The diagnostic accuracy of the Forns index, platelet count and AST to Platelet Ratio Index derived fibrosis index for the prediction of Hepatitis C virus-related significant liver fibrosis and cirrhosis

Diagnosis of liver diseases based on artificial intelligence

Due to a series of problems in the diagnosis of liver disease, the mortality rate of liver disease patients is very high. Therefore, it is necessary for doctors and researchers to find a more effective non-invasive diagnostic method to meet clinical needs. We analyzed data from 416 patients with liver disease and 167 patients without liver disease from northeastern Andhra Pradesh, India. On the basis of considering age, gender and other basic data of patients, this paper uses total bilirubin and other clinical data as parameters to build a diagnostic model. In this paper, the accuracy of artificial intelligence method Random Forest (RF) and Support Vector Machine (SVM) model in the diagnosis of liver patients was compared. The results show that the support vector machine model based on Gaussian kernel function is more excellent in diagnostic accuracy, that is, SVM method is more suitable for the diagnosis of liver diseases.

INR-to-platelet ratio (INPR) as a novel noninvasive index for predicting liver fibrosis in chronic hepatitis B

Objective: We aimed to investigate whether a novel noninvasive index, i.e., the international normalized ratio-to-platelet ratio (INPR), was a variable in determining liver fibrosis stage in patients with chronic hepatitis B (CHB). Methods: A total of 543 treatment-naïve CHB patients were retrospectively enrolled. Liver histology was assessed according to the Metavir scoring scheme. All common demographic and clinical parameters were analyzed. Results: Based on routine clinical parameters (age, sex, HBeAg status, HBV DNA, hematological parameters, coagulation index, and liver biochemical indicators), a novel index, i.e., the INR-to-platelet ratio (INPR), was developed to magnify the unfavorable effects of liver fibrosis on INR and platelets. The AUCs of INPR for predicting significant fibrosis, advanced fibrosis, and cirrhosis were 0.74, 0.76 and 0.86, respectively. Compared with APRI, FIB-4, and GPR, the INPR had comparable predictive efficacy for significant fibrosis and better predictive performance for advanced fibrosis and cirrhosis. Conclusion: INPR could be an accurate, easily calculated and inexpensive index to assess liver fibrosis in patients with CHB. Further studies are needed to verify this indicator and compare it with other noninvasive methods for predicting liver fibrosis in CHB patients.

Serum Scoring and Quantitative Magnetic Resonance Imaging in Intestinal Failure-Associated Liver Disease: A Feasibility Study

(1) Background: Intestinal failure-associated liver disease (IFALD) in adults is characterized by steatosis with variable progression to fibrosis/cirrhosis. Reference standard liver biopsy is not feasible for all patients, but non-invasive serological and quantitative MRI markers for diagnosis/monitoring have not been previously validated. Here, we examine the potential of serum scores and feasibility of quantitative MRI used in non-IFALD liver diseases for the diagnosis of IFALD steatosis; (2) Methods: Clinical and biochemical parameters were used to calculate serum scores in patients on home parenteral nutrition (HPN) with/without IFALD steatosis. A sub-group underwent multiparameter quantitative MRI measurements of liver fat fraction, iron content, tissue T1, liver blood flow and small bowel motility; (3) Results: Compared to non-IFALD (n = 12), patients with IFALD steatosis (n = 8) demonstrated serum score elevations in Enhanced Liver Fibrosis (p = 0.032), Aspartate transaminase-to-Platelet Ratio Index (p < 0.001), Fibrosis-4 Index (p = 0.010), Forns Index (p = 0.001), Gamma-glutamyl transferase-to-Platelet Ratio Index (p = 0.002) and Fibrosis Index (p = 0.001). Quantitative MRI scanning was feasible in all 10 sub-group patients. Median liver fat fraction was higher in IFALD steatosis patients (10.9% vs 2.1%, p = 0.032); other parameter differences were non-significant; (4) Conclusion: Serum scores used for non-IFALD liver diseases may be useful in IFALD steatosis. Multiparameter MRI is feasible in patients on HPN.

Noninvasive inflammatory markers for assessing liver fibrosis stage in autoimmune hepatitis patients

OBJECTIVE

To examine the accuracy of noninvasive inflammatory markers in predicting liver fibrosis stage in patients with autoimmune hepatitis (AIH).

PATIENTS AND METHODS

We enrolled 55 patients with AIH and 60 healthy controls in this study, and divided them into three groups: F0 (control); F1-F3 (noncirrhotic fibrosis); and F4 (cirrhosis). The following markers were analyzed for all participants: lymphocyte-to-neutrophil ratio (LNR); lymphocyte-to-platelet ratio (LPR); lymphocyte-to-monocyte ratio (LMR); immunoglobulin-to-platelet ratio (IGPR); aminotransferase-to-platelet ratio index (APRI); aspartate aminotransferase-to-alanine aminotransferase ratio (AAR); and fibrosis-4 score (FIB-4). The predictive accuracy of these noninvasive markers was assessed using area under the receiver operating characteristic curve. Multivariate ordinal logistic regression models were used to analyze associations between the noninvasive markers and liver fibrosis stage.

RESULTS

AAR, LPR, LMR, IGPR, APRI, and FIB-4 were linked to liver fibrosis-stage (P < 0.05), with correlation indices of - 0.219, 0.258, - 0.149, 0.647, 0.841, and 0.704, respectively, but not LNR (P = 0.093). area under the receiver operating characteristic curves of LPR, IGPR, AAR, LMR, APRI, and FIB-4 for detecting cirrhosis (F4 vs. F0-F3) were 0.936 (95% confidence interval: 0.870-1.000, P < 0.001), 0.939 (0.875-1.000, P < 0.001), 0.528 (0.319-0.738, P = 0.768), 0.555 (0.409-0.700, P = 0.568), 0.798 (0.694-0.902, P = 0.002), and 0.881 (0.796-0.967, P < 0.001). Our multivariate ordinal regression analysis showed that LPR and IGPR were associated independently with liver fibrosis stage, with a coefficient of 0.385 (95% confidence interval: 0.103-0.667, P = 0.007) and 14.903 (2.091-27.786, P = 0.023), respectively.

CONCLUSION

LPR and IGPR were associated independently with liver fibrosis stage in treatment-naive AIH, and were superior to APRI and FIB-4 in detecting cirrhosis.

Association between red cell distribution width-to-platelet ratio and hepatic fibrosis in nonalcoholic fatty liver disease: A cross-sectional study

BACKGROUND

We aimed to assess the association between red cell distribution width-to-platelet ratio (RPR) and hepatic fibrosis in nonalcoholic fatty liver disease.

METHODS

The 388 subjects fulfilling the diagnostic criteria of Nonalcoholic fatty liver disease (NAFLD) were enrolled in this cross-sectional study. Red cell distribution, platelet, and other clinical and laboratory parameters were measured.

RESULTS

NAFLD patients with advanced fibrosis had significantly higher RPR than those without fibrosis (P < .001). Spearman correlation analysis showed that RPR were significantly correlated with age, sex, creatinine, hemoglobin, white blood cell, and advanced fibrosis (all with P < .05). Multivariate logistic regression analysis showed that RPR was an independent factor predicting advanced fibrosis (fibrosis-4 calculator ≥1.3) in NAFLD patients (OR: 5.718, 95%CI: 3.326-9.830, P < .001).

CONCLUSIONS

Our findings suggested that RPR were significantly associated with advanced fibrosis in nonalcoholic fatty liver disease patients.

microRNA-1273g-3p is a useful non-invasive test for the prediction of liver fibrosis in patients with chronic hepatitis C

Previous studies using microRNA (miRNA or miR) microarrays have demonstrated that miR-1273g-3p is upregulated in patients with hepatitis C virus (HCV)-associated fibrosis. As miRNAs have been suggested to be promising non-invasive biomarkers, the aim of the present study was to assess whether miR-1273g-3p may be useful as a potential indicator of fibrosis progression in patients with HCV. Liver biopsies were performed on 112 patients with chronic hepatitis C (CHC) and liver stiffness measurements (LSM) were performed using FibroTouch. Liver fibrosis was determined based on Meta-analysis of Histological Data in Viral Hepatitis classification, and the aspartate aminotransferase (AST)-to-platelet count (PLT) ratio index (APRI) and Fibrosis-4 score (FIB-4) were calculated. The diagnostic performance of miR-1273g-3p, LSM, APRI and FIB-4 in predicting fibrosis stage were evaluated and compared by receiver operating characteristic (ROC) analysis. It was demonstrated that miR-1273g-3p levels were significantly positively correlated with the liver fibrosis stage (r=0.657, P<0.001). The results of LSM, APRI and FIB-4, the three non-invasive diagnostic methods, had good consistency with liver biopsy results, and their correlation coefficients with fibrosis staging were 0.815, 0.417 and 0.522, respectively. The areas under the ROC curves of miR-1273g-3p for F≥2 and F=4 stage samples were 0.841 and 0.933, respectively, which were lower than LSM (0.890 and 0.937), and higher than FIB-4 (0.791 and 0.766) and APRI (0.719 and 0.760). Spearman analysis demonstrated that serum miR-1273g-3p levels were significantly positively correlated with age, body mass index, alanine aminotransferase, AST and total bilirubin (all P<0.05), and negatively correlated with PLT (P<0.05). However, no significant correlation was observed between miR-1273g-3p levels, baseline HCV RNA loads and genotype. Therefore, the results demonstrated that miR-1273g-3p levels, as a novel non-invasive test, may be a useful and easy method for predicting the stage of liver fibrosis in patients with CHC, and has a better diagnostic performance than FIB-4 and APRI. Further prospective studies are required to validate the efficacy of miR-1273g-3p as a predictor of liver fibrosis.

Management of hepatitis C virus infection in the Asia-Pacific region: an update

The Asia-Pacific region has disparate hepatitis C virus (HCV) epidemiology, with prevalence ranging from 0·1% to 4·7%, and a unique genotype distribution. Genotype 1b dominates in east Asia, whereas in south Asia and southeast Asia genotype 3 dominates, and in Indochina (Vietnam, Cambodia, and Laos), genotype 6 is most common. Often, availability of all-oral direct-acting antivirals (DAAs) is delayed because of differing regulatory requirements. Ideally, for genotype 1 infections, sofosbuvir plus ledipasvir, sofosbuvir plus daclatasvir, or ombitasvir, paritaprevir, and ritonavir plus dasabuvir are suitable. Asunaprevir plus daclatasvir is appropriate for compensated genotype 1b HCV if baseline NS5A mutations are absent. For genotype 3 infections, sofosbuvir plus daclatasvir for 24 weeks or sofosbuvir, daclatasvir, and ribavirin for 12 weeks are the optimal oral therapies, particularly for patients with cirrhosis and those who are treatment experienced, whereas sofosbuvir, pegylated interferon, and ribavirin for 12 weeks is an alternative regimen. For genotype 6, sofosbuvir plus pegylated interferon and ribavirin, sofosbuvir plus ledipasvir, or sofosbuvir plus ribavirin for 12 weeks are all suitable. Pegylated interferon plus ribavirin has been replaced by sofosbuvir plus pegylated interferon and ribavirin, and all-oral therapies where available, but cost and affordability remain a major issue because of the absence of universal health coverage. Few patients have been treated because of multiple barriers to accessing care. HCV in the Asia-Pacific region is challenging because of the disparate epidemiology, poor access to all-oral therapy because of availability, cost, or regulatory licensing. Until these problems are addressed, the burden of disease is likely to remain high.

King's score as a novel prognostic model for patients with hepatitis B-associated hepatocellular carcinoma

BACKGROUND AND OBJECTIVES

King's score (KS) has been developed to predict the presence of cirrhosis and hepatocellular carcinoma (HCC) in patients with chronic liver diseases. We aimed to investigate the prognostic significance of the KS in hepatitis B-associated HCC.

PATIENTS AND METHODS

We retrospectively analyzed 319 hepatitis B-associated HCC patients. Preoperative data were collected to calculate the KS (age × aspartate aminotransferase × international normalized ratio/platelet count). The primary outcomes were overall survival (OS) and disease-free survival (DFS), which was estimated using the Kaplan-Meier method. Then, we carried out a multivariate Cox analysis to assess the independent significance of the KS. Additional analyses were carried out after patients were stratified on the basis of cirrhosis status and therapy methods to investigate the significance of KS in different subgroups.

RESULTS

During a median follow-up period of 44 months, 199 (62.4%) patients died and 144 (45.1%) experienced recurrence. The cut-off value for the KS was determined to be 33.31 with 56.8% sensitivity and 66.7% specificity. Compared with patients with low KS, the high group showed a higher probability of cirrhosis and worse Child-Pugh class (both P<0.05). Multivariate analysis identified older age, tumor size 5 or more, palliative therapy, high Barcelona Clinic Liver Cancer stage, and high KS as significant factors for predicting poor OS and DFS. A combination of the KS and tumor size showed better discrimination ability for survival than Barcelona Clinic Liver Cancer stage.

CONCLUSION

The KS is an effective index for predicting OS and DFS in hepatitis B-associated HCC. Larger cohorts are needed to validate our finding.

Significance of platelet count and platelet-based models for hepatocellular carcinoma recurrence

AIM: To explore the effects of platelet count (PLT) and 11 platelet-based indices on postoperative recurrence of hepatocellular carcinoma (HCC).

METHODS: We retrospectively analyzed 172 HCC patients who were treated by partial hepatectomy. Preoperative data, including laboratory biochemical results, were used to calculate the 11 indices included in the analysis. We performed receiver operating characteristic curve analysis to determine the optimal cut-off values for predicting recurrence. Cumulative rates of HCC recurrence were calculated using Kaplan-Meier survival curves and differences were analyzed by log-rank tests. Multivariate analyses were performed to identify independent predictors of recurrence, early recurrence (within one year after surgery), and late recurrence in HCC. To obtain better prognostic models, PLT-based indices were analyzed separately after being expressed as binary and continuous variables. Two platelet-unrelated, validated HCC prognostic models were included in the analyses as reference indices. Additional analyses were performed after patients were stratified based on hepatitis B virus infection status, cirrhosis, and tumor size to investigate the significance of platelets in different subgroups.

RESULTS: In the study cohort, 44.2% (76/172) of patients experienced HCC recurrence, and 50.6% (87/172) died during a median follow-up time of 46 mo. PLT and five of the 11 platelet-related models were significant predisposing factors for recurrence (P < 0.05). Multivariate analysis indicated that, among the clinical parameters, presence of ascites, PLT ≥ 148 × 10⁹/L, alkaline phosphatase ≥ 116 U/L, and tumor size ≥ 5 cm were independently associated with a higher risk of HCC recurrence (P < 0.05). Independent and significant models included the aspartate aminotransferase/PLT index, fibrosis index based on the four factors, fibro-quotient, aspartate aminotransferase/PLT/γ-glutamyl transpeptidase/alpha-fetoprotein index, and the PLT/age/alkaline phosphatase/alpha-fetoprotein/aspartate aminotransferase index. There were different risk factors between early and late recurrences, and PLT and these indices were more inclined to influence late recurrence. PLT was only predictive of recurrence in non-cirrhotic HCC patients, and was not influenced by tumor size, which was a critical confounder in our study.

CONCLUSION: PLT and PLT-based noninvasive models are effective tools for predicting postoperative recurrence, especially late recurrence. Larger cohorts are needed to validate our findings.

Value of Forns index for noninvasive diagnosis of liver fibrosis in chronic hepatitis B patients

AIM: To assess the value of Forns index for noninvasive diagnosis of liver fibrosis in patients with chronic hepatitis B (CHB).

METHODS: The severity of liver fibrosis in 361 CHB patients was assessed by liver biopsy, and routine laboratory indicators were examined to calculate the Forns index. The diagnostic value of Forns index in significant fibrosis, advanced fibrosis and cirrhosis was assessed using the area under the receive operating characteristic curve analysis.

RESULTS: With the increase in the severity of liver fibrosis, the mean age and mean levels of γ-glutamyl transpeptidase (GGT), globulin (GLB), aspartate transaminase (AST) and Forns index gradually increased in patients with chronic HBV infection, and the mean levels of albumin (ALB), HBV DNA, cholesterol and platelet (PLT) gradually decreased, which had significant differences between the S1-S4 groups (P < 0.05). The Spearman rank correlation analysis showed that there was a significantly positive correlation between Forns index and liver fibrosis stage (r = 0.451, P < 0.001). The cutoff value of Forns index was 4.873 for significant liver fibrosis, with a sensitivity of 68.7% and a specificity of 70.3%. The cutoff value of Forns index was 5.432 for advanced liver fibrosis, with a sensitivity of 70.2% and a specificity of 71.8%. The cutoff value of Forns index was 6.289 for cirrhosis, with a sensitivity of 76.7% and a specificity of 81.1%.

CONCLUSION: Forns index is a simple and effective noninvasive model to predict the severity of liver fibrosis.

The prognostic values of 12 cirrhosis-relative noninvasive models in patients with hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinogenesis is associated with the progression of cirrhosis, and the latter further aggravates tumor development and prognosis. The aim of the study was to investigate the prognostic values of 12 cirrhosis-relative noninvasive models in hepatocellular carcinoma (HCC).

METHODS

We retrospectively analyzed 363 HCC patients who either underwent partial hepatectomy (PH) or received transcatheter arterial chemoembolization (TCAE). Preoperative data were collected to calculate these indices using the original formulas. Diagnostic accuracy of these models in detection of cirrhosis was evaluated by area under receiver operating characteristic curve (AUC) analysis. Multivariate analyses were performed to assess the independent prognostic significance of the 12 indicators.

RESULTS

Aspartate aminotransferase-platelet ratio index (APRI) and Goteborg University Cirrhosis Index (GUCI) were found to be significant in discriminating cirrhotic patients from non-cirrhotic individuals. When the indices were expressed as continuous variables, multivariate analyses indicated that APRI and GUCI were independent indices to predict overall survival in patients underwent PH, with a hazard ratio (HR) value 1.04 (p = 0.005) and 1.07 (p = 0.001), respectively. In the cohort of TACE, APRI and GUCI were independently associated with survival as well.

CONCLUSION

Of the 12 indices, APRI and GUCI were relatively accurate predictors of cirrhosis status as well as outcome of HCC. As only a limited study population was enrolled in the current study, larger cohorts are needed to validate our results.