scholarly journals S1149 Complication Rates of Liver Biopsies in Patients with Non-Alcoholic Fatty Liver Disease

2021 ◽  
Vol 116 (1) ◽  
pp. S538-S539
Author(s):  
Felix Zhou ◽  
Ashley Stueck ◽  
Magnus McLeod
2020 ◽  
Vol 10 (3) ◽  
pp. 245-254 ◽  
Author(s):  
Yala K. Reddy ◽  
Hemnishil K. Marella ◽  
Yu Jiang ◽  
Surosree Ganguli ◽  
Peter Snell ◽  
...  

Gut ◽  
2019 ◽  
Vol 69 (6) ◽  
pp. 1116-1126 ◽  
Author(s):  
Yan Wang ◽  
Grace Lai-Hung Wong ◽  
Fang-Ping He ◽  
Jian Sun ◽  
Anthony Wing-Hung Chan ◽  
...  

ObjectiveFibrosis stage is strongly associated with liver-related outcomes and is a key surrogate endpoint in drug trials for non-alcoholic steatohepatitis. Dual-photon microscopy allows automated quantification of fibrosis-related parameters (q-FPs) and may facilitate large-scale histological studies. We aim to validate the performance of q-FPs in a large histological cohort.Design344 patients with non-alcoholic fatty liver disease (NAFLD) underwent 428 liver biopsies (240 had paired transient elastography examination). Fibrosis stage was scored using the NASH Clinical Research Network system, and q-FPs were measured by dual-photon microscopy using unstained slides. Patients were randomly assigned to the training and validation cohorts to test the performance of individual q-FPs and derive optimal cut-offs.ResultsOver 25 q-FPs had area under the receiver-operating characteristics curves >0.90 for different fibrosis stages. Among them, the perimeter of collagen fibres and number of long collagen fibres had the highest accuracy. At the best cut-offs, the two q-FPs had 88.3%–96.2% sensitivity and 78.1%–91.1% specificity for different fibrosis stages in the validation cohort. q-FPs and histological scoring had nearly identical correlations with liver stiffness measurement, suggesting that the accuracy of q-FPs approached that of histological assessment. Among patients with paired liver biopsies, changes in the same q-FPs were associated with changes in fibrosis stage. At a median follow-up of 5.6 years, baseline q-FPs predicted liver-related events.Conclusionq-FP is highly accurate in the assessment of fibrosis in NAFLD patients. This automated platform can be used in future studies as objective and reliable evaluation of histological fibrosis.


Gut ◽  
2021 ◽  
pp. gutjnl-2021-324243
Author(s):  
Ferenc Emil Mózes ◽  
Jenny A Lee ◽  
Emmanuel Anandraj Selvaraj ◽  
Arjun Narayan Ajmer Jayaswal ◽  
Michael Trauner ◽  
...  

ObjectiveLiver biopsy is still needed for fibrosis staging in many patients with non-alcoholic fatty liver disease. The aims of this study were to evaluate the individual diagnostic performance of liver stiffness measurement by vibration controlled transient elastography (LSM-VCTE), Fibrosis-4 Index (FIB-4) and NAFLD (non-alcoholic fatty liver disease) Fibrosis Score (NFS) and to derive diagnostic strategies that could reduce the need for liver biopsies.DesignIndividual patient data meta-analysis of studies evaluating LSM-VCTE against liver histology was conducted. FIB-4 and NFS were computed where possible. Sensitivity, specificity and area under the receiver operating curve (AUROC) were calculated. Biomarkers were assessed individually and in sequential combinations.ResultsData were included from 37 primary studies (n=5735; 45% women; median age: 54 years; median body mass index: 30 kg/m2; 33% had type 2 diabetes; 30% had advanced fibrosis). AUROCs of individual LSM-VCTE, FIB-4 and NFS for advanced fibrosis were 0.85, 0.76 and 0.73. Sequential combination of FIB-4 cut-offs (<1.3; ≥2.67) followed by LSM-VCTE cut-offs (<8.0; ≥10.0 kPa) to rule-in or rule-out advanced fibrosis had sensitivity and specificity (95% CI) of 66% (63–68) and 86% (84–87) with 33% needing a biopsy to establish a final diagnosis. FIB-4 cut-offs (<1.3; ≥3.48) followed by LSM cut-offs (<8.0; ≥20.0 kPa) to rule out advanced fibrosis or rule in cirrhosis had a sensitivity of 38% (37–39) and specificity of 90% (89–91) with 19% needing biopsy.ConclusionSequential combinations of markers with a lower cut-off to rule-out advanced fibrosis and a higher cut-off to rule-in cirrhosis can reduce the need for liver biopsies.


2005 ◽  
Vol 15 (4) ◽  
pp. 497-501 ◽  
Author(s):  
Dorota J. Janiec ◽  
Erica R. Jacobson ◽  
Amy Freeth ◽  
Laurie Spaulding ◽  
Hagen Blaszyk

2014 ◽  
Vol 95 (1) ◽  
pp. 35-41 ◽  
Author(s):  
L I Tkachenko ◽  
V V Maleev

Aim. To estimate the prevalence of non-acloholic fatty liver disease in patients with chronic hepatitis B, and the association of non-acloholic fatty liver disease with the biochemical, virological and metabolic faсtors. Methods. 53 patients with chronic hepatitis B observed in the regional hospital of infective diseases, Stavropol, at 2008-2012, were included. Patients were distributed to 2 groups according to the results of liver biopsies: group I - patients with hepatosteatosis (5%) and group II - no signs of steatosis (≤5%). Anthropometric, histological, biochemical, virological, and metabolic determinants were compared. Results. Of 53 patients, 18 (34%) liver biopsies had signs of steatosis. Patients with steatosis (group I), compared with group II, were older (43±13 vs 34.5±10.9 years, р=0.015), had higher body mass index (30±5.3 vs 22.9±4.3 kg/m 2, р=0.015), higher level of triglycerides (1.6±0.8 vs 1.06±0.7 mmol/l, р=0.014), higher level of cholesterol (5.6±0.7 vs 4.97±0.9 mmol/l, р=0.012), and higher serum insulin (13±7.9 vs 8.2±3 mkME/l, р=0.002) and leptin levels (16.2±15.6 vs 6.5±5.2 ng/ml, р=0.001). The values of HOMA (Homeostasis Model Assessment) and QUICKI (quantitative insulin sensitivity check index) indices corresponded to insulin resistance (НОМА 2.9±1.8 and 1.9±0.8, р=0.007; QUICKI 0.33±0.02 and 0.35±0.03, р=0.014). There were no differences in histological activity scores by Knodell and fibrosis scores by METAVIR scale between the groups. No reliable differences in virological parameters (viral load and HBeAg status) were obtained. Conclusion. Non-alcoholic fatty liver disease is observed in one-third of patients with hepatitis B and is associated with host metabolic factors, which correspond to the parameters of metabolic syndrome.


2019 ◽  
Vol 50 (10) ◽  
pp. 1100-1111 ◽  
Author(s):  
Rish K. Pai ◽  
David E. Kleiner ◽  
John Hart ◽  
Oyedele A. Adeyi ◽  
Andrew D. Clouston ◽  
...  

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