Prevalence of Steatotic Liver Disease Among US Adults with Rheumatoid Arthritis.

BACKGROUND: The prevalence of steatotic liver disease (SLD) among patients with rheumatoid arthritis (RA) remains largely unknown. AIMS: To investigate the prevalence of SLD and liver fibrosis among patients with RA. METHODS: We utilized data from the United States (US)-based National Health and Nutrition Examination Survey (NHANES) 2017-2020 cycle. After applying established sample weights, we estimated the age-adjusted prevalence of SLD and its subclassifications (CAP ≥ 285 dB/m), high-risk NASH (FAST score) and liver fibrosis (LSM) among participants with self-reported RA. Multivariable logistic regression was performed to identify independent risk factors for metabolic dysfunction associated SLD (MASLD), high-risk NASH and fibrosis, respectively, among participants with RA. We present adjusted odds ratios (aORs) and 95% confidence intervals (CIs). RESULTS: Age-adjusted prevalence of MASLD among US adults with RA was 34.91% (95% CI: 24.02-47.65%). We also found that the age-adjusted prevalence of high-risk NASH (FAST score > 0.35) and significant fibrosis (LSM > 8.6 kPa) was 12.97% (95% CI: 6.89-23.07%) and 10.35% (95% CI: 5.55-18.48%), respectively. BMI ≥ 30 kg/m2, (aOR 6.23; 95% CI: 1.95-19.88), diabetes (aOR 5.90; 95% CI: 1.94-17.94), and dyslipidemia (aOR 2.83; 95% CI: 1.12-7.11) were independently associated with higher odds of MASLD among participants with RA. Diabetes (aOR 19.34; 95% CI: 4.69-79.70) was also independently associated with high-risk NASH. CONCLUSIONS: The prevalence of MASLD, high-risk NASH, and liver fibrosis among patients with RA is equal or higher than the general population. Future studies of large cohorts are needed to substantiate the role of systemic inflammation in the pathophysiology of MASLD.

Prevalence and Characteristics of Nonalcoholic Fatty Liver Disease and Fibrosis in People Living With HIV Monoinfection: A Systematic Review and Meta-analysis.

BACKGROUND AND AIMS: Liver disease remains a leading cause of morbidity and mortality among people living with HIV (PLWH). Emerging data suggest that PLWH are at high risk for developing nonalcoholic fatty liver disease (NAFLD). The aim of this review is to examine the current literature and provide an accurate estimate of the prevalence of NAFLD, nonalcoholic steatohepatitis (NASH), and fibrosis, and identify potential risk factors for NAFLD in PLWH. METHODS: We searched PubMed and Embase databases to identify studies reporting the prevalence of NAFLD and/or fibrosis in PLWH monoinfection. We performed a random effects meta-analysis of proportions to estimate the pooled prevalence of NAFLD, NASH, and fibrosis among PLWH monoinfection. We also examined potential risk factors for NAFLD by comparing characteristics of PLWH monoinfection with and without NAFLD. RESULTS: A total of 43 studies, reporting data for 8230 patients, met our eligibility criteria and were included in the meta-analysis. Based on imaging studies the overall pooled prevalence of NAFLD and moderate liver fibrosis (METAVIR ≥ F2) among PLWH monoinfection was 33.9% (95% confidence interval [CI], 29.67%-38.39%), and 12.00% (95% CI, 10.02%-14.12%), respectively. Based on biopsy studies, prevalence of NASH and significant liver fibrosis (stage ≥F2 on histology) was 48.77% (95% CI, 34.30%-63.34%) and 23.34% (95% CI, 14.98%-32.75%), respectively. Traditional metabolic syndrome and HIV-related factors were associated with NAFLD in PLWH. CONCLUSIONS: Our study confirms that the burden of NAFLD, NASH, and fibrosis is high among PLWH monoinfection. Prospective longitudinal studies are needed to delineate NAFLD, NASH, and fibrosis risk factors, and identify early interventions and new therapies for NAFLD in this population.

Impact of prior HBV, HAV, and HEV infection on non-alcoholic fatty liver disease.

Non-alcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease. The association between prior hepatitis B virus (HBV), hepatitis A virus (HAV), hepatitis E virus (HEV) infection and NAFLD remains unclear. We utilized the 2017-2020 National Health and Nutrition Examination Survey (NHANES) and performed multivariable logistic regression analyses to examine the association of prior HBV, HAV and HEV infection with NAFLD, as well as high risk non-alcoholic steatohepatitis (NASH) and liver fibrosis. Our analysis included 2565 participants with available anti-HBc serology results, 1480 unvaccinated participants with anti-HAV results, and 2561 participants with anti-HEV results. Among participants with NAFLD, the age-adjusted prevalence of prior HBV, HAV and HEV infection was 3.48%, 32.08% and 7.45%, respectively. Prior infection with HBV, HAV and HEV was not associated with NAFLD (cut-off 285 dB/m) [aOR: 0.99 (95% CI, 0.77-1.29), 1.29 (95% CI, 0.95-1.75), and 0.94 (95% CI, 0.70-1.27), respectively] or high-risk NASH [aOR 0.72 (95% CI, 0.45-1.17), 0.92 (95% CI, 0.55-1.52), and 0.89 (95% CI, 0.41-1.94), respectively]. Participants with anti-HBc and anti-HAV seropositivity were more likely to have significant fibrosis [aOR: 1.53 (95% CI, 1.05-2.23) and 1.69 (95% CI, 1.16-2.47), respectively]. The odds of significant fibrosis are 53%, and 69% greater for participants with prior history of HBV and HAV infection. Healthcare providers should prioritize vaccination efforts and employ a tailored approach to NAFLD in patients with prior viral hepatitis and especially HBV or HAV infection to limit disease-related outcomes.

Etiologies and Outcomes of Transaminase Elevation > 1000 IU/L: A Systematic Review and Meta-Analysis.

BACKGROUND: Among liver injury causes, few result in marked elevation of liver enzymes to a level > 1,000 international units per liter (IU/L). This review summarizes common etiologies of marked transaminase elevation and associated prognostic factors. METHODS: We performed a comprehensive search on PubMed, EMBASE, Cochrane Library, and Google Scholar from inception through December 2022 using MOOSE guidelines for studies reporting frequency of etiologies of marked transaminase elevation. We used a proportion meta-analysis to pool frequencies with corresponding 95% confidence interval (CI). I2 was used to adjudicate heterogeneity. We used CMA software for statistical analysis. RESULTS: Seven relevant studies (n = 1608 patients) were included. The pooled frequency of ischemic hepatitis was 51% (95% CI 42-60%, I2 = 91%), viral hepatitis was 13.1% (95% CI 9.7-17.6%, I2 = 80%), toxins or drug-induced liver injury (DILI) was 13% (95% CI 8-18%, I2 = 85%), and pancreaticobiliary-related injury was 7.8% (95% CI 4.4-13.6%, I2 = 89%). Mortality was significantly higher in ischemic hepatitis versus other causes of marked transaminase elevation, with an odds ratio of 21 (95% CI 9.9-44.8, P value < 0.0001, I2 = 64% Q 11.1). DISCUSSION: This is the first meta-analysis to examine etiologies of marked transaminase elevation > 1000 IU/L. Liver ischemia is the most common cause, while other causes include DILI or toxins, viral hepatitis, and biliary pathologies. We found biliary pathologies to be the fourth most common cause. This is clinically relevant as it has been traditionally linked to a cholestatic pattern of liver injury. Being aware of this presentation may help prevent delayed or missed diagnoses and unnecessary testing.

Prevalence of Advanced Colorectal Neoplasia in Veterans: Effects of Age, Sex, and Race/Ethnicity.

GOAL: We sought to quantify the independent effects of age, sex, and race/ethnicity on risk of colorectal cancer (CRC) and advanced neoplasia (AN) in Veterans. STUDY: We conducted a retrospective, cross-sectional study of Veterans aged 40 to 80 years who had diagnostic or screening colonoscopy between 2002 and 2009 from 1 of 14 Veterans Affairs Medical Centers. Natural language processing identified the most advanced finding and location (proximal, distal). Logistic regression was used to examine the adjusted, independent effects of age, sex, and race, both overall and in screening and diagnostic subgroups. RESULTS: Among 90,598 Veterans [mean (SD) age 61.7 (9.4) y, 5.2% (n=4673) were women], CRC and AN prevalence was 1.3% (n=1171) and 8.9% (n=8081), respectively. Adjusted CRC risk was higher for diagnostic versus screening colonoscopy [odds ratio (OR)=3.79; 95% confidence interval (CI), 3.19-4.50], increased with age, was numerically (but not statistically) higher for men overall (OR=1.53; 95% CI, 0.97-2.39) and in the screening subgroup (OR=2.24; 95% CI, 0.71-7.05), and was higher overall for Blacks and Hispanics, but not in screening. AN prevalence increased with age, and was present in 9.2% of men and 3.9% of women [adjusted OR=1.90; 95% CI, 1.60-2.25]. AN risk was 11% higher in Blacks than in Whites overall (OR=1.11; 95% CI, 1.04-1.20), was no different in screening, and was lower in Hispanics (OR=0.74; 95% CI, 0.55-0.98). Women had more proximal CRC (63% vs. 39% for men; P=0.03), but there was no difference in proximal AN (38.3% for both genders). CONCLUSIONS: Age and race were associated with AN and CRC prevalence. Blacks had a higher overall prevalence of both CRC and AN, but not among screenings. Men had increased risk for AN, while women had a higher proportion of proximal CRC. These findings may be used to tailor when and how Veterans are screened for CRC.

Multi-center colonoscopy quality measurement utilizing natural language processing.

BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could improve the effectiveness and cost-effectiveness of colorectal cancer (CRC) screening and surveillance. The purpose of this study was to create and test such a system across multiple institutions utilizing natural language processing (NLP). METHODS: From 42,569 colonoscopies with pathology records from 13 centers, we randomly sampled 750 paired reports. We trained (n=250) and tested (n=500) an NLP-based program with 19 measurements that encompass colonoscopy quality measures and surveillance interval determination, using blinded, paired, annotated expert manual review as the reference standard. The remaining 41,819 nonannotated documents were processed through the NLP system without manual review to assess performance consistency. The primary outcome was system accuracy across the 19 measures. RESULTS: A total of 176 (23.5%) documents with 252 (1.8%) discrepant content points resulted from paired annotation. Error rate within the 500 test documents was 31.2% for NLP and 25.4% for the paired annotators (P=0.001). At the content point level within the test set, the error rate was 3.5% for NLP and 1.9% for the paired annotators (P=0.04). When eight vaguely worded documents were removed, 125 of 492 (25.4%) were incorrect by NLP and 104 of 492 (21.1%) by the initial annotator (P=0.07). Rates of pathologic findings calculated from NLP were similar to those calculated by annotation for the majority of measurements. Test set accuracy was 99.6% for CRC, 95% for advanced adenoma, 94.6% for nonadvanced adenoma, 99.8% for advanced sessile serrated polyps, 99.2% for nonadvanced sessile serrated polyps, 96.8% for large hyperplastic polyps, and 96.0% for small hyperplastic polyps. Lesion location showed high accuracy (87.0-99.8%). Accuracy for number of adenomas was 92%. CONCLUSIONS: NLP can accurately report adenoma detection rate and the components for determining guideline-adherent colonoscopy surveillance intervals across multiple sites that utilize different methods for reporting colonoscopy findings.

A pilot study estimating liver fibrosis with ultrasound shear-wave elastography: does the cause of liver disease or location of measurement affect performance?

OBJECTIVE: The purpose of this study was to evaluate the diagnostic accuracy of real-time shear-wave elastography for assessment of liver fibrosis in an unselected patient population, comparing shear-wave elastography measurements obtained at and remote from the site of random liver biopsy. SUBJECTS AND METHODS: In a prospective study of 50 patients (21 with and 29 without hepatitis C) referred for clinically indicated random liver biopsy for diffuse liver disease, shear-wave elastography measurements were taken from four locations before biopsy: one at the left lobe, two at the right lobe, and one at the biopsy location. The mean, minimum, maximum, and SD of shear-wave elastography were compared with pathologic grading. Steatosis and serum markers were analyzed using multiple logistic regression. Optimized shear-wave elastography thresholds were calculated using AUC analysis. RESULTS: The AUC (95% CI) at the biopsy site, ipsilateral lobe, and contralateral lobe were 0.82 (0.63-1.0), 0.84 (0.67-1.0), and 0.59 (0.19-0.99) in hepatitis C patients; 0.89 (0.75-1.0), 0.88 (0.73-1.0), and 0.93 (0.80-1.0) in nonhepatitis C patients; and 0.85 (0.74-0.96), 0.89 (0.79-0.99), and 0.80 (0.67-0.93) in all patients, respectively. Optimized biopsy site shear-wave elastography values for detecting Metavir score F2 or greater were 1.87 m/s (75% sensitivity and specificity), 2.00 m/s (80% sensitivity and specificity), and 1.89 m/s (76% sensitivity and specificity) in hepatitis C, nonhepatitis C, and all patients, respectively. Steatosis and serum markers were not significant. CONCLUSION: Real-time shear-wave elastography accurately predicted significant fibrosis (stage ≥ 2) in an unselected patient population with diffuse disease, including patients with and without hepatitis C. Shear-wave elastography best predicts pathologic grading when taken at the biopsy site or ipsilateral lobe in hepatitis C patients. Percentage steatosis was not predictive of shear-wave elastography results.

A comparison of modified directly observed therapy to standard care for chronic hepatitis C.

Hepatitis C virus (HCV) is the most common chronic blood-borne infection in the United States. Effective treatments are available, however adherence to treatment is challenging. Modified directly observed therapy (mDOT) with weekly administration of pegylated interferon might improve adherence and outcomes for patients infected with chronic HCV. The purpose of this study was to compare two treatment protocols and examine predictors of sustained virologic response (SVR). This retrospective review compares HCV treatment outcomes in two outpatient clinics at an urban academic medical center. Gastroenterology fellows provided standard treatment (SC) in one clinic; a nurse practitioner administered weekly pegylated interferon injections weekly in a primary care clinic. All patients received oral ribavirin. Data was extracted from the medical records of all treated patients over a 5-year period. 155 treatment-naïve, chronically infected HCV patients were treated. Ninety-seven patients received mDOT treatment and 58 received standard care. Mean age was 46 years. Genotype 1 represented 59 % of the sample. The mDOT patients were significantly more likely to be younger (44 vs. 50 years), have a history of injection drug use (93.1 vs. 50.0 %), and be HIV-infected (13.5 vs. 2 %) compared to SC patients. The overall SVR rate was 45.2 % and did not differ between the groups in unadjusted analyses (p = 0.95). Genotype was the only predictor of SVR. Patients treated by nurse practitioners trained in HCV care and seen weekly for interferon injections have comparable treatment outcomes to patients treated by specialists.

Prevalence and risk factors of nonalcoholic fatty liver disease, high-risk nonalcoholic steatohepatitis, and fibrosis among lean United States adults: NHANES 2017-2020.

Background: Nonalcoholic fatty liver disease (NAFLD) is a growing public health concern worldwide. Early detection and management of modifiable risk factors are critical to mitigating its impact. This study aimed to investigate the prevalence and risk factors of NAFLD, nonalcoholic steatohepatitis (NASH), and fibrosis among lean adults in the United States (US), using the latest National Health and Nutrition Examination Survey (NHANES) dataset from 2017-2020. Methods: Using controlled attenuation parameter scores of ≥285 dB/m, we assessed the age-adjusted prevalence of lean NAFLD. To determine the age-adjusted prevalence of high-risk NASH and significant fibrosis, we used the FibroScan-aspartate aminotransferase (FAST) score (cutoffs 0.35 and 0.67) and vibration-controlled transient elastography (liver stiffness measurement ≥8 kPa). Multivariate logistic regression was used to identify potential risk factors. Results: We found the age-adjusted prevalence of lean NAFLD to be 6.30%. Among lean US adults, the age-adjusted prevalence of high-risk NASH and significant fibrosis was 1.29% and 4.35%, respectively. Older age and metabolic comorbidities, such as hypertension, diabetes, and dyslipidemia were associated with NAFLD and its complications. Conclusion: These findings suggest that the prevalence of NAFLD is of concern among lean individuals, particularly those aged 40 and older with metabolic comorbidities, while a targeted approach to screening and risk stratification for hepatic fibrosis upon lean NAFLD diagnosis is warranted.

Randomized controlled trial testing the effects of weight loss on nonalcoholic steatohepatitis.

UNLABELLED: Nonalcoholic steatohepatitis (NASH) is a chronic progressive liver disease that is strongly associated with obesity. Currently, there is no approved therapy for NASH. Weight reduction is typically recommended, but efficacy data are lacking. We performed a randomized controlled trial to examine the effects of lifestyle intervention using a combination of diet, exercise, and behavior modification, with a goal of 7% to 10% weight reduction, on clinical parameters of NASH. The primary outcome measure was the change in NASH histological activity score (NAS) after 48 weeks of intervention. Thirty-one overweight or obese individuals (body mass index [BMI], 25-40 kg/m(2)) with biopsy-proven NASH were randomized in a 2:1 ratio to receive intensive lifestyle intervention (LS) or structured education (control). After 48 weeks of intervention, participants assigned to LS lost an average of 9.3% of their weight versus 0.2% in the control group (P = 0.003). A higher proportion of participants in the LS group had a reduction of NAS of at least 3 points or had posttreatment NAS of 2 or less as compared with the control group (72% versus 30%, P = 0.03). NAS improved significantly in the LS group (from 4.4 to 2.0) in comparison with the control group (from 4.9 to 3.5) (P = 0.05). Percent weight reduction correlated significantly with improvement in NAS (r = 0.497, P = 0.007). Participants who achieved the study weight loss goal (>or=7%), compared with those who lost less than 7%, had significant improvements in steatosis (-1.36 versus -0.41, P < 0.001), lobular inflammation (-0.82 versus -0.24, P = 0.03), ballooning injury (-1.27 versus -0.53, P = 0.03) and NAS (-3.45 versus -1.18, P < 0.001). CONCLUSION: Weight reduction achieved through lifestyle intervention leads to improvements in liver histology in NASH.

Machine learning models for predicting non-alcoholic fatty liver disease in the general United States population: NHANES database.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, affecting over 30% of the United States population. Early patient identification using a simple method is highly desirable. AIM: To create machine learning models for predicting NAFLD in the general United States population. METHODS: Using the NHANES 1988-1994. Thirty NAFLD-related factors were included. The dataset was divided into the training (70%) and testing (30%) datasets. Twenty-four machine learning algorithms were applied to the training dataset. The best-performing models and another interpretable model (i.e., coarse trees) were tested using the testing dataset. RESULTS: There were 3235 participants (n = 3235) that met the inclusion criteria. In the training phase, the ensemble of random undersampling (RUS) boosted trees had the highest F1 (0.53). In the testing phase, we compared selective machine learning models and NAFLD indices. Based on F1, the ensemble of RUS boosted trees remained the top performer (accuracy 71.1% and F1 0.56) followed by the fatty liver index (accuracy 68.8% and F1 0.52). A simple model (coarse trees) had an accuracy of 74.9% and an F1 of 0.33. CONCLUSION: Not every machine learning model is complex. Using a simpler model such as coarse trees, we can create an interpretable model for predicting NAFLD with only two predictors: fasting C-peptide and waist circumference. Although the simpler model does not have the best performance, its simplicity is useful in clinical practice.

Prevalence and risk factors of steatosis and advanced fibrosis using transient elastography in the United States' adolescent population.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease in children and adolescents. AIM: To determine the prevalence and risk factors of steatosis and advanced fibrosis using transient elastography (TE) in the United States' adolescent population. METHODS: Using the National Health and Nutrition Examination Survey 2017-2018, adolescent participants aged 13 to 17 years who underwent TE and controlled attenuation parameter (CAP) were included in this study. Forty-one factors associated with liver steatosis and fibrosis were collected. Univariate and multivariate linear regression analysis were used to identify statistically significant predictors. RESULTS: Seven hundred and forty participants met inclusion criteria. Steatosis (S1-S3), based on CAP, and advanced fibrosis (F3-F4), based on TE, were present in 27% and 2.84% of the study population, respectively. Independent predictors of steatosis grade included log of alanine aminotransferase, insulin resistance, waist-to-height ratio, and body mass index. Independent predictors of fibrosis grade included steatosis grade, non-Hispanic black race, smoking history, and systolic blood pressure. CONCLUSION: This study demonstrated a high prevalence of steatosis in the United States' adolescent population. Almost 3% of United States' adolescents had advanced fibrosis. These findings are concerning because a younger age of onset of NAFLD can lead to an earlier development of severe disease, including steatohepatitis, cirrhosis, and liver decompensation.

Frequency and predictors of nonalcoholic fatty liver disease in myotonic dystrophy.

Nonalcoholic fatty liver disease (NAFLD) is a common chronic liver disease that is strongly associated with insulin resistance. Myotonic dystrophy (DM1) is the most common form of adult-onset muscular dystrophy, and there is a high frequency of insulin resistance due to insulin receptor mRNA splicing defects in muscle tissue. The frequency and predictors of NAFLD in this population have not been described. Thirty-six patients with DM1 were prospectively assessed for the presence of NAFLD and insulin resistance. NAFLD was defined by abnormal liver chemistry tests with ultrasound or pathologic evidence of steatosis in the absence of other liver disease. Abnormal liver chemistry tests were found in 44% of DM1 patients (mean ALT 73 +/- 21 U/L, AST 53 +/- 15 U/L), and 87% were attributable to NAFLD. Clinical predictors of NAFLD included increased insulin resistance by the homeostasis model assessment (HOMA) method (9.5 vs. 4.0 U, P = 0.03), elevated fasting insulin (40.4 vs. 16.1 microIU/ml, P = 0.03), abdominal obesity (98.6 vs. 90.8 cm, P = 0.03), elevated triglycerides (195.7 vs. 136.8 mg/dl, P = 0.02), and elevated total cholesterol (213.6 vs. 180.6 mg/dl, P = 0.02). NAFLD is very common and should be considered in the management of DM1. It is strongly associated with markers of insulin resistance and features of the metabolic syndrome. These findings support the role of peripheral insulin resistance in the pathogenesis of NAFLD.

Doxycycline-Induced Autoimmune Hepatitis.

Doxycycline and minocycline are tetracyclines with the potential to cause hepatoxicity. Although autoimmune-like hepatitis from minocycline is well-described, doxycycline-induced autoimmune hepatitis (DIAH) has only been described once. We report a rare case of DIAH with elevated liver enzymes over 5 times the normal upper limit, elevated immunoglobulin G, and high titers of antismooth muscle antibody and antinuclear antibody. By stopping doxycycline, our patient's liver enzymes normalized and immunoglobulin G and autoantibody titers rapidly downtrended. As long-term doxycycline therapy becomes more prevalent to treat acne vulgaris and other skin conditions, DIAH may become more prevalent and recognized.

Clinical implications, diagnosis, and management of diabetes in patients with chronic liver diseases.

Diabetes mellitus (DM) negatively affects the development and progression of chronic liver diseases (CLD) of various etiologies. Concurrent DM and CLD are also associated with worse clinical outcomes with respect to mortality, the occurrence of hepatic decompensation, and the development of hepatocellular carcinoma (HCC). Unfortunately, early diagnosis and optimal treatment of DM can be challenging, due to the lack of established clinical guidelines as well as the medical complexity of this patient population. We conducted an exploratory review of relevant literature to provide an up-to-date review for internists and hepatologists caring for this patient population. We reviewed the epidemiological and pathophysiological associations between DM and CLD, the impact of insulin resistance on the progression and manifestations of CLD, the pathogenesis of hepatogenic diabetes, as well as the practical challenges in diagnosis and monitoring of DM in this patient population. We also reviewed the latest clinical evidence on various pharmacological antihyperglycemic therapies with an emphasis on liver disease-related clinical outcomes. Finally, we proposed an algorithm for managing DM in patients with CLD and discussed the clinical and research questions that remain to be addressed.