Enhanced Liver Fibrosis Score Research Articles

Recent developments in non-invasive methods for assessing metabolic dysfunction-associated fatty liver disease

The prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) is increasing, affecting over one-third of the global population and contributing to significant morbidity and mortality. Diagnosing MAFLD, especially with advanced fibrosis, remains challenging due to the limitations of liver biopsy, the current gold standard. Non-invasive tests are crucial for early detection and management. Among these, the fibrosis-4 index (Fib-4) is widely recommended as a first-line test for screening for liver fibrosis. Advanced imaging techniques, including ultrasound-based elastography and magnetic resonance elastography, offer high accuracy but are limited by cost and availability. Combining biomarkers, such as in the enhanced liver fibrosis score and FibroScan-AST score, enhances diagnostic precision and is recommended to further stratify patients who are considered to be intermediate or high risk from the Fib-4 score. We believe that the future lies in the combined use of biomarkers to improve diagnostic accuracy.

Safety and efficacy of HK-660S in patients with primary sclerosing cholangitis: A randomized double-blind phase 2a trial.

A clinical unmet need persists for medications capable of modulating the progression of primary sclerosing cholangitis (PSC). This study aimed to assess the clinical feasibility of HK-660S (beta-lapachone) in PSC. In this multicenter, randomized, double-blind, placebo-controlled, parallel-group phase 2 trial, participants were assigned in a 2:1 ratio to receive either 100 mg of HK-660S or a placebo twice daily for 12 weeks. The primary outcomes were the reduction in serum alkaline phosphatase (ALP) levels and the percentage of participants showing improvements in PSC severity, as determined by magnetic resonance cholangiopancreatography (MRCP) with the Anali score. Secondary endpoints included changes in liver stiffness and adverse events. The analysis included 21 patients, 15 receiving HK-660S, and six receiving a placebo. Improvements in the Anali score were observed in 13.3% of the HK-660S group, with no improvements in the placebo group. HK-660S treatment resulted in a 15.2% reduction in mean ALP levels, compared to a 6.6% reduction in the placebo group. A stratified ad-hoc analysis based on baseline ALP levels showed a statistically significant response in the HK-660S group among those with ALP levels greater than twice the upper limit of normal, with a 50% responder rate (p = 0.05). Additionally, 26.7% of the HK-660S group showed improvements in the enhanced liver fibrosis score, with no improvements in the placebo group. HK-660S was generally well-tolerated. HK-660S is well-tolerated among patients with PSC and may improve bile duct strictures, decrease serum ALP levels, and reduce liver fibrosis. (cris.nih.go.kr, Number KCT0006590).

Dynamic Changes in ELF Score Predict Hepatocellular Carcinoma in Chronic Hepatitis B Patients Receiving Antiviral Treatment.

Enhanced liver fibrosis (ELF) score is a noninvasive assessment for liver fibrosis. We aimed to evaluate the performance of changes in ELF score 3 years apart in combination with liver stiffness measurement (LSM)-hepatocellular carcinoma (HCC) score to predict HCC in chronic hepatitis B (CHB) patients. This is a prospective cohort study. Patients who underwent transient elastography (TE) examinations and at intermediate or high risk of HCC defined by LSM-HCC score were invited to repeat the examination about 3 years later. Their serum samples at these two time points were retrieved to assess the ELF score changes. The primary endpoint was HCC. There were 445 CHB patients (males: 73.9%; mean age: 51.6 ± 10.3 years) who received two TE examinations and ELF scores. Among them, 252 (56.6%) and 193 (43.4%) patients were at intermediate and high HCC risk at first assessment defined by LSM-HCC score, respectively. Kaplan-Meier analysis showed that the changes in ELF score could stratify the HCC risk in both intermediate- and high-risk patients defined by LSM-HCC score (p < 0.001 for intermediate-risk group; p = 0.011 for high-risk group). Patients remained having mild or moderate fibrosis at both assessments had the lowest risk of HCC (4.0%), followed by patients with fibrosis regressed (11.3%; p = 0.014) during a mean follow-up of 163 months. Patients remained having or progressed to severe fibrosis were at highest risk of HCC (>20%). Consistent findings were demonstrated in patients at both intermediate and high risk of HCC defined by LSM-HCC score. Dynamic changes in ELF score provided additional value to LSM-HCC score for stratifying HCC risk in CHB patients.

Enhanced Liver Fibrosis Score for Diagnosing Liver Fibrosis in Chronic Hepatitis.

Background and aims: The enhanced liver fibrosis (ELF) score is a blood test that combines three markers linked to liver fibrosis. The utility of the ELF score has been demonstrated primarily in Western countries, but whether it is useful in areas with a high number of elderly people suffering from chronic liver disease has yet to be determined. Methods: This is a prospective study that included 373 consecutive patients who underwent a liver biopsy and had their ELF score measured on the same day. The diagnostic accuracy of the ELF score for liver fibrosis and the effect of age on the ELF score were investigated. Results: The median (interquartile) ELF scores in F0, F1, F2, F3, and F4 are 8.7 (8.2-9.2), 9.3 (8.8-10.0), 10.1 (9.4-10.7), 10.7 (9.9-11.2), and 12.0 (11.2-12.7), respectively. ELF scores increased with increasing liver fibrosis stage (p < 0.001). The diagnostic accuracy of the ELF score and FIB-4 for significant fibrosis (F2-4) and advanced fibrosis (F3-4) was comparable, but the ELF score had a higher diagnostic accuracy for cirrhosis (F4) than FIB-4. When patients were stratified by age of 60 years, the median ELF score did not differ by age in F2, F3, and F4. However, the median FIB-4 increased in patients with ≥60 years compared to those with <60 years in all fibrosis stages. Conclusions: ELF score has high diagnostic accuracy for liver fibrosis, regardless of age, and it could be used as a primary screening method.

Diagnosis and non-invasive assessment of MASLD in type 2 diabetes and obesity.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is currently the most common chronic liver disease and an important cause of cirrhosis and hepatocellular carcinoma. It is strongly associated with type 2 diabetes and obesity. Because of the huge number of patients at risk of MASLD, it is imperative to use non-invasive tests appropriately. To provide a narrative review on the performance and limitations of non-invasive tests, with a special emphasis on the impact of diabetes and obesity. We searched PubMed and Cochrane databases for articles published from 1990 to August 2023. Abdominal ultrasonography remains the primary method to diagnose hepatic steatosis, while magnetic resonance imaging proton density fat fraction is currently the gold standard to quantify steatosis. Simple fibrosis scores such as the Fibrosis-4 index are well suited as initial assessment in primary care and non-hepatology settings to rule out advanced fibrosis and future risk of liver-related complications. However, because of its low positive predictive value, an abnormal test should be followed by specific blood (e.g. Enhanced Liver Fibrosis score) or imaging biomarkers (e.g. vibration-controlled transient elastography and magnetic resonance elastography) of fibrosis. Some non-invasive tests of fibrosis appear to be less accurate in patients with diabetes. Obesity also affects the performance of abdominal ultrasonography and transient elastography, whereas magnetic resonance imaging may not be feasible in some patients with severe obesity. This article highlights issues surrounding the clinical application of non-invasive tests for MASLD in patients with type 2 diabetes and obesity.

Machine Learning Identifies Key Proteins in Primary Sclerosing Cholangitis Progression and Links High CCL24 to Cirrhosis.

Primary sclerosing cholangitis (PSC) is a rare, progressive disease, characterized by inflammation and fibrosis of the bile ducts, lacking reliable prognostic biomarkers for disease activity. Machine learning applied to broad proteomic profiling of sera allowed for the discovery of markers of disease presence, severity, and cirrhosis and the exploration of the involvement of CCL24, a chemokine with fibro-inflammatory activity. Sera from 30 healthy controls and 45 PSC patients were profiled with proximity extension assay, quantifying the expression of 2870 proteins, and used to train an elastic net model. Proteins that contributed most to the model were tested for correlation to enhanced liver fibrosis (ELF) score and used to perform pathway analysis. Statistical modeling for the presence of cirrhosis was performed with principal component analysis (PCA), and receiver operating characteristics (ROC) curves were used to assess the useability of potential biomarkers. The model successfully predicted the presence of PSC, where the top-ranked proteins were associated with cell adhesion, immune response, and inflammation, and each had an area under receiver operator characteristic (AUROC) curve greater than 0.9 for disease presence and greater than 0.8 for ELF score. Pathway analysis showed enrichment for functions associated with PSC, overlapping with pathways enriched in patients with high levels of CCL24. Patients with cirrhosis showed higher levels of CCL24. This data-driven approach to characterize PSC and its severity highlights potential serum protein biomarkers and the importance of CCL24 in the disease, implying its therapeutic potential in PSC.

Enhanced liver fibrosis score is stable after withdrawal in patients with heavy alcohol consumption: A pilot study.

Enhanced liver fibrosis (ELF) score is an accurate, noninvasive test for assessing the severity of liver fibrosis in chronic liver disease, including alcohol-related liver disease. However, whether the ELF score changes during alcohol withdrawal is unknown. This pilot study assessed changes in the ELF score during withdrawal in patients with a history of excessive alcohol intake. In this prospective study, ELF was performed on day 0 (D0, at the beginning of hospitalization), at day 7 (D7, on discharge from hospital), and at follow-up visits on days 30 (D30) and 90 (D90). Transient elastography (TE) was also assessed on days 4 (D4) and D30. The study included 35 patients (71% male) with a mean alcohol intake of 139 g/day. On D30 and D90, 8 and 13 patients had resumed alcohol consumption (mean intake of 90 and 80 g/day, respectively). In patients who remained abstinent, the mean ELF score was 8.93 on D0, 9.14 on D30 (p = 0.32), and 9.27 on D90 (p = 0.14). In patients who resumed alcohol, mean ELF score was 9.7 on D0, 10.05 on D30 (p = 0.09), and 9.71 on D90 (p = 0.12). ELF score was comparable over the first months after withdrawal, although there was a slight increase in the first week (mean ELF score increased from 9.24 on D0 to 9.74 on D7, p < 0.001). Mean TE value was 7.9 kPa on D4 and 8.1 kPa on D30 (p = 0.84) in patients who resumed alcohol consumption, and 8.3 and 7.5 kPa (p = 0.03) on D4 and D30, respectively, in abstinent patients. The ELF score is stable during the first months after withdrawal and thus appears to be a useful tool to assess liver fibrosis or cirrhosis in this setting. Nevertheless, because in the first week there is a transient increase in ELF score, caution in interpretation is warranted.

Gender-Specific Bile Acid Profiles in Non-Alcoholic Fatty Liver Disease.

Non-alcoholic fatty liver disease (NAFLD) is increasing worldwide. A main cause is the obesogenic, so-called Western lifestyle. NAFLD follows a long, unperceived course, and ends potentially fatally. Early diagnosis of aggressive subtypes saves lives. So far, non-invasive means of detection are limited. A better understanding of the pathogenic interplay among insulin resistance, immune inflammation, microbiome, and genetic background is important. Metabolomics may give insight into these interlaced processes. In this study, we measured bile acids (BA) in the plasma of adult NAFLD and alcohol-associated liver disease (ALD) patients and healthy controls with targeted mass spectrometry. We focused on gender-related bile acid production pathology in NAFLD and ALD. Compared to healthy controls, women with NAFLD had significantly higher concentrations of total BA, total primary BA, total cholic (CA), total chenodeoxycholic (CDCA), total glycine-conjugated, and total non-12-a-OH BA. Concerning subtypes, glycocholic (GCA) and glycochenodeoxycholic (GCDCA), BA were elevated in women with NAFLD. In contrast, men with NAFLD had no significantly altered total BA fractions. However, the subtypes GCA, glycodeoxycholic (GDCA), glycolithocholic (GLCA), lithocholic (LCA), taurolithocholic (TLCA), and tauroursodeoxycholic acid (TUDCA) were elevated, while CA was significantly decreased. In NAFLD, except ursodeoxycholic acid (UDC), all total BA correlated significantly positively in both sexes with the ELF score, while in ALD, only males showed significant correlations exceptive for total UDC BA. In NAFLD, total BA, total primary BA, total secondary BA, total free secondary BA, total CA, total CDCA, total taurine conjugated, total glycine conjugated, total 12-a-OH, and total non-12-a-OH were significantly higher in cases of a high enhanced liver fibrosis (ELF) score above 9.8. In ALD, total UDC was additionally elevated. Between NAFLD with and without NASH, we found no significant differences. Our data show gender-specific bile acid profiles in NAFLD and markedly different BA patterns in ALD. Women with NAFLD had more severe cholestasis. Men may better compensate fat storage-driven bile acid dynamics, indicated by higher levels of taurine-conjugated BA, which associate with beneficial metabolic functions.

Derivation and validation of Transform equations to convert historical Enhanced liver fibrosis (ELF) scores to modern equivalents

Background and AimsThe Siemens Healthineers ELF™ Test was designed in 2004 with 2 algorithms to allow choice in histological alignment. Consequently, historical and modern algorithms are not fully harmonized, complicating comparisons involving early datasets. We derived transform equations to equate all ELF score versions, allowing historical data to be used in systematic reviews and meta-analyses. MethodsHistorical ELF equations were graphed pairwise versus their modern equivalent to assess correlation and derive four transforms. Transforms were validated using multiple datasets and evaluated for median absolute bias, number of samples reflecting clinically significant bias, number of discordant samples, bias at established cutoffs, and regression slope and y-intercept. ResultsThree transforms were validated equating Scheuer-aligned and/or age-included historical ELF equations (Immuno 1) to later equations aligned to Ishak and omitting age. A fourth transform corrected ADVIA Centaur® / Atellica® IM ELF scores miscalculated using the Scheuer Immuno 1 equation. Transformed data were well within allowable ELF bias limits. ConclusionsAll transforms enabled accurate comparison of ELF scores generated by all historical algorithms to the current ADVIA Centaur / Atellica IM Analyzer ELF score. The transforms presented in this report should be used in systematic reviews and meta-analyses to facilitate comparisons to historical data.

The liver-heart axis in patients with severe obesity: The association between liver fibrosis and chronic myocardial injury may be explained by shared risk factors of cardiovascular disease

BackgroundSevere obesity is associated with increased risk of non-alcoholic fatty liver disease and cardiovascular disease. We hypothesized that liver fibrosis as quantified by the Enhanced Liver Fibrosis (ELF) test would be predictive of myocardial injury and fibrosis, expressed by higher concentrations of cardiac troponin T and I measured by high-sensitivity assays (hs-cTnT and hs-cTnI, respectively). Material and methodsWe performed cross-sectional analyses of baseline data from 136 patients (mean age 45 years, 38 % male) with severe obesity participating in the non-randomized clinical trial Prevention of Coronary Heart Disease in Morbidly Obese Patients (ClinicalTrials.gov NCT00626964). Associations between ELF scores, hs-cTnT, and hs-cTnI concentrations were assessed using linear regression analysis. ResultsELF scores were associated with hs-cTnT in the unadjusted model (B 0.381, 95 % Confidence Interval [CI] 0.247, 0.514), but the association was attenuated upon adjustment for potential confounders (B −0.031, 95 % CI −0.155, 0.093). Similarly, for hs-cTnI, an observed association with ELF scores in the unadjusted model was attenuated upon adjustment for potential confounders ((B 0.432, 95 % CI 0.179, 0.685) and (B 0.069, 95 % CI −0.230, 0.367), respectively). Age, sex, hypertension, and estimated glomerular filtration rate were amongst the shared predictors of ELF score, hs-cTnT, and hs-cTnI that provided the univariable models with the highest R-squared and lowest Akaike Information Criterion values. ConclusionsContrary to our hypothesis, ELF score did not predict myocardial injury and fibrosis, but we rather demonstrated an association between liver fibrosis and myocardial injury and fibrosis may be explained by shared risk factors of cardiovascular disease.

Noninvasive prognostic models, imaging, and elastography to predict clinical events in primary sclerosing cholangitis: A review.

Surrogate endpoints are needed to estimate clinical outcomes in primary sclerosing cholangitis (PSC). Serum alkaline phosphatase was among the first markers studied, but there is substantial variability in alkaline phosphatase levels during the natural history of PSC without intervention. The Mayo risk score incorporates noninvasive variables and has served as a surrogate endpoint for survival for more than two decades. Newer models have better test performance than the Mayo risk score, including the primary sclerosing risk estimate tool (PREsTo) model and UK-PSC score that estimate hepatic decompensation and transplant free survival, respectively. The c-statistics for transplant-free survival for the Mayo risk model and the long-term UK-PSC model are 0.68 and 0.85, respectively. The c-statistics for hepatic decompensation for the Mayo risk model and PREsTo model are 0.85 and 0.90, respectively. The Amsterdam-Oxford model included patients with large duct and small duct PSC and patients with PSC-autoimmune hepatitis overlap and had a c-statistic of 0.68 for transplant-free survival. Other noninvasive tests that warrant further validation include magnetic resonance imaging, elastography and the enhanced liver fibrosis score. Prognostic models, noninvasive tests or a combination of these surrogate endpoints may not only serve to be useful in clinical trials of investigational agents, but also serve to inform our patients about their prognosis.

Utility of the Enhanced Liver Fibrosis score as a blood biomarker of pulmonary fibrosis secondary to SARS-CoV-2 pneumonia

IntroductionSARS-CoV-2 pneumonia can lead to several sequelae, among them, pulmonary fibrosis. The Enhanced Liver Fibrosis (ELF) score is a panel of serum markers of liver fibrosis. We aimed to describe the utility of the ELF score as a biomarker of pulmonary fibrosis secondary to COVID-19 pneumonia. MethodsChest computed tomography (CT) scan, lung function tests (LFT) and blood analysis were obtained at three months after discharge. Data were analysed according to ELF scores and posteriorly divided into ELF tertiles. ResultsOne hundred twenty-nine patients were recruited; of these, 85.7% presented bilateral pneumonia at diagnosis of SARS-CoV2 infection. At 3 months after discharge, CT scan was available in 123 patients, 73 (59.3%) of whom presented parenchymal lung abnormalities (PLA) and LFT showed impairment in 28 (22.7%) patients. Globally, the most frequent PLA was ground glass opacities (50%), followed by bronchial thickening (26.8%), reticular pattern (19.5%), consolidation (10.5%) and air bronchogram sign (7.3%). Radiological findings were only significant in the higher tertile of ELF, with a reticular pattern as the predominant PLA (p = 0.002). Moreover, patients with both PLA and LFT impairment, presented a trend towards higher levels of ELF compared with patients with only PLA or LFT impairment, or no impairment (9.9 (0.7) vs 9.6 (0.8), 9.1 (1.1) and 9.3 (0.7); p = 0.054). ConclusionPatients with both PLA and LFT alteration at 3 months after SARS-CoV-2 pneumonia had higher ELF scores. The ELF score may be useful to identify patients with risk of fibrotic changes after SARS-CoV-2 pneumonia.

Combined use of the ELF test and CLivD score improves prediction of liver-related outcomes in the general population.

Effective and feasible population screening strategies are needed for the early detection of individuals at high risk of future severe liver-related outcomes. We evaluated the predictive performance of the combination of liver fibrosis assessment, phenotype profile, and genetic risk. Data from 5795 adults attending the Finnish Health 2000 Survey were linked with healthcare registers for liver-related outcomes (hospitalization, hepatocellular cancer, and death). Fibrosis was assessed using the enhanced liver fibrosis (ELF) test, phenotype profile by the chronic liver disease (CLivD) risk score, and genetic risk by a validated Polygenic Risk Score (PRS-5). Predictive performance was assessed by competing-risk analyses. During a median 13-year follow-up, 64 liver-related outcome events were recorded. ELF, CLivD score, and PRS-5 were independently associated with liver-related outcomes. The absolute 10-year risk of liver-related outcomes at an ELF value of 11.3 ranged from 0.3% to 33% depending on the CLivD score. The CLivD score added 51% of new predictive information to the ELF test and improved areas under the curve (AUCs) from 0.91, 0.81, and 0.71 for ELF alone to 0.95, 0.85, and 0.80, respectively, for ELF combined with the CLivD score at 1, 5, and 10 years. The greatest improvement was for 10-year predictions (delta-AUC 0.097, p < .0001). Adding PRS-5 did not significantly increase predictive performance. Findings were consistent in individuals with obesity, diabetes, or alcohol risk use, and regardless of whether gamma-glutamyltransferase was used in the CLivD score. A combination of ELF and CLivD score predicts liver-related outcomes significantly better than the ELF test alone.

Non-invasive candidate proteinsignature predicts hepatic venous pressure gradient reduction in cirrhotic patients after sustained virologic response.

A reduction in hepatic venous pressure gradient (HVPG) is the most accurate marker for assessing the severity of portal hypertension and the effectiveness of intervention treatments. This study aimed to evaluate the prognostic potential of blood-based proteomic biomarkers in predicting HVPG response amongst cirrhotic patients with portal hypertension due to Hepatitis C virus (HCV) and had achieved sustained virologic response (SVR). The study comprised 59 patients from two cohorts. Patients underwent paired HVPG (pretreatment and after SVR), liver stiffness (LSM), and enhanced liver fibrosis scores (ELF) measurements, as well as proteomics-based profiling on serum samples using SomaScan® at baseline (BL) and after SVR (EOS). Machine learning with feature selection (Caret, Random Forest and RPART) methods were performed to determine the proteins capable of classifying HVPG responders. Model performance was evaluated using AUROC (pROC R package). Patients were stratified by a change in HVPG (EOS vs. BL) into responders (greater than 20% decline in HVPG from BL, or <10 mmHg at EOS with >10 mmHg at BL) and non-responders. LSM and ELF decreased markedly after SVR but did not correlate with HVPG response. SomaScan (SomaLogic, Inc., Boulder, CO) analysis revealed a substantial shift in the peripheral proteome composition, reflected by 82 significantly differentially abundant proteins. Twelve proteins accurately distinguished responders from non-responders, with an AUROC of .86, sensitivity of 83%, specificity of 83%, accuracy of 83%, PPV of 83%, and NPV of 83%. A combined non-invasive soluble protein signature was identified, capable of accurately predicting HVPG response in HCV liver cirrhosis patients after achieving SVR.

CCL24 regulates biliary inflammation and fibrosis in primary sclerosing cholangitis.

ˆCCL24 is a pro-fibrotic, pro-inflammatory chemokine expressed in several chronic fibrotic diseases. In the liver, CCL24 plays a role in fibrosis and inflammation, and blocking CCL24 led to reduced liver injury in experimental models. We studied the role of CCL24 in primary sclerosing cholangitis (PSC) and evaluated the potential therapeutic effect of blocking CCL24 in this disease. Multidrug resistance gene 2-knockout (Mdr2-/-) mice demonstrated CCL24 expression in liver macrophages and were used as a relevant experimental PSC model. CCL24-neutralizing monoclonal antibody, CM-101, significantly improved inflammation, fibrosis, and cholestasis-related markers in the biliary area. Moreover, using spatial transcriptomics, we observed reduced proliferation and senescence of cholangiocytes following CCL24 neutralization. Next, we demonstrated that CCL24 expression was elevated under pro-fibrotic conditions in primary human cholangiocytes and macrophages, and it induced proliferation of primary human hepatic stellate cells and cholangiocytes, which was attenuated following CCL24 inhibition. Correspondingly, CCL24 was found to be highly expressed in liver biopsies of patients with PSC. CCL24 serum levels correlated with Enhanced Liver Fibrosis score, most notably in patients with high alkaline phosphatase levels. These results suggest that blocking CCL24 may have a therapeutic effect in patients with PSC by reducing liver inflammation, fibrosis, and cholestasis.

1696-P: Changes in Clinical and Metabolic Parameters Related to NAFLD in Obese Subjects Who Underwent Laparoscopic Sleeve Gastrectomy

More research is needed on the effect of laparoscopic sleeve gastrectomy (LSG) on NAFLD and related parameters. A total of 51 morbidly obese subjects with NAFLD who would undergo LSG were included, with liver biopsy performed during LSG in 46 patients. Various clinical parameters and blood biomarkers related to NAFLD were measured before and 6 months after LSG, which included fat content in the liver (LFC) and pancreas (PFC) by MRI-PDFF, liver stiffness measurement by MR elastography (MRE-LSM), and others. After LSG, there was a significant decrease in body weight and LFC: 102.0 ± 15.3 vs. 76.3 ± 14.3 kg and 19.4 ± 9.1% vs. 5.7 ± 2.9%, respectively, p &amp;lt;0.001 each. And, body fat on DXA, PFC, and visceral fat area measured by MRI, and, fasting plasma levels of total GIP and glucagon decreased significantly after bariatric surgery, with no change in total GLP-1 and peptide YY levels. Notably, there was a marked increase in plasma levels of FGF21 (547.1 ± 890.5 pg/ml vs. 1085 pg/ml ± 1883.75, p&amp;lt;0.05) and oxyntomodulin (436.0 ± 351.4 pg/ml vs. 1533.6 ± 624.4 pg/ml, p&amp;lt;0.001). These changes were accompanied by a significant reduction of NASH blood biomarkers such AKR1B10, cytokeratin 18, and complement C3. And, MRE-LSM, a marker of liver fibrosis, decreased significantly after LSG (3.1 ± 0.8 kPa vs. 2.7 ± 0.1 kPa, p &amp;lt;0.01), but enhanced liver fibrosis score did not. Only 15.2% of patients with biopsy-proven NAFLD showed more than 25% decrease in MRE-LSM, and baseline fibrosis degree was only the predictor of this decrease in MRE-LSM after LSG. Our results show that in patients with morbid obesity, marked reduction of body weight and LFC and a significant increase in plasma FGF21 and oxyntomodulin levels were observed 6 months after LSG, with the reduction of several markers of NASH. However, a meaningful MRE-LSM improvement was observed only in a small proportion of patients, which warrants long-term follow-up of patients with NASH/fibrosis who underwent LSG. Disclosure D.Lee: None. I.Park: None. Funding National Research Foundation of Korea (2021R1A5A2030333, 2019R1I1A2A02062305)

SAT-454 - A screening strategy of hidden compensated advanced chronic liver disease in diabetic outpatients using sequential and automatic fibrosis-4 and enhanced liver fibrosis scores

SAT-454 - A screening strategy of hidden compensated advanced chronic liver disease in diabetic outpatients using sequential and automatic fibrosis-4 and enhanced liver fibrosis scores

SAT-428 - Associations of genetic risk panel with enhanced liver fibrosis scores among patients with non-alcoholic fatty liver disease

SAT-428 - Associations of genetic risk panel with enhanced liver fibrosis scores among patients with non-alcoholic fatty liver disease

The combination of the enhanced liver fibrosis and FIB-4 scores to determine significant fibrosis in patients with nonalcoholic fatty liver disease.

The presence of fibrosis in NAFLD is the most significant risk factor for adverse outcomes. We determined the cutoff scores of two non-invasive te sts (NITs) to rule in and rule out significant fibrosis among NAFLD patients. Clinical data and liver biopsies were used for NAFLD patients included in this analysis (2001-2020). The enhanced liver fibrosis (ELF) and FIB-4 NITs were calculated. Liver biopsies were read by a single hematopathologist and scored by the NASH CRN criteria. Significant fibrosis was defined as stage F2-F4. There were 463 NAFLD patients included: 48 ± 13 years old, 31% male, 35% type 2 diabetes; 39% had significant fibrosis; mean ELF score was 9.0 ± 1.2, mean FIB-4 score was 1.22 ± 1.05. Patients with significant fibrosis were older, more commonly male, had lower BMI but more components of metabolic syndrome, higher ELF and FIB-4 (p < 0.0001). The performance of the two NITs in identifying significant fibrosis was: AUC (95% CI)=0.78 (0.74-0.82) for ELF, 0.79 (0.75-0.83) for FIB-4. The combination of ELF score ≥9.8 and FIB-4 ≥ 1.96 returned a positive predictive value of 95% which can reliably rule in significant fibrosis (sensitivity 22%, specificity >99%), while an ELF score ≤7.7 or FIB-4 ≤ 0.30 had a negative predictive value of 95% ruling out significant fibrosis (sensitivity 98%, specificity 22%). The combination of ELF and FIB-4 may provide practitioners with easily obtained information to risk stratify patients with NAFLD who could be referred to specialists or for enrollment in clinical trials.

Performance of the Enhanced Liver Fibrosis Score, Comparison with Vibration-controlled Transient Elastography Data, and Development of a Simple Algorithm to Predict Significant Liver Fibrosis in a Community-based Liver Service: A Retrospective Evaluation.

Liver fibrosis is a key risk factor for cirrhosis, hepatocellular carcinoma and end stage liver failure. The National Institute for Health and Care Excellence guidelines for assessment for advanced (≥F3) liver fibrosis in people with nonalcoholic fatty liver disease recommend the use of enhanced liver fibrosis (ELF) test, followed by vibration-controlled transient elastography (VCTE). Performance of ELF at predicting significant (≥F2) fibrosis in real-world practice is uncertain. To assess the accuracy of ELF using VCTE; investigate the optimum ELF cutoff value to identify ≥F2 and ≥F3; and develop a simple algorithm, with and without ELF score, for detecting ≥F2. Retrospective evaluation of patients referred to a Community Liver Service for VCTE, Jan-Dec 2020. Assessment included: body mass index (BMI), diabetes status, alanine aminotransferase (ALT) levels, ELF score and biopsy-validated fibrosis stages according to VCTE. Data from 273 patients were available. n=110 patients had diabetes. ELF showed fair performance for ≥F2 and ≥F3, area under the curve (AUC) = 0.70, 95% confidence interval (CI) 0.64-0.76 and AUC=0.72, 95% CI: 0.65-0.79 respectively. For ≥F2 Youden's index for ELF=9.85 and for ≥F3, ELF=9.95. Combining ALT, BMI, and HbA1c (ALBA algorithm) to predict ≥F2 showed good performance (AUC=0.80, 95% CI: 0.69-0.92), adding ALBA to ELF improved performance (AUC=0.82, 95% CI: 0.77-0.88). Results were independently validated. Optimal ELF cutoff for ≥F2 is 9.85 and 9.95 for ≥F3. ALT, BMI, and HbA1c (ALBA algorithm) can stratify patients at risk of ≥F2. ELF performance is improved by adding ALBA.