OBJECTIVES: Combining noninvasive tests increases diagnostic accuracy for staging liver fibrosis in hepatitis C virus (HCV)-infected patients, but this strategy remains to be validated in HIV/HCV coinfection. We compared the performances of transient elastography (TE), Fibrotest (FT), the aspartate aminotransferase-to-platelet ratio index (APRI) and two algorithms combining TE and FT (Castera) or APRI and FT (SAFE) in HIV/HCV coinfection. METHODS: One hundred and sixteen HIV/HCV-coinfected patients (64% male; median age 44 years) enrolled in two French multicentre studies (the HEPAVIH cohort and FIBROSTIC) for whom TE, FT and APRI data were available were included in the study. Diagnostic accuracies for significant fibrosis (METAVIR F ≥ 2) and cirrhosis (F4) were evaluated by measuring the area under the receiver-operating characteristic curve (AUROC) and calculating percentages of correctly classified (CC) patients, taking liver biopsy as a reference. RESULTS: For F ≥ 2, both TE and FT (AUROC = 0.87 and 0.85, respectively) had a better diagnostic performance than APRI (AUROC = 0.71; P < 0.005). Although the percentage of CC patients was significantly higher with Castera's algorithm than with SAFE (61.2% vs. 31.9%, respectively; P < 0.0001), this percentage was lower than that for TE (80.2%; P < 0.0001) or FT (73.3%; P < 0.0001) taken separately. For F4, TE (AUROC = 0.92) had a better performance than FT (AUROC = 0.78; P = 0.005) or APRI (AUROC = 0.73; P = 0.025). Although the percentage of CC patients was significantly higher with the SAFE algorithm than with Castera's (76.7% vs. 68.1%, respectively; P < 0.050), it was still lower than that for TE (85.3%; P < 0.033). CONCLUSIONS: In HIV/HCV-coinfected patients, TE and FT have a similar diagnostic accuracy for significant fibrosis, whereas for cirrhosis TE has the best accuracy. The use of the SAFE and Castera algorithms does not seem to improve diagnostic performance.
OBJECTIVES: Combining noninvasive tests increases diagnostic accuracy for staging liver fibrosis in hepatitis C virus (HCV)-infectedpatients, but this strategy remains to be validated in HIV/HCV coinfection. We compared the performances of transient elastography (TE), Fibrotest (FT), the aspartate aminotransferase-to-platelet ratio index (APRI) and two algorithms combining TE and FT (Castera) or APRI and FT (SAFE) in HIV/HCV coinfection. METHODS: One hundred and sixteen HIV/HCV-coinfectedpatients (64% male; median age 44 years) enrolled in two French multicentre studies (the HEPAVIH cohort and FIBROSTIC) for whom TE, FT and APRI data were available were included in the study. Diagnostic accuracies for significant fibrosis (METAVIR F ≥ 2) and cirrhosis (F4) were evaluated by measuring the area under the receiver-operating characteristic curve (AUROC) and calculating percentages of correctly classified (CC) patients, taking liver biopsy as a reference. RESULTS: For F ≥ 2, both TE and FT (AUROC = 0.87 and 0.85, respectively) had a better diagnostic performance than APRI (AUROC = 0.71; P < 0.005). Although the percentage of CC patients was significantly higher with Castera's algorithm than with SAFE (61.2% vs. 31.9%, respectively; P < 0.0001), this percentage was lower than that for TE (80.2%; P < 0.0001) or FT (73.3%; P < 0.0001) taken separately. For F4, TE (AUROC = 0.92) had a better performance than FT (AUROC = 0.78; P = 0.005) or APRI (AUROC = 0.73; P = 0.025). Although the percentage of CC patients was significantly higher with the SAFE algorithm than with Castera's (76.7% vs. 68.1%, respectively; P < 0.050), it was still lower than that for TE (85.3%; P < 0.033). CONCLUSIONS: In HIV/HCV-coinfectedpatients, TE and FT have a similar diagnostic accuracy for significant fibrosis, whereas for cirrhosis TE has the best accuracy. The use of the SAFE and Castera algorithms does not seem to improve diagnostic performance.
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
Authors: Raj Vuppalanchi; Mohammad S Siddiqui; Mark L Van Natta; Erin Hallinan; Danielle Brandman; Kris Kowdley; Brent A Neuschwander-Tetri; Rohit Loomba; Srinivas Dasarathy; Manal Abdelmalek; Edward Doo; James A Tonascia; David E Kleiner; Arun J Sanyal; Naga Chalasani Journal: Hepatology Date: 2017-11-29 Impact factor: 17.425
Authors: Marion G Peters; Peter Bacchetti; Ross Boylan; Audrey L French; Phyllis C Tien; Michael W Plankey; Marshall J Glesby; Michael Augenbraun; Elizabeth T Golub; Roksana Karim; Julie Parkes; William Rosenberg Journal: AIDS Date: 2016-03-13 Impact factor: 4.177