Appraising diagnostic performance of ELF test by pathological staging and digital quantification of liver fibrosis

Introduction and objectives: A crucial issue when appraising the performance of non-invasive markers is the limitations of the reference standard they are compared to. Digital image analysis (DIA) was suggested as a reproducible approach expressing fibrosis numerically as a proportionate area (PA) (%). We aimed to evaluate ELF test with direct reference to PA (%), thereby explore the improvement in accuracy to discriminate significant fibrosis which may actually have been underestimated by categorical pathological staging. Materials and methods: PA (%) data were obtained by DIA of trichrome-stained liver biopsies of 52 chronic hepatitis patients. Paired serum samples of patients and additional 36 controls were performed to measure ELF test. Diagnostic performance characteristics of ELF test was derived in predicting significant fibrosis in the patient cohort, and also, in distinguishing healthy controls from patients with significant fibrosis. Results: We found an AUROC value of 0.73 for ELF to predict significant fibrosis as assessed by DIA and a lower AUROC value of 0.66 when assessed by conventional pathology. Importantly, ELF test provided considerably high diagnostic accuracy to discriminate healthy controls from patients with significant fibrosis defined by Ishak F >= 2 and TPA >= 5% (AUROCs 0.93 and 0.94, respectively) with optimal ELF cut-off point of 8.4 for both. Conclusions: Digital quantification could represent a better reference standard than conventional pathology allowing a better discriminatory capability for ELF test. ELF test provided high diagnostic accuracy to discriminate healthy controls from patients with significant fibrosis suggesting a role as a screening strategy in the community setting. (C) 2019 Fundacion Clinica Medica Sur, A.C. Published by Elsevier Espana, S.L.U

Digital image analysis in liver fibrosis: basic requirements and clinical implementation

Accurate assessment of liver fibrosis is a critical aspect of diagnosis, prognosis prediction, surveillance strategies, therapeutic planning and monitoring, and also for validation of non-invasive surrogates of fibrosis. Traditional histopathological stagings depend on subjective visual interpretation process of architectural changes of fibrosis without providing quantification as continuous numerical data, but rather in the form of discrete staging. This makes high level reproducibility practically impossible in its application, which should be minimized in scientific research. In the light of increasing demand for an objective method, digital image analysis (DIA) technology has been increasingly implemented for liver fibrosis assessment. Potential advantages and applications of reproducible quantitative fibrosis ratio measurements with DIA include performing broader scale of statistical analysis and comparison between studies, monitoring minor but potentially important quantity changes during fibrosis regression or progression (especially in the context of therapeutic trials), and to be a better histological reference standard for validity and accuracy of surrogates of fibrosis. DIA may also have a potential role within the new perspective of redefining and sub-classifying cirrhosis. Since DIA algorithm covers multiple domains of hepatopathology and engineering, it may seem to be complicated to a researcher. This review provides an understanding of all basic steps, techniques, clinical applications of computerized image analysis for the particular purpose of liver fibrosis aiming its better implementation in hepatology research. Further work is required for standardization of all stages of pre-imaging, digital image acquisition and digital image processing steps for generation of reproducible outputs

Palliative care in cirrhotic patients: Brief summary of recent AASLD guidance

Palliative care in decompensated cirrhotic patients is a developing concept which should be used in cirrhotic patients during the advanced and terminal stages. Hepatologists and liver transplant teams mostly ignore the patients palliative care issues while intensively dealing with the liver diseases and its complications. This review is a brief summary of the recently published guidance discussing the palliative care, symptom based treatments and end of life with a collaborative and standartized approach which is recommended to all health care workers of cirrhotic patients

The PREDICT study uncovers three clinical courses of acutely decompensated cirrhosis that have distinct pathophysiology

Background & Aims: Acute decompensation (AD) of cirrhosis is defined as the acute development of ascites, gastrointestinal hemorrhage, hepatic encephalopathy, infection or any combination thereof, requiring hospitalization. The presence of organ failure(s) in patients with AD defines acute-on-chronic liver failure (ACLF). The PREDICT study is a European, prospective, observational study, designed to characterize the clinical course of AD and to identify predictors of ACLF. Methods: A total of 1,071 patients with AD were enrolled. We collected detailed pre-specified information on the 3-month period prior to enrollment, and clinical and laboratory data at enrollment. Patients were then closely followed up for 3 months. Outcomes (liver transplantation and death) at 1 year were also recorded. Results: Three groups of patients were identified. Pre-ACLF patients (n = 218) developed ACLF and had 3-month and 1-year mortality rates of 53.7% and 67.4%, respectively. Unstable decompensated cirrhosis (UDC) patients (n = 233) required >= 1 readmission but did not develop ACLF and had mortality rates of 21.0% and 35.6%, respectively. Stable decompensated cirrhosis (SDC) patients (n = 620) were not readmitted, did not develop ACLF and had a 1-year mortality rate of only 9.5%. The 3 groups differed significantly regarding the grade and course of systemic inflammation (high-grade at enrollment with aggravation during follow-up in pre-ACLF; low-grade at enrollment with subsequent steady-course in UDC; and low-grade at enrollment with subsequent improvement in SDC) and the prevalence of surrogates of severe portal hypertension throughout the study (high in UDC vs. low in pre-ACLF and SDC). Conclusions: Acute decompensation without ACLF is a heterogeneous condition with 3 different clinical courses and 2 major pathophysiological mechanisms: systemic inflammation and portal hypertension. Predicting the development of ACLF remains a major future challenge. Lay summary: Herein, we describe, for the first time, 3 different clinical courses of acute decompensation (AD) of cirrhosis after hospital admission. The first clinical course includes patients who develop acute-on-chronic liver failure (ACLF) and have a high short-term risk of death - termed pre-ACLF. The second clinical course (unstable decompensated cirrhosis) includes patients requiring frequent hospitalizations unrelated to ACLF and is associated with a lower mortality risk than pre-ACLF. Finally, the third clinical course (stable decompensated cirrhosis), includes two-thirds of all patients admitted to hospital with AD - patients in this group rarely require hospital admission and have a much lower 1-year mortality risk. (C) 2020 European Association for the Study of the Liver. Published by Elsevier B.V