Gender and racial differences in nonalcoholic fatty liver disease

Non-alcoholic fatty liver disease among people living with HIV on long-term antiretroviral therapy in Indonesia: Prevalence and related factors

Background/objectives

As people with human immunodeficiency virus experience longer life expectancy, other causes of morbidity and mortality are being increasingly identified. The incidence of non-alcoholic fatty liver disease has recently been on the rise in Indonesia. People with human immunodeficiency virus on antiretroviral therapy are also at an increased risk of having non-alcoholic fatty liver disease. The study aimed to define the prevalence and factors associated with non-alcoholic fatty liver disease in people with human immunodeficiency virus on stable antiretroviral therapy.

Methods

A cross-sectional study of people with human immunodeficiency virus, on antiretroviral therapy, age younger than 18 years old, and without hepatitis co-infection was conducted at the human immunodeficiency virus Integrated Clinic Cipto Mangunkusumo Hospital, Jakarta, Indonesia. Non-alcoholic fatty liver disease was diagnosed using transient elastography with associated controlled attenuation parameter examination (diagnostic cutoff: 238 db/m). A logistic regression test with Poisson regression was used to evaluate factors associated with non-alcoholic fatty liver disease.

Results

One hundred and five people with human immunodeficiency virus were included, with a median age of 39 years and 65.7% were men. The prevalence of non-alcoholic fatty liver disease was 52.4%. Factors related to non-alcoholic fatty liver disease were hypertension (aPR: 1.49, 95% CI: 1.03-2.14, p = 0.033) and triglyceride levels (aPR: 1.001, 95% CI: 1.000-1.002, p = 0.024). No human immunodeficiency virus-specific variables were associated with non-alcoholic fatty liver disease.

Conclusions

More than half of Indonesian people with human immunodeficiency virus on antiretroviral therapy in this study were found to have non-alcoholic fatty liver disease. Hypertension and increased triglyceride levels were related to non-alcoholic fatty liver disease. Screening for non-alcoholic fatty liver disease should be implemented as a means of early intervention and to prevent complications.

Evaluating the burden of illness of metabolic dysfunction-associated steatohepatitis in a large managed care population: The ETHEREAL Study

BACKGROUND

Metabolic dysfunction-associated steatohepatitis (MASH; formerly nonalcoholic steatohepatitis) is the inflammatory form of metabolic dysfunction-associated steatotic liver disease (formerly nonalcoholic fatty liver disease). MASH is a progressive disease associated with increased risk for many hepatic and extra-hepatic complications such as cirrhosis, hepatocellular carcinoma, the requirement for liver transplantation, and cardiovascular (CV)-related and kidney-related complications. It is important to understand the clinical and economic burden of MASH.

OBJECTIVES

To assess and compare the clinical and economic burdens of MASH in adults with the non-MASH population in a real-world setting.

METHODS

This observational, retrospective study used the Healthcare Integrated Research Database (HIRD), which contains health care claims data for commercially insured and Medicare Advantage health plan members across the United States. All-cause, CV-related, and liver-related medical costs and health care resource utilization were evaluated in patients with at least 2 diagnoses of MASH during the patient identification period (October 1, 2016, to April 30, 2022) and compared with a non-MASH cohort 1:1 matched on age, Quan Charlson Comorbidity Index, region of residence, and health plan type and length of enrollment. Generalized linear regression with negative binomial and γ distribution models were used to compare health care resource utilization and medical costs, respectively, while controlling for confounders. Covariate-adjusted all-cause, CV-related, and liver-related hospitalization rate ratios and medical cost ratios were assessed and compared for the MASH and matched non-MASH cohorts.

RESULTS

A total of 18,549 patients with MASH were compared with 18,549 matched patients in the non-MASH cohort. After adjusting for covariates, MASH was associated with significantly higher rates of hospitalization and higher medical costs compared with the non-MASH cohort. When compared with the non-MASH cohort, patients with MASH had 1.22 (95% CI = 1.15-1.30; P < 0.0001) times higher rates of all-cause hospitalization, 1.13 (95% CI = 1.03-1.24; P = 0.008) times higher rates of CV-related hospitalization, and 7.22 (95% CI = 4.91-10.61; P < 0.0001) times higher rates of liver-related hospitalization. Similarly, all-cause medical costs were 1.26 (95% CI = 1.22-1.30; P < 0.0001) times higher, CV-related medical costs were 1.66 (95% CI = 1.59-1.73; P < 0.0001) times higher, and liver-related medical costs were 7.79 (95% CI = 7.42-8.17; P < 0.0001) times higher among patients with MASH.

CONCLUSIONS

Compared with those of the non-MASH cohort with similar age, Quan Charlson Comorbidity Index, health plan, region of residence, and duration of enrollment, patients with MASH had significantly higher all-cause, CV-related, and liver-related hospitalizations and medical costs.

Disparities in Metabolic Dysfunction-Associated Steatotic Liver Disease Prevalence, Diagnosis, Treatment, and Outcomes: A Narrative Review

BACKGROUND

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is a leading cause of morbidity and mortality, and health disparities have been shown to influence disease burden.

AIM

In this review, we aim to characterize disparities in prevalence, diagnosis, treatment, and outcomes of MASLD, and to make recommendations for next steps to minimize these disparities.

METHODS

Literature search on PubMed and Scopus databases was conducted to identify relevant articles published before September 2, 2024.

RESULTS

Relative to women and White populations, MASLD is more common in men and Hispanic populations and less common in Black populations. It is also more prevalent among those with lower SES. Noninvasive clinical scores may perform differently across groups, and screening practices vary both for initial disease and for progression to metabolic dysfunctionassociated steatohepatitis (MASH), formerly called non-alcoholic steatohepatitis (NASH). Women and Black and Hispanic patients suffer worse outcomes including rates of progression to MASH and mortality.

CONCLUSIONS

Health disparities related to race, ethnicity, gender, and socioeconomic factors impact multiple stages of care for patients with MASLD.

Metabolic dysfunction-associated steatotic liver disease: The question of long-term high-normal alanine aminotransferase as a screening test

The growing prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is being driven by the obesity epidemic. The quest for solutions continues particularly with regard to early detection. This editorial comments on the utility of long-term high-normal alanine aminotransferase (ALT) in screening for MASLD. Chen et al found that new onset MASLD can be detected by repetitively high normal ALT. Implicit in this concept is the question of what should be the accepted upper limit of normal (ULN) for ALT. It was previously set at 40 IU/L based on studies that included people with subclinical liver disease but the new consensus is 30/19 U/L in healthy males/females. Thus, when Chen et al defines the ULN as 40 U/L, others may view it as excessively high. It is important to recognize the variables affecting ULN e.g. instrumentation, diurnal variations, exercise and ageing. These variables matter when the distinctions are subtle e.g. normal vs high-normal. In this regard, the utility of long-term high normal ALT as a disease marker could be enhanced by combining it with other biomarkers, imaging and MASLD genetics to create machine learning classifiers. All in all, Chen et al's work on long-term high normal ALT as a marker of new-onset MASLD deserves merit.

Liver magnetic resonance imaging, non-alcoholic fatty liver disease and metabolic syndrome risk in pre-pubertal Mexican boys

Rising global pediatric obesity rates, increase non-alcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS) prevalence, with MetS being a NAFLD risk factor. NAFLD can be asymptomatic, with liver function tests insensitive to mild disease, and liver biopsy, risking complications. Thus, we investigated multiparametric MRI (mpMRI) metrics of liver fat (proton density fat fraction, PDFF) and disease activity (fibro-inflammation; iron-corrected T1, cT1), in a Hispanic pre-pubertal pediatric cohort, with increased risk of NAFLD. Pre-pubertal boys (n = 81) of varying Body-Mass Index (BMI) were recruited in Mexico City. Most children (81%) had normal liver transaminase levels, 38% had high BMI, and 14% had ≥ 3 MetS risk factors. Applying mpMRI thresholds, 12%, 7% and 4% of the cohort had NAFLD, NASH and high-risk NASH respectively. Participants with ≥ 3 MetS risk factors had higher cT1 (834 ms vs. 737 ms, p = 0.004) and PDFF (8.7% vs. 2.2%, p < 0.001) compared to those without risk factors. Those with elevated cT1 tended to have high BMI and high insulin (p = 0.005), HOMA-IR (p = 0.005) and leptin (p < 0.001). The significant association of increased risk of MetS with abnormal mpMRI, particularly cT1, proposes the potential of using mpMRI for routine pediatric NAFLD screening of high-risk (high BMI, high MetS risk score) populations.

Reference Range of Quantitative MRI Metrics Corrected T1 and Liver Fat Content in Children and Young Adults: Pooled Participant Analysis

BACKGROUND

Multiparametric MRI markers of liver health corrected T1 (cT1) and proton density fat fraction (PDFF) have shown utility in the management of various chronic liver diseases. We assessed the normal population reference range of both cT1 and PDFF in healthy child and adult volunteers without any known liver disease.

METHODS

A retrospective multi-centre pooled analysis of 102 child and young adult (9.1 years (6-18)) volunteers from three centres: Children's Memorial Health Institute (N = 21), University Hospital Southampton (N = 28) and Hospital Infantil de Mexico (N = 53). Sex and ethnic differences were investigated for both cT1 and PDFF. Age effects were investigated with comparison to a pooled adult cohort from the UK Biobank (N = 500) and CoverScan (N = 71), covering an age range of 21 to 81 years.

RESULTS

cT1 values were normally distributed with a median of 748 ms (IQR: 725-768 ms; 2.5-97.5 percentiles: 683-820 ms). PDFF values followed a normal distribution with a median of 1.7% (IQR: 1.3-1.9%; 2.5-97.5 percentiles: 1-4.4%). There were no significant age and sex differences in cT1 and PDFF between children and young adults. No differences in cT1 and PDFF were found between ethnicities. Age comparisons showed statistically significant, but clinically negligible, cT1 (748 ms vs. 732 ms) and PDFF (2.4% vs. 1.9%) differences between paediatric and adult groups, respectively.

CONCLUSIONS

Median healthy cT1 and PDFF reference ranges in children and young adults fall within the reported limits for normal of 800 ms and 5%, respectively.

High-density lipoprotein cholesterol trajectory and new-onset metabolic dysfunction-associated fatty liver disease incidence: a longitudinal study

BACKGROUND

Although high-density lipoprotein cholesterol (HDL-C) exerts a significant influence on the development of metabolic dysfunction-associated fatty liver disease (MAFLD), the association of dynamic changes in HDL-C levels with the risk of MAFLD remains unclear. Thus, the aim of the current study was to explore the association between the changing trajectories of HDL-C and new-onset MAFLD. The findings of this study may provide a theoretical basis for future personalized intervention and prevention targeting MAFLD.

METHODS

A total of 1507 participants who met the inclusion criteria were recruited from a community-based physical examination population in Nanjing, China from 2017 to 2021. Group-based trajectory models were constructed to determine the heterogeneous HDL-C trajectories. The incidence of MAFLD in each group in 2022 was followed up, and the Cox proportional hazards regression model was applied to investigate the associations between different HDL-C trajectories and the risk of new-onset MAFLD.

RESULTS

The incidences of MAFLD in the low-stable, moderate-stable, moderate-high-stable, and high-stable groups of HDL-C trajectory were 26.5%, 13.8%, 7.2% and 2.6%, respectively. The incidence rate of MAFLD in the order of the above trajectory groups exhibited a decreasing trend (χ2 = 72.55, Ptrend<0.001). After adjusting for confounders, the risk of MAFLD onset in HDL-C low-stable group was still 5.421 times (95%CI: 1.303-22.554, P = 0.020) higher than that in the high-stable group. Subgroup analyses of the combined (moderate high-stable and high-stable groups combined), moderate-stable and low-stable groups showed that sex, age, and overweight/obesity did not affect the association between HDL-C trajectory and MAFLD risk.

CONCLUSIONS

Persistently low HDL-C level is a risk factor for the onset of MAFLD. Long-term monitoring of HDL-C levels and timely intervention for those experiencing persistent declines are crucial for early prevention of MAFLD.

Trends of primary liver cancer incidence and mortality in the United States: A population-based study over the last four decades

BACKGROUND

Primary liver cancer is the third leading cause of cancer deaths worldwide and has one of the worst 5-year survival rates. This study examines US primary liver cancer incidence and incidence-based mortality trends over four decades.

RESEARCH DESIGN AND METHODS

The SEER-9 registry was used to study primary liver cancer cases from 1978 to 2018. The incidence and mortality rates were calculated based on gender, age, race, and stage of diagnosis. Joinpoint regression software was used to calculate the annual percent change.

RESULTS

The overall incidence rate of primary liver cancer from 1978 to 2018 increased by 2.71%/year (p<0.001). Rates in patients <50 years old began to fall in 2002 at a rate of -3.62%/year (p<0.001). Similarly, the incidence-based mortality rates for primary liver cancer increased by 2.15%/year (p<0.001). Whereas Whites incidence-based mortality rates began to plateau in 2012 (0.18%/year; p = 0.84), Blacks rates have declined since 2010 (-2.93%/year; p = 0.03), and Asian rates have declined since 1999 (-1.30%/year; p<0.001).

CONCLUSION

While the overall primary liver cancer incidence and incidence-based mortality have been increasing over the last four decades, there was an observed decline in incidence and incidence-based mortality in recent years, especially among at-risk subgroups.

Sex and Race-Ethnic Disparities in Metabolic Dysfunction-Associated Steatotic Liver Disease: An Analysis of 40,166 Individuals

BACKGROUND

To overcome the limitations of the term "non-alcoholic fatty liver disease" (NAFLD), the term metabolic-associated steatotic liver disease (MASLD) was introduced. While epidemiologic studies have been conducted on MASLD, there is limited evidence on its associated sex and ethnic variations.

AIMS

This study assesses the differences across sex and race-ethnicity on the prevalence, associated risk factors and adverse outcomes in individuals with MASLD.

METHODS

Data retrieved from the National Health and Nutrition Examination Survey between 1999 to 2018 was analyzed. Prevalence, clinical characteristics, and outcomes were evaluated according to sex and race-ethnicity. Adverse outcomes and mortality events were analyzed using multivariate analyses.

RESULTS

Of 40,166 individuals included, 37.63% had MASLD. There was a significant increase in MASLD prevalence from 1999 to 2018 among Mexican Americans (Annual Percentage Change [APC] + 1.889%, p < 0.001), other Hispanics (APC + 1.661%, p = 0.013), NH Whites (APC + 1.084%, p = 0.018), NH Blacks (APC + 1.108%, p = 0.007), and females (APC + 0.879%, p = 0.030), but not males. Females with MASLD were at lower risk of all-cause (HR: 0.766, 95%CI 0.711 to 0.825, p < 0.001), cardiovascular disease-related (CVD) (SHR: 0.802, 95% CI 0.698 to 0.922, p = 0.002) and cancer-related mortality (SHR: 0.760, 95% CI 0.662 to 0.873, p < 0.001). Significantly, NH Blacks have the highest risk of all-cause and CVD-related mortality followed by NH Whites then Mexican Americans.

CONCLUSION

There has been an increase in prevalence in most race-ethnicities over time. While the change in definition shows no significant differences in previous associations found in NAFLD, the increased mortality in NH Whites relative to Mexican Americans remains to be explored.

Genotype-First Approach Identifies an Association between rs28374544/FOG2S657G and Liver Disease through Alterations in mTORC1 Signaling

Metabolic dysfunction-associated Fatty Liver Disease (MAFLD) has emerged as one of the leading cardiometabolic diseases. Friend of GATA2 (FOG2) is a transcriptional co-regulator that has been shown to regulate hepatic lipid metabolism and accumulation. Using meta-analysis from several different biobank datasets, we identified a coding variant of FOG2 (rs28374544, A1969G, S657G) predominantly found in individuals of African ancestry (minor allele frequency~20%), which is associated with liver failure/cirrhosis phenotype and liver injury. To gain insight into potential pathways associated with this variant, we interrogated a previously published genomics dataset of 38 human induced pluripotent stem cell (iPSCs) lines differentiated into hepatocytes (iHeps). Using Differential Gene Expression Analysis and Gene Set Enrichment Analysis, we identified the mTORC1 pathway as differentially regulated between iHeps from individuals with and without the variant. Transient lipid-based transfections were performed on the human hepatoma cell line (Huh7) using wild-type FOG2 and FOG2S657G and demonstrated that FOG2S657G increased mTORC1 signaling, de novo lipogenesis, and cellular triglyceride synthesis and mass. In addition, we observed a significant downregulation of oxidative phosphorylation in FOG2S657G cells in fatty acid-loaded cells but not untreated cells, suggesting that FOG2S657G may also reduce fatty acid to promote lipid accumulation. Taken together, our multi-pronged approach suggests a model whereby the FOG2S657G may promote MAFLD through mTORC1 activation, increased de novo lipogenesis, and lipid accumulation. Our results provide insights into the molecular mechanisms by which FOG2S657G may affect the complex molecular landscape underlying MAFLD.

Automated Fibrosis-4 Index: Simplifying Non-Alcoholic Fatty Liver Disease for Diabetologists

Background and Objectives: Patients with type 2 diabetes (T2D) have a high prevalence of non-alcoholic fatty liver disease (NAFLD) (55%) and are at increased risk for developing non-alcoholic steatohepatitis, a severe form of NAFLD. Early detection of advanced fibrosis in patients with T2D and NAFLD is crucial and can prevent progression to chronic liver disease, cirrhosis, and hepatocellular carcinoma. However, screening for liver disease and risk-stratification pathways are not established in patients with T2D. We evaluated the efficacy of using the automated fibrosis-4 (FIB-4) index in routine clinical settings to identify patients requiring further specialist evaluation. Materials and Methods: In this prospective cohort study, individuals diagnosed with T2D were recruited from diabetes clinics at a tertiary university hospital. Demographic, clinical, and laboratory data were comprehensively collected. The FIB-4 index was automatically calculated and integrated into the hospital's electronic medical records (EMRs), which were then stratified by age. Patients with advanced fibrosis (FIB-4 index ≥ 1.3) were referred to a specialist. Student's t-test or the Mann-Whitney U test was used to analyze variables associated with advanced fibrosis. Logistic regression was used to identify predictors of advanced fibrosis. Results: Among the 318 patients with T2D, 9.7% had advanced fibrosis. The majority were females (54.7%) and Saudi nationals (89.6%). Several factors, including age, platelet count, total bilirubin, serum albumin, total cholesterol, low-density lipoprotein, transaminases, and gamma-glutamyl transferase (GGT), showed significant associations with advanced fibrosis (all p < 0.05). Older age, elevated total bilirubin and GGT levels, and prolonged international normalized ratio emerged as independent predictors of advanced fibrosis. Conclusions: Integrating the FIB-4 index into the EMR during the routine care of patients with T2D proved to be a valuable tool in effectively identifying individuals at risk of advanced fibrosis. Our findings emphasize the need for further research to refine screening strategies in this high-risk population.

Excess cardiovascular mortality in men with non-alcoholic fatty liver disease: A cause for concern!

Non-alcoholic fatty liver disease (NAFLD) has emerged as the commonest cause of chronic liver disease worldwide in recent years. With time, our understanding of NAFLD has evolved from an isolated liver condition to a systemic disease with significant manifestations beyond the liver. Amongst them, cardiovascular diseases (CVDs) are the most important and clinically relevant. Recent research supports a strong independent link between NALFD and CVD beyond the shared risk factors and pathophysiology. Female sex hormones are well known to not only protect against CVD in pre-menopausal females, but also contribute to improved adipose tissue function and preventing its systemic deposition. Recent research highlights the increased risk of major adverse cardiovascular-cerebral events (MACCE) amongst male with NAFLD compared to females. Further, racial variation was observed in MACCE outcomes in NAFLD, with excess mortality in the Native Americans and Asian Pacific Islanders compared to the other races.

Hepatokine ITIH3 protects against hepatic steatosis by downregulating mitochondrial bioenergetics and de novo lipogenesis

Recent studies demonstrate that liver secretory proteins, also known as hepatokines, regulate normal development, obesity, and simple steatosis to non-alcoholic steatohepatitis (NASH) progression. Using a panel of ∼100 diverse inbred strains of mice and a cohort of bariatric surgery patients, we found that one such hepatokine, inter-trypsin inhibitor heavy chain 3 (ITIH3), was progressively lower in severe non-alcoholic fatty liver disease (NAFLD) disease states highlighting an inverse relationship between Itih3/ITIH3 expression and NAFLD severity. Follow-up animal and cell culture models demonstrated that hepatic ITIH3 overexpression lowered liver triglyceride and lipid droplet accumulation, respectively. Conversely, ITIH3 knockdown in mice increased the liver triglyceride in two independent NAFLD models. Mechanistically, ITIH3 reduced mitochondrial respiration and this, in turn, reduced liver triglycerides, via downregulated de novo lipogenesis. This was accompanied by increased STAT1 signaling and Stat3 expression, both of which are known to protect against NAFLD/NASH. Our findings indicate hepatokine ITIH3 as a potential biomarker and/or treatment for NAFLD.

Developing deep learning-based strategies to predict the risk of hepatocellular carcinoma among patients with nonalcoholic fatty liver disease from electronic health records

OBJECTIVE

The accuracy of deep learning models for many disease prediction problems is affected by time-varying covariates, rare incidence, covariate imbalance and delayed diagnosis when using structured electronic health records data. The situation is further exasperated when predicting the risk of one disease on condition of another disease, such as the hepatocellular carcinoma risk among patients with nonalcoholic fatty liver disease due to slow, chronic progression, the scarce of data with both disease conditions and the sex bias of the diseases. The goal of this study is to investigate the extent to which the aforementioned issues influence deep learning performance, and then devised strategies to tackle these challenges. These strategies were applied to improve hepatocellular carcinoma risk prediction among patients with nonalcoholic fatty liver disease.

METHODS

We evaluated two representative deep learning models in the task of predicting the occurrence of hepatocellular carcinoma in a cohort of patients with nonalcoholic fatty liver disease (n = 220,838) from a national EHR database. The disease prediction task was carefully formulated as a classification problem while taking censorship and the length of follow-up into consideration.

RESULTS

We developed a novel backward masking scheme to deal with the issue of delayed diagnosis which is very common in EHR data analysis and evaluate how the length of longitudinal information after the index date affects disease prediction. We observed that modeling time-varying covariates improved the performance of the algorithms and transfer learning mitigated reduced performance caused by the lack of data. In addition, covariate imbalance, such as sex bias in data impaired performance. Deep learning models trained on one sex and evaluated in the other sex showed reduced performance, indicating the importance of assessing covariate imbalance while preparing data for model training.

CONCLUSIONS

The strategies developed in this work can significantly improve the performance of hepatocellular carcinoma risk prediction among patients with nonalcoholic fatty liver disease. Furthermore, our novel strategies can be generalized to apply to other disease risk predictions using structured electronic health records, especially for disease risks on condition of another disease.

Racial and ethnic disparities in alcohol-associated liver disease in the United States: A systematic review and meta-analysis

BACKGROUND

Alcohol-associated liver disease (ALD), encompassing alcohol-associated hepatitis and alcohol-associated cirrhosis, is rising in the United States. Racial and ethnic disparities are evident within ALD; however, the precise nature of these disparities is poorly defined.

METHODS

We conducted a search of the PubMed/MEDLINE and EMBASE databases to identify studies published from inception through September 2023 that reported ALD incidence, prevalence, and mortality within the United States, stratified by race and ethnicity. We calculated pooled prevalence and incidence by race and ethnicity, including risk ratios and ORs for ALD pooled prevalence and alcohol-associated hepatitis/alcohol-associated cirrhosis pooled proportions, and OR for ALD mortality using the DerSimonian and Laird method for random-effect models.

RESULTS

We identified 25 relevant studies (16 for quantitative meta-analysis), comprising 76,867,544 patients. ALD prevalence was highest in Hispanic (4.5%), followed by White (3.1%) and Black (1.4%) individuals. Pooled risk ratios of ALD prevalence were 1.64 (95% CI: 1.12-2.39) for Hispanic and 0.59 (95% CI: 0.35-0.87) for Black compared to White individuals. Mortality among those with ALD did not significantly differ between White and Hispanic (OR: 1.54, 95% CI: 0.9-2.5; I2=0%), Black (OR: 1.2, 95% CI: 0.8-1.6; I2=0%), or Native American (OR: 2.41, 95% CI: 0.9-2.9) individuals, while there was a significant difference between White and Asian (OR: 0.1; 95% CI: 0.03-0.5) individuals. Most data were cross-sectional and assessed to be of poor or fair quality.

CONCLUSIONS

Differences were observed in ALD epidemiology, including higher prevalence among Hispanic and lower prevalence among Black individuals, although there were smaller differences in ALD mortality. Differences in ALD prevalence and prognosis remain poorly defined based on existing data, highlighting a need for higher-quality epidemiological studies in this area.