BACKGROUND: Clinicians use fibrosis in a liver biopsy to predict clinical outcomes of chronic liver disease. The performance of non-invasive tests has been evaluated against histological assessment of fibrosis but use of clinical outcomes as the reference standard would be ideal. The enhanced liver fibrosis (ELF) test was derived and validated in a large cohort of patients and shown to have high diagnostic accuracy (area under the curve (AUC)=0.80 95% CI 0.76 to 0.85) in identification of significant fibrosis on biopsy. OBJECTIVE: To evaluate ELF performance in predicting clinical outcomes by following up the original ELF cohort. METHODS: Patients recruited to the ELF study at seven English centres were followed up for liver morbidity and mortality by examination of clinical data. Defaulting/discharged patients were followed up by family practitioner questionnaires. Primary outcome measure was liver-related morbidity/liver-related death. RESULTS: 457 patients were followed up (median 7 years), with ascertainment of clinical status in 92%. There were 61 liver-related outcomes (39 deaths). Survival analysis showed that the ELF score predicts liver outcomes, with people having the highest ELF scores being significantly more likely to have clinical outcomes than those in lower-score groups. A Cox proportional hazards model showed fully adjusted HRs of 75 (ELF score 12.52-16.67), 20 (10.426-12.51) and 5 (8.34-10.425) compared with patients with ELF <8.34. A unit change in ELF is associated with a doubling of risk of liver-related outcome. CONCLUSIONS: An ELF test can predict clinical outcomes in patients with chronic liver disease and may be a useful prognostic tool in clinical practice.
BACKGROUND: Clinicians use fibrosis in a liver biopsy to predict clinical outcomes of chronic liver disease. The performance of non-invasive tests has been evaluated against histological assessment of fibrosis but use of clinical outcomes as the reference standard would be ideal. The enhanced liver fibrosis (ELF) test was derived and validated in a large cohort of patients and shown to have high diagnostic accuracy (area under the curve (AUC)=0.80 95% CI 0.76 to 0.85) in identification of significant fibrosis on biopsy. OBJECTIVE: To evaluate ELF performance in predicting clinical outcomes by following up the original ELF cohort. METHODS:Patients recruited to the ELF study at seven English centres were followed up for liver morbidity and mortality by examination of clinical data. Defaulting/discharged patients were followed up by family practitioner questionnaires. Primary outcome measure was liver-related morbidity/liver-related death. RESULTS: 457 patients were followed up (median 7 years), with ascertainment of clinical status in 92%. There were 61 liver-related outcomes (39 deaths). Survival analysis showed that the ELF score predicts liver outcomes, with people having the highest ELF scores being significantly more likely to have clinical outcomes than those in lower-score groups. A Cox proportional hazards model showed fully adjusted HRs of 75 (ELF score 12.52-16.67), 20 (10.426-12.51) and 5 (8.34-10.425) compared with patients with ELF <8.34. A unit change in ELF is associated with a doubling of risk of liver-related outcome. CONCLUSIONS: An ELF test can predict clinical outcomes in patients with chronic liver disease and may be a useful prognostic tool in clinical practice.
Authors: Xin-Wu Cui; Mireen Friedrich-Rust; Chiara De Molo; Andre Ignee; Dagmar Schreiber-Dietrich; Christoph F Dietrich Journal: World J Gastroenterol Date: 2013-10-14 Impact factor: 5.742
Authors: Keyur Patel; Katja S Remlinger; Terence G Walker; Peter Leitner; Joseph E Lucas; Stephen D Gardner; John G McHutchison; Will Irving; Indra Neil Guha Journal: Clin Gastroenterol Hepatol Date: 2014-05-09 Impact factor: 11.382
Authors: Basile Njei; Thomas R McCarty; Jeffrey Luk; Oforbuike Ewelukwa; Ivo Ditah; Joseph K Lim Journal: J Gastroenterol Hepatol Date: 2016-10 Impact factor: 4.029