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.

Impact of Nonalcoholic Fatty Liver Disease (NAFLD) on Weight Loss After Bariatric Surgery.

OBJECTIVE: Obesity and associated comorbidities, such as NAFLD, impose a major healthcare burden worldwide. Bariatric surgery remains the most successful approach for sustained weight loss and the resolution of obesity-related complications. However, the impact of preexisting NAFLD on weight loss after bariatric surgery has not been previously studied. The goal of this study is to assess the impact of preexisting NAFLD on weight loss outcomes up to 5 years after weight loss surgery. RESEARCH DESIGN AND METHODS: Data from the Michigan Bariatric Surgery Cohort (MI-BASiC) was extracted to examine the effect of baseline NAFLD on weight loss outcomes. The cohort included a total of 714 patients older than 18 years of age undergoing gastric bypass (GB; 380 patients) or sleeve gastrectomy (SG; 334 patients) at the University of Michigan between January 2008 and November 2013. Repeated measure analysis was used to determine if preexisting NAFLD was a predictor of weight loss outcomes up to 5 years post-surgery. RESULTS: We identified 221 patients with an established clinical diagnosis of NAFLD at baseline. Multivariable repeated measure analysis with adjustment for covariates shows that patients with preexisting NAFLD had a significantly lower percentage of total and excess weight loss compared to patients without preexisting NAFLD. Furthermore, our data show that baseline dyslipidemia is an indicator of the persistence of NAFLD after bariatric surgery. CONCLUSIONS: Our data show that patients' body weight loss in response to bariatric surgery is impacted by factors such as preexisting NAFLD. Additionally, we show that NAFLD may persist or recur in a subset of patients after surgery, and thus careful continued follow-up is recommended.

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.

Universal Viral Screening of Patients with Newly Diagnosed Cancer in the United States: A Cost-efficiency Evaluation.

Recommendations for universal screening of patients with cancer for hepatitis B virus (HBV), hepatitis C virus (HCV), and human immunodeficiency virus (HIV) are inconsistent. A recent multisite screening study (S1204) from the SWOG Cancer Research Network found that a substantial number of patients with newly diagnosed cancer had previously unknown viral infections. The objective of this study was to determine the cost-efficiency of universal screening of patients with newly diagnosed cancer. We estimated the cost-efficiency of universal screening of new cancer cases for HBV, HCV, or HIV, expressed as cost per virus detected, from the health care payer perspective. The prevalence of each virus among this cohort was derived from S1204. Direct medical expenditures included costs associated with laboratory screening tests. Costs per case detected were estimated for each screening strategy. Secondary analysis examined the cost-efficiency of screening patients whose viral status at cancer diagnosis was unknown. Among the possible options for universal screening, screening for HBV alone ($581), HCV alone ($782), HBV and HCV ($631) and HBV, HCV, and HIV ($841) were most efficient in terms of cost per case detected. When screening was restricted to patients with unknown viral status, screening for HBV alone ($684), HBV and HCV ($872), HBV and HIV ($1,157), and all three viruses ($1,291) were most efficient in terms of cost per newly detected case. Efficient viral testing strategies represent a relatively modest addition to the overall cost of managing a patient with cancer. Screening for HBV, HCV, and HIV infections may be reasonable from both a budget and clinical standpoint. SIGNIFICANCE: Screening patients with cancer for HBV, HCV, and HIV is inconsistent in clinical practice despite national recommendations and known risks of complications from viral infection. Our study shows that while costs of viral screening strategies vary by choice of tests, they present a modest addition to the cost of managing a patient with cancer.

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.

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.

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.

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.

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.

What Does the Future Hold for Patients With Nonalcoholic Steatohepatitis: Diagnostic Strategies and Treatment Options in 2021 and Beyond?

Nonalcoholic steatohepatitis (NASH) can progress to cirrhosis and its complications, including hepatocellular carcinoma. Given that the majority of patients with NASH are asymptomatic, developing screening strategies to identify those individuals at risk for progressive NASH remains a highly unmet need. Furthermore, noninvasive tests that accurately predict disease progression as part of the natural history of NASH or regression in response to treatment are urgently needed to decrease the reliance on repeat liver biopsies. To date, there are no US Food and Drug Administration (FDA)-approved medications for NASH that can resolve steatohepatitis and lead to fibrosis regression. The lack of FDA-approved therapy has led to apathy in diagnosis and referral for specialty care. However, several therapeutic agents are rapidly progressing through the different phases of clinical trials with several already in phase 3 programs. In this review, we provide a summary of recent developments in NASH diagnostics and therapeutics that are likely to shape the future management of this underdiagnosed and undertreated disease.

Prevalence and Patterns of Opioid Use Before and After Liver Transplantation.

BACKGROUND: Opioid use in liver transplantation is poorly understood and has potential associated morbidity. METHODS: Using a national data set of employer-based insurance claims, we identified 1257 adults who underwent liver transplantation between December 2009 and February 2015. We categorized patients based on their duration of opioid fills over the year before and after transplant admission as opioid-naive/no fills, chronic opioid use (≥120 d supply), and intermittent use (all other use). We calculated risk-adjusted prevalence of peritransplant opioid fills, assessed changes in opioid use after transplant, and identified correlates of persistent or increased opioid use posttransplant. RESULTS: Overall, 45% of patients filled ≥1 opioid prescription in the year before transplant (35% intermittent use, 10% chronic). Posttransplant, 61% of patients filled an opioid prescription 0-2 months after discharge, and 21% filled an opioid between 10-12 months after discharge. Among previously opioid-naive patients, 4% developed chronic use posttransplant. Among patients with pretransplant opioid use, 84% remained intermittent or increased to chronic use, and 73% of chronic users remained chronic users after transplant. Pretransplant opioid use (risk factor) and hepatobiliary malignancy (protective) were the only factors independently associated with risk of persistent or increased posttransplant opioid use. CONCLUSIONS: Prescription opioid use is common before and after liver transplant, with intermittent and chronic use largely persisting, and a small development of new chronic use posttransplant. To minimize the morbidity of long-term opioid use, it is critical to improve pain management and optimize opioid use before and after liver transplant.

Diagnostic and interventional circulating biomarkers in nonalcoholic steatohepatitis.

INTRODUCTION: In the setting of the obesity epidemic, nonalcoholic fatty liver disease (NAFLD) has become one of the most prevalent forms of chronic liver disease worldwide. Approximately 25% of adults globally have NAFLD which includes those with NAFL, or simple steatosis, and individuals with nonalcoholic steatohepatitis (NASH) where inflammation, hepatocyte injury and potentially hepatic fibrosis are found in conjunction with steatosis. Individuals with NASH, particularly those with hepatic fibrosis, have higher rates of liver-related and overall mortality, making this distinction of significant clinical importance. One of the core challenges in current clinical practice is identifying this subset of individuals with NASH without the use of liver biopsy, the gold standard for both diagnostics and staging disease severity. Identifying noninvasive biomarkers, an accurately measured and reproducible parameter, would aide in identifying patients eligible for NASH pharmacotherapy clinical trials and to help tailor intensity of monitoring required. METHODS RESULTS AND CONCLUSIONS: In this review, we highlight both the currently available and novel diagnostic and interventional circulating biomarkers under investigation for NASH, underscoring their accuracy and limitations relevant to our patient population and current clinical practice.

Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis.

Importance: Deep learning, a family of machine learning models that use artificial neural networks, has achieved great success at predicting outcomes in nonmedical domains. Objective: To examine whether deep learning recurrent neural network (RNN) models that use raw longitudinal data extracted directly from electronic health records outperform conventional regression models in predicting the risk of developing hepatocellular carcinoma (HCC). Design, Setting, and Participants: This prognostic study included 48 151 patients with hepatitis C virus (HCV)-related cirrhosis in the national Veterans Health Administration who had at least 3 years of follow-up after the diagnosis of cirrhosis. Patients were identified by having at least 1 positive HCV RNA test between January 1, 2000, to January 1, 2016, and were followed up from the diagnosis of cirrhosis to January 1, 2019, for the development of incident HCC. A total of 3 models predicting HCC during a 3-year period were developed and compared, as follows: (1) logistic regression (LR) with cross-sectional inputs (cross-sectional LR); (2) LR with longitudinal inputs (longitudinal LR); and (3) RNN with longitudinal inputs. Data analysis was conducted from April 2018 to August 2020. Exposures: Development of HCC. Main Outcomes and Measures: Area under the receiver operating characteristic curve, area under the precision-recall curve, and Brier score. Results: During a mean (SD) follow-up of 11.6 (5.0) years, 10 741 of 48 151 patients (22.3%) developed HCC (annual incidence, 3.1%), and a total of 52 983 samples (51 948 [98.0%] from men) were collected. Patients who developed HCC within 3 years were older than patients who did not (mean [SD] age, 58.2 [6.6] years vs 56.9 [6.9] years). RNN models had superior mean (SD) area under the receiver operating characteristic curve (0.759 [0.009]) and mean (SD) Brier score (0.136 [0.003]) than cross-sectional LR (0.689 [0.009] and 0.149 [0.003], respectively) and longitudinal LR (0.682 [0.007] and 0.150 [0.003], respectively) models. Using the RNN model, the samples with the mean (SD) highest 51% (1.5%) of HCC risk, in which 80% of all HCCs occurred, or the mean (SD) highest 66% (1.2%) of HCC risk, in which 90% of all HCCs occurred, could potentially be targeted. Among samples from patients who achieved sustained virologic response, the performance of the RNN models was even better (mean [SD] area under receiver operating characteristic curve, 0.806 [0.025]; mean [SD] Brier score, 0.117 [0.007]). Conclusions and Relevance: In this study, deep learning RNN models outperformed conventional LR models, suggesting that RNN models could be used to identify patients with HCV-related cirrhosis with a high risk of developing HCC for risk-based HCC outreach and surveillance strategies.

Prevalence and staging of non-alcoholic fatty liver disease among patients with heart failure with preserved ejection fraction.

Insulin resistance and altered energy metabolism is common in non-alcoholic fatty liver disease (NAFLD) and appears to also be associated with myocardial dysfunction. We aimed to evaluate prevalence, staging and clinical features correlated with NAFLD among patients with heart failure with preserved ejection fraction (HFpEF). Adults with HFpEF were prospectively enrolled. Demographic and clinical data were collected. NAFLD was defined based on liver biopsy, abdominal imaging or ICD-coding and the absence of other liver diseases. Descriptive, bivariate and multivariable analyses were performed. 181 patients were analyzed. The median age was 70 with 89% white, 59% female, median BMI 35.1, and 48% with diabetes. NAFLD was present in 27% of the full cohort and 50% of those with imaging. In patients with imaging, multivariable analysis identified diabetes (OR 3.38, 95% CI 1.29-8.88) and BMI (OR 1.11, 95% CI 1.04-1.19) as independent correlates of NAFLD. 54% of NAFLD patients had a NAFLD fibrosis score consistent with advanced fibrosis. Cirrhosis was present in 6.6% of patients overall and 11.5% with imaging. NAFLD patients had a higher frequency of advanced heart failure (75% vs 55%, p 0.01). NAFLD has a two-fold higher prevalence in HFpEF compared to the general population and is independently associated with BMI and diabetes. Patients with HFpEF and NAFLD also appeared to have more advanced fibrosis including cirrhosis suggesting a potential synergistic effect of cardiac dysfunction on fibrosis risk in NAFLD. This data supports consideration for evaluation of underlying liver disease in HFpEF patients.

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.

Incidence and Risks for Nonalcoholic Fatty Liver Disease and Steatohepatitis Post-liver Transplant: Systematic Review and Meta-analysis.

BACKGROUND: The true incidence and unique risk factors for recurrent and de novo nonalcoholic fatty liver (NAFLD) and nonalcoholic steatohepatitis (NASH) post-liver transplant (LT) remain poorly characterized. We aimed to identify the incidence and risk factors for recurrent and de novo NAFLD/NASH post-LT. METHODS: MEDLINE via PubMed, Embase, Scopus, and CINAHL were searched for studies from 2000 to 2018. Risk of bias was adjudicated using the Newcastle-Ottawa Scale. RESULTS: Seventeen studies representing 2378 patients were included. All were retrospective analyses of patients with post-LT liver biopsies, with the exception of 2 studies that used imaging for outcome assessment. Seven studies evaluated occurrence of recurrent NAFLD/NASH, 3 evaluated de novo occurrence, and 7 evaluated both recurrent and de novo. In studies at generally high or moderate risk of bias, mean 1-, 3-, and ≥5-year incidence rates may be 59%, 57%, and 82% for recurrent NAFLD; 67%, 40%, and 78% for de novo NAFLD; 53%, 57.4%, and 38% for recurrent NASH; and 13%, 16%, and 17% for de novo NASH. Multivariate analysis demonstrated that post-LT body mass index (summarized odds ratio = 1.27) and hyperlipidemia were the most consistent predictors of outcomes. CONCLUSIONS: There is low confidence in the incidence of recurrent and de novo NAFLD and NASH after LT due to study heterogeneity. Recurrent and de novo NAFLD may occur in over half of recipients as soon as 1 year after LT. NASH recurs in most patients after LT, whereas de novo NASH occurs rarely. NAFLD/NASH after LT is associated with metabolic risk factors.