Clinical noninvasive markers for antiviral therapy decision in chronic hepatitis B with alanine aminotransferase less than two times upper limit of normal
Abstract:Summary
Liver biopsy is the reference method for antiviral therapy decision‐making in chronic hepatitis B (CHB) when alanine aminotransferase (ALT) is less than two times of upper limit of normal (<2ULN). Our aim was to explore noninvasive markers for antiviral therapy decision in CHB with ALT <2ULN. A total of 452 treatment‐naïve CHB patients with ALT < 2ULN who had undergone liver biopsy were analysed in this prospective multi‐centre study. If liver biopsy showed moderate or severe inflammation (histology ac… Show more
“…Logistical regression showed that AST was a more stable and capable index of indicating liver inflammation grade than ALT. Chen SS and other authors also reported similar findings (25,26).…”
Section: Discussionsupporting
confidence: 69%
“…We also constantly researched new indicators to predict liver inflammation with normal or near-normal alanine aminotransferase levels (23)(24)(25). Two types of serum indicators are used more frequently.…”
Objectives: The current study aimed to investigate the characteristics of HBV serum markers (HBsAg, HBeAg), biochemical indicators, HBV DNA, and the age to distinguish minimal from non-minimal liver histological inflammation group in HBeAg-positive chronic HBV-infected patients with ALT≤ 1ULN (40U/L). Methods: The HBeAg-positive patients with treatment-naïve hospitalized at Ditan hospital from January 2008 to January 2017 are investigated. Patients were separated into two groups of minimal and non-minimal (mild and moderate) histological inflammation group by liver biopsy specimens. Data were analyzed using the SPSS package. Results: There were both positive (age, ALT, and AST) and negative correlation factors (serum HBsAg, HBeAg, or HBV DNA quantitation) to the liver inflammation grades. Multivariate regression analysis indicated that HBeAg (P < 0.001, b = -0.554, Exp (B) = 0.575) and AST (P = 0.003, b = 0.074, Exp (B) = 1.077) were independent influential factors. The cutoff values of HBeAg and AST were separately 2.85 Log10S/CO (AUC0.724, Sensitivity64%, Specificity79%), 28U/L (AUC0.726, Sensitivity68%, Specificity 78%) to distinguish Minimal from Non-minimal liver histological inflammation in chronic HBV-infected patients with ALT ≤ 1 ULN (40U/L). Conclusions: In total, 31.34% (115/367) of patients with chronic HBV infection who had non-minimal (mild and moderate) liver histological inflammation reached the required inflammation levels for antiviral treatment in HBeAg-positive patients with persistently normal ALT. HBeAg (cutoff < 2.85 Log10S/CO) and AST (cutoff > 28 U/L) were the independent influential factors of predicting non-minimal liver inflammation with ALT ≤ 1 ULN (40U/L).
“…Logistical regression showed that AST was a more stable and capable index of indicating liver inflammation grade than ALT. Chen SS and other authors also reported similar findings (25,26).…”
Section: Discussionsupporting
confidence: 69%
“…We also constantly researched new indicators to predict liver inflammation with normal or near-normal alanine aminotransferase levels (23)(24)(25). Two types of serum indicators are used more frequently.…”
Objectives: The current study aimed to investigate the characteristics of HBV serum markers (HBsAg, HBeAg), biochemical indicators, HBV DNA, and the age to distinguish minimal from non-minimal liver histological inflammation group in HBeAg-positive chronic HBV-infected patients with ALT≤ 1ULN (40U/L). Methods: The HBeAg-positive patients with treatment-naïve hospitalized at Ditan hospital from January 2008 to January 2017 are investigated. Patients were separated into two groups of minimal and non-minimal (mild and moderate) histological inflammation group by liver biopsy specimens. Data were analyzed using the SPSS package. Results: There were both positive (age, ALT, and AST) and negative correlation factors (serum HBsAg, HBeAg, or HBV DNA quantitation) to the liver inflammation grades. Multivariate regression analysis indicated that HBeAg (P < 0.001, b = -0.554, Exp (B) = 0.575) and AST (P = 0.003, b = 0.074, Exp (B) = 1.077) were independent influential factors. The cutoff values of HBeAg and AST were separately 2.85 Log10S/CO (AUC0.724, Sensitivity64%, Specificity79%), 28U/L (AUC0.726, Sensitivity68%, Specificity 78%) to distinguish Minimal from Non-minimal liver histological inflammation in chronic HBV-infected patients with ALT ≤ 1 ULN (40U/L). Conclusions: In total, 31.34% (115/367) of patients with chronic HBV infection who had non-minimal (mild and moderate) liver histological inflammation reached the required inflammation levels for antiviral treatment in HBeAg-positive patients with persistently normal ALT. HBeAg (cutoff < 2.85 Log10S/CO) and AST (cutoff > 28 U/L) were the independent influential factors of predicting non-minimal liver inflammation with ALT ≤ 1 ULN (40U/L).
“…Studies have shown that HBV replication and subsequent immune-mediated liver damage are the main key factors for disease progression. The inevitable progression of HBV infection to persistent or intermittent liver inflammation and fibrosis greatly increases the risk of progression to cirrhosis, Hepatocellular carcinoma (HCC) and end-stage liver disease [2]. Early and timely antiviral treatment can reverse liver fibrosis and early cirrhosis, thereby reducing the incidence of HCC [3][4][5].…”
Background
At present, most assessments of liver fibrosis staging mainly focus on non-invasive diagnostic methods. This study aims to construct a noninvasive model to predict liver histology for antiviral therapy in chronic hepatitis B (CHB) with alanine aminotransferase (ALT) < 2 times upper limit of normal (ULN).
Methods
We retrospectively analyzed 577 patients with CHB who received liver biopsy and whose ALT was less than 2 ULN. Then they were randomly divided into a training group and a validation group. Through logistic regression analysis, a novel predictive model was constructed in the training group to predict significant changes in liver histology [necro-inflammatory activity grade (G) ≥ 2 or fibrosis stage (S) ≥ 2] and then validated in the validation group.
Results
If liver biopsy showed moderate or severe inflammation or significant fibrosis, antiviral treatment was recommended. Aspartate aminotransferase (AST), anti-hepatitis B virus core antibody (anti-HBC) and glutamine transpeptidase (GGT) were identified as independent predictors for antiviral therapy, with area under the ROC curve (AUROC) of 0.649, 0.647 and 0.616, respectively. Our novel model index, which combined AST, anti- HBC and GGT with AUROC of 0.700 and 0.742 in training set and validation set.
Conclusions
This study established a noninvasive model to predict liver histology for antiviral treatment decision in patients with CHB with ALT < 2 ULN, which can reduce the clinical needs of liver biopsy.
“…Studies have shown that HBV replication and subsequent immune-mediated liver damage are the main key factors for disease progression. The inevitable progression of HBV infection to persistent or intermittent liver in ammation and brosis greatly increases the risk of progression to cirrhosis, Hepatocellular carcinoma (HCC) and end-stage liver disease [2]. Early and timely antiviral treatment can reverse liver brosis and early cirrhosis, thereby reducing the incidence of HCC [3,4] [5].Therefore, the main purpose of chronic hepatitis B virus (CHB) treatment is to inhibit HBV replication, reduce the occurrence of liver decompensation and prevent the progress of disease as soon as possible [1].…”
Background and Aim: Although liver biopsy is currently the gold standard to evaluate liver histology, it has many limitations, such as sampling error, cost and risk of complications. This study aims to construct a noninvasive model to predict liver histology for antiviral therapy in chronic hepatitis B (CHB) with alanine aminotransferase (ALT)<2 times upper limit of normal(ULN).Methods: We retrospectively analyzed 577 patients with CHB who received liver biopsy and whose ALT was less than 2 ULN. Then they were randomly divided into a training group and a validation group. Through logistic regression analysis, a novel predictive model was constructed in the training group to predict significant changes in liver histology [necro-inflammatory activity grade (G) ≥2 or fibrosis stage (S) ≥2] and then validated in the validation group.Results: If liver biopsy showed moderate or severe inflammation or significant fibrosis, antiviral treatment was recommended. Aspartate aminotransferase (AST), anti-hepatitis B virus core antibody (anti-HBC) and glutamine transpeptidase (GGT) were identified as independent predictors for antiviral therapy, with area under the ROC curve (AUROC) of 0.649, 0.647 and 0.616, respectively. Our novel model index, which combined AST, anti- HBC and GGT with AUROC of 0.700 and 0.742 in estimation set and validation set.Conclusions: This study established a noninvasive model to predict liver histology for antiviral treatment decision in patients with CHB with ALT < 2 ULN, which can reduce the clinical needs of liver biopsy.
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