Opioid use and risks in liver transplant candidates and recipients.

Opioid use is extremely prevalent among cirrhosis and liver transplant (LT) patients, despite concerns regarding opioid-related risks in this population. While there are many theoretical risks of opioids in patients with hepatic dysfunction, there is limited evidence on the effect of opioid use on clinical outcomes in cirrhosis and pre- and post-LT patients specifically. As a result there is significant center-level variability in opioid-related practice and policies. The existing data-largely based on retrospective observational studies-does suggest that opioids are associated with increased health resource utilization pre- and post-LT, and that they may precipitate hepatic encephalopathy (HE) in patients with cirrhosis and increase risk of graft loss and death post-LT. The strongest predictor of opioid use post-LT is opioid use prior to transplant; thus, a focus on safe opioid use in the pre- and peri-transplant periods is essential for minimizing opioid-related harms. We describe three strategies to guide LT providers, including: 1) Improved characterization of pain, mental health symptoms, and opioid and polysubstance use; 2) Minimization of opioid prescriptions for those at highest risk of adverse events; and 3) Safe prescribing strategies for those who do use opioids and for management of opioid use disorder (OUD). Ultimately, our goal is to improve quality of life and transplant outcomes among cirrhosis and LT patients, particularly those living with concurrent pain, mental health, and substance use disorders.

Positron emission tomography myocardial perfusion imaging (PET MPI) findings predictive of post-liver transplant major adverse cardiac events.

Positron emission tomography myocardial perfusion imaging (PET MPI) is a noninvasive diagnostic test capable of detecting coronary artery disease, structural heart disease, and myocardial flow reserve (MFR). We aimed to determine the prognostic utility of PET MPI to predict post-liver transplant (LT) major adverse cardiac events (MACE). Among the 215 LT candidates that completed PET MPI between 2015 and 2020, 84 underwent LT and had 4 biomarker variables of clinical interest on pre-LT PET MPI (summed stress and difference scores, resting left ventricular ejection fraction, global MFR). Post-LT MACE were defined as acute coronary syndrome, heart failure, sustained arrhythmia, or cardiac arrest within the first 12 months post-LT. Cox regression models were constructed to determine associations between PET MPI variable/s and post-LT MACE. The median LT recipient age was 58 years, 71% were male, 49% had NAFLD, 63% reported prior smoking, 51% had hypertension, and 38% had diabetes mellitus. A total of 20 MACE occurred in 16 patients (19%) at a median of 61.5 days post-LT. One-year survival of MACE patients was significantly lower than those without MACE (54% vs. 98%, p =0.001). On multivariate analysis, reduced global MFR ≤1.38 was associated with a higher risk of MACE [HR=3.42 (1.23-9.47), p =0.019], and every % reduction in left ventricular ejection fraction was associated with an 8.6% higher risk of MACE [HR=0.92 (0.86-0.98), p =0.012]. Nearly 20% of LT recipients experienced MACE within the first 12 months of LT. Reduced global MFR and reduced resting left ventricular ejection fraction on PET MPI among LT candidates were associated with increased risk of post-LT MACE. Awareness of these PET-MPI parameters may help improve cardiac risk stratification of LT candidates if confirmed in future studies.

Predictive Algorithm for Hepatic Steatosis Detection Using Elastography Data in the Veterans Affairs Electronic Health Records.

BACKGROUND AND AIMS: Nonalcoholic fatty liver disease (NAFLD) has reached pandemic proportions. Early detection can identify at-risk patients who can be linked to hepatology care. The vibration-controlled transient elastography (VCTE) controlled attenuation parameter (CAP) is biopsy validated to diagnose hepatic steatosis (HS). We aimed to develop a novel clinical predictive algorithm for HS using the CAP score at a Veterans' Affairs hospital. METHODS: We identified 403 patients in the Greater Los Angeles VA Healthcare System with valid VCTEs during 1/2018-6/2020. Patients with alcohol-associated liver disease, genotype 3 hepatitis C, any malignancies, or liver transplantation were excluded. Linear regression was used to identify predictors of NAFLD. To identify a CAP threshold for HS detection, receiver operating characteristic analysis was applied using liver biopsy, MRI, and ultrasound as the gold standards. RESULTS: The cohort was racially/ethnically diverse (26% Black/African American; 20% Hispanic). Significant positive predictors of elevated CAP score included diabetes, cholesterol, triglycerides, BMI, and self-identifying as Hispanic. Our predictions of CAP scores using this model strongly correlated (r = 0.61, p < 0.001) with actual CAP scores. The NAFLD model was validated in an independent Veteran cohort and yielded a sensitivity of 82% and specificity 83% (p < 0.001, 95% CI 0.46-0.81%). The estimated optimal CAP for our population cut-off was 273.5 dB/m, resulting in AUC = 75.5% (95% CI 70.7-80.3%). CONCLUSION: Our HS predictive algorithm can identify at-risk Veterans for NAFLD to further risk stratify them by non-invasive tests and link them to sub-specialty care. Given the biased referral pattern for VCTEs, future work will need to address its applicability in non-specialty clinics. Proposed clinical algorithm to identify patients at-risk for NAFLD prior to fibrosis staging in Veteran.

Weight Loss and Weight Regain in Usual Clinical Practice: Results From the TARGET-NASH Observational Cohort.

First-line treatment for nonalcoholic fatty liver disease (NAFLD) focuses on weight loss through lifestyle modifications.1,2 Weight loss ≥5% results in reduction of steatosis and weight loss ≥10% has been associated with improvement in hepatic inflammation and fibrosis.3 The incidence and sustainability of weight loss among patients with NAFLD were estimated and associating factors identified.

Antiviral therapy use and related outcomes in patients with cancer and viral infections: results from SWOG S1204.

PURPOSE: Information is limited about adherence to practice guidelines in patients with hepatitis B virus (HBV), hepatitis C virus (HCV), or HIV infection receiving anticancer treatment. METHODS: Newly diagnosed adult cancer patients were enrolled in a multicenter, prospective cohort study (SWOG S1204) during 2013-2017 to evaluate the prevalence of HBV, HCV, or HIV in patients initiating anticancer treatment. At 6 months, records of virus-positive patients were reviewed for antiviral therapy use; anticancer treatment dose reduction; and HBV reactivation (elevated viral load). Categorical variables were compared using chi-square or Fisher's exact test. RESULTS: Of 3055 enrolled patients with viral testing, 230 had chronic or past HBV, HCV, or HIV with 6-month follow-up data (chronic HBV, 15 patients; past HBV, 158; HCV, 49; HIV, 30). Twenty percent (3/15) of chronic HBV and 11% (17/158) of past HBV patients were co-infected with HCV and/or HIV. Rates of antiviral therapy use by 6 months were as follows: chronic HBV, 85% (11/13); past HBV receiving anti-B cell therapy, 60% (3/5); past HBV receiving systemic anticancer therapy without anti-B cell therapy, 8% (8/105); HCV, 6% (2/35); and HIV, 90% (19/21). Among patients with available data, anticancer treatment dose was reduced in 1 of 145 patients with past HBV and 1 of 42 with HCV. HBV reactivation occurred in 1 of 15 patients with chronic HBV; this patient was not receiving antiviral therapy. CONCLUSION: Many patients with cancer and viral infections either do not receive guideline-recommended antiviral treatment or receive antiviral treatment that is not recommended in guidelines. Further education is needed to improve adherence to guidelines.

Disease Knowledge, Health-Related Quality of Life, and Lifestyle Behavior Change in Patients with Nonalcoholic Fatty Liver Disease: Impact of an Educational Intervention.

BACKGROUND: Lifestyle modification is currently the only treatment for nonalcoholic fatty liver disease (NAFLD). The most effective way to motivate behavior change in this population is not well understood. AIMS: The aims of this study were to characterize the association between patient disease knowledge, attitudes, and behaviors and to determine the impact of an educational intervention. METHODS: Adults with NAFLD had the following assessed before and after an educational intervention: (1) disease knowledge; (2) health-related quality of life (HRQOL); (3) physical activity; (4) diet; (5) stages of change; and (6) clinical variables. RESULTS: Median age of the cohort (N = 248) was 53.5, 46% were male, 85% were white, and median body mass index was 33.9. Forty-eight percentage had nonalcoholic steatohepatitis, and 28% had cirrhosis. The median correct knowledge score was 73.6%, median Chronic Liver Disease Questionnaire-NAFLD was 5.2/7, and diet score was 7/16 (higher indicating unhealthy diets). The cohort was sedentary at baseline, with 46% and 60% in active phases of change for nutrition and physical activity, respectively. Fifty-six (22%) had all three high-risk behaviors (sedentary, poor diet scores, low stage of change), which was independently associated with depression. The educational intervention improved diet scores, HRQOL, stages of change, and weight. CONCLUSIONS: Despite good disease knowledge, NAFLD participants were sedentary and 1/4 had high-risk lifestyle behaviors. An educational intervention had positive impacts on clinical outcomes, though effect size was small. Pairing educational interventions with targeted interventions to motivate behavior change can improve care for patients with NAFLD.

Impact of a Pilot Structured Mobile Technology Based Lifestyle Intervention for Patients with Nonalcoholic Fatty Liver Disease.

BACKGROUND AND AIMS: Lifestyle modification is the main treatment for nonalcoholic fatty liver disease (NAFLD), but remains challenging to implement. The aim of this pilot was to assess the acceptability and feasibility of a mobile-technology based lifestyle program for NAFLD patients. METHODS: We enrolled adult patients with NAFLD in a 6-month mobile-technology based program where participants received a FitBit with weekly tailored step count goals and nutritional assessments. Anthropometrics, hepatic and metabolic parameters, Fibroscan, physical function and activity, and health-related quality of life measures were obtained at enrollment and month 6. Semi-structured exit interviews were conducted to assess patient's experience with the program. RESULTS: 40 (63%) eligible patients were enrolled. Median age was 52.5 with 53% males, 93% whites, 43% with diabetes and median BMI 33.9. On baseline Fibroscan, 59% had F0-2 fibrosis and 70% had moderate-severe steatosis. 33 patients completed the study. Median percentage of days with valid FitBit data collection was 91. 4 patients increased and maintained, 19 maintained, and 8 increased but subsequently returned to baseline weekly step count. 59% of patients reported Fitbit was easy to use and 66% felt step count feedback motivated them to increase their activity. Roughly 50% of patients had reduction in weight, triglycerides and Fibroscan liver stiffness, and 75% had improvement in controlled attenuation parameter and physical function. CONCLUSIONS: A 6-month mobile-technology based pilot lifestyle intervention was feasible and acceptable to NAFLD patients. The program promoted physical activity and was associated with improvement in clinical parameters in some patients.

The relationship between frailty and cirrhosis etiology: From the Functional Assessment in Liver Transplantation (FrAILT) Study.

BACKGROUND & AIMS: Cirrhosis leads to malnutrition and muscle wasting that manifests as frailty, which may be influenced by cirrhosis aetiology. We aimed to characterize the relationship between frailty and cirrhosis aetiology. METHODS: Included were adults with cirrhosis listed for liver transplantation (LT) at 10 US centrer who underwent ambulatory testing with the Liver Frailty Index (LFI; 'frail' = LFI ≥ 4.4). We used logistic regression to associate aetiologies and frailty, and competing risk regression (LT as the competing risk) to determine associations with waitlist mortality (death/delisting for sickness). RESULTS: Of 1,623 patients, rates of frailty differed by aetiology: 22% in chronic hepatitis C, 31% in alcohol-associated liver disease (ALD), 32% in non-alcoholic fatty liver disease (NAFLD), 21% in autoimmune/cholestatic and 31% in 'other' (P < .001). In univariable logistic regression, ALD (OR 1.53, 95% CI 1.12-2.09), NAFLD (OR 1.64, 95% CI 1.18-2.29) and 'other' (OR 1.58, 95% CI 1.06-2.36) were associated with frailty. In multivariable logistic regression, only ALD (OR 1.40; 95% 1.01-1.94) and 'other' (OR 1.59; 95% 1.05-2.40) remained associated with frailty. A total of 281 (17%) patients died/were delisted for sickness. In multivariable competing risk regression, LFI was associated with waitlist mortality (sHR 1.05, 95% CI 1.03-1.06), but aetiology was not (P > .05 for each). No interaction between frailty and aetiology on the association with waitlist mortality was found (P > .05 for each interaction term). CONCLUSIONS: Frailty is more common in patients with ALD, NAFLD and 'other' aetiologies. However, frailty was associated with waitlist mortality independent of cirrhosis aetiology, supporting the applicability of frailty across all cirrhosis aetiologies.

Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort.

BACKGROUND: Patients with hepatitis C virus (HCV) frequently remain at risk for cirrhosis after sustained virologic response (SVR). Existing cirrhosis predictive models for HCV do not account for dynamic antiviral treatment status and are limited by fixed laboratory covariates and short follow up time. Advanced fibrosis assessment modalities, such as transient elastography, remain inaccessible in many settings. Improved cirrhosis predictive models are needed. METHODS: We developed a laboratory-based model to predict progression of liver disease after SVR. This prediction model used a time-varying covariates Cox model adapted to utilize longitudinal laboratory data and to account for antiretroviral treatment. Individuals were included if they had a history of detectable HCV RNA and at least 2 AST-to-platelet ratio index (APRI) scores available in the national Veterans Health Administration from 2000 to 2015, Observation time extended through January 2019. We excluded individuals with preexisting cirrhosis. Covariates included baseline patient characteristics and 16 time-varying laboratory predictors. SVR, defined as permanently undetectable HCV RNA after antiviral treatment, was modeled as a step function of time. Cirrhosis development was defined as two consecutive APRI scores > 2. We predicted cirrhosis development at 1-, 3-, and 5-years follow-up. RESULTS: In a national sample of HCV patients (n = 182,772) with a mean follow-up of 6.32 years, 42% (n = 76,854) achieved SVR before 2016 and 16.2% (n = 29,566) subsequently developed cirrhosis. The model demonstrated good discrimination for predicting cirrhosis across all combinations of laboratory data windows and cirrhosis prediction intervals. AUROCs ranged from 0.781 to 0.815, with moderate sensitivity 0.703-0.749 and specificity 0.723-0.767. CONCLUSION: A novel adaptation of time-varying covariates Cox modeling technique using longitudinal laboratory values and dynamic antiviral treatment status accurately predicts cirrhosis development at 1-, 3-, and 5-years among patients with HCV, with and without SVR. It improves upon earlier cirrhosis predictive models and has many potential population-based applications, especially in settings without transient elastography available.

Cost-Effectiveness Analysis of Screening for Hepatitis B Virus Infection in Patients With Solid Tumors Before Initiating Chemotherapy.

BACKGROUND & AIMS: Patients with solid tumors who undergo chemotherapy have an increased risk of hepatitis B virus (HBV) reactivation, but a low proportion of these patients are screened for HBV infection and guidelines make conflicting recommendations. Further, the cost-effectiveness of newer treatments for HBV prophylaxis has not been examined for this population. We aimed to analyze the cost-effectiveness of HBV screening before chemotherapy for patients with solid tumors. METHODS: We compared 3 HBV screening strategies (screen all, screen only high-risk patients, or screen none) using a Markov model of a population of adults in the United States who initiated chemotherapy for a solid tumor. We modeled use of entecavir prophylaxis for HB surface antigen (HBsAg)-positive patients and surveillance for HBsAg-negative patients who are positive for HBV core antibody. The Markov cycle length was 1 year, with model simulation for up to 5 years. RESULTS: The screen all strategy was the most cost effective, with an incremental cost-effectiveness ratio of $42,761 compared to screening only high-risk patients. The screen none strategy was less effective and less costly than screening all patients or only high-risk patients. The screen-all strategy was the most cost effective for all estimates of prevalence of HBsAg-positive patients and estimates of HBV reactivation in HBsAg-positive patients. Screening only high-risk patients was the most cost-effective strategy when more than 25% of high-risk patients were screened for HBV infection. CONCLUSIONS: In a Markov model analysis, we found screening all patients with solid tumors for HBV infection before chemotherapy to be the most cost-effective strategy. Guidelines should consider recommending HBV tests for patients initiating chemotherapy.

Eliciting patient views on the allocation of limited healthcare resources: a deliberation on hepatitis C treatment in the Veterans Health Administration.

BACKGROUND: In response to the development of highly effective but expensive new medications, policymakers, payors, and health systems are considering novel and pragmatic ways to provide these medications to patients. One approach is to target these treatments to those most likely to benefit. However, to maximize the fairness of these policies, and the acceptance of their implementation, the values and beliefs of patients should be considered. The provision of treatments for chronic hepatitis C (CHC) in the resource-constrained context of the Veterans Health Administration (VHA) offered a real-world example of this situation, providing the opportunity to test the value of using Democratic Deliberation (DD) methods to solicit the informed opinions of laypeople on this complex issue. METHODS: We recruited Veterans (n = 30) from the VHA to attend a DD session. Following educational presentations from content experts, participants engaged in facilitated small group discussions to: 1) identify strategies to overcome CHC treatment barriers and 2) evaluate, vote on, and modify/improve two CHC treatment policies - "first come, first served" (FCFS) and "sickest first" (SF). We used transcripts and facilitators' notes to identify key themes from the small group discussions. Additionally, participants completed pre- and post-DD surveys. RESULTS: Most participants endorsed the SF policy over the FCFS policy, emphasizing the ethical and medical appropriateness of treating the sickest first. Concerns about SF centered on the difficulty of implementation (e.g., how is "sickest" determined?) and unfairness to other Veterans. Proposed modifications focused on: 1) the need to consider additional health factors, 2) taking behavior and lifestyle into account, 3) offering education and support, 4) improving access, and 5) facilitating better decision-making. CONCLUSIONS: DD offered a robust and useful method for addressing the allocation of the scarce resource of CHC treatment. Participants were able to develop a modified version of the SF policy and offered diverse recommendations to promote fairness and improve quality of care for Veterans. DD is an effective approach for incorporating patient preferences and gaining valuable insights for critical healthcare policy decisions in resource-limited environments.

New and emerging treatments for metabolic dysfunction-associated steatohepatitis.

Metabolic dysfunction-associated steatohepatitis (MASH) is a leading etiology of chronic liver disease worldwide, with increasing incidence and prevalence in the setting of the obesity epidemic. MASH is also a leading indication for liver transplantation, given its associated risk of progression to end-stage liver disease. A key challenge in managing MASH is the lack of approved pharmacotherapy. In its absence, lifestyle interventions with a focus on healthy nutrition and regular physical activity have been the cornerstone of therapy. Real-world efficacy and sustainability of lifestyle interventions are low, however. Pharmacotherapy development for MASH is emerging with promising data from several agents with different mechanisms of action (MOAs) in phase 3 clinical trials. In this review, we highlight ongoing challenges and potential solutions in drug development for MASH and provide an overview of available data from emerging therapies across multiple MOAs.

Implementation of a randomized mobile-technology lifestyle program in individuals with nonalcoholic fatty liver disease.

Identifying effective, feasible, low-cost interventions that promote sustainable lifestyle changes in nonalcoholic fatty liver disease (NAFLD) is a key unmet need. The aim of this study was to assess predictors of lifestyle practice patterns of NAFLD patients and evaluate the implementation of a mobile technology-based intervention. We prospectively enrolled adults with NAFLD (diagnosed by imaging or biopsy). Individuals with additional liver diseases or decompensated cirrhosis were excluded. Patient were randomized to usual care or a FitBit based program for 6-months. We obtained anthropometrics, labs, vibration controlled transient elastography (VCTE), health-related quality of life (HRQOL), physical activity, diet and motivation to change data. 70 patients were enrolled, 33% with cirrhosis. Median age was 52.1 years, 47% males, 83% white, body mass index 32.3, liver stiffness 7.6 kPa, controlled attenuation parameter 319 db/m, and 50% had diabetes. Baseline HRQOL was 5.4/7 and independently negatively correlated with level of concern about their disease and positively with physical function. Younger age was independently associated with unhealthy diets whereas diabetes was independently associated with unhealthy diets and higher VCTE kPa. 6-month follow-up data available on 31 patients showed trends in improvement in weight. In a cohort of NAFLD patients, we identified independent correlates of lifestyle behaviors and HRQOL. Implementation of interventions that improve physical function may improve HRQOL in NAFLD. Younger patients and those with diabetes appeared to have the greatest need for dietary interventions. Structured mobile technology lifestyle interventions using Fitbit and personalized coaching showed promise but require further validation with a focus on sustainability of intervention and improvement in outcomes.

Low liver fat in non-alcoholic steatohepatitis-related significant fibrosis and cirrhosis is associated with hepatocellular carcinoma, decompensation and mortality.

BACKGROUND: Progression to cirrhosis in non-alcoholic steatohepatitis (NASH) is associated with a decrease in liver fat. However, the prognostic significance of liver fat content in NASH-related significant fibrosis and cirrhosis is unclear. AIM: To investigate the risk of decompensation, hepatocellular carcinoma (HCC) and mortality stratified by liver fat content in NASH-related significant fibrosis and cirrhosis. METHODS: In this meta-analysis of individual participant data, 456 patients with both magnetic resonance elastography (MRE) and MRI-derived protein density fat fraction (MRI-PDFF) were enrolled, and 296 patients with longitudinal follow-up were analysed. MRE combined with fibrosis-4 (MEFIB-index), and MRI-PDFF were used to measure liver fibrosis and fat, respectively. MEFIB-negative, MEFIB-positive+ MRI-PDFF ≥5% and MEFIB-positive+ MRI-PDFF <5% were defined as no significant liver fibrosis, NASH with significant fibrosis and higher liver fat content, and NASH with significant fibrosis and low liver fat content groups, respectively. The primary outcome was hepatic decompensation, HCC and death. RESULTS: The rates of decompensation, HCC and mortality were highest in the NASH with significant fibrosis and low liver fat group (33%, 17% and 17%, respectively), followed by the NASH with significant fibrosis and higher liver fat group (18%, 13% and 13% respectively), and lowest in the no significant fibrosis (MEFIB-negative) group (0%, 1% and 2% respectively). In multivariable-adjusted analysis, low liver fat content was strongly associated (HR = 42.2 [95% CI: 7.5-235.5, p < 0.0001]) with HCC, decompensation and death. Sensitivity analyses for patients with cirrhosis (MRE ≥5 kPa) determined consistent findings. CONCLUSIONS: Low liver fat content in patients with burnt-out NASH-related significant fibrosis and cirrhosis is associated with an increase in hepatic decompensation, HCC and mortality.

Review article: New developments in biomarkers and clinical drug development in alpha-1 antitrypsin deficiency-related liver disease.

BACKGROUND: Alpha-1 antitrypsin liver disease (AATLD) occurs in a subset of patients with alpha-1 antitrypsin deficiency. Risk factors for disease progression and specific pathophysiologic features are not well known and validated non-invasive assessments for disease severity are lacking. Currently, there are no approved treatments for AATLD. AIMS: To outline existing understanding of AATLD and to identify knowledge gaps critical to improving clinical trial design and development of new treatments. METHODS: This report was developed following a multi-stakeholder forum organised by the Alpha-1 Antitrypsin Deficiency Related Liver Disease Expert Panel in which experts presented an overview of the available literature on this topic. RESULTS: AATLD results from a 'gain of toxic function' and primarily manifests in those with the homozygous Pi*ZZ genotype. Accumulation of misfolded 'Z' AAT protein in liver cells triggers intracellular hepatocyte injury which may ultimately lead to hepatic fibrosis. Male gender, age over 50 years, persistently elevated liver tests, concomitant hepatitis B or C virus infection, and metabolic syndrome, including obesity and type 2 diabetes mellitus, are known risk factors for adult AATLD. While the gold standard for assessing AATLD disease activity is liver histology, less invasive measures with low intra- and inter-observer variability are needed. Measurement of liver stiffness shows promise; validated thresholds for staging AATLD are in development. Such advances will help patients by enabling risk stratification and personalised surveillance, along with streamlining the development process for novel therapies. CONCLUSIONS: This inaugural forum generated a list of recommendations to address unmet needs in the field of AATLD.

Non-invasive diagnosis and monitoring of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis.

Non-alcoholic fatty liver disease (NAFLD) is a highly prevalent form of chronic liver disease that poses challenges in diagnosis and risk stratification. Non-alcoholic steatohepatitis (NASH), the more progressive form of NAFLD, is particularly challenging to diagnose in the absence of histology. Liver biopsy is infrequently performed due to its invasive nature, potential for sampling error, and lack of inter-rater reliability. Non-invasive tests that can accurately identify patients with at-risk NASH (ie, individuals with biopsy-proven NASH with NAFLD activity score [NAS] ≥4 and fibrosis stage ≥2) are key tools to identify candidates for pharmacologic therapy in registrational trials for the treatment of NASH-related fibrosis. With emerging pharmacotherapy, non-invasive tests are required to track treatment response. Lastly, there is an unmet need for non-invasive tests to assess risk for clinical outcomes including progression to cirrhosis, hepatic decompensation, liver-related mortality, and overall mortality. In this Review we examine advances in non-invasive tests to diagnose and monitor NAFLD and NASH.