Predicting Liver Fibrosis Research Articles

Serological indices and ultrasound variables in predicting the staging of hepatitis B liver fibrosis: A comparative study based on random forest algorithm and traditional methods.

To compare the diagnostic efficacy of serological indices and ultrasound (US) variables in hepatitis B virus (HBV) liver fibrosis staging using random forest algorithm (RFA) and traditional methods. The demographic and serological indices and US variables of patients with HBV liver fibrosis were retrospectively collected and divided into serology group, US group, and serology + US group according to the research content. RFA was used for training and validation. The diagnostic efficacy was compared to logistic regression analysis (LRA) and APRI and FIB-4 indices. For the serology group, the diagnostic performance of RFA was significantly higher than that of APRI and FIB-4 indices. The diagnostic accuracy of RFA in the four classifications (S0S1/S2/S3/S4) of the hepatic fibrosis stage was 79.17%. The diagnostic accuracy for significant fibrosis (≥S2), advanced fibrosis (≥S3), and cirrhosis (S4) was 87.99%, 90.69%, and 92.40%, respectively. The area under the curve (AUC) values were 0.945, 0.959, and 0.951, respectively. For the US group, there was no significant difference in diagnostic performance between RFA and LRA. The diagnostic performance of RFA in the serology + US group was significantly better than that of LRA. The diagnostic accuracy of the four classifications (S0S1/S2/S3/S4) of the hepatic fibrosis stage was 77.21%. The diagnostic accuracy for significant fibrosis (≥S2), advanced fibrosis (≥S3), and cirrhosis (S4) was 87.50%, 90.93%, and 93.38%, respectively. The AUC values were 0.948, 0.959, and 0.962, respectively. RFA can significantly improve the diagnostic performance of HBV liver fibrosis staging. RFA based on serological indices has a good ability to predict liver fibrosis staging. RFA can help clinicians accurately judge liver fibrosis staging and reduce unnecessary biopsies.

Accuracy of FIB-4 and APRI scores compared to transient elastography for liver fibrosis in patients with HIV and HBV co-infection.

Due to economic shortages and concern about occupational exposure to HIV, liver biopsy and transient elastography (TE) are rarely available in patients with HIV/HBV co-infection in China, where HIV/HBV co-infection is prevalent. The accuracy of FIB-4 and APRI for predicting liver fibrosis was compared with TE results in a series of 460 HIV/HBV co-infected patients. FIB-4 and APRI scores were strongly correlated to liver stiffness measurement scores by TE, and the correlation index was 81.4-96.3. An FIB-4 index >1.5 had a positive predictive value of 95.2% to consider fibrosis with a sensitivity of 85.7%. An APRI index >0.5 had a positive predictive value of 98.2% to consider fibrosis with a sensitivity of 76.0%. A FIB-4 value <1.5 or APRI <0.5 were concordant with TE results to exclude fibrosis in 94.4% and 96.8%, respectively. A FIB-4 value >1.5 or APRI >0.5 were concordant with fibrosis diagnosed by TE in 77.6-89.4% and 70.7-80.9%, respectively. In areas with limited resources, FIB-4 and APRI indexes were accurate, simple and inexpensive methods for assessing liver fibrosis in patients with HIV/HBV co-infection.

Establishment and validation of a predictive nomogram for liver fibrosis in patients with Wilson disease and abnormal lipid metabolism

To establish and validate predictive nomogram for liver fibrosis in patients with Wilson disease (WD) showing abnormal lipid metabolism. We retrospectively collected the clinical data of 500 patients with WD showing abnormalities in lipid metabolism, who were treated in the Department of Encephalopathy of the First Affiliated Hospital of Anhui University of Chinese Medicine from December, 2018 to December, 2021 and divided into modeling group and validation group. The independent risk factors of liver fibrosis in these patients were screened using LASSO regression and multivariate logistic regression analysis for establishment of the predictive nomogram. The area under the curve (AUC), calibration curve and decision curve of the receiver-operating characteristic curve (ROC) were used for internal and external verification of the nomogram in the modeling and validation group and evaluating the differentiation, calibration and clinical practicability of the model. Triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and apolipoprotein B (Apo-B) were independent risk factors for the development of liver fibrosis in patients with WD and abnormal lipid metabolism (P < 0.05). The predictive nomogram showed good discrimination, calibration and clinical utility in both the modeling and validation groups. The established predictive nomogram in this study has a high accuracy for early identification and risk prediction of liver fibrosis in patients with WD having abnormal lipid metabolism.

The role of Aspartate Aminotransferase-to-Platelet ratio (APRI) in the Prediction of Liver Fibrosis in Chronic HCV Patients

Abstract Introduction/Objective Chronic hepatitis C virus (HCV) infection is typically characterized by slowly progressive hepatic fibrosis, with progression from stage 0 (no fibrosis) to stage 4 (cirrhosis). Aspartate aminotransferase-to- platelet ratio (APRI) may be a simple and convenient noninvasive diagnostic test because it is based on the regular laboratory tests and demographic data. However, its overall test performance in various settings remains questionable. Methods/Case Report Objectives: This study aimed to evaluate the diagnostic accuracy of APRI in the prediction of hepatic fibrosis. Subjects and Methods: Serum samples were collected from patients recruited from Internal Medicine Dept., Mansoura University Hospitals, Egypt. The study included 118 liver fibrosis patients associated with chronic HCV infection (60 males and 58 females) and 50 age-matched healthy volunteers (27 males and 23 females). The HCV infection was diagnosed based on biochemical, serologic, and histological criteria. All samples of fibrotic liver patients showed a positive result for anti-HCV Abs using ELISA as a confirmatory test. AST, ALT, albumin, and total bilirubin were measured using standard methodologies. Routine blood pictures, including platelets counting were determined. The AST-ALT ratio was calculated as [AST/ ALT]. The APRI was calculated as [AST/ (upper limits of normal)/ platelets count 109/L]×100. Results (if a Case Study enter NA) There was no statistically significant difference between sex distribution in liver fibrosis patients and healthy volunteers. The mean±SD was (46.1±10.44 and 33.3±11.13) respectively. The medians of the selected laboratory markers in the healthy group and liver fibrotic patients were (41,39), (272.5,167), (36,54), (35.5,51), (0.9,0.98), (0.71,2.5), and (0.34, 0.86) for Albumin, Platelet count, AST, ALT, AST/ALT ratio, Total Bilirubin, APRI respectively. There was a statistically significant difference between the two groups in all laboratory parameters (p&amp;lt;0.001) and for APRI (p&amp;lt;0.0001). Conclusion The evaluation of APRI is uncomplicated, inexpensive, and has a reasonable degree of diagnostic accuracy in determining whether or not patients with chronic HCV have liver fibrosis.

A novel plasma proteomic-based model for predicting liver fibrosis in HIV/HBV co-infected adults.

To establish a plasma model to predict the risk of liver fibrosis in HIV/HBV co-infected individuals. Quantitative liquid chromatography-tandem mass spectrometry(LC-MS/MS) was used to identify differentially expressed proteins (DEPs) in plasma collected from HIV/HBV co-infected individuals with and without liver fibrosis. In total, 97 DEPs were identified, among which 11 were further validated as potential biomarkers, with immunoglobulin and complement components being the most common proteins. These markedly altered proteins were found to mediate pathophysiological pathways, including humoral immune response, complement and coagulation cascades, and complement activation. A visual logistic model, in which immunoglobulin heavy variable 3-20 (IGHV3-20), immunoglobulin heavy variable 1-24 (IGHV1-24), and macrophage colony-stimulating factor 1 receptor (CSF1R) proteins were included, has been established to predict liver fibrosis in HIV/HBV co-infected individuals. The preliminary conclusion showed that the combination of IGHV3-20, IGFHV1-24, and CSF1R is expected to become a predictive model for liver fibrosis in the context of HIV/HBV co-infection and a further validation should be performed.

S1228 EUS-Guided Shear Wave Elastography Appears to Be More Accurate Than Transient Elastography in Predicting Liver Fibrosis Staging in Patients With Obesity

Introduction: Transient elastography (TE) is a non-invasive clinical tool used to assess liver stiffness measurement (LSM) and can be correlated to liver fibrosis staging. Obesity can make elastography challenging to perform due to increased abdominal wall thickness, with high failure rates for TE. Fibroscan XL probes have lower failure rates, though it is unclear if readings are reliable or correlate well with liver biopsies. EUS guided shear wave elastography (EUS-SWE) can potentially circumvent this limitation, as liver parenchyma via EUS can be visualized under a thin subcentimeter gastric or duodenal wall, which does not change appreciably with body habitus. We aim to determine whether TE or EUS-SWE correlate better with liver biopsy fibrosis staging for patients with obesity. Methods: A retrospective chart review was performed for patients with obesity at a single tertiary hospital from Dec 2021 to May 2022. Patients with obesity (BMI≥30) with LSM concerning for advanced fibrosis (F3 or F4) were referred for EUS-SWE and EUS guided liver biopsy, both of which performed in the left liver lobe. LSM (reported in kPa) were correlated with fibrosis staging on liver biopsy and were considered accurate if they fell within cutoff ranges: kPa ≤7 = F0-1, kPa 7-8 = F2, kPa 8-12 = F3, and kPa >12 = F4. No established cutoffs exist for EUS-SWE, so stiffness values were compared to that for TE on which were closer to TE cutoff ranges. Results: 12 consecutive patients with obesity underwent TE, EUS-SWE, and EUS guided liver biopsy. The mean age was 55.3 [range 18-69], 9 (75%) were females, and mean BMI was 44.9 [range 30.2-67.8]. LSM ranged from 9.1 to 41.9 kPa. Only 2 (17%) patients’ TE results correlated accurately with liver fibrosis staging on biopsy; see Table. Assuming similar fibrosis staging cutoff ranges for TE, EUS-SWE accurately downgraded 8 (67%) patients and demonstrated no change for 4 (33%) patients. EUS-SWE was closer to biopsy LSM cutoffs for 9 (75%) patients, while TE was more accurate in only 1 (8%) patient. Conclusion: In this small cohort of patients with obesity with possible advanced fibrosis, TE appeared to overdiagnose fibrosis stage, while EUS-SWE appeared to downgrade LSM appropriately for patients who were overdiagnosed. Larger cohort studies are ongoing to allow proper interpretation of EUS-SWE stiffness values and compare its utility and accuracy to TE. Table 1. - Individual patient data with basic demographics, transient elastography data, EUS shear wave elastography data, and data comparison and analysis Patient # Age Gender BMI TE LSM Value (kPa) Fibrosis Staging Based on TE Cutoff Fibrosis Stage on Biopsy (TE cutoffs) TE LSM as Compared to Fibrosis Staging on Biopsy EUS-SWE Stiffness (kPa) Closer to Biopsy Cutoffs? TE vs EUS-SWE How Did EUS-SWE Compare to TE via Fibrosis Staging ? 1 58 Female 62.4 9.1 F3 F0 (kPa≤7mmHg) Overstaged 5 EUS-SWE Downgraded 2 68 Female 39 9.9 F3 F0 (≤7) Overstaged 4.9 EUS-SWE Downgraded 3 59 Female 32.6 9.4 F3 F0 (≤7) Overstaged 6.3 EUS-SWE Downgraded 4 63 Female 32.8 15.7 F4 F0 (≤7) Overstaged 7.3 EUS-SWE Downgraded 5 48 Male 67.8 41.9 F4 F0 (≤7) Overstaged 7.3 EUS-SWE Downgraded 6 63 Female 38 9.4 F3 F0 (≤7) Overstaged 2 EUS-SWE Downgraded 7 56 Male 43.6 9.6 F3 F3 (8-12) Appropriate Stage 10.5 EUS-SWE No Change 8 18 Female 61.1 34.6 F4 F2 (7-8) Overstaged 19.6 EUS-SWE Downgraded 9 53 Female 32.6 20.5 F4 F4 (≥12) Appropriate Stage 21.7 Same No change 10 55 Male 34.9 12.2 F4 F2 (7-8) Overstaged 12.2 Same No Change 11 53 Female 30.2 14 F4 F3 (8-12) Overstaged 15.2 TE No Change 12 69 Female 64.1 14.7 F4 F2 (7-8) Overstaged 10.2 EUS-SWE Downgraded

Fibro scan based score to predict liver fibrosis in patients with liver disease and its correlation with anthropometric measurements

Fibro scan based score to predict liver fibrosis in patients with liver disease and its correlation with anthropometric measurements

How effective are APRI, FIB-4, FIB-5 scores in predicting liver fibrosis in chronic hepatitis B patients?

Liver fibrosis is the most important factor in the prognosis and treatment plan of patients with chronic hepatitis B (CHB). Aspartate aminotransferase (AST)-to-platelet ratio index (APRI), fibrosis index based on 4 factors (FIB-4), and fibrosis index based on 5 factors (FIB-5) scores are noninvasive fibrosis markers, and previous comparative studies have shown that they are as effective as liver biopsy in detecting liver fibrosis in different liver diseases. The aim of our study is to investigate whether existing scoring systems are effective in demonstrating fibrosis in CHB patients and to compare the APRI, FIB 4, and FIB 5 scores in differentiating early and advanced fibrosis in 123 patients who underwent liver biopsy for CHB infection. APRI, FIB-4, and FIB-5 scores of patients who underwent liver biopsy due to CHB were calculated by means of calculators and recorded to be compared with liver biopsies in terms of fibrosis scoring. One hundred twenty-three patients who underwent liver biopsy due to chronic hepatitis B were included in the study. APRI (area under the receiver-operating characteristic [ROC] curve 0.728), FIB-4 (area under the ROC curve 0.693) and FIB-5 (area under the ROC curve 0.643) scores were evaluated as significant predictors of advanced fibrosis. The scoring system with the highest positive and negative predictive value was evaluated as FIB-4. APRI, FIB-4, and FIB-5 scoring systems are appropriate scoring systems in the assessment of advanced fibrosis in patients with CHB. Our study is the first to compare APRI, FIB-4, and FIB-5 values in CHB patients, and more comprehensive studies are needed.

Application of alkaline phosphatase‑to‑platelet ratio as a novel noninvasive index predicts liver fibrosis in patients with chronic hepatitis B.

Assessment of the extent of liver fibrosis is a crucial requirement for the design of antiviral treatments for patients with chronic hepatitis B (CHB). Several non-invasive predictive indices have been developed as potential alternatives to liver biopsy for fibrosis assessment. The present study aimed to establish a novel non-invasive method for predicting liver fibrosis in patients with CHB. A total of 382 patients with CHB who underwent liver biopsy and pathological examination at The Second Hospital of Anhui Medical University (Hefei, China) were enrolled into the present study. Liver fibrosis was assessed according to the meta-analysis of histological data in viral hepatitis scoring system. Logistic regression analyses were performed to explore possibly significant characteristics associated with liver fibrosis. In addition, potential correlations between the alkaline phosphatase (AKP)-to-platelet count (PLT) ratio (APPR) and the aspartate transaminase-to-platelet ratio index (APRI), fibrosis index based on four factors (FIB-4) and γ-glutamyl transpeptidase-to-platelet ratio (GPR) were assessed using Spearman's correlation analysis. Subsequently, the performance of APPR was compared with APRI, FIB-4 and GPR using receiver operating characteristic (ROC) analysis. Logistic regression analysis identified AKP and PLT to be significant independent predictors of fibrosis. Therefore, an index was then constructed for predicting the degree of fibrosis, which was expressed using the formula APPR=AKP (IU/ml)/PLT (1x109/l). APPR was found to be positively associated with the fibrotic stage of the liver in addition to being positively correlated with APRI, FIB-4 and GPR. The area under the ROC curve (AUROC) values of APPR were also significantly higher compared with those of APRI and FIB-4 in predicting significant fibrosis but were equal to those of GPR. However, for advanced fibrosis and cirrhosis, the AUROC value of APPR was shown to be higher compared with that of APRI, FIB-4 and GPR. In conclusion, these observations suggest that APPR is a viable marker that can be used to assess liver fibrosis in patients with CHB.

Association between serum lipid profile and liver fibrosis in patients infected with Schistosoma japonicum

BackgroundLiver fibrosis is thought to have a close relationship with lipid profile. The possible association between lipids and liver fibrosis of different etiologies has been widely explored. However, the association between lipids and liver fibrosis in patients infected with Schistosoma japonicum remains unclear. In the present study we undertook a preliminary exploration of the association between lipid profile and liver fibrosis, and developed a new predictive index for liver fibrosis in S. japonicum-infected patients.MethodsA total of 1503 patients diagnosed with S. japonicum at Xiangyue Hospital, China were enrolled in this retrospective study. The patients were divided into two groups, i.e., those with and those without liver fibrosis, by two experienced schistosomiasis specialists, according to the results of liver ultrasound examination. Demographic, clinical, and laboratory data were collected. Multivariable logistic models were used to estimate the independent associations between lipid profile and liver fibrosis. Receiver operating characteristic (ROC) curves were used to assess the discriminative ability of the new index in predicting liver fibrosis in patients with schistosomiasis.ResultsLogistic regression analysis showed that high-density lipoprotein (HDL) [adjusted odds ratio (aOR), 95% confidence interval (CI) 7.334, 5.051–10.649; P < 0.001], low-density lipoprotein (LDL) (aOR, 95% CI 0.434, 0.370–0.509; P < 0.001), hemoglobin (HB) (aOR, 95% CI 0.979, 0.971–0.987; P < 0.001) and platelets (PLT) (aOR, 95% CI 0.996, 0.994–0.999; P < 0.001) were independently associated with liver fibrosis in patients with schistosomiasis. ROC analysis indicated that the combination of HDL, LDL and HB levels [(HDL × 100)/(LDL × HB)] had a higher area under the ROC curve (AUC = 0.773), and thus may better predict liver fibrosis than the aspartate transaminase-to-platelet ratio index (AUC = 0.608) and fibrosis index based on four factors (AUC = 0.624).ConclusionsTo the best of our knowledge, this is the first study to report that HDL, LDL, HB and PLT levels are independently associated with liver fibrosis in patients with schistosomiasis. (HDL × 100)/(LDL × HB) outperformed the aspartate transaminase-to-platelet ratio index and fibrosis index based on four factors in terms of ROC, and thus could be a new predictive index for liver fibrosis. These findings may help clinicians to more easily and effectively diagnose liver fibrosis in patients with schistosomiasis.Graphical abstract

Clinical Model for the Prediction of Severe Liver Fibrosis in Adult Patients with Type II Diabetes Mellitus.

Background and Objectives: Non-alcoholic fatty liver disease (NAFLD)-related severe liver fibrosis is associated with a higher risk of progressing to decompensated cirrhosis and hepatic failure and developing NAFLD-related hepatocellular carcinoma (HCC), particularly in populations with diabetes. Our pilot study aims to evaluate the performances of various noninvasive methods in predicting liver fibrosis in a population of patients with diabetes and to establish a new scoring system for the prediction of severe fibrosis (>F3). Materials and Methods: A total of 175 patients with diabetes were enrolled for liver fibrosis evaluation. Using the degree of agreement (concordance) between a noninvasive score based on serum biomarkers (NAFLD fibrosis score) and point shear-wave elastography (pSWE) as the reference method, we generated receiver operating characteristic (ROC) curves and performed a multivariate analysis to predict severe liver fibrosis. Results: In our population of patients with diabetes, gamma-glutamyltransferase (GGT), age, body mass index (BMI), the homeostatic model assessment of insulin resistance (HOMA-IR), and glycosylated hemoglobin (HbA1C) were significant predictors for the diagnosis of the F3/F4 group (area under the ROC: 0.767, 0.743, 0.757, 0.772, and 0.7, respectively; p < 0.005 for all). Moreover, the combined composite score (the sum of GGT, age, BMI, HOMA index, and HbA1C) had the highest diagnostic performance at a cut-off value of 3 (AUROC—0.899; p < 0001). The sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) were 91.20%, 79%, 79%, and 89%, respectively, and 89% of patients were correctly classified as having severe liver fibrosis. In contrast with the Fibrosis 4 (FIB-4) score and the AST-to-platelet ratio index (APRI), the composite score had the best accuracy in discriminating advanced fibrosis. Conclusions: The proposed composite score had a reliable and acceptable diagnostic accuracy in identifying patients with diabetes at risk of having severe fibrosis using readily available laboratory and clinical data.

Prevalence and Predictors of Liver Fibrosis in People Living with Hepatitis B in Senegal.

Hepatitis B virus (HBV) infection is the first cause of liver cirrhosis and cancer in West Africa. Although the exposure to additional environmental and infectious risk factors may lead to the faster progression of liver disease, few large-scale studies have evaluated the determinants of HBV-related liver fibrosis in the region. We used transient elastography to evaluate the prevalence of liver fibrosis and assessed the association between HBV markers and significant liver fibrosis in a cohort of people living with HBV in Dakar, Senegal. The prevalence of significant liver fibrosis was 12.5% (95% confidence interval [CI] 9.6%–15.9%) among 471 people with HBV mono-infection (pwHBV) and 6.4% (95% CI 2.6%–12.7%) in 110 people with HIV/HBV co-infection (pwHIV/HBV) on tenofovir-containing antiretroviral therapy (p = 0.07). An HBV viral load > 2000 IU/mL was found in 133 (28.3%) pwHBV and 5 (4.7%) pwHIV/HBV, and was associated with significant liver fibrosis (adjusted odds ratio (aOR) 1.95, 95% CI 1.04–3.66). Male participants (aOR 4.32, 95% CI 2.01–8.96) and those with elevated ALT (aOR 4.32, 95% CI 2.01–8.96) were especially at risk of having significant liver fibrosis. Our study shows that people with an HBV viral load above 2000 IU/mL have a two-fold increase in the risk of liver fibrosis and may have to be considered for antiviral therapy, independent of other disease parameters.

Novel index for the prediction of significant liver fibrosis and cirrhosis in chronic hepatitis B patients in China.

BACKGROUNDNoninvasive, practical, and convenient means of detection for the prediction of liver fibrosis and cirrhosis in China are greatly needed. AIMTo develop a precise noninvasive test to stage liver fibrosis and cirrhosis. METHODSWith liver biopsy as the gold standard, we established a new index, [alkaline phosphatase (U/L) + gamma-glutamyl transpeptidase (U/L)/platelet (109/L) (AGPR)], to predict liver fibrosis and cirrhosis. In addition, we compared the area under the receiver operating characteristic curve (AUROC) of AGPR, gamma-glutamyl transpeptidase to platelet ratio, aspartate transaminase to platelet ratio index, and FIB-4 and evaluated the accuracy of these routine laboratory indices in predicting liver fibrosis and cirrhosis. RESULTSCorrelation analysis revealed a significant positive correlation between AGPR and liver fibrosis stage (P < 0.001). In the training cohort, the AUROC of AGPR was 0.83 (95%CI: 0.78-0.87) for predicting fibrosis (≥ F2), 0.84 (95%CI: 0.79-0.88) for predicting extensive fibrosis (≥ F3), and 0.87 (95%CI: 0.83-0.91) for predicting cirrhosis (F4). In the validation cohort, the AUROCs of AGPR to predict ≥ F2, ≥ F3 and F4 were 0.83 (95%CI: 0.77-0.88), 0.83 (95%CI: 0.77-0.89), and 0.84 (95%CI: 0.78-0.89), respectively.CONCLUSIONThe AGPR index should become a new, simple, accurate, and noninvasive marker to predict liver fibrosis and cirrhosis in chronic hepatitis B patients.

Gamma-Glutamyl Transpeptidase-to-Platelet ratio predicts liver fibrosis in patients with concomitant chronic hepatitis B and nonalcoholic fatty liver disease.

ObjectivesThe aim of this study was to compare the correlation of gamma‐glutamyl transpeptidase‐to‐platelet ratio (GPR), aspartate aminotransferase‐to‐platelet ratio index (APRI), fibrosis index‐4 (FIB‐4), and liver stiffness measurement (LSM) in the diagnosis of liver fibrosis, and perform a diagnostic value of GPR for predicting fibrosis in CHB patients with NAFLD.MethodsA retrospective study was conducted on CHB patients concurrent with NAFLD between September 2019 and December 2020. They were divided into control group (LSM ≤ 9.7 kpa) and fibrosis group (LSM ≥ 9.8 kpa). Demographic data were collected; ALT, AST, and PLT were also detected. LSM was measured by transient elastography (TE). The GPR, APRI, and FIB‐4 were calculated. The correlation between GPR, APRI, FIB‐4, and LSM was compared. The accuracy of predicting liver fibrosis using GPR, APRI, and FIB‐4 was assessed.ResultsEighty‐five CHB patients with NAFLD were enrolled. Multivariate analysis showed that age (p = 0.005), GGT (p = 0.001), and PLT (p = 0.013) were the independent risk factors for LSM. The GPR (p = 0.008), APRI (p = 0.001), and FIB‐4 (p = 0.001) values in fibrosis group were higher than control group. Pearson linear correlation was used to analyze the correlations between LSM and GPR, APRI, and FIB‐4. LSM was correlated with GPR, APRI, and FIB‐4. The AUCs of GPR, APRI, and FIB4 were 0.805, 0.766, and 0.826 in assessing liver fibrosis, respectively. No significant differences in the areas of GPR were comparable to that of APRI and FIB‐4.ConclusionGPR has a good correlation with LSM in assessing liver fibrosis and can be used as a noninvasive index for the assessment of liver fibrosis in patients with concomitant CHB and NAFLD.

Serum Glial Cell Line-Derived Neurotrophic Factor (sGDNF) Is a Novel Biomarker in Predicting Cirrhosis in Patients with Chronic Hepatitis B.

Objectives We assessed the potential of glial cell line-derived neurotrophic factor (GDNF) as a useful biomarker to predict cirrhosis in chronic hepatitis B (CHB) patients. Methods A total of 735 patients from two medical centers (385 CHB patients and 350 healthy controls) were included to determine the association of serum and tissue GDNF levels with biopsy-proven cirrhosis. The diagnostic accuracy of serum GDNF (sGDNF) was estimated and compared with other indices of cirrhosis. Results We showed significantly higher levels of sGDNF in CHB patients with fibrosis (28.4 pg/ml vs. 11.6 pg/ml in patients without) and patients with cirrhosis (33.8 pg/ml vs. 23.5 pg/ml in patients without). The areas under receiver operating curve (AUROCs) of sGDNF were 0.83 (95% confidence interval (CI): 0.80–0.87) for predicting liver fibrosis and 0.84 (95% CI: 0.79–0.89) for cirrhosis. Findings from the serum protein level and hepatic mRNA expression were consistent. Using the best cutoff to predict cirrhosis, we categorized the patients into sGDNF-high and sGDNF-low groups. The sGDNF-high group had significantly larger Masson's trichrome and reticulin staining-positive area, higher Scheuer score, and METAVIR fibrosis stage (all p < 0.001) but not steatosis. On multivariable regression, sGDNF was independently associated with cirrhosis with an odds ratio of 6.98 (95% CI: 1.10–17.94). Finally, we demonstrated that sGDNF outperformed AST to platelet ratio index, FIB-4, fibroscore, forn index, and fibrometer in differentiating F4 vs. F3. Conclusion Using serum, tissue mRNA, and biopsy data, our study revealed a significant potential of sGDNF as a novel noninvasive biomarker for cirrhosis in CHB patients.

Serum amyloid P component and pro-platelet basic protein in extracellular vesicles or serum are novel markers of liver fibrosis in chronic hepatitis C patients.

Extracellular vesicles (EVs) contain proteins, mRNAs, and microRNAs, and their cargos have emerged as novel diagnostic markers in various diseases. We aimed to discover novel and noninvasive biomarkers of liver fibrosis by proteomic analysis using serum EVs in patients with chronic hepatitis C. We performed shotgun proteomics using serum EVs isolated from 54 patients with histologically assessed liver fibrosis. Shotgun proteomics identified a total of 974 proteins, and 445 proteins were detected in more than half of the patients. Among them, a total of 9 proteins were identified as proteins that tended to increase or decrease with liver fibrosis with a significance of p<0.005 and that were different between F1-2 patients and F3-4 patients with a significance of p<0.01. Among the 9 proteins, targeted proteomics using serum EVs isolated from the sera of another 80 patients with histologically assessed liver fibrosis verified that serum amyloid P component (SAP) and pro-platelet basic protein (PPBP) levels in EVs significantly decreased with the progression of liver fibrosis and were significantly lower in F3-4 patients than in F1-2 patients. The diagnostic accuracies of SAP and PPBP in EVs for the liver fibrosis stage were comparable to those of type IV collagen 7S, hyaluronic acid, and the fibrosis-4 index (FIB-4 index). Moreover, serum SAP and PPBP levels correlated with the levels in EVs, and the ability of serum SAP and PPBP to diagnose liver fibrosis stage was also comparable to the abilities of type IV collagen 7S, hyaluronic acid, and the FIB-4 index. In conclusion, proteomic analysis of serum EVs identified SAP and PPBP as candidate biomarkers for predicting liver fibrosis in patients with chronic hepatitis C. In addition, SAP and PPBP levels in serum are strongly correlated with those in EVs and could represent markers of liver fibrosis.

Carotid intima media as predictor of liver fibrosis in type 2 diabetes mellitus with NAFLD

Background and aimsNon Alcoholic Fatty Liver Disease (NAFLD) is common in type 2 Diabetes Mellitus (DM) that might progress to advance liver fibrosis. Early recognition of liver fibrosis may have clinical implication. Non invasive assessment tool for severity of liver fibrosis in NAFLD is expensive fibroscan. An alternate method of diagnosis will be very useful innovation. We aimed to evaluate Carotid Intima Media Thickness (CIMT) and its association with severity of liver fibrosis in patients with type 2 DM and NAFLD. MethodsTreatment naïve patients with type 2 DM were enrolled. Measurement of CIMT, hepatic ultrasound and fibroscan were done. Liver function tests included hepatic transaminases. The data obtained was subjected to statistical analysis using IBM SPSS version 20.0 software. ResultPrevalence of NAFLD was 76% including 12% with moderate to advance liver fibrosis in patients with type 2 DM. CIMT was significantly higher in patients with NAFLD than with normal liver. CIMT positively correlated with severity of liver fibrosis measured by fibroscan. ROC curve analysis showed right CIMT value of 0.575 mm predicting liver fibrosis with sensitivity of 91.7% and specificity of 78.9%. ConclusionThree fourth of patients with type 2 DM had NAFLD but small proportion had moderate to advance liver fibrosis. CIMT increased more in patients with NAFLD than with normal liver in T2DM. CIMT value of 0.575 mm has a good sensitivity to predict liver fibrosis and therefore, it can be a reliable marker of severity of Non Alcoholic Steato Hepatitis (NASH) in diabetes with NAFLD.

FRI229 - A novel non-invasive index for the prediction of liver fibrosis in chronic hepatitis B patients with concurrent nonalcoholic fatty liver disease

FRI229 - A novel non-invasive index for the prediction of liver fibrosis in chronic hepatitis B patients with concurrent nonalcoholic fatty liver disease

FRI189 - Diagnostic efficacy of Mac-2 binding protein glycosylation isomer for predicting liver fibrosis in patients with metabolic associated fatty liver disease

FRI189 - Diagnostic efficacy of Mac-2 binding protein glycosylation isomer for predicting liver fibrosis in patients with metabolic associated fatty liver disease

DNA Cell Cycle Analysis with Propidium Iodide (PI) in Liver Cancer Patients

Hepatocellular Carcinoma (HCC) ranks as the fifth most common cancer and, with over 600,000 deaths per annum, it constitutes a major global health problem. The main aetiologies of chronic liver injury are chronic hepatitis C virus (HCV) and hepatitis B virus (HBV) infections, alcohol abuse and, as a result of metabolic syndrome reaching epidemic proportions, an increasing prevalence of non-alcoholic steatohepatitis (NASH). Biomarkers are being developed as alternatives to liver biopsy for predicting liver fibrosis in patients with chronic hepatitis C. The aim of this study was to investigate DNA Cell cycle in HCC, Fibrosis patients and compare with healthy control group. They were classified into three different groups 51 individuals diagnosed Fibrosis patients, 30 Hepatocellular Carcinoma patients and 40 healthy Control individuals with no liver diseases. Tumor Markers including CEA and AFP were estimated using ELISA method, DNA cell cycle was assessed using Flow Cytometry. Results showing sub G1 was increased significantly in both HCC and Fibrosis patients with values 9.55 ± 4.72 and 17.7 ± 5.9; respectively comparing with Healthy control group 5.7 ± 3.36 (p&lt;0.005). On the other hand, G0/G1 was decreased significantly in both HCC and Fibrosis patients with values 62.2 ± 10.02 and 53.4 ± 11.1, respectively while in Healthy control. In addition, AFP and CEA were increased in both HCC and Fibrosis patients comparing with Control. Conclusion based on this study DNA cell cycle could help in assessment of Liver damage especially HCC.