Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in the United States, yet little is known about NAFLD awareness in individuals with incidental fatty liver on imaging.
To assess the level of awareness of imaging-defined NAFLD among individuals with and without metabolic risk factors.
Cross-sectional analysis within a prospective longitudinal population-based cohort study conducted in four U.S. cities.
Adults age 43 to 55 years enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) Study who underwent computed tomography and a personal health questionnaire at the year 25 exam (2010–2011, n = 2788).
NAFLD was defined as liver attenuation ≤ 51 Hounsfield units after exclusion of other causes of liver fat. Participants were considered “NAFLD aware” if they reported being told previously by a doctor or nurse that they had “fatty liver.”
NAFLD prevalence was 23.9%. Only 16 of 667 (2.4%) participants with CT-defined NAFLD were aware of a NAFLD diagnosis. NAFLD aware participants were more likely to be white (81.3% vs. 53.5%, p = 0.03) and have the metabolic syndrome (87.5% vs. 59.3%, p = 0.02) and/or hypertension (75.0% vs. 50.2%, p = 0.05). In multivariable analyses adjusted for demographics, metabolic syndrome and hypertension remained predictive of NAFLD awareness.
There is low awareness of NAFLD among individuals with hepatic steatosis on imaging, even among those with metabolic risk factors. These findings highlight an opportunity to raise public and practitioner awareness of NAFLD with the goal of increasing diagnosis and implementing early treatment strategies.
Nonalcoholic fatty liver disease (NAFLD) is a growing health burden in the United States (U.S.) and internationally with the global prevalence estimated at 25.2%.1 It is the most common cause of chronic liver disease in the U.S., accounting for up to 75% of all liver disease.2 NAFLD occurs more frequently among patients with the metabolic syndrome and as the prevalence of obesity, diabetes mellitus, and hypertension increases, the NAFLD burden continues to rise in parallel.3
Patients with NAFLD have higher overall mortality compared with matched control populations without NAFLD.4 Cardiovascular disease is the most common cause of death in NAFLD independent of other metabolic comorbidities.3 NAFLD represents a disease spectrum ranging from isolated hepatic steatosis, which carries relatively lower risk of liver disease progression, to steatosis plus inflammation (nonalcoholic steatohepatitis, NASH) with or without fibrosis, which may eventually progress to cirrhosis.3 Patients with histologically confirmed NASH are at highest risk of liver-related morbidity and mortality.5
NAFLD is diagnosed by the detection of fatty liver on imaging after exclusion of other causes of liver fat,3 and thus is commonly an incidental finding on imaging studies obtained for other indications. Little is known about NAFLD awareness in nonclinical populations with fatty liver on imaging. Despite numerous cross-sectional population-based studies that estimate the prevalence of NAFLD in the U.S. (e.g., National Health and Nutrition Examination Survey, Multiethnic Study of Atherosclerosis, Framingham), none have published data describing participant awareness of an imaging-based NAFLD diagnosis at the time of NAFLD assessment.
Here we aimed to assess the prevalence of participant awareness of imaging-defined NAFLD among individuals with and without metabolic risk factors in a biracial, population-based, well-phenotyped prospective longitudinal cohort study. Secondary objectives included examining the effect of metabolic risk factors, race, socioeconomic status, and sex on the prevalence of NAFLD awareness.
Study Design and Sample
The Coronary Artery Risk Development in Young Adults (CARDIA) Study is a multicenter, prospective, longitudinal cohort study of lifestyle and cardiovascular risk factors in young adults. Between 1985 and 1986, 5115 participants were recruited across four U.S. cities (Birmingham, AL; Chicago, IL; Minneapolis, MN; Oakland, CA). The study design has been previously published.6 Participants were balanced by sex, race (white or black), age (18–24 years old or 25–30 years old), and education level (≤ high school or > high school). Follow-up visits were conducted at years 2, 5, 7, 10, 15, and 25 with retention of 72% of participants at year 25 (2010–2011). The CARDIA Study is ongoing (year 30 exam completed in 2016). Informed consent was obtained at each follow-up examination.
The present report includes 3498 CARDIA participants (age 43–55) who participated in the year 25 exam between June 2010 and August 2011 and underwent cross-sectional imaging with noncontrast computed tomography (CT) scanning of the abdomen. Participants were excluded if they were pregnant, weighed greater than 450 pounds or were unable to fit in the CT scanner, or had missing covariates (n = 339). Participants with other self-reported causes of liver fat, including heavy alcohol use (defined as > 14 standard drinks per week for women or > 21 standard drinks per week for men), human immunodeficiency virus (HIV), hepatitis C virus (HCV), and medications known to cause hepatic steatosis (e.g., amiodarone, diltiazem, methotrexate, valproate, tamoxifen), were also excluded (n = 434) (Fig. 1).
Standardized protocols for data collection were consistent across all study centers and have been previously described.7 The CT scans were performed using multidetector CT scanners from either General Electric (GE 750HD 64 and GE LightSpeed VCT 64 Birmingham and Oakland Centers, respectively; GE Healthcare, Waukesha, WI) or Siemens (Sensation 64, Chicago and Minneapolis Centers; Siemens Medical Solutions, Erlangen, Germany). Liver attenuation was measured in three regions of the right lobe of the liver across three separate CT slices and was reported as the average of nine measurements. Any hepatic steatosis was defined as liver attenuation ≤ 51 Hounsfield units, which approximates a liver/spleen ratio < 1.0.8 Moderate-to-severe hepatic steatosis was defined as liver attenuation ≤ 40 Hounsfield units.9, 10 Image analysis and quality control were performed at a core reading center (Wake Forest University Health Sciences, Winston-Salem, NC). Quality control reviews were conducted on approximately 5% of studies. The interclass correlation coefficient (ICC) between different readers on this randomly selected sample of 156 participants was 0.975 for liver attenuation, indicating high reproducibility of CT-measured liver attenuation in this study.
Demographic and medical characteristics of the participants were obtained from the CARDIA database. Variables collected included age, sex, income, education level, body mass index (BMI), blood pressure, medications, daily alcohol use, level of physical activity, medical comorbidities, and variables related to access to healthcare (e.g., identified usual source of medical care and perceived difficulty obtaining health services).
Body weight was measured to the nearest 0.2 kg with a calibrated balance beam scale. Height was measured with a vertical ruler to the nearest 0.5 cm. Seated blood pressure was measured three times at 1-min intervals after 5 min of resting, and the second and third measurements were averaged. Fasting blood was drawn in the seated position, separated, and plasma frozen to − 70 °C prior to analysis in a central laboratory.6 Glucose was assayed using the hexokinase method and insulin by the Elecsys sandwich immunoassay. Total cholesterol, high-density lipoprotein (HDL) cholesterol, and triglycerides were measured enzymatically at the Northwest Lipid Laboratory.11 LDL cholesterol was calculated using the Friedewald equation.
Obesity was defined as body mass index (BMI) ≥ 30 kg/m2.12 Hypercholesterolemia was defined as a total cholesterol level of ≥ 240 mg/dl. Hypertension was defined as antihypertensive medication use and/or systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg. Diabetes was defined as fasting plasma glucose ≥ 126 mg/dl, treatment with insulin or hypoglycemic agent, 2-h post-challenge glucose ≥ 200 mg/dl, and/or HbA1c ≥ 6.5%. The modified National Cholesterol Education Program Adult Treatment Panel III criteria were used to define the metabolic syndrome.13 To quantify physical activity (reported as exercise units (EU)), the CARDIA physical activity history questionnaire was used, which was an interviewer-based self-report of duration and intensity of participation in 13 categories of exercise over the previous 12 months.14 As a reference, 300 EU approximates 150 min of moderate-intensity activity per week or 30 min of moderate-intensity activity 5 days per week.14
Surveys were administered prior to CT imaging to all study participants during the year 25 exam to determine whether they were aware of any prior diagnosis of NAFLD. Specifically, they were asked to respond to the question “Has a doctor or nurse ever said that you have liver disease?” For all “yes” responses, participants were then asked to specify, “What type of liver disease: (a) hepatitis (type A, B, C or unsure), (b) cirrhosis, (c) fatty liver, (d) other or (e) don’t know.” Those participants who responded “yes” to the first question and specified “fatty liver” in the second question were considered to be “NAFLD aware.” All other participants were “NAFLD unaware” (Fig. 1).
Characteristics were compared by self-reported NAFLD status (unaware vs. aware) using generalized linear models for continuous variables and chi-square or Fisher’s exact test for categorical variables. Logistic regression models were used to quantify cross-sectional associations between metabolic covariates and self-reported NAFLD status (aware vs. unaware). Covariates in the multivariable model were chosen a priori for clinical importance. The multivariable model was adjusted for age, race, sex, education, and income level. Interaction terms were generated between race and sex in terms of NAFLD awareness status. Because no interactions by race or sex were noted, all models include only main effects for race and sex. Sensitivity analysis was performed a priori that included all participants who reported any history of known liver disease regardless of subtype as well as participants with moderate-to-severe hepatic steatosis. A p value < 0.05 was considered statistically significant. Analyses were performed using SAS 9.2 (SAS institute, Cary, NC).
Institutional Review Board (IRB) approval was obtained from all study sites prior to data collection. All CARDIA documents are publicly available at: https://www.cardia.dopm.uab.edu/.
Among 2788 participants who were included in this study, 667 (23.9%) had any CT-defined NAFLD and 272 (9.8%) had moderate-to-severe NAFLD. Among those with any NAFLD, the mean participant age was 50.4 (SD, 3.6 years), 301 (45.1%) were female, and 306 (45.9%) were black. The vast majority of participants reported having a usual source of medical care (92.6%). In the NAFLD group, 50.8% had a diagnosis of hypertension, 32.6% had hyperlipidemia, and 29.2% had diabetes. The mean body mass index (BMI) was 35.2 (SD, 7.3 kg/m2) with 76.5% of participants being classified as obese (BMI ≥ 30). Four hundred (60.0%) met criteria for the metabolic syndrome (Appendix Table 1 online).
Although the prevalence of any NAFLD in CARDIA was 23.9%, only 16 of 667 participants (2.4%) with any CT-defined NAFLD were aware of a NAFLD diagnosis. Even when the definition was broadened to include any self-reported liver disease, only 34 participants (5.1%) reported knowing about a prior diagnosis. Among patients with moderate-severe hepatic steatosis, 5 of 272 (1.8%) participants were aware of a NAFLD diagnosis.
Participants who were NAFLD aware were more likely to be white than participants who were unaware of a NAFLD diagnosis (81.3% vs. 54.1%, p = 0.028). There were no significant differences in age, sex, education level, income, or reported access to medical care between the NAFLD aware and NAFLD unaware groups. There were also no differences in average alcohol use or amount of physical activity between the groups (Table 1).
Participants who were aware of a NAFLD diagnosis were more likely to have the metabolic syndrome than NAFLD unaware participants (87.5% vs. 59.3%, p = 0.023). NAFLD aware participants were also more likely to have hypertension (75.0% vs. 50.2%, p = 0.050) than unaware participants. Individually, there were no significant differences in BMI, waist circumference, prevalence of diabetes, or prevalence of hyperlipidemia between the NAFLD aware and unaware groups.
In multivariable analyses adjusted for demographics (age, race, sex, education, and income), the presence of the metabolic syndrome and hypertension was associated with higher NAFLD awareness (OR 5.39, 95% CI 1.2–24.2 and OR 4.99, 95% CI 1.52–16.37, respectively). Despite this association, the prevalence of NAFLD awareness even among participants with the metabolic syndrome was low (3.5%). In sensitivity analyses using self-report of any liver disease (n = 34), these associations did not change (data not shown).
Our data demonstrate strikingly low awareness of fatty liver among a population-based sample of asymptomatic, middle-age adults with hepatic steatosis on imaging. The presence of the metabolic syndrome and hypertension was associated with increased NAFLD awareness; however, low awareness was present even among participants with metabolic risk factors that are associated with increased risk for severe liver disease and death. In conjunction with the high prevalence of hepatic steatosis noted among this sample of U.S. adults, the lack of disease awareness highlights the need for improved education and allocation of resources in our approach to the growing NAFLD epidemic.
Study participants’ lack of awareness of a NAFLD diagnosis is likely multifactorial. Possible factors include the asymptomatic nature of NAFLD early in the disease course, the lack of current screening guidelines for the disease, and poor understanding of NAFLD among patients and providers. Because hepatic steatosis generally does not lead to symptoms until the disease has progressed to the point of advanced fibrosis or cirrhosis, the disease may go undetected for years. Even among those following regularly with a physician, NAFLD is often detected incidentally on imaging exams done for other purposes.
In this study, hepatic steatosis was an incidental finding rather than a diagnosis made as part of the workup of a clinical abnormality, such as abnormal liver chemistries. It is important to note that elevated liver chemistries are not an appropriate diagnostic tool for NAFLD as many patients with NAFLD will have normal liver chemistries, and elevated liver chemistries have poor prognostic ability for the diagnosis of NASH.3, 15 In contrast, liver ultrasound or transient elastography is more sensitive than liver chemistries for detection of hepatic steatosis; however, their effectiveness as screening tools has not been systematically investigated.15
Importantly, current guidance from the American Association for the Study of Liver Diseases (AASLD) does not recommend routine screening for NAFLD in either the general population or among high-risk groups, because of uncertainties surrounding diagnostic tests and cost-effectiveness.16 However, the European Association for the Study of the Liver (EASL) does recommend screening for NAFLD with liver enzymes and/or ultrasound as part of the workup of individuals with obesity or the metabolic syndrome.17 Alternatively, some groups have recommended increased vigilance in high-risk groups, such as patients with diabetes.18 Notably, one recent study demonstrated that 11% of people with incidental hepatic steatosis on imaging are at high risk of advanced hepatic fibrosis based on the NAFLD fibrosis score and may represent a target population warranting further evaluation by a liver specialist.19
In addition to uncertainty regarding the role of screening in NAFLD, there is a lack of public understanding about the disease that likely contributed to the low awareness noted in our cohort. Prior cross-sectional clinical studies have shown poor awareness of NAFLD as a disease entity, including among those patients at high metabolic risk.20, 21 In one study in an outpatient endocrinology clinic, less than 20% of patients surveyed had heard of NAFLD.22 This poor understanding of NAFLD is particularly problematic given that lifestyle changes remain the most effective method for altering the disease course.
Unfortunately, poor public awareness may stem from poor disease understanding among practitioners, who may underestimate the prevalence of NAFLD and express uncertainty about its management.23, 24 Although the majority of primary care providers in one study identified NAFLD as an important health problem, they underestimated its prevalence and only 27% reported referring NAFLD patients to a specialist in hepatology.23 Nonhepatology sub-specialists also underestimate the prevalence of NAFLD. In one survey-based study of nongastroenterology subspecialists that included endocrinologists and cardiologists, 75% of respondents estimated the prevalence of NAFLD to be ≤ 10%.25 Furthermore, practitioners may not be talking with their patients about the risks of fatty liver before it develops. In one survey of 5000 Brooklyn residents approached in a nonmedical setting, 98% had never had a discussion with their doctor about NAFLD.20
Collectively, lack of practitioner experience combined with low patient awareness of NAFLD has potential implications for targeting “at-risk” populations for education, risk factor reduction, and appropriate referral of high-risk patients to hepatology clinics. NAFLD puts patients at higher risk for both liver-related and overall mortality.26, 27 NASH, as compared with hepatic steatosis without inflammation, is associated with more rapid progression of fibrosis.28 This is important because hepatic fibrosis is the primary predictor of liver-related mortality in NAFLD.29 Once NAFLD is identified, clinical prediction rules (e.g., NAFLD Fibrosis Score and FIB-4) and transient elastography can be used to noninvasively risk stratify patients. This allows for more targeted intervention in those at highest risk of advanced disease, which will become increasingly relevant as new therapies are approved. Counseling and risk modification are appropriate for patients at all stages of disease, and while there are no definitive data yet that such interventions will reduce liver disease progression rates, they should result in improved cardiovascular health, which is the most important cause of morbidity and mortality in NAFLD overall. Ideally, awareness of NAFLD will continue to improve among providers and the public going forward, so that patients can be risk stratified and appropriately counseled on interventions that are likely to improve metabolic and liver health.
Several limitations to this study should be noted. First, disease awareness is a result of multiple factors, including whether the diagnosis has previously been made and communicated to the patient, and whether that patient has retained the information. This analysis only reflects the end point of those processes and therefore limits our ability to interpret the underlying reasons why so few people are aware of a diagnosis of NAFLD. Second, CT has limited sensitivity for detection of hepatic steatosis compared with magnetic resonance imaging, which may have led to falsely low estimates of prevalence in this cohort.30 Third, certain data that might be helpful in characterizing an individual’s severity of liver disease are not available, such as liver chemistries and noninvasive liver fibrosis scores. Additionally, the threshold for detection of hepatic steatosis used in the current study (e.g., ≤ 51 HU, which is equivalent to a liver spleen ratio < 1.0) has high sensitivity but reduced specificity for diagnosis of NAFLD compared with lower liver attenuation thresholds.31, 32 Thus, some CARDIA participants may have been misclassified as having NAFLD. However, when a lower threshold of ≤ 40 HU (equivalent to moderate-severe hepatic steatosis) was used, the prevalence of NAFLD awareness was similar. Finally, the small number of “NAFLD aware” participants limits statistical power to assess for multiple predictors of NAFLD awareness.
In summary, our findings highlight a need for improved public and physician understanding of NAFLD, which represents an increasingly prevalent disease with significant associated morbidity and mortality. The lack of awareness demonstrated here also represents an opportunity for increased education and allocation of resources to facilitate linkage to care for patients with incidentally diagnosed NAFLD in order to prevent liver and nonliver-related adverse outcomes related to this burgeoning disease.
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The authors thank the participants of the CARDIA Study for their long-term commitment and important contributions to the study.
The CARDIA Study is supported by the National Heart, Lung, and Blood Institute (NHLBI) in collaboration with the University of Alabama at Birmingham (HHSN268201800005I & HHSN268201800007I), Northwestern University (HHSN268201800003I), University of Minnesota (HHSN268201800006I), and Kaiser Foundation Research Institute (HHSN268201800004I). Dr. VanWagner is supported by the National Institutes of Health (KL2TR001424) and the NHLBI (K23HL136891). Dr. Carr is supported by the National Institutes of Health (R01HL098445).
Informed consent was obtained at each follow-up examination. Institutional Review Board (IRB) approval was obtained from all study sites prior to data collection.
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The authors declare that they do not have a conflict of interest.
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Cleveland, E.R., Ning, H., Vos, M.B. et al. Low Awareness of Nonalcoholic Fatty Liver Disease in a Population-Based Cohort Sample: the CARDIA Study. J GEN INTERN MED 34, 2772–2778 (2019). https://doi.org/10.1007/s11606-019-05340-9
- computed tomography
- metabolic syndrome
- hepatic steatosis