Yi Huang1,2, Leon A Adams1,2, Gerry MacQuillan1,2, David Speers1,3, John Joseph4, Max K Bulsara5, Gary P Jeffrey6,7. 1. School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia. 2. Department of Gastroenterology and Hepatology, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia. 3. Department of Microbiology, PathWest Laboratory Medicine, QEII Medical Centre, Perth, Western Australia, Australia. 4. Department of Biochemistry, PathWest Laboratory Medicine, QEII Medical Centre, Perth, Western Australia, Australia. 5. Institute of Health and Rehabilitation Research, University of Notre Dame, Perth, Western Australia, Australia. 6. School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia. gary.jeffrey@uwa.edu.au. 7. Department of Gastroenterology and Hepatology, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia. gary.jeffrey@uwa.edu.au.
Abstract
BACKGROUND AND AIM: This study developed liver outcome scores in chronic hepatitis C (CHC) that directly predict liver-related death, hepatocellular carcinoma (HCC), and liver decompensation. METHODS:Six hundred seventeen CHC patients were followed up for a mean of 6 years and randomized into a training set (n = 411) and a validation set (n = 206). Clinical outcomes were determined using a population-based data linkage system. RESULTS: In the training set, albumin, gamma-glutamyl transpeptidase, hyaluronic acid, age, and sex were in the final model to predict 5-year liver-related death (area under receiver operating characteristic curve [AUROC] 0.95). Two cut points (4.0 and 5.5) defined three risk groups with an incidence rate for liver-related death of 0.1%, 2%, and 13.2%, respectively (P < 0.001). Albumin, gamma-glutamyl transpeptidase, hyaluronic acid, age, and sex were used to predict 5-year liver decompensation (AUROC 0.90). A cut point of 4.5 gave a sensitivity of 94% and a specificity of 84% to predict 5-year decompensation and defined two groups with an incidence rate for decompensation of 0.2% and 5.8%, respectively (P < 0.001). Alkaline phosphatase, α2-macroglobulin, age, and sex were used to predict 5-year HCC occurrence (AUROC 0.95). A cut-point of eight had a sensitivity of 90% and specificity of 88% to predict 5-year HCC occurrence and defined two groups with an incidence rate for HCC of 0.2% and 5.6%, respectively (P < 0.001). Similar results were obtained using the validation set. CONCLUSIONS: All three liver outcome scores had excellent predictive accuracy and were able to stratify risk into clinical meaningful categories for CHC patients.
RCT Entities:
BACKGROUND AND AIM: This study developed liver outcome scores in chronic hepatitis C (CHC) that directly predict liver-related death, hepatocellular carcinoma (HCC), and liver decompensation. METHODS: Six hundred seventeen CHCpatients were followed up for a mean of 6 years and randomized into a training set (n = 411) and a validation set (n = 206). Clinical outcomes were determined using a population-based data linkage system. RESULTS: In the training set, albumin, gamma-glutamyl transpeptidase, hyaluronic acid, age, and sex were in the final model to predict 5-year liver-related death (area under receiver operating characteristic curve [AUROC] 0.95). Two cut points (4.0 and 5.5) defined three risk groups with an incidence rate for liver-related death of 0.1%, 2%, and 13.2%, respectively (P < 0.001). Albumin, gamma-glutamyl transpeptidase, hyaluronic acid, age, and sex were used to predict 5-year liver decompensation (AUROC 0.90). A cut point of 4.5 gave a sensitivity of 94% and a specificity of 84% to predict 5-year decompensation and defined two groups with an incidence rate for decompensation of 0.2% and 5.8%, respectively (P < 0.001). Alkaline phosphatase, α2-macroglobulin, age, and sex were used to predict 5-year HCC occurrence (AUROC 0.95). A cut-point of eight had a sensitivity of 90% and specificity of 88% to predict 5-year HCC occurrence and defined two groups with an incidence rate for HCC of 0.2% and 5.6%, respectively (P < 0.001). Similar results were obtained using the validation set. CONCLUSIONS: All three liver outcome scores had excellent predictive accuracy and were able to stratify risk into clinical meaningful categories for CHCpatients.
Authors: Angus W Jeffrey; Yi Huang; W Bastiaan de Boer; Leon A Adams; Gerry MacQuillan; David Speers; John Joseph; Gary P Jeffrey Journal: World J Hepatol Date: 2017-07-08