Differences between current clinical guidelines for screening, diagnosis and management of nonalcoholic fatty liver disease and real-world practice: a targeted literature review

Racial Disparities in Evidence-Based Management of Metabolic Dysfunction-Associated Steatotic Liver Disease in Patients With Type 2 Diabetes

OBJECTIVE

To assess frequency of evidence-based management (EBM) of metabolic dysfunction-associated steatotic liver disease (MASLD) in patients with type 2 diabetes (T2D), and to examine for racial/ethnic disparities in the receipt of EBM.

METHODS

We conducted a cross-sectional analysis of patients with T2D and presumptive MASLD in an academic health care system between 2019 and 2021. Presumptive MASLD was defined as at least 1 alanine aminotransferase value ≥30 U/L with exclusions for alcohol overuse, viral hepatitis, liver transplantation, chemotherapy use, and liver disease other than MASLD. We calculated the proportion of patients receiving EBM, defined as a composite of liver ultrasound, transient elastography, or hepatology evaluation. We also examined the association between race/ethnicity and EBM via a logistic regression model.

RESULTS

Our sample included 6532 patients; mean age was 58.0 (SD 13.1), 41.7% were female and 3.9%, 26.6%, 58.7%, and 5.8% were of Latino/a/x ethnicity, non-Latino (NL) Black race, NL White race, and NL Asian race, respectively. Rates of EBM were low overall (11.5%), with lower odds of EBM in NL Black versus NL White patients (adjusted odds ratio 0.75; 95% confidence interval 0.59, 0.96). Odds of hepatology evaluation and placement of MASLD diagnosis codes were also lower in NL Black versus NL White patients.

CONCLUSION

Racial disparities exist in the receipt of EBM among patients with T2D and presumptive MASLD. These findings highlight the need for research to identify drivers of disparities, and to support development of clinical interventions that equitably facilitate EBM of MASLD in patients with T2D.

Developing and validating clinical prediction models in hepatology - An overview for clinicians

Prediction models are everywhere in clinical medicine. We use them to assign a diagnosis or a prognosis, and there have been continuous efforts to develop better prediction models. It is important to understand the fundamentals of prediction modelling, thus, we herein describe nine steps to develop and validate a clinical prediction model with the intention of implementing it in clinical practice: Determine if there is a need for a new prediction model; define the purpose and intended use of the model; assess the quality and quantity of the data you wish to develop the model on; develop the model using sound statistical methods; generate risk predictions on the probability scale (0-100%); evaluate the performance of the model in terms of discrimination, calibration, and clinical utility; validate the model using bootstrapping to correct for the apparent optimism in performance; validate the model on external datasets to assess the generalisability and transportability of the model; and finally publish the model so that it can be implemented or validated by others.

Use of non-invasive diagnostic tools for metabolic dysfunction-associated steatohepatitis: A qualitative exploration of challenges and barriers

BACKGROUND AND AIMS

Non-invasive tests (NITs) are underutilized for diagnosis and risk stratification in metabolic dysfunction-associated steatotic liver disease (MASLD), despite good accuracy. This study aimed to identify challenges and barriers to the use of NITs in clinical practice.

METHODS

We conducted a qualitative exploratory study in Germany, Italy, United Kingdom and United States. Phase 1 participants (primary care physicians, hepatologists, diabetologists, researchers, healthcare administrators, payers and patient advocates; n = 29) were interviewed. Phase 2 participants (experts in MASLD; n = 8) took part in a group discussion to validate and expand on Phase 1 findings. Finally, we triangulated perspectives in a hybrid deductive/inductive thematic analysis.

RESULTS

Four themes hindering the use of NITs emerged: (1) limited knowledge and awareness; (2) unclear referral pathways for patients affected by liver conditions; (3) uncertainty over the value of NITs in monitoring and managing liver diseases; and (4) challenges justifying system-level reimbursement. Through these themes, participants perceived a stigma associated with liver diseases, and primary care physicians generally lacked awareness, adequate knowledge and skills to use recommended NITs. We identified uncertainties over the results of NITs, specifically to guide lifestyle intervention or to identify patients that should be referred to a specialist. Participants indicated an ongoing need for research and development to improve the prognostic value of NITs and communicating their cost-effectiveness to payers.

CONCLUSIONS

This qualitative study suggests that use of NITs for MASLD is limited due to several individual and system-level barriers. Multi-level interventions are likely required to address these barriers.

Safety-Net Primary Care and Endocrinology Clinicians' Knowledge and Perspectives on Screening for Nonalcoholic Fatty Liver Disease: A Mixed-Methods Evaluation

OBJECTIVE

Clinical guidelines have expanded the indications for nonalcoholic fatty liver disease (NAFLD) screening to type 2 diabetes mellitus and obesity, which are conditions common in populations who receive care in urban safety-net settings. This study aimed to evaluate safety-net primary care and endocrinology clinicians' knowledge of NAFLD, determine barriers and facilitators to screening, and examine perspectives on the use of electronic health record tools for risk assessment.

METHODS

Sequential explanatory mixed methods using survey and qualitative interviews with primary care, primary care subspecialty, and endocrinology clinicians in an urban safety-net health care system.

RESULTS

A total of 109 participants completed the survey (36.5% response rate), and 13 participated in interviews. Most respondents underestimated or did not know the prevalence of NAFLD (68%), did not use the recommended noninvasive tests for risk stratification (65%), and few were comfortable with screening for (27%) or managing (17%) NAFLD. Endocrinologists had greater knowledge of risk factors but lower rates of comfort and more often felt that screening was not their responsibility. The qualitative themes included the following: (1) lack of knowledge about screening, (2) concern for underdiagnosing NAFLD, (3) perception of severity impacts beliefs about screening, (4) screening should occur in primary care but is not normative practice, (5) concerns exist about benefit, (6) competing demands with a complex population hinder screening, and (7) a need for easier ways to integrate screening into practice.

CONCLUSION

Knowledge gaps may hamper uptake of new guidelines for NAFLD screening in primary care and endocrinology clinics in an urban safety-net health care system. Implementation strategies focused on training and educating clinicians and informed by behavioral economics may increase screening.

Nutritional Support for Liver Diseases

The liver is a key organ that is responsible for the metabolism of proteins, fats, and carbohydrates and the absorption and storage of micronutrients. Unfortunately, the prevalence of chronic liver diseases at various stages of advancement in the world population is significant. Due to the physiological function of the liver, its dysfunction can lead to malnutrition and sarcopenia, and the patient's nutritional status is an important prognostic factor. This review discusses key issues related to the diet therapy of patients with chronic liver diseases, as well as those qualified for liver transplantation and in the postoperative period.

Nonalcoholic liver disease: Epidemiology, risk factors, natural history, and management strategies

Nonalcoholic fatty liver disease (NAFLD) is now the most common chronic liver disease worldwide and a leading indication for liver transplantation in the United States. NAFLD encompasses a heterogeneous clinicopathologic spectrum, ranging from nonalcoholic fatty liver (NAFL) to nonalcoholic steatohepatitis, and progressive fibrosis, which can lead to end-stage liver disease including cirrhosis and hepatocellular cancer. Predictive models suggest that over 100 million adults in the United States will have NAFLD by 2030, representing over a third of the population. In this manuscript, we provide an overview of NAFLD risk factors, natural history (including hepatic and extra-hepatic outcomes), diagnosis, and current management strategies.

Diagnostic scores and scales for appraising Nonalcoholic fatty liver disease and omics perspectives for precision medicine

PURPOSE OF REVIEW

Nonalcoholic fatty liver disease (NAFLD) is a rising epidemic burden affecting around 25% of the global population. Liver biopsy remains the reference for NAFLD. However, the application of several scales and clinical algorithms have been proposed to diagnose NAFLD using prediction questions and blood biomarkers. This review presents a summarized of the currently available and emerging diagnostic biomarkers and scores used to assess NAFLD.

RECENT FINDINGS

The limitations of liver biopsy have fostered the development of alternative noninvasive strategies, which have been an area of intensive investigation over the past years. Diagnostic scores for NAFLD have shown to be a good alternative for disease diagnosis and prognosis due to a suitable applicability, good inter-laboratory reproducibility and widespread potential availability with reasonable costs.

SUMMARY

The growing NAFLD pandemic urges clinicians to seek alternatives for screening, early diagnosis, and follow-up, especially for those with contraindications for liver biopsy. New promising noninvasive biomarkers and techniques have been developed, evaluated and assessed, including diagnostic biomarkers scores. Moreover, multiomics markers panels involving phenotype, genotype, microbiome and clinical characteristics from patients will facilitate the diagnosis, stratification and prognosis of NAFLD patients with precision medicine approaches.

Prevalence and Risk Factors of Advanced Liver Fibrosis in a Population-Based Study in Germany

The prevalence of liver disease, and especially of advanced liver fibrosis, in the German population is poorly defined. The aim of the study was to explore liver enzymes and surrogate scores of hepatic steatosis and advanced hepatic fibrosis in a population-based cohort study in Germany. In the cross-sectional population-based Gutenberg Health study, data of 14,950 participants enrolled between 2007 and 2012 were captured and analyzed. The distribution of alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyltransferase (GGT), fatty liver index (FLI), and Fibrosis-4 (FIB-4) score, as well as the underlying risk factors, were assessed by regression models. Elevated liver enzymes in this population-based sample were seen in 19.9% for ALT, 12.8% for AST, and 14% for GGT. Risk factors for liver disease included alcohol use and the presence of the metabolic syndrome, which were both risk factors associated with increased liver enzymes. The FLI suggested that 37.5% of the population exhibited hepatic steatosis and 1.1% of patients exhibited a FIB-4 above the upper cutoff, while 19.2% were in the intermediate range. Interestingly, advanced fibrosis was significantly more frequent in men compared with women (FIB-4: 1.5% vs. 0.6% [P < 0.0001]; NFS: 3.6% vs. 1.9% [P < 0.0001]). In addition, age was a relevant risk factor for exhibiting a noninvasive surrogate score suggestive of advanced fibrosis in the current study population. Conclusion: Elevated liver enzymes were seen in almost a fifth of the German population. At the population-based level, the prevalence of advanced fibrosis was estimated at 1% in Germany.

NAFLD in normal weight individuals

Nonalcoholic fatty liver disease (NAFLD) can develop in lean individuals. Despite a better metabolic profile, the risk of disease progression to hepatic inflammation, fibrosis, and decompensated cirrhosis in the lean is similar to that in obesity-related NAFLD and lean individuals may experience more severe hepatic consequences and higher mortality relative to those with a higher body mass index (BMI). In the absence of early symptoms and abnormal laboratory findings, lean individuals are not likely to be screened for NAFLD or related comorbidities; however, given the progressive nature of the disease and the increased risk of morbidity and mortality, a clearer understanding of the natural history of NAFLD in lean individuals, as well as efforts to raise awareness of the potential health risks of NAFLD in lean individuals, are warranted. In this review, we summarize available data on NAFLD prevalence, clinical characteristics, outcomes, and mortality in lean individuals and discuss factors that may contribute to the development of NAFLD in this population, including links between dietary and genetic factors, menopausal status, and ethnicity. We also highlight the need for greater representation of lean individuals in NAFLD-related clinical trials, as well as more studies to better characterize lean NAFLD, develop improved screening algorithms, and determine specific treatment strategies based on underlying etiology.

Sex-specific contribution of lipid accumulation product and cardiometabolic index in the identification of nonalcoholic fatty liver disease among Chinese adults

Background

Lipid accumulation product (LAP) and cardiometabolic index (CMI) are two novel obesity-related indexes associated with enhancing metabolic disease (MD) risk. Current evidences suggest that the differences in sex hormones and regional fat distribution in both sexes are directly correlated with MD and nonalcoholic fatty liver disease (NAFLD) risk. Hence, NAFLD incidences reflect sex differences. Herein, we examined the accuracy of LAP and CMI in diagnosing NAFLD in both sexes.

Methods

Overall, 14,407 subjects, who underwent health check-up in the northeastern China, were enrolled in this study, and their corresponding LAP and CMI were calculated. Abdominal ultrasonography was employed for NAFLD diagnosis. Multivariate analyses were analyzed potential correlations between LAP and/or CMI and NAFLD. Odds ratios (ORs) and 95% confidence intervals (CIs) were evaluated. Receiver operating characteristic curve analyses was executed for the exploration of the diagnostic accuracies. Areas under the curves (AUCs) with 95%CIs were calculated.

Results

NAFLD prevalence increased with elevated quartiles of LAP and CMI in both sexes. In multivariate logistic regression analyses, LAP and CM expressed as continuous variables or quartiles, significantly correlated with NAFLD. The ORs for the top versus bottom quartile of LAP and CMI for NAFLD were 13.183 (95%CI = 8.512–20.417) and 8.662 (95%CI = 6.371–11.778) in women and 7.544 (95%CI = 5.748–9.902) and 5.400 (95%CI = 4.297–6.786) in men. LAP and CMI exhibited larger AUCs, compared to other obesity-related indexes in terms of discriminating NAFLD. The AUCs of LAP and CMI were 0.860 (95%CI = 0.852–0.867) and 0.833 (95%CI = 0.825–0.842) in women and 0.816 (95%CI = 0.806–0.825) and 0.779 (95%CI = 0.769–0.789) in men.

Conclusions

LAP and CMI are convenient indexes for the screening and quantification of NAFLD within a Chinese adult population. Their associations with NAFLD are substantially greater in women than men.