Fibroscan-Based Score to Predict Significant Liver Fibrosis in Morbidly Obese Patients with Nonalcoholic Fatty Liver Disease

Accuracy of prognostic serological biomarkers in predicting liver fibrosis severity in people with metabolic dysfunction-associated steatotic liver disease: a meta-analysis of over 40,000 participants

Introduction

A prognostic model to predict liver severity in people with metabolic dysfunction-associated steatotic liver disease (MASLD) is very important, but the accuracy of the most commonly used tools is not yet well established.

Objective

The meta-analysis aimed to assess the accuracy of different prognostic serological biomarkers in predicting liver fibrosis severity in people with MASLD.

Methods

Adults ≥18 years of age with MASLD were included, with the following: liver biopsy and aspartate aminotransferase-to-platelet ratio (APRI), fibrosis index-4 (FIB-4), non-alcoholic fatty liver disease fibrosis score (NFS), body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes score (BARD score), FibroMeter, FibroTest, enhanced liver fibrosis (ELF), Forns score, and Hepascore. Meta-analyses were performed using a random effects model based on the DerSimonian and Laird methods. The study's risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2.

Results

In total, 138 articles were included, of which 86 studies with 46,514 participants met the criteria for the meta-analysis. The results for the summary area under the receiver operating characteristic (sAUROC) curve, according to the prognostic models, were as follows: APRI: advanced fibrosis (AF): 0.78, any fibrosis (AnF): 0.76, significant fibrosis (SF): 0.76, cirrhosis: 0.72; FIB-4: cirrhosis: 0.83, AF: 0.81, AnF: 0.77, SF: 0.75; NFS: SF: 0.81, AF: 0.81, AnF: 0.71, cirrhosis: 0.69; BARD score: SF: 0.77, AF: 0.73; FibroMeter: SF: 0.88, AF: 0.84; FibroTest: SF: 0.86, AF: 0.78; and ELF: AF: 0.87.

Conclusion

The results of this meta-analysis suggest that, when comparing the scores of serological biomarkers with liver biopsies, the following models showed better diagnostic accuracy in predicting liver fibrosis severity in people with MASLD: FIB-4 for any fibrosis, FibroMeter for significant fibrosis, ELF for advanced fibrosis, and FIB-4 for cirrhosis.Clinical trial registration: [https://clinicaltrials.gov/], identifier [CRD 42020180525].

Potential Hepatic Lipid Markers Associated with Nonalcoholic Steatohepatitis and Fibrosis in Morbid Obesity Patients

This study investigated differences in lipidomic profile features in nonalcoholic steatohepatitis (NASH) between mild and significant liver fibrosis cases among patients with morbid obesity. Wedge liver biopsy was performed during sleeve gastrectomy and significant liver fibrosis was defined as a fibrosis score ≥ 2. We selected patients with NASH with non/mild fibrosis (stage F0-F1; n = 30) and NASH with significant fibrosis (stage F2-F4; n = 30). The results of the liver tissue lipidomic analysis revealed that the fold changes of triglyceride (TG) (52:6); cholesterol ester (CE) (20:1); phosphatidylcholine (PC) (38:0) and (50:8); phosphatidic acid (PA) (40:4); phosphatidylinositol (PI) (49:4); phosphatidylglycerol (PG) (40:2); and sphingomyelin (SM) (35:0) and (37:0) were significantly lower in patients with NASH with F2-F4 than those with NASH with F0-F1 (p < 0.05). However, the fold changes of PC (42:4) were relatively higher in patients with NASH with stage 2-4 fibrosis (p < 0.05). Moreover, predictive models incorporating serum markers levels, ultrasonographic studies, and levels of specific lipid components [PC (42:4) and PG (40:2)] yielded the highest area under receiver operating curve (0.941), suggesting a potential correlation between NASH fibrosis stages and liver lipid accumulation among specific lipid species subclasses. This study demonstrated that the concentrations of particular lipid species in the liver correlate with NASH fibrosis stages and may indicate hepatic steatosis regression or progression in patients with morbid obesity.

Liver Stiffness in Obese Hypothyroid Patients Taking Levothyroxine

Background and Objectives: Thyroid dysfunction is associated with non-alcoholic fatty liver disease, but its role in the progression of liver damage in obese patients remains unclear. In addition, several case reports have suggested the existence of a levothyroxine-induced liver injury, which has been poorly investigated. Our aim was to verify whether a difference in the prevalence of liver fibrosis exists in a population of obese individuals taking Levothyroxine. Materials and Methods: We conducted a cross-sectional study on a population of 137 obese individuals, of which 49 were on replacement therapy with Levothyroxine. We excluded those who had hypertriglyceridemia and diabetes mellitus. All participants underwent a liver stiffness assessment by transient elastography as well as biochemical measurements. In subjects with liver fibrosis, other cause of liver fibrosis were ruled out. Results: Participants taking Levothyroxine had a higher prevalence of liver fibrosis than those not taking Levothyroxine (30.6% vs. 2.3%; p < 0.001), and these results were obtained after we made an adjustment for age (Exp(B) = 18.9; 95% CI = 4.1−87.4; p < 0.001). The liver stiffness value differed significantly between groups (6.0 ± 3.6 and 5.1 ± 1.2, p = 0.033). Of those subjects taking Levothyroxine, there were no significant differences in the dose of medication (1.21 ± 0.36 vs. 1.07 ± 0.42; p = 0.240) and treatment duration (13.7 ± 7.43 vs. 11.13 ± 6.23; p = 0.380) between those with and without liver fibrosis. Conclusions: We found, for the first time, a greater prevalence of liver fibrosis in obese individuals taking Levothyroxine than in those not taking this medication. This finding needs to be confirmed by longitudinal population studies as well as by cellular studies.

The Determinants of Liver Fibrosis in Patients with Nonalcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus

Liver fibrosis is a key pathophysiology process in chronic liver disease. It is still unclear whether the impact of liver fibrosis is not fully realized in type 2 diabetes mellitus (T2D) patients with nonalcoholic fatty liver disease (NAFLD), and the factors affecting nonalcoholic steatohepatitis (NASH) or liver stiffness also remain unclear. The aim of this study was to evaluate the determinants of liver fibrosis and in T2D patients with NAFLD. Liver fibrosis and steatosis were measured using transient elastography (FibroScan). Of 226 T2D patients with NAFLD, 50 with liver fibrosis had higher body mass index, serum uric acid, triglyceride and glycated hemoglobin levels and lower high density lipoprotein levels than 176 without liver fibrosis. Multivariate analysis revealed that aging, obesity, sulfonylurea usage and high levels of AST increased the risk of liver fibrosis in T2D patients with NAFLD. Our findings provide useful information to clinical physicians for earlier detection of liver fibrosis in T2D patients with NAFLD and to prevent liver fibrosis through controlling these risk factors.

Lower prevalence of hepatic fibrosis in low viremic hepatitis B patients with fluctuating HBV DNA levels

BACKGROUND

In chronic hepatitis B virus (HBV) patients, fluctuations in HBV DNA serve as a "gray area" and impede the accurate identification of inactive carriers. We aimed to assess if such fluctuations impact the presence of significant hepatic fibrosis (Metavir F2-4) in chronic HBV patients.

METHODS

Consecutive, untreated HBeAg-negative carriers (n = 234) with fluctuating HBV DNA (n = 73) above or below a level of 2000 IU/mL were included and compared to those without fluctuations (n = 161). Patients without fluctuating HBV DNA were further analyzed based on those with persistently low (<2,000 IU/mL, n = 137) and higher HBV DNA (2,000-20,000 IU/mL, n = 24). Hepatic fibrosis (assessed by transient elastography) was correlated with virologic and biochemical profiles.

RESULTS

The mean age of the overall cohort was 47.8 ± 11.1 years, of whom 107 (45.7%) were male. During a median of 60 months (interquartile range [IQR] 34-82) of follow-up, 73 (31.2%) patients had a mean of 1.6 ± 0.9 fluctuations in HBV DNA. The median time to the first fluctuation was at 14.5 (IQR 5.0-33.7) months. Patients with fluctuating viremia had higher log₁₀ qHBsAg (3.1 ± 0.8 vs. 2.7 ± 1.0, P = 0.022) and HBV DNA (3.4 ± 0.5 vs. 2.7 ± 0.8, P < 0.001) compared to those without fluctuations. Patients with fluctuant viremia were less likely to have F2-4 fibrosis (8.2%) compared to those without fluctuant viremia (18.2%, odds ratio [OR]: 0.407, 95% confidence interval [CI]: 0.161-1.030; P = 0.052). Males tended to have less fluctuation constituting 37.0% of patients with fluctuating HBV DNA (P = 0.071). Fluctuations occurred more frequently in those with predominantly higher HBV DNA levels (26.0%) compared to those without fluctuations (14.9%; P = 0.030).

CONCLUSIONS

Fluctuating HBV DNA levels occur frequently but are not associated with significant fibrosis. Minor fluctuations in HBV DNA levels are unlikely to be of clinical relevance.

The Utility and Diagnostic Accuracy of Transient Elastography in Adults with Morbid Obesity: A Prospective Study

Patients with morbid obesity are at high risk for nonalcoholic fatty liver disease (NAFLD) complicated by liver fibrosis. The clinical utility of transient elastography (TE) by Fibroscan in patients with morbid obesity (body mass index (BMI) ≥ 40 kg/m²) is not well-defined. We examined the diagnostic accuracy of Fibroscan in predicting significant liver fibrosis (fibrosis stage ≥2) in morbidly obese patients (BMI ≥ 40 kg/m²). Patients scheduled for bariatric surgery were prospectively enrolled. Intraoperative liver biopsy, liver-stiffness measurement (LSM) by Fibroscan (XL probe), and biochemical evaluation were all performed on the same day. The endpoint was significant liver fibrosis defined as fibrosis stage ≥2 based on the Nonalcoholic Steatohepatitis Clinical Research Network. The optimal LSM cutoff value for detecting significant fibrosis was determined by using the Youden Index method. Routine clinical, laboratory, and elastography data were analyzed by stepwise logistic regression analysis to identify predictors of significant liver fibrosis and build a predictive model. An optimal cutoff point of the new model’s regression formula for predicting significant fibrosis was determined by using the Youden index method. One hundred sixty-seven patients (mean age, 46.4 years) were included, of whom 83.2% were female. Histological assessment revealed the prevalence of steatohepatitis and significant fibrosis of 40.7% and 11.4%, respectively. The median LSM was found to be significantly higher in the significant fibrosis group compared to those in the no or non-significant fibrosis group (18.2 vs. 7.7 kPa, respectively; p = 0.0004). The optimal LSM cutoff for predicting significant fibrosis was 12.8 kPa, with an accuracy of 71.3%, sensitivity of 73.7%, specificity of 70.9%, positive predictive value of 24.6%, negative predictive value of 95.5%, and ROC area of 0.723 (95% CI: 0.62–0.83). Logistic regression analysis identified three independent predictors of significant fibrosis: LSM, hemoglobin A1c, and alkaline phosphatase. A risk score was developed by using these three variables. At an optimal cutoff value of the regression formula, the risk score had an accuracy of 79.6% for predicting significant fibrosis, sensitivity of 89.5%, specificity of 78.4%, positive predictive value of 34.7%, negative predictive value of 98.3%, and ROC area of 0.855 (95% CI: 0.76–0.95). Fibroscan utility in predicting significant liver fibrosis in morbidly obese subjects is limited with accuracy of 71.3%. A model incorporating hemoglobin A1c and alkaline phosphatase with LSM improves accuracy in detecting significant fibrosis in this patient population.

Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD: A systematic review and meta-analysis

BACKGROUND AND AIMS

Vibration-controlled transient elastography (VCTE), point shear wave elastography (pSWE), 2-dimensional shear wave elastography (2DSWE), magnetic resonance elastography (MRE), and magnetic resonance imaging (MRI) have been proposed as non-invasive tests for patients with non-alcoholic fatty liver disease (NAFLD). This study evaluated their diagnostic accuracy for liver fibrosis and non-alcoholic steatohepatitis (NASH).

METHODS

PubMED/MEDLINE, EMBASE and the Cochrane Library were searched for studies examining the diagnostic accuracy of these index tests, against histology as the reference standard, in adult patients with NAFLD. Two authors independently screened and assessed methodological quality of studies and extracted data. Summary estimates of sensitivity, specificity and area under the curve (sAUC) were calculated for fibrosis stages and NASH, using a random effects bivariate logit-normal model.

RESULTS

We included 82 studies (14,609 patients). Meta-analysis for diagnosing fibrosis stages was possible in 53 VCTE, 11 MRE, 12 pSWE and 4 2DSWE studies, and for diagnosing NASH in 4 MRE studies. sAUC for diagnosis of significant fibrosis were: 0.83 for VCTE, 0.91 for MRE, 0.86 for pSWE and 0.75 for 2DSWE. sAUC for diagnosis of advanced fibrosis were: 0.85 for VCTE, 0.92 for MRE, 0.89 for pSWE and 0.72 for 2DSWE. sAUC for diagnosis of cirrhosis were: 0.89 for VCTE, 0.90 for MRE, 0.90 for pSWE and 0.88 for 2DSWE. MRE had sAUC of 0.83 for diagnosis of NASH. Three (4%) studies reported intention-to-diagnose analyses and 15 (18%) studies reported diagnostic accuracy against pre-specified cut-offs.

CONCLUSIONS

When elastography index tests are acquired successfully, they have acceptable diagnostic accuracy for advanced fibrosis and cirrhosis. The potential clinical impact of these index tests cannot be assessed fully as intention-to-diagnose analyses and validation of pre-specified thresholds are lacking.

LAY SUMMARY

Non-invasive tests that measure liver stiffness or use magnetic resonance imaging (MRI) have been suggested as alternatives to liver biopsy for assessing the severity of liver scarring (fibrosis) and fatty inflammation (steatohepatitis) in patients with non-alcoholic fatty liver disease (NAFLD). In this study, we summarise the results of previously published studies on how accurately these non-invasive tests can diagnose liver fibrosis and inflammation, using liver biopsy as the reference. We found that some techniques that measure liver stiffness had a good performance for the diagnosis of severe liver scarring.

Multiparametric Quantitative US Examination of Liver Fibrosis: A Feature-engineering and Machine-learning Based Analysis

Quantitative ultrasound (QUS), which is commonly used to extract quantitative features from the ultrasound radiofrequency (RF) data or the RF envelope signals for tissue characterization, is becoming a promising technique for noninvasive assessments of liver fibrosis. However, the number of feature variables examined and finally used in the existing QUS methods is typically small, to some extent limiting the diagnostic performance. Therefore, this paper devises a new multiparametric QUS (MP-QUS) method which enables the extraction of a large number of feature variables from US RF signals and allows for the use of feature-engineering and machinelearning based algorithms for liver fibrosis assessment. In the MP-QUS, eighty-four feature variables were extracted from multiple QUS parametric maps derived from the RF signals and the envelope data. Afterwards, feature reduction and selection were performed in turn to remove the feature redundancy and identify the best combination of features in the reduced feature set. Finally, a variety of machine-learning algorithms were tested for classifying liver fibrosis with the selected features, based on the results of which the optimal classifier was established and used for final classification. The performance of the proposed MPQUS method for staging liver fibrosis was evaluated on an animal model, with histologic examination as the reference standard. The mean accuracy, sensitivity, specificity and area under the receiver-operating-characteristic curve achieved by MP-QUS are respectively 83.38%, 86.04%, 80.82% and 0.891 for recognizing significant liver fibrosis, and 85.50%, 88.92%, 85.24% and 0.924 for diagnosing liver cirrhosis. The proposed MP-QUS method paves a way for its future extension to assess liver fibrosis in human subjects.

Predictive scoring system for advanced liver fibrosis in Japanese patients with severe obesity

PURPOSE

The aim of this study was to examine the predictive scoring system of advanced liver fibrosis in severely obese Japanese patients.

METHODS

Seventy-two patients underwent laparoscopic sleeve gastrectomy and intraoperative liver biopsies. We classified these patients into two groups: Brunt stage ≥ 2 (advanced fibrosis) and 0/1 (none/mild fibrosis). A logistic regression analysis was performed to identify the predictors of advanced fibrosis.

RESULTS

Sixteen patients had advanced fibrosis, while 56 had no/mild fibrosis. The prevalence of type 2 diabetes mellitus (T2DM) in advanced fibrosis group was significantly higher than in none/mild fibrosis. An univariate analysis of the factors predicting advanced fibrosis showed significant differences in AST/ALT ratio, serum insulin levels, HOMA-IR, and type IV collagen 7S in the T2DM group. According to a multivariate analysis, type IV collagen 7S was an independent predictor and the cutoff value was 5.6 ng/mL. We created a flow chart; high risk (T2DM and type IV collagen 7S ≥ 5.6 ng/mL), moderate risk (T2DM and type IV collagen 7S < 5.6 ng/mL), and low risk (non-DM). For those at high risk, the sensitivity, specificity, positive predictive value, and negative predictive value were 56.2%, 94.4%, 75.0%, and 87.9%, respectively.

CONCLUSION

This classification system has the potential to accurately categorize the risk of liver fibrosis.

Interleukin-2 receptor alpha as a biomarker for nonalcoholic fatty liver disease diagnosis

BACKGROUND

Two recent studies in the adult and pediatric Nonalcoholic Steatohepatitis-Clinical Research Network (NASH-CRN) cohorts have shown that soluble interleukin-2 receptor alpha (IL2RA) levels increased with fibrosis severity. However, no hepatic study has been conducted in Asian morbidly obese patients who underwent bariatric surgery. In this study, we proposed IL2RA as a biomarker for nonalcoholic fatty liver disease (NAFLD) diagnosis and performed immunohistochemistry (IHC) staining of IL2RA.

METHODS

This prospective cohort study enrolled 123 morbidly obese patients who underwent bariatric surgery at Taipei Medical University Hospital from October 2016 to June 2018. During bariatric surgery, all patients underwent a wedge liver biopsy under laparoscopic guidance. The diagnoses of NASH and liver fibrosis were made histologically. In IHC of IL2RA, the number of lymphocytes with IL2RA immunoreactivity was counted in five high-power fields (×400, total: 1.19 mm2).

RESULTS

Among the 123 patients, the mean age was 35.5 years, mean body mass index (BMI) was 40.6 kg/m2, 87 (70.7%) were female, 25 (20.7%) had diabetes mellitus, and 57 (46.3%; 11 with non-NAFLD and 46 with steatosis) and 66 (53.7%) were included in the non-NASH and NASH groups, respectively. The NASH group had higher IHC of IL2RA than the non-NASH group. In multivariate analysis, IHC of IL2RA (odds ratio, 1.025; 95% confidence interval, 1.006-1.045; p = 0.011) and alanine aminotransferase (ALT; odds ratio, 1.045; 95% confidence interval, 1.018-1.073; p = 0.001) were the independent factors associated with NASH. The area under the receiver operating curve of IL2RA IHC for NASH was 0.627 at the cutoff value of 82 (p = 0.0113).

CONCLUSION

IL2RA is significantly associated with NASH in morbidly obese patients and would be a useful biomarker for NASH diagnosis.

Performance of Noninvasive Liver Fibrosis Tests in Morbidly Obese Patients with Nonalcoholic Fatty Liver Disease

Background

Nonalcoholic fatty liver disease (NAFLD) is highly prevalent in morbidly obese patients, and fibrosis is an independent predictor of mortality. Noninvasive tests (NITs) are being developed for the detection of advanced fibrosis (AF).

Purpose

To assess the performance of three NITs (NAFLD fibrosis score, NFS, fibrosis-4 index, FIB-4, and aspartate aminotransferase-to-platelet ratio, APRI), in the identification of AF among morbidly obese patients.

Materials and Methods

Patients, who underwent bariatric surgery between 2004 and 2009 and had liver biopsy, were included. Fibrosis stages ≥ F2 and ≥ F3 were defined as significant and AF, respectively. Published and optimal thresholds (Youden index) for NFS, FIB-4 and APRI, sensitivity, specificity, positive and negative predictive values (PPV-NPV), and area under the receiver operator curves (AUROC) were evaluated.

Results

Among 584 patients (mean age 43.3 ± 11.3 years, 21.2% male, 75% white, mean BMI 45.5 ± 8.80), 31.7% had NASH. Stages distributions were F1 = 68.1%, F2 = 16.4%, F3 = 8%, and F4 = 3.2%. At published thresholds, all 3 NITs performed poorly for detection of AF, with AUROC < 0.62. Overall performance at optimal thresholds improved to 0.68, 0.72, and 0.74 for NFS, FIB-4, and APRI, respectively. At optimal thresholds, all tests had good NPV (94.4–95.9%) but low PPV (24.2–32.5%). Combinations of the tests did not improve their performance.

Conclusions

NFS, FIB-4, and APRI fall short to detect advanced fibrosis but valuable for excluding advanced fibrosis. More research is needed to develop new NITs with high positive predictive value.

Electronic supplementary material

The online version of this article (10.1007/s11695-020-04996-1) contains supplementary material, which is available to authorized users.

Artificial Neural Network Model for Liver Cirrhosis Diagnosis in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma

Background

Testing for the presence of liver cirrhosis (LC) is one of the most critical diagnostic and prognostic assessments for patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). More non-invasive tools are needed to diagnose LC but the predictive abilities of current models are still inconclusive. This study aimed to develop and validate a novel and non-invasive artificial neural network (ANN) model for diagnosing LC in patients with HBV-related HCC using routine laboratory serological indicators.

Methods

A total of 1152 HBV-related HCC patients who underwent hepatectomy were included and randomly divided into the training set (n = 864, 75%) and validation set (n = 288, 25%). The ANN model was constructed from the training set using multivariate Logistic regression analysis and then verified in the validation set.

Results

The morbidity of LC in the training and validation sets was 41.2% and 46.8%, respectively. Multivariate analysis showed that age, platelet count, prothrombin time and total bilirubin were independent risk factors for LC (P < 0.05). The area under the ROC curve (AUC) analyses revealed that the ANN model had higher predictive accuracy than the Logistic model (ANN: 0.757 vs Logistic: 0.721; P < 0.001), and other scoring systems (ANN: 0.757 vs CP: 0.532, MELD: 0.594, ALBI: 0.575, APRI: 0.621, FIB-4: 0.644, AAR: 0.491, and GPR: 0.604; P < 0.05 for all) in diagnosing LC. Similar results were obtained in the validation set.

Conclusion

The ANN model has better diagnostic capabilities than other commonly used models and scoring systems in assessing LC risk in patients with HBV-related HCC.

Safety and Efficacy of Bariatric Surgery in Advanced Liver Fibrosis

BACKGROUND

There is limited data on the safety and efficacy of metabolic and bariatric (MBS) surgery in patients with advanced liver fibrosis.

METHODS

This is a retrospective analysis of data of patients with advanced liver fibrosis undergoing MBS at a tertiary care centre. Weight loss and complications were analysed. Transient elastography and liver biopsy findings 1 year after surgery were compared with baseline.

RESULTS

Twenty-two patients had cirrhosis and 16 had stage 3 fibrosis; all were Child Pugh A. Majority (76%) underwent sleeve gastrectomy. Mean excess BMI loss was 65.8 ± 18.9%. There were no leaks or 30-day mortality. One patient with cirrhosis had late mortality due to liver decompensation. Preoperative and postoperative median LSM were 15.5 kPa (interquartile range IQR = 24.4-11.6) and 10.9 kPa (IQR 19.3-7.6), respectively. Preoperative and postoperative median CAP were 352.5 dB/m (IQR = 372-315.5) and 303 dB/m (IQR 331-269.5), respectively. On follow-up biopsy, nine of twelve patients had improvement in fibrosis, while three had no change. Four out of five patients in the cirrhotic cohort had improvement in fibrosis stage and LSM improved in all of them. Five out of seven patients with stage 3 fibrosis had an improvement in fibrosis stage and none progressed to cirrhosis. LSM improved in three of these five patients.

CONCLUSION

MBS has the potential to ameliorate advanced liver fibrosis, including cirrhosis. Transient elastography can be used as an effective tool for screening and follow-up of liver disease in patients undergoing MBS.