Adeel A Butt1,2,3, Yanjie Ren1, Vincent Lo Re4, Tamar H Taddei5,6, David E Kaplan7. 1. VA Pittsburgh Healthcare System, Pennsylvania. 2. Weill Cornell Medical College, Doha, Qatar, and New York, New York. 3. Hamad Healthcare Quality Institute and Hamad Medical Corporation, Doha, Qatar. 4. University of Pennsylvania, Perelman School of Medicine, Philadelphia. 5. VA Connecticut Healthcare System, West Haven. 6. Division of Digestive Diseases, Yale University School of Medicine, New Haven, Connecticut. 7. Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
Abstract
BACKGROUND: Identifying hepatitis C virus (HCV)-positive persons at high risk of early complications can help prioritize treatment decisions. We conducted this study to compare Child-Turcotte-Pugh (CP), MELD, and FIB-4 scores for predicting clinical outcomes and to identify those at low risk of complications. METHODS: Within electronically retrieved cohort of HCV-infected veterans, we identified HCV-positive persons and excluded those with human immunodeficiency virus (HIV), hepatitis B surface antigen (HBsAg), prevalent hepatic decompensation (HD), hepatocellular carcinoma (HCC), and those treated for HCV. We calculated incidence rates for HD, HCC, and all-cause mortality at 1, 3, and 5 years after HCV diagnosis. Using receiver operating characteristic (ROC) curves, we determined the optimal cut-off values for each score for these outcomes. RESULTS: Among 21 116 persons evaluated, 89.7% were CP Class-A, 79.9% had MELD<9, and 43.4% had FIB-4<1.45. AUROC for HD at 1, 3, and 5 years was higher for FIB-4 (0.84-0.86) compared with MELD (0.70-0.76) (P < .001). AUROC for HCC at 1, 3, and 5 years was 0.81-0.82 for FIB-4 but 0.61-0.68 for CP and MELD scores. (P < .001) AUROC for all-cause mortality at 3 and 5 years was 0.65-0.68. The optimal cut-off scores to identify persons at low risk of complications were as follows: CP <5; MELD <8; FIB-4 <3 for HD and HCC, and <2 for all-cause mortality, below which <1.5% developed HD and HCC and ≤2.5% died at 3 years. CONCLUSIONS: FIB-4 score is a better predictor of HD and HCC in HCV-positive persons. A score of <3 is associated with a low risk of HD and HCC 1 and 3 years after HCV diagnosis.
BACKGROUND: Identifying hepatitis C virus (HCV)-positive persons at high risk of early complications can help prioritize treatment decisions. We conducted this study to compare Child-Turcotte-Pugh (CP), MELD, and FIB-4 scores for predicting clinical outcomes and to identify those at low risk of complications. METHODS: Within electronically retrieved cohort of HCV-infected veterans, we identified HCV-positive persons and excluded those with human immunodeficiency virus (HIV), hepatitis B surface antigen (HBsAg), prevalent hepatic decompensation (HD), hepatocellular carcinoma (HCC), and those treated for HCV. We calculated incidence rates for HD, HCC, and all-cause mortality at 1, 3, and 5 years after HCV diagnosis. Using receiver operating characteristic (ROC) curves, we determined the optimal cut-off values for each score for these outcomes. RESULTS: Among 21 116 persons evaluated, 89.7% were CP Class-A, 79.9% had MELD<9, and 43.4% had FIB-4<1.45. AUROC for HD at 1, 3, and 5 years was higher for FIB-4 (0.84-0.86) compared with MELD (0.70-0.76) (P < .001). AUROC for HCC at 1, 3, and 5 years was 0.81-0.82 for FIB-4 but 0.61-0.68 for CP and MELD scores. (P < .001) AUROC for all-cause mortality at 3 and 5 years was 0.65-0.68. The optimal cut-off scores to identify persons at low risk of complications were as follows: CP <5; MELD <8; FIB-4 <3 for HD and HCC, and <2 for all-cause mortality, below which <1.5% developed HD and HCC and ≤2.5% died at 3 years. CONCLUSIONS: FIB-4 score is a better predictor of HD and HCC in HCV-positive persons. A score of <3 is associated with a low risk of HD and HCC 1 and 3 years after HCV diagnosis.
Authors: Deirdre Sawinski; Kimberly A Forde; Vincent Lo Re; David S Goldberg; Jordana B Cohen; Jayme E Locke; Roy D Bloom; Colleen Brensinger; Joe Weldon; Justine Shults; Peter P Reese Journal: Am J Kidney Dis Date: 2019-01-29 Impact factor: 8.860