Real life application of FIB-4 & APRI during mass treatment of HCV genotype 4 with directly acting anti-viral agents in Egyptian patients, an observational study

A novel nomogram based on preoperative parameters to predict posthepatectomy liver failure in patients with hepatocellular carcinoma

BACKGROUND

Posthepatectomy liver failure is one of the main causes of death in patients after hepatectomy. This study intends to establish a prediction model to predict the risk of posthepatectomy liver failure and provide a scientific basis for further reducing the incidence of posthepatectomy liver failure.

METHODS

This was a retrospective analysis of 1,172 patients with hepatocellular carcinoma undergoing partial hepatectomy. Using univariate and multivariate logistic regression analyses and stepwise regression, a prediction model for posthepatectomy liver failure was established based on the independent risk factors for posthepatectomy liver failure and validated by bootstrapping with 100 resamples, and the receiver operating characteristic curve was used to evaluate the predictive value of the prediction model.

RESULTS

The incidence rate of posthepatectomy liver failure was 22.7% (266/1172). The results showed that the indocyanine green retention rate at 15 minutes (odds ratio = 1.05, P = .002), alanine transaminase (odds ratio = 1.02, P < .001), albumin rate (odds ratio = 0.92, P < .001), total bilirubin (odds ratio = 1.04, P < .001), prothrombin time (odds ratio = 2.44, P < .001), aspartate aminotransferase-neutrophil ratio (odds ratio = 0.95, P < .001), and liver fibrosis index (odds ratio = 1.35, P < .001) were associated with posthepatectomy liver failure. These 7 independent risk factors for posthepatectomy liver failure were integrated into a nomogram prediction model, the predictive efficiency for posthepatectomy liver failure (area under the curve = 0.818, 95% confidence interval 0.789-0.848) was significantly higher than in other predictive models with a liver fibrosis index (area under the curve = 0.651), indocyanine green R15 (area under the curve = 0.669), albumin-bilirubin score (area under the curve = 0.709), albumin-indocyanine green evaluation score (area under the curve = 0.706), model for end-stage liver disease score (area under the curve = 0.636), and Child‒Pugh (area under the curve = 0.551) (all P < .001). The risk of posthepatectomy liver failure in the high-risk posthepatectomy liver failure group (score ≥152) was higher than that in the posthepatectomy liver failure low-risk group (score <152).

CONCLUSION

This study developed and validated a nomogram model to predict the risk of posthepatectomy liver failure before surgery that can effectively predict the risk of posthepatectomy liver failure in patients with hepatocellular carcinoma.

Regression in hepatic fibrosis in elderly Chinese patients with hepatitis C receiving direct-acting antiviral treatment

BACKGROUND

Patients infected with Hepatitis C virus (HCV) are recommended to receive treatment with direct-acting antiviral agents (DAAs), which have been certified to obtain a high sustained virological response (SVR). However, little is known about the benefits of successful anti-viral treatment to elderly patients with hepatic fibrosis. In this study, we aimed to assess degree of fibrosis in elderly patients with chronic hepatitis C (CHC) treated with DAAs, and to evaluate the correlations between identified factors associated with these changes.

METHODS

This study retrospectively enrolled elderly patients with CHC who received DAAs in Tianjin Second People's Hospital from April 2018 to April 2021. The degree of liver fibrosis was assessed using serum biomarkers and transient elastography (TE) expressed as the liver stiffness (LSM), while the hepatic steatosis was evaluated by controlled attenuated parameter (CAP). Changes in factors related to hepatic fibrosis were examined following treatment with DAAs, and associated prognostic factors were further evaluated.

RESULTS

We included 347 CHC patients in our analysis, where 127 of these were elderly patients. For the elderly group, the median LSM was 11.6 (7.9-19.9) kPa, and this value was significantly reduced to 9.7 (6.2-16.6) kPa following DAA treatment. Similarly, GPR, FIB-4 and APRI indices were significantly reduced from 0.445 (0.275-1.022), 3.072 (2.047-5.129) and 0.833 (0.430-1.540) to 0.231 (0.155-0.412), 2.100 (1.540-3.034) and 0.336 (0.235-0.528), respectively. While in younger patients, the median LSM reduced from 8.8 (6.1-16.8) kPa to 7.2 (5.3-12.4) kPa, and the trends of GPR, FIB-4 and APRI were also consistent. The CAP in younger patients increased with statistical significance, but we did not observe any significant change in CAP for the elderly group. Based on multivariate analysis, age, LSM, and CAP before baseline were identified as determinants for LSM improvement in the elderly.

CONCLUSION

In this study, we found that elderly CHC patients treated with DAA had significantly lower LSM, GPR, FIB-4, and APRI values. DAA treatment did not significantly change CAP. Furthermore, we observed correlations between three noninvasive serological evaluation markers and LSM. Finally, age, LSM, and CAP were identified as independent predictors of fibrosis regression in elderly patients with CHC.

Prognostic Value of Inflammatory Indicators in Chronic Hepatitis B Patients With Significant Liver Fibrosis: A Multicenter Study in China

Diagnosis of significant liver fibrosis is essential to facilitate the optimal treatment decisions and improve prognosis in patients with chronic hepatitis B (CHB). We aimed to evaluate the value of inflammatory indicators and construct a nomogram that effectively predicts significant liver fibrosis among CHB patients. 563 CHB patients from two centers in China from 2014 to 2019 were divided into three cohorts (development, internal validation, and independent validation cohorts), assigned into cases with significant fibrosis (liver fibrosis stages ≥2) and those without. Multiple biochemical and serological inflammatory indicators were investigated. Inflammatory indicators, Alanine aminotransferase (ALT) and aspartate aminotransferase (AST), were significantly associated with significant liver fibrosis in CHB patients but limited predictive performance, and then we combined them with prothrombin time activity percentage (PTA) and liver stiffness measurement (LSM) were identified by multivariate logistic regression analysis. Based on these factors, we constructed the nomogram with excellent performance. The area under the receiver operating characteristic curve (AUROC) for the nomogram in the development, internal validation, and independent validation cohorts were 0.860, 0.877, and 0.811, respectively. Our nomogram based on ALT and AST that had excellent performance in predicting significant fibrosis of CHB patients were constructed.

External Validation of Six Liver Functional Reserve Models to predict Posthepatectomy Liver Failure after Major Resection for Hepatocellular Carcinoma

Objective: To validate and compare the predictive ability of albumin-bilirubin model (ALBI) with other 5 liver functional reserve models (APRI, FIB4, MELD, PALBI, King's score) for posthepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC) who underwent major hepatectomy. Methods: Data of patients undergoing major hepatectomy for HCC from 4 hospitals between January 01, 2008 and December 31, 2019 were retrospectively analyzed. PHLF was evaluated according to the definition of the 50-50 criteria. Performances of six liver functional reserve models were determined by the area under the receiver operating characteristic curve (AUC), calibration plot and decision curve analysis. Results: A total of 745 patients with 103 (13.8%) experienced PHLF were finally included in this study. Among six liver functional reserve models, ALBI showed the highest AUC (0.64, 95% CI: 0.58-0.69) for PHLF. All models showed good calibration and greater net benefit than treating all patients at a limit range of threshold probabilities, but the ALBI demonstrated net benefit across the largest range of threshold probabilities. Subgroup analysis also showed ALBI had good predictive performance in cirrhotic (AUC=0.63) or non-cirrhotic (AUC=0.62) patients. Conclusion: Among the six models, the ALBI model shows more accurate predictive ability for PHLF in HCC patients undergoing major hepatectomy, regardless of having cirrhosis or not.

The value of platelet parameters and related scoring system in predicting esophageal varices and collateral veins in patients with liver cirrhosis

Objective

To explore the value of platelet parameters and related scoring system in predicting esophageal varices and collateral veins in patients with liver cirrhosis.

Method

A total of 94 patients with liver cirrhosis diagnosed in our hospital from March 2017 to July 2018 were divided into without esophageal varices group (NEV) and esophageal varices group (EV) into mild, moderate, and severe subgroups according to the results of general gastroscopy. The differences of biological indexes among different degrees of esophageal varices and collateral veins were analyzed, and the related factors of esophageal varices and collateral veins were analyzed.

Results

PLT count and PCT decreased gradually with the increase of esophageal varices in EV group. There were significant differences in PLT count and PCT, which were negatively correlated with the degree of collateral vein in esophageal collateral vein group. The maximum cross‐sectional diameter and mean diameter of esophageal collateral veins in EV group were wider than those in NEV group. Further study showed that the maximum cross‐sectional total diameter and mean diameter of esophageal collateral veins in severe esophageal varices group were wider than those in NEV group and mild esophageal varices group. Sequential Logistic regression analysis showed that PCT could effectively predict the existence of esophageal varices. Platelet parameters had no significant diagnostic value in predicting peri‐ECV and Para‐ECV. For platelet‐related FI, APRI, FIB‐4, King, Lok, GUCI, and FibroQ scoring systems, multivariate Logistic regression showed that FI, FIB‐4, Lok and FibroQ scoring systems could effectively predict the presence of EV and Para‐ECV (P<0.05), and its Lok Index is better than other rating systems, with AUROC values of 0.773 and 0.747, respectively. There is no significant predictive value for above scoring systems of peri‐ECV.

Conclusions

PCT and LOK index can effectively predict the existence of esophageal varices and para‐esophageal veins in patients with liver cirrhosis, and can be used as an effective filling method for common gastroscopy and endoscopic ultrasonography to detect EV and ECV in liver cirrhosis.