scholarly journals A Simple Noninvasive Model to Predict Significant Fibrosis in Children with Chronic Hepatitis B

2020 ◽  
Author(s):  
Kang-Ling Zhang ◽  
Xiu-Qi Chen ◽  
Zi-Li Lv ◽  
Li Huang ◽  
Xiang Yun ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Liver Biopsy ◽  
Receiver Operating Characteristic ◽  
Chronic Hepatitis B ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Operating Characteristics ◽  
Significant Fibrosis ◽  
Receiver Operating

Abstract Background: To develope a noninvasive model for significant fibrosis in children with chronic hepatitis B (CHB). Methods: A total 116 CHB pediatric patientswere who had undergone liver biopsy were included in the study. The gold standard of fibrosis was assessed by liver histology. blood routine examination, coagulation function, liver biochemistry, viral serology and viral load were analyzed. Receiver operating characteristic (ROC) curve analysis was used to analyze sensitivity and specificity of all possible cut-off values.Results: Based on the correlation and difference analysis, 7 available clinical parameters [Total bile acid (TBA), Gamma-glutamyl transpeptidase(GGT)，Aspartate transaminase(AST)，Direct bilirubin to total bilirubin ratio (D/T)，Alanine aminotransferase(ALT)，Prealbumin，(PA)，and Cholinesterase（CHE）were included for modeling analysis. A model to predict significant liver fibrosis (Ishak fibrosis score ≥2) was derived using the two best parameters (PA and GGT) The original model was. After mathematical calculation, the G index 600×GGT/PA2 predicts significant fibrosis with an area under the receiving operating characteristics (AUROC) curve of 0.733，95% IC (0.643-0.811). The area under the receiver operating characteristic curve (AUROC) of G index (0.733,) was higher than that of APRI (0.680) and FIB-4(0.601) to predict significant fibrosis in children with CHB. If the G index's values outside 0.28-1.16, 52% of children with CHB could avoid liver biopsy with an overall accuracy of 75%.Conclusions: The G index can predict and exclude significant fibrosis in children with HBV, which may reduce the liver biopsy need for children with CHB.

scholarly journals A Simple Noninvasive Model to Predict Significant Fibrosis in Children With Chronic Hepatitis B

2020 ◽  
Author(s):  
Kang-Ling Zhang ◽  
Xiu-Qi Chen ◽  
Zi-Li Lv ◽  
Li Huang ◽  
Xiang Yun ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Liver Biopsy ◽  
Receiver Operating Characteristic ◽  
Chronic Hepatitis B ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Operating Characteristics ◽  
Significant Fibrosis ◽  
Receiver Operating

Abstract Objectives: to develope a noninvasive model for significant fibrosis in children with chronic hepatitis B (CHB).Methods: A total 116 CHB pediatric patients who had undergone liver biopsy were included in the study. Blood routine examination, coagulation function, liver biochemistry, viral serology and viral load were analyzed. Receiver operating characteristic (ROC) curve analysis was used to analyze sensitivity and specificity of all possible cut-off values.Results: Based on the correlation and difference analysis, 7 available clinical parameters [Total bile acid (TBA), Gamma-glutamyl transpeptidase(GGT), Aspartate transaminase(AST), Direct bilirubin to total bilirubin ratio (D/T), Alanine aminotransferase(ALT), Prealbumin (PA),and Cholinesterase（CHE）] were included for modeling analysis. A model to predict significant liver fibrosis (Ishak fibrosis score ≥2) was derived using the two best parameters (PA and GGT) The original model was . After mathematical calculation, the G index 600×GGT/PA2 predicts significant fibrosis with an area under the receiving operating characteristics (AUROC) curve of 0.733，95% IC (0.643-0.811). The area under the receiver operating characteristic curve (AUROC) of G index (0.733,) was higher than that of APRI (0.680) and FIB-4(0.601) to predict significant fibrosis in children with CHB. If the G index's values outside 0.28-1.16, 52% of children with CHB could avoid liver biopsy with an overall accuracy of 75%.Conclusions: The G index can predict and exclude significant fibrosis in children with HBV, which may reduce the liver biopsy need for children with CHB.

Serum miR-21 and miR-26a Levels Negatively Correlate with Severity of Cirrhosis in Patients with Chronic Hepatitis B

MicroRNA ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. 86-92 ◽  
Author(s):  
Shili Jiang ◽  
Wei Jiang ◽  
Ying Xu ◽  
Xiaoning Wang ◽  
Yongping Mu ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Curve Analysis ◽  
Pugh Class ◽  
Operating Characteristic Curve ◽  
Class C ◽  
Circulating Levels

Background and Objective: Accurately evaluating the severity of liver cirrhosis is essential for clinical decision making and disease management. This study aimed to evaluate the value of circulating levels of microRNA (miR)-26a and miR-21 as novel noninvasive biomarkers in detecting severity of cirrhosis in patients with chronic hepatitis B. </P><P> Methods: Thirty patients with clinically diagnosed chronic hepatitis B-related cirrhosis and 30 healthy individuals were selected. The serum levels of miR-26a and miR-21 were quantified by qRT-PCR. Receiver operating characteristic curve analysis was performed to evaluate the sensitivity and specificity of the miRNAs for detecting the severity of cirrhosis. Results: Serum miR-26a and miR-21 levels were found to be significantly downregulated in patients with severe cirrhosis scored at Child-Pugh class C in comparison to healthy controls (miR-26a p<0.01, and miR-21 p<0.001, respectively). The circulating miR-26a and miR-21 levels in patients were positively correlated with serum albumin concentration but negatively correlated with serum total bilirubin concentration and prothrombin time. Receiver operating characteristic curve analysis revealed that both serum miR-26a and miR-21 levels were associated with a high diagnostic accuracy for patients with cirrhosis scored at Child-Pugh class C (miR-26a Cut-off fold change at ≤0.4, Sensitivity: 84.62%, Specificity: 89.36%, P<0.0001; miR-21 Cut-off fold change at ≤0.6, Sensitivity: 84.62%, Specificity: 78.72%, P<0.0001). Our results indicate that the circulating levels of miR-26a and miR-21 are closely related to the extent of liver decompensation, and the decreased levels are capable of discriminating patients with cirrhosis at Child-Pugh class C from the whole cirrhosis cases.

scholarly journals Transient Elastography for Significant Liver Fibrosis and Cirrhosis in Chronic Hepatitis B: A Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaolong Qi ◽  
Min An ◽  
Tongwei Wu ◽  
Deke Jiang ◽  
Mengyun Peng ◽  
...  
Keyword(s):  
Chronic Hepatitis ◽  
Liver Fibrosis ◽  
Hepatitis B ◽  
Diagnostic Accuracy ◽  
Chronic Hepatitis B ◽  
Transient Elastography ◽  
Meta Analysis ◽  
Receiver Operating Curve ◽  
Significant Fibrosis ◽  
Receiver Operating

Background. The hepatitis B virus infection is a global health issue and the stage of liver fibrosis affects the prognosis in patients with chronic hepatitis B (CHB). We performed the meta-analysis describing diagnostic accuracy of transient elastography (TE) for predicting CHB-related fibrosis. Methods. We performed an adequate literature search to identify studies that assessed the diagnostic accuracy of TE in CHB patients using biopsy as reference standard. Hierarchical summary receiver-operating curves model and the bivariate mixed-effects binary regression model were applied to generate summary receiver-operating characteristic curves and pooled estimates of sensitivity and specificity. Results. The area under the summary receiver-operating curve for significant fibrosis and cirrhosis was 0.86 (95% confidence interval (CI): 0.83–0.89) and 0.92 (95% CI: 0.90–0.94), respectively. The sensitivity, specificity, and diagnostic odds ratio of TE for significant fibrosis were 0.78 (95% CI: 0.73–0.81, p<0.01; I2=85.59%), 0.81 (95% CI: 0.77–0.84, p<0.01; I2=88.20%), and 14.44 (95% CI: 10.80–19.31, p<0.01; I2=100%) and for cirrhosis were 0.84 (95% CI: 0.80–0.88, p<0.01; I2=76.67%), 0.87 (95% CI: 0.84–0.90, p<0.01; I2=90.89%), and 36.63 (95% CI: 25.38–52.87, p<0.01; I2=100%), respectively. The optimal cut-off values of TE were 7.25 kPa for diagnosing significant fibrosis and 12.4 kPa for diagnosing cirrhosis, respectively. Conclusion. TE is of great value in the detection of patients with CHB-related cirrhosis but has a suboptimal accuracy in the detection of significant fibrosis.

A validated novel preoperative index to predict the extent of intraperitoneal contamination in patients with acute abdominal pathology: A cohort study

2019 ◽  
Vol 30 (7-8) ◽  
pp. 221-228
Author(s):  
Shahab Hajibandeh ◽  
Shahin Hajibandeh ◽  
Nicholas Hobbs ◽  
Jigar Shah ◽  
Matthew Harris ◽  
...  
Keyword(s):  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Validation Cohort ◽  
Characteristic Curve ◽  
Curve Analysis ◽  
Emergency Laparotomy ◽  
Contamination Index ◽  
Operating Characteristic Curve ◽  
Receiver Operating

Aims To investigate whether an intraperitoneal contamination index (ICI) derived from combined preoperative levels of C-reactive protein, lactate, neutrophils, lymphocytes and albumin could predict the extent of intraperitoneal contamination in patients with acute abdominal pathology. Methods Patients aged over 18 who underwent emergency laparotomy for acute abdominal pathology between January 2014 and October 2018 were randomly divided into primary and validation cohorts. The proposed intraperitoneal contamination index was calculated for each patient in each cohort. Receiver operating characteristic curve analysis was performed to determine discrimination of the index and cut-off values of preoperative intraperitoneal contamination index that could predict the extent of intraperitoneal contamination. Results Overall, 468 patients were included in this study; 234 in the primary cohort and 234 in the validation cohort. The analyses identified intraperitoneal contamination index of 24.77 and 24.32 as cut-off values for purulent contamination in the primary cohort (area under the curve (AUC): 0.73, P < 0.0001; sensitivity: 84%, specificity: 60%) and validation cohort (AUC: 0.83, P < 0.0001; sensitivity: 91%, specificity: 69%), respectively. Receiver operating characteristic curve analysis also identified intraperitoneal contamination index of 33.70 and 33.41 as cut-off values for feculent contamination in the primary cohort (AUC: 0.78, P < 0.0001; sensitivity: 87%, specificity: 64%) and validation cohort (AUC: 0.79, P < 0.0001; sensitivity: 86%, specificity: 73%), respectively. Conclusions As a predictive measure which is derived purely from biomarkers, intraperitoneal contamination index may be accurate enough to predict the extent of intraperitoneal contamination in patients with acute abdominal pathology and to facilitate decision-making together with clinical and radiological findings.

scholarly journals MicroRNAs-1299, -126-3p and -30e-3p as Potential Diagnostic Biomarkers for Prediabetes

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 949
Author(s):  
Cecil J. Weale ◽  
Don M. Matshazi ◽  
Saarah F. G. Davids ◽  
Shanel Raghubeer ◽  
Rajiv T. Erasmus ◽  
...  
Keyword(s):  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Predictive Ability ◽  
Roc Curves ◽  
Tolerance Test ◽  
Cross Sectional Study ◽  
Oral Glucose ◽  
Cross Sectional ◽  
Receiver Operating

This cross-sectional study investigated the association of miR-1299, -126-3p and -30e-3p with and their diagnostic capability for dysglycaemia in 1273 (men, n = 345) South Africans, aged >20 years. Glycaemic status was assessed by oral glucose tolerance test (OGTT). Whole blood microRNA (miRNA) expressions were assessed using TaqMan-based reverse transcription quantitative-PCR (RT-qPCR). Receiver operating characteristic (ROC) curves assessed the ability of each miRNA to discriminate dysglycaemia, while multivariable logistic regression analyses linked expression with dysglycaemia. In all, 207 (16.2%) and 94 (7.4%) participants had prediabetes and type 2 diabetes mellitus (T2DM), respectively. All three miRNAs were significantly highly expressed in individuals with prediabetes compared to normotolerant patients, p < 0.001. miR-30e-3p and miR-126-3p were also significantly more expressed in T2DM versus normotolerant patients, p < 0.001. In multivariable logistic regressions, the three miRNAs were consistently and continuously associated with prediabetes, while only miR-126-3p was associated with T2DM. The ROC analysis indicated all three miRNAs had a significant overall predictive ability to diagnose prediabetes, diabetes and the combination of both (dysglycaemia), with the area under the receiver operating characteristic curve (AUC) being significantly higher for miR-126-3p in prediabetes. For prediabetes diagnosis, miR-126-3p (AUC = 0.760) outperformed HbA1c (AUC = 0.695), p = 0.042. These results suggest that miR-1299, -126-3p and -30e-3p are associated with prediabetes, and measuring miR-126-3p could potentially contribute to diabetes risk screening strategies.

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