pressure, arterial remodeling, fat accumulation, inflammation, progression of stenosis, and plaques.41 Increasing systolic and pulse pressure is evaluated by measuring pulse wave velocity between two sites in the arterial tree, with a higher index indicating stiffer arteries; increasing epidemiologic evidence has suggested its significant association with CVD and NAFLD.29 As a low‐cost feasible method, the prognostic value of AS for cardiovascular events is well accepted in routine clinical practice, even for individuals who are asymptomatic. The CAC score is validated as an excellent marker for the presence and instability of atherosclerotic plaque. As the predominant pathologic substrate of CVD, a vulnerable plaque is potentially related to myocardial infarction and cardiac death. Considering that the CAC score could indirectly reflect the total plaque burden, it is not surprising that a high CAC score is an independent predictor of CVD events after accounting for conventional risk factors.42 Previous studies suggested a linear relationship between the extent of the CAC score and all‐cause mortality, thus improving the sensitivity to predict severe coronary atherosclerosis if combined with the Framingham score.43 Endothelial dysfunction is a systemic pathologic state contributing to an imbalance between vasodilative and vasoconstrictive substances. FMD is assessed by high‐resolution ultrasonography, reflecting coronary endothelium‐dependent vasodilator function.44 An impaired FMD response indicates early functional and structural changes in the vascular endothelium. It plays an important part in the pathogenesis and clinical manifestations of atherosclerosis, yielding additive prognostic information of long‐term overt CVD events, even in a low‐risk population. Recent studies have shown that patients with NAFLD were significantly linked to endothelial dysfunction, which is potentially responsible for CVD in the long term.32, 34 The current understanding of the pathophysiology of NAFLD is based on the “multiple‐hits hypothesis.” The first hit initiates from simple steatosis as a consequence of insulin resistance and excessive lipid accumulation in hepatocytes. The second hit is the process involving oxidative stress and alteration of adipokines, contributing to the pathogenesis of NASH. The hepatocytes are then susceptible to multiple overwhelming insults, which lead to progressive liver disease, such as cirrhosis, liver failure, and ultimately hepatocellular carcinoma.45 Accumulating evidence suggests that NAFLD is not merely affected by insulin resistance but also could act as a stimulus for further insulin resistance and metabolic syndrome in turn, thus paving the path for the development and progression of atherosclerosis and overt CVD events.46 The biological mechanisms underlying the correlation between NAFLD and atherosclerosis remain to be elucidated. NASH and atherosclerosis were suggested as two aspects of a shared disease with a common etiology involving metabolic and inflammatory factors.47 However, overwhelming evidence suggests that NAFLD is unlikely to be an innocent bystander in the progression of atherosclerosis. Instead, the proatherogenic effect of NAFLD is implicated in the interplay between insulin resistance, abnormal lipoprotein metabolism, chronic low‐grade inflammation, excessive oxidative stress, and decreased adiponectin concentrations. Particularly, NAFLD renders a higher oxidative inflammatory response in the arterial wall, which may cause endothelial dysfunction and AS.30 In addition, plasminogen activator inhibitor‐1 and angiotensin II could exert a proatherogenic effect on blood vessels in patients with NAFLD. Further research is required to gain more insights into the crosstalk between NAFLD and atherosclerotic CVD. Our meta‐analysis should be interpreted in view of certain limitations. First, the majority of the included studies in this analysis are observational rather than prospective studies, and this might affect the validity of the overall results. In particular, the cross‐sectional design fails to identify causal or temporal relationships between NAFLD and the development of subclinical atherosclerosis. Furthermore, data referring to the assessment of subclinical atherosclerosis from cross‐sectional studies and prospective cohort studies might convey different information. Specifically, cross‐sectional studies were more likely to be a single point on a subclinical atherosclerosis versus time curve, whereas the latter were more likely to correlate with the slope of that curve. Thus, processing progression data separately from cross‐sectional data would provide more useful information if more prospective cohort studies are available in the future. Given the hospital‐based nature of most included studies, it is also inevitably prone to selection bias and might lead to an overestimate of the effect. Second, the diagnostic criteria of subclinical atherosclerosis and the definition for NAFLD in each included study are not unified, and this might be responsible for the inevitable clinical heterogeneity in this meta‐analysis. Specifically, ultrasonography and computed tomography are the most common modalities for diagnosing NAFLD in the included studies, and this could lead to potential false‐negative results. Although ultrasonography is recommended as the first‐line noninvasive tool for diagnosis of NAFLD, it is less sensitive (60%‐90%) when hepatic fat infiltration is below approximately 30%.48 Due to invasiveness and ethical considerations, liver biopsy is still infrequently performed in clinical practice even though it is the gold standard for evaluating the severity of NAFLD. Third, the presence of heterogeneity might restrict the interpretation of the effect estimates and give misleading results that might have been used in the random‐effects model. The diversity in study design, surrogates of subclinical atherosclerosis, and ethnic and population characteristics are potentially responsible for a substantial heterogeneity across studies. Additionally, we were not able to exclude potential residual confounders, such as a history of medications, socioeconomic status, and lifestyle. Finally, possible publication bias exists according to the asymmetric funnel plot. Thus, the findings provided by this meta‐analysis should be interpreted with caution. Taken together, the present study demonstrates an independent correlation between NAFLD and subclinical atherosclerosis. The clinical implication of our results might consider patients with NAFLD to be recognized as at a high risk of atherosclerotic CVD. Awareness of the association is important for clinicians when various indices accounting for subclinical atherosclerosis are feasible in clinical practice. Future studies are still needed to further elucidate whether the association is derived from an overlapping etiology or if NAFLD contributes to a substantial risk of atherosclerosis progression. Hence, patients with NAFLD may benefit from early evaluation of atherosclerosis, thus facilitating prediction of CVD morbidity and mortality, risk stratification for appropriate intervention, and improvement of long‐term clinical outcomes. Author names in bold designate shared co‐first authorship.
  47 in total

Review 1.  NASH and atherosclerosis are two aspects of a shared disease: central role for macrophages.

Authors:  Veerle Bieghs; Patrick C N Rensen; Marten H Hofker; Ronit Shiri-Sverdlov
Journal:  Atherosclerosis       Date:  2011-09-03       Impact factor: 5.162

2.  Preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement and publication bias.

Authors:  Karsten Knobloch; Uzung Yoon; Peter M Vogt
Journal:  J Craniomaxillofac Surg       Date:  2010-12-09       Impact factor: 2.078

3.  Hepatic steatosis is associated with a greater prevalence of coronary artery calcification in asymptomatic men.

Authors:  Raul D Santos; Khurram Nasir; Raquel D Conceição; Ammar Sarwar; Jose A M Carvalho; Roger S Blumenthal
Journal:  Atherosclerosis       Date:  2007-03-01       Impact factor: 5.162

4.  Prevalence of non-alcoholic fatty liver disease and its correlation with coronary risk factors in patients with type 2 diabetes.

Authors:  A K Agarwal; Vineet Jain; Sumeet Singla; B P Baruah; Vivek Arya; Rajbala Yadav; Vivek Pal Singh
Journal:  J Assoc Physicians India       Date:  2011-06

5.  Association of serum triglyceride-to-HDL cholesterol ratio with carotid artery intima-media thickness, insulin resistance and nonalcoholic fatty liver disease in children and adolescents.

Authors:  L Pacifico; E Bonci; G Andreoli; S Romaggioli; R Di Miscio; C V Lombardo; C Chiesa
Journal:  Nutr Metab Cardiovasc Dis       Date:  2014-01-29       Impact factor: 4.222

Review 6.  A systematic review: burden and severity of subclinical cardiovascular disease among those with nonalcoholic fatty liver; should we care?

Authors:  Ebenezer T Oni; Arthur S Agatston; Michael J Blaha; Jonathan Fialkow; Ricardo Cury; Andrei Sposito; Raimund Erbel; Ron Blankstein; Ted Feldman; Mouaz H Al-Mallah; Raul D Santos; Matthew J Budoff; Khurram Nasir
Journal:  Atherosclerosis       Date:  2013-08-09       Impact factor: 5.162

7.  Common carotid intima-media thickness in patients with non-alcoholic fatty liver disease: a population-based case-control study.

Authors:  Kamran B Lankarani; Mojtaba Mahmoodi; Mehrzad Lotfi; Nima Zamiri; Sayed Taghi Heydari; Fariborz Ghaffarpasand; Mohammad Kazem Fallahzadeh; Meisam Babaeinejad; Najmeh Maharlouei; Omid Mirzaee; Bita Geramizadeh; Payam Peymani
Journal:  Korean J Gastroenterol       Date:  2013-12

8.  Presence of coronary plaques in patients with nonalcoholic fatty liver disease.

Authors:  Nimer Assy; Agness Djibre; Raymond Farah; Maria Grosovski; Alon Marmor
Journal:  Radiology       Date:  2010-02       Impact factor: 11.105

9.  Evaluation of vulnerable coronary plaques and non-alcoholic fatty liver disease (NAFLD) by 64-detector multislice computed tomography (MSCT).

Authors:  Satoshi Akabame; Masahide Hamaguchi; Ki-Ichiro Tomiyasu; Muhei Tanaka; Yoshiko Kobayashi-Takenaka; Koji Nakano; Yohei Oda; Toshikazu Yoshikawa
Journal:  Circ J       Date:  2008-04       Impact factor: 2.993

10.  Relationship between Nonalcoholic Fatty Liver Disease and Carotid Artery Atherosclerosis Beyond Metabolic Disorders in Non-Diabetic Patients.

Authors:  Ji Hoon Kang; Kyoung Im Cho; Seong Man Kim; Ja Young Lee; Jae Joon Kim; Ja Jun Goo; Kyoung Nyoun Kim; Joon Hyung Jhi; Dong Jun Kim; Hyeon Gook Lee; Tae Ik Kim
Journal:  J Cardiovasc Ultrasound       Date:  2012-09-21
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  25 in total

1.  The Asian Pacific Association for the Study of the Liver clinical practice guidelines for the diagnosis and management of metabolic associated fatty liver disease.

Authors:  Mohammed Eslam; Shiv K Sarin; Vincent Wai-Sun Wong; Jian-Gao Fan; Takumi Kawaguchi; Sang Hoon Ahn; Ming-Hua Zheng; Gamal Shiha; Yusuf Yilmaz; Rino Gani; Shahinul Alam; Yock Young Dan; Jia-Horng Kao; Saeed Hamid; Ian Homer Cua; Wah-Kheong Chan; Diana Payawal; Soek-Siam Tan; Tawesak Tanwandee; Leon A Adams; Manoj Kumar; Masao Omata; Jacob George
Journal:  Hepatol Int       Date:  2020-10-01       Impact factor: 6.047

2.  Hepatosteatosis and Atherosclerotic Plaque at Coronary CT Angiography.

Authors:  Jessica Carter; Thomas D Heseltine; Mohammed N Meah; Evangelos Tzolos; Jacek Kwiecinski; Mhairi Doris; Priscilla McElhinney; Alastair J Moss; Philip D Adamson; Amanda Hunter; Shirjel Alam; Anoop S V Shah; Tania Pawade; Chengjia Wang; Jonathan R Weir-McCall; Giles Roditi; Edwin J R van Beek; Edward D Nicol; Leslee J Shaw; Daniel S Berman; Piotr J Slomka; Nicholas L Mills; Marc R Dweck; David E Newby; Scott W Murray; Damini Dey; Michelle C Williams
Journal:  Radiol Cardiothorac Imaging       Date:  2022-04-28

Review 3.  Nonalcoholic fatty liver disease and alcoholic liver disease: metabolic diseases with systemic manifestations.

Authors:  Alexander J Kovalic; George Cholankeril; Sanjaya K Satapathy
Journal:  Transl Gastroenterol Hepatol       Date:  2019-09-03

4.  Macrophage miR-34a Is a Key Regulator of Cholesterol Efflux and Atherosclerosis.

Authors:  Yanyong Xu; Yang Xu; Yingdong Zhu; Huihui Sun; Cody Juguilon; Feng Li; Daping Fan; Liya Yin; Yanqiao Zhang
Journal:  Mol Ther       Date:  2019-09-12       Impact factor: 11.454

Review 5.  The Relationship Between Type 2 Diabetes, NAFLD, and Cardiovascular Risk.

Authors:  Cyrielle Caussy; Adrien Aubin; Rohit Loomba
Journal:  Curr Diab Rep       Date:  2021-03-19       Impact factor: 4.810

6.  Cardiovascular Disease in Nonalcoholic Steatohepatitis: Screening and Management.

Authors:  Hersh Shroff; Lisa B VanWagner
Journal:  Curr Hepatol Rep       Date:  2020-06-29

7.  Non-alcoholic fatty liver disease increases risk of carotid atherosclerosis and ischemic stroke: An updated meta-analysis with 135,602 individuals.

Authors:  Ansel Shao Pin Tang; Kai En Chan; Jingxuan Quek; Jieling Xiao; Phoebe Tay; Margaret Teng; Keng Siang Lee; Snow Yunni Lin; May Zin Myint; Benjamin Tan; Vijay K Sharma; Darren Jun Hao Tan; Wen Hui Lim; Apichat Kaewdech; Daniel Huang; Nicholas Ws Chew; Mohammad Shadab Siddiqui; Arun J Sanyal; Mark Muthiah; Cheng Han Ng
Journal:  Clin Mol Hepatol       Date:  2022-03-02

8.  Factors influencing subclinical atherosclerosis in patients with biopsy-proven nonalcoholic fatty liver disease.

Authors:  Taeang Arai; Masanori Atsukawa; Akihito Tsubota; Tadamichi Kawano; Mai Koeda; Yuji Yoshida; Tomohide Tanabe; Tomomi Okubo; Korenobu Hayama; Ai Iwashita; Norio Itokawa; Chisa Kondo; Keiko Kaneko; Chiaki Kawamoto; Tsutomu Hatori; Naoya Emoto; Etsuko Iio; Yasuhito Tanaka; Katsuhiko Iwakiri
Journal:  PLoS One       Date:  2019-11-13       Impact factor: 3.240

9.  Liver fibrosis is associated with carotid atherosclerosis in patients with liver biopsy-proven nonalcoholic fatty liver disease.

Authors:  Taeang Arai; Masanori Atsukawa; Akihito Tsubota; Keizo Kato; Hiroshi Abe; Hirotaka Ono; Tadamichi Kawano; Yuji Yoshida; Tomohide Tanabe; Tomomi Okubo; Korenobu Hayama; Ai Nakagawa-Iwashita; Norio Itokawa; Chisa Kondo; Keiko Kaneko; Naoya Emoto; Mototsugu Nagao; Kyoko Inagaki; Izumi Fukuda; Hitoshi Sugihara; Katsuhiko Iwakiri
Journal:  Sci Rep       Date:  2021-08-05       Impact factor: 4.379

Review 10.  Non-parenchymal hepatic cell lipotoxicity and the coordinated progression of non-alcoholic fatty liver disease and atherosclerosis.

Authors:  Kia M Peters; Rachel B Wilson; Nica M Borradaile
Journal:  Curr Opin Lipidol       Date:  2018-10       Impact factor: 4.776

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