scholarly journals Determination of the predictive factors for significant liver fibrosis assessed through transient elastography

2019 ◽  
Vol 6 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Wei‐Yu Kao ◽  
Chien‐Wei Su ◽  
Sheng‐Uei Fang ◽  
Jui‐Hsiang Tang ◽  
Chun‐Chao Chang ◽  
...  
2021 ◽  
Author(s):  
Marta Freitas ◽  
Vítor Macedo Silva ◽  
Sofia Xavier ◽  
Joana Magalhes ◽  
Carla Marinho ◽  
...  

Introduction: Increasing evidence suggests an association between metabolic associated fatty liver disease (MAFLD) and chronic kidney disease (CKD). Timely prediction of early kidney dysfunction (EKD) is thus essential in this population, although a screening method is not stablished. We aimed to evaluate the role of transient elastography (TE) in predicting EKD in patients with MAFLD. Methods: Prospective cohort study that included patients with MAFLD scheduled for evaluation, between May/2019 and January/2020. Demographic, clinical and laboratory data, and TE parameters were obtained. EKD was defined as microalbuminuria (urinary albumin-to-creatinine ratio 30-300mg/g) and estimated glomerular filtration rate≥60mL/min/1.73m2. Significant liver fibrosis was defined as liver stiffness measurement (LSM)≥8.2kPa. Results: Included 45 patients with MALFD, 53.3% female gender, mean age of 53.5±10.9years. EKD was found in 17.8% of patients. MAFLD patients with EKD were significantly more obese (body mass index≥30) (75.0% vs 32.4%,p=0.045) and had significantly higher LSM (8.5±4.1 vs 5.8±2.2kPa,p=0.01). After adjustment of potential confounders for EKD the presence of liver fibrosis, remained a significant predictor of EKD, being associated with a 14.3-fold increased risk of EKD (p=0.04). The optimal cutoff value of LSM to predict EKD was 6.1kPa (sensitivity:85.7%; specificity:67.6%). Conclusion: Significant liver fibrosis is associated with a significant increased risk of EKD in patients with MAFLD, regardless of other comorbidities. Higher levels of LSM, particularly >6.1kPa, alert for timely identification of EKD and associated comorbidities, as well as their control, in order to prevent the development of CKD in the long term.


2017 ◽  
Vol 19 (1) ◽  
pp. 7 ◽  
Author(s):  
Tamara Alempijevic ◽  
Simon Zec ◽  
Vladimir Nikolic ◽  
Aleksandar Veljkovic ◽  
Zoran Stojanovic ◽  
...  

Aims: Accurate clinical assessment of liver fibrosis is essential and the aim of our study was to compare and combine hemodynamic Doppler ultrasonography, liver stiffness by transient elastography, and non-invasive serum biomarkers with the degree of fibrosis confirmed by liver biopsy, and thereby to determine the value of combining non-invasive method in the prediction significant liver fibrosis. Material and methods: We included 102 patients with chronic liver disease of various etiology. Each patient was evaluated using Doppler ultrasonography measurements of the velocity and flow pattern at portal trunk, hepatic and splenic artery, serum fibrosis biomarkers, and transient elastography. These parameters were then input into a multilayer perceptron artificial neural network with two hidden layers, and used to create models for predicting significant fibrosis. Results: According to METAVIR score, clinically significant fibrosis (≥F2) was detected in 57.8% of patients. A model based only on Doppler parameters (hepatic artery diameter, hepatic artery systolic and diastolic velocity, splenic artery systolic velocity and splenic artery Resistance Index), predicted significant liver fibrosis with a sensitivity and specificity of75.0% and 60.0%. The addition of unrelated non-invasive tests improved the diagnostic accuracy of Doppler examination. The best model for prediction of significant fibrosis was obtained by combining Doppler parameters, non-invasive markers (APRI, ASPRI, and FIB-4) and transient elastography, with a sensitivity and specificity of 88.9% and 100%. Conclusion: Doppler parameters alone predict the presence of ≥F2 fibrosis with fair accuracy. Better prediction rates are achieved by combining Doppler variables with non-invasive markers and liver stiffness by transient elastography.


2022 ◽  
Author(s):  
Padmapani Padeniya ◽  
Dileepa S Ediriweera ◽  
Arjuna De Silva ◽  
Madunil Niriella ◽  
Anuja Premawardhena

Abstract Objective To evaluated the performance of FIB-4 score as a screening tool to detect significant liver fibrosis (F2) compared to transient elastography (TE) among chronic transfusion-dependent beta-thalassemia (TDT) patients, in a resource-poor setting. Design A cross-sectional study Setting Adolescent and Adult Thalassaemia Care Center (University Medical Unit) Kiribathgoda Sri Lanka. Participants 45 TDT patients who have undergone more than 100 blood transfusions with elevated serum ferritin more than 2000ng/mL were selected for the study. Patients who were serologically positive for hepatitis C antibody were excluded. Outcome measures TE and FIB-4 score were estimated at the time of recruitment in all participants. Pre-defined cut-off values for F2 extracted from previous studies for TE and FIB-4 score were compared. A new cut-off value for FIB-4 score was estimated using ROC curve analysis to improve the sensitivity for F2 prediction. Results Of the selected 45 TDT patients 22(49%) were males. FIB-4 score showed a significant linear correlation with TE (r= 0.52 p< 0.0003). The FIB-4 score was improbable to lead to a false classification of TDT patients to have F2 when the FIB-4 cut-off value was 1.3. On the other hand it had a very low diagnostic yield in missing almost all (except one) of those who had F2. Using a much-lowered cut-off point of 0.32 for FIB-4 we improved the pick-up rate of F2 to 72%. Conclusions Regardless of the cut-off point FIB-4 score cannot be used as a good screening tool to pick-up F2 in patients with TDT irrespective of their splenectomy status. On the contrary at 1.3 cut off value though FIB-4 is a very poor detector for F2 fibrosis it will not erroneously diagnose F2 fibrosis in those who do not have it.


Sign in / Sign up

Export Citation Format

Share Document