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Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection†‡
Open accessAbstract
Liver biopsy remains the gold standard in the assessment of severity of liver disease. Noninvasive tests have gained popularity to predict histology in view of the associated risks of biopsy. However, many models include tests not readily available, and there are limited data from patients with HIV/hepatitis C virus (HCV) coinfection. We aimed to develop a model using routine tests to predict liver fibrosis in patients with HIV/HCV coinfection. A retrospective analysis of liver histology was performed in 832 patients. Liver fibrosis was assessed via Ishak score; patients were categorized as 0-1, 2-3, or 4-6 and were randomly assigned to training (n = 555) or validation (n = 277) sets. Multivariate logistic regression analysis revealed that platelet count (PLT), age, AST, and INR were significantly associated with fibrosis. Additional analysis revealed PLT, age, AST, and ALT as an alternative model. Based on this, a simple index (FIB-4) was developed: age ([yr] x AST [U/L]) / ((PLT [10(9)/L]) x (ALT [U/L])(1/2)). The AUROC of the index was 0.765 for differentiation between Ishak stage 0-3 and 4-6. At a cutoff of <1.45 in the validation set, the negative predictive value to exclude advanced fibrosis (stage 4-6) was 90% with a sensitivity of 70%. A cutoff of >3.25 had a positive predictive value of 65% and a specificity of 97%. Using these cutoffs, 87% of the 198 patients with FIB-4 values outside 1.45-3.25 would be correctly classified, and liver biopsy could be avoided in 71% of the validation group. In conclusion, noninvasive tests can accurately predict hepatic fibrosis and may reduce the need for liver biopsy in the majority of HIV/HCV-coinfected patients.
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“It includes HIV-1 RNA, CD4 count, hepatitis C co-infection, FIB 4, eGFR, anemia, and age and is substantially more predictive of all causes of mortality than an index restricted to HIV-1 RNA, CD4 count, and age.”
From HIV and Aging: State of Knowledge and Areas of Critical Need for Research. A Report to the NIH Office of AIDS Research by the HIV and Aging Working Group (2012) · cites this paper as [56]
In the citing paper
“These composite markers of liver injury have been repeatedly shown to indicate risk of liver fibrosis among those with HIV and HCV infections (56).”
From HIV and Aging: State of Knowledge and Areas of Critical Need for Research. A Report to the NIH Office of AIDS Research by the HIV and Aging Working Group (2012) · cites this paper as [56]
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Liver Fibrosis Index FIB‐4 Is Associated With Mortality in COVID‐19
Li, Y., Regan, J., Fajnzylber, J. M., Coxen, K., Corry, H., Wong, C., Rosenthal, A., Atyeo, C. G., Fischinger, S., Gillespie, E., et al. (2020) · Hepatology Communications · doi:10.1002/hep4.1650 · Cited by 65
“(10) FIB-4 was calculated using the following formula(6):”
BackgroundMethodInfluentialNakashima, M., Sakuragi, S., Miyoshi, T., Takayama, S., Kawaguchi, T., Kodera, N., Akai, H., Koide, Y., Otsuka, H., Wada, T., et al. (2021) · ESC Heart Failure · doi:10.1002/ehf2.13317 · Cited by 65
“The fibrosis-4 index (FIB-4 index) was reported as a simple index to evaluate liver fibrosis.(7) The FIB-4 index is calculated from four parameters: age, aspartate aminotransferase (AST),”
BackgroundMethodAoki, T., Nishida, N., Ueshima, K., Morita, M., Chishina, H., Takita, M., Hagiwara, S., Ida, H., Minami, Y., Yamada, A., et al. (2021) · Liver Cancer · doi:10.1159/000518048 · Cited by 63
Obesity Modifies the Performance of Fibrosis Biomarkers in Nonalcoholic Fatty Liver Disease
Qadri, S. U., Ahlholm, N., Lønsmann, I., Pellegrini, P., Poikola, A., Luukkonen, P. K., Porthan, K., Juuti, A., Sammalkorpi, H. E., Penttilä, A. K., et al. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab933 · Cited by 63
Chandran, V. I., Wernberg, C. W., Lauridsen, M. M., Skytthe, M. K., Bendixen, S. M., Larsen, F. T., Hansen, C. D., Grønkjær, L. L., Siersbæk, M. S., Caterino, T. D., et al. (2022) · Hepatology · doi:10.1002/hep.32620 · Cited by 64
“We then compared the diagnostic accuracy of different classifications of NASH (NAS > 4, at‐risk NASH, and strict NASH) to other noninvasive test markers involved in NAFLD diagnosis such as FibroScan‐aspartate aminotransferase (FAST) score,[26] Fibrosis‐4 (FIB‐4),[27] Forns index,[28] aspartate aminotransferase (AST)/a…”
MethodSteatotic Liver Disease: Metabolic Dysfunction, Alcohol, or Both?
Staufer, K., & Stauber, R. E. (2023) · Biomedicines · doi:10.3390/biomedicines11082108 · Cited by 63
“NAFLD fibrosis score (NFS), using a combination of the parameters of age, fasting glucose, body mass index (BMI), platelet count, albumin, and AST/ALT ratio [66], as well as fibrosis-4 index (FIB-4), including age, AST, ALT, and platelet count [67], are among the most widely used noninvasive tests.”
MethodYip, T. C., Lee, H. W., Lin, H., Tsochatzis, E. A., Petta, S., Bugianesi, E., Yoneda, M., Zheng, M., Hagström, H., Boursier, J., et al. (2025) · Journal of Hepatology · doi:10.1016/j.jhep.2025.01.014 · Cited by 63
Matthews, G. V., Seaberg, E. C., Dore, G. J., Bowden, S., Lewin, S. R., Sasadeusz, J. J., Marks, P., Goodman, Z. D., Philp, F. H., Tang, Y., et al. (2009) · AIDS · doi:10.1097/qad.0b013e32832b43f2 · Cited by 63
“Two methods of noninvasive fibrosis assessment using serum biochemical algorithms, the AST to platelet ration index (APRI) score [15] and FIB4 score [16], were calculated on all patients.”
MethodMean platelet volume is increased in chronic hepatitis C patients with advanced fibrosis
Pürnak, T., Ölmez, Ş., Torun, S., Efe, C., Sayılır, A., Özaslan, E., Tenlik, İ., Kalkan, İ. H., Beyazıt, Y., & Yüksel, O. (2012) · Clinics and Research in Hepatology and Gastroenterology · doi:10.1016/j.clinre.2012.03.035 · Cited by 63
Assessment of Intestinal Failure Associated Liver Disease according to different diagnostic criteria
Sasdelli, A. S., Agostini, F., Pazzeschi, C., Guidetti, M., Lal, S., & Pironi, L. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2018.04.019 · Cited by 63
Liver elastography, comments on EFSUMB elastography guidelines 2013
Cui, X. (2013) · World Journal of Gastroenterology · doi:10.3748/wjg.v19.i38.6329 · Cited by 62
Loosen, S. H., Kostev, K., Keitel, V., Tacke, F., Roderburg, C., & Luedde, T. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2021.08.030 · Cited by 62
Díaz, L. A., Arab, J. P., Idalsoaga, F. J., Perelli, J., Vega, J. A., Dirchwolf, M., Carreño, J., Samith, B., Valério, C. M., Moreira, R. O., et al. (2025) · Annals of Hepatology · doi:10.1016/j.aohep.2025.101903 · Cited by 72
“The FIB-4 score, which combines age, AST, ALT, and platelet count, is one of the most widely used NITs to estimate liver fi brosis [84].”
Assessment of fibrosis in chronic liver diseases
Zhou, K., & Lu, L. (2009) · Journal of Digestive Diseases · doi:10.1111/j.1751-2980.2008.00356.x · Cited by 62
The Ochanomizu Liver Conference Study Group, Nagata, H., Nakagawa, M., Nishimura‐Sakurai, Y., Asano, Y., Tsunoda, T., Miyoshi, M., Kaneko, S., Goto, F., Otani, S., et al. (2016) · Hepatology International · doi:10.1007/s12072-016-9754-1 · Cited by 62
“A fibrosis 4 (Fib-4) index and aspartate aminotransferase (AST)-to-platelet ratio index (APRI) were also calculated as reported before [11, 12].”
MethodNew Concepts on Pathogenesis and Diagnosis of Liver Fibrosis; A Review Article
Ebrahimi, H., Naderian, M., & Sohrabpour, A. A. (2016) · Middle East Journal of Digestive Diseases · doi:10.15171/mejdd.2016.29 · Cited by 61
Londoño, M., Souza, L. N., Lozano, J. J., Miquel, R., Abraldeṣ, J. G., Llovet, L., Quaglia, A., Rimola, A., Navasa, M., & Fueyo, A. S. (2018) · Journal of Hepatology · doi:10.1016/j.jhep.2018.04.012 · Cited by 62
“Indirect fibrosis scores (APRI and FIB4) were calculated using the standard formulas at the time of inclusion and at the last follow-up [12,13].”
MethodEletreby, R., Elakel, W., Said, M., El‐Kassas, M., Seif, S. M., Elbaz, T. M., Raziky, M. E., Rehim, S. A., Zaky, S., Fouad, R., et al. (2016) · Liver International · doi:10.1111/liv.13266 · Cited by 61
Drolz, A., Wolter, S., Wehmeyer, M. H., Piecha, F., Horvatits, T., Wiesch, J. S. Z., Lohse, A. W., Mann, O., & Kluwe, J. (2021) · International Journal of Obesity · doi:10.1038/s41366-021-00881-8 · Cited by 61
Noninvasive serum biomarkers for liver fibrosis in NAFLD: current and future
Reinson, T., Buchanan, R. M., & Byrne, C. D. (2022) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2022.0348 · Cited by 69
Kim, H., Bae, S., Lee, M. J., Kim, E. H., Park, H., Kim, H. S., Cho, Y. K., Jung, C. H., Lee, W. J., & Choe, J. (2023) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2023.0035 · Cited by 63
“good diagnostic performance for detecting significant liver fibrosis (26).”
BackgroundOchoa‐Allemant, P., Marrero, J. A., & Serper, M. (2023) · Hepatology Communications · doi:10.1097/hc9.0000000000000324 · Cited by 62
“[24] We also obtained the fibrosis-4 score and NAFLD fibrosis score as described, [25,26] considering the optimized cutoffs for patients aged ≥ 65 years.”
MethodColantoni, A., Bucci, T., Cocomello, N., Angelico, F., Ettorre, E., Pastori, D., Lip, G. Y. H., Ben, M. D., & Baratta, F. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02263-6 · Cited by 65
“The study protocol has been previously described elsewhere [25].”
MethodKim, M. N., Han, J. W., An, J., Kim, B. K., Jin, Y., Kim, S., Lee, M., Lee, H. A., Cho, Y., Kim, H. Y., et al. (2024) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2024.0506 · Cited by 65
Management of chronic hepatitis B infection
Sundaram, V., & Kowdley, K. V. (2015) · BMJ · doi:10.1136/bmj.h4263 · Cited by 61
Foucher, J., Reiller, B., Jullien, V., Léal, F., Cesare, E. S. D., Merrouche, W., Delile, J., & de Lédinghen, V. (2009) · Journal of Viral Hepatitis · doi:10.1111/j.1365-2893.2008.01050.x · Cited by 61
Lombardi, R., Sambatakou, H., Mariolis, I., Cokkinos, D. D., Papatheodoridis, G., & Tsochatzis, E. A. (2016) · Digestive and Liver Disease · doi:10.1016/j.dld.2016.08.117 · Cited by 61
Radley, A., Tait, J., & Dillon, J. F. (2017) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2017.05.042 · Cited by 62
Multimorbidity and polypharmacy in diabetic patients with NAFLD
Patel, P. J., Hayward, K. L., Rudra, R., Horsfall, L. U., Hossain, F., Williams, S., Johnson, T., Brown, N. N., Saad, N., Clouston, A. D., et al. (2017) · Medicine · doi:10.1097/md.0000000000006761 · Cited by 61
“Patients were eligible to be included in the study if they had a diagnosis of type 2 diabetes defined using standard criteria,[17] NAFLD, and an indeterminate or high score on the FIB4[18]http://gihep.com/calculators/hepatology/fibrosis-4-score/) or NAFLD fibrosis scores[19] (http://www.nafldscore.com/).”
BackgroundWohl, D. A., Clarke, A. E., Maggiolo, F., Garner, W., Laouri, M., Martin, H., & Quirk, E. K. (2018) · Patient · doi:10.1007/s40271-018-0322-8 · Cited by 61
“The FIB-4 score, computed using age, platelet count, and aspartate and alanine transaminase values, provides an estimate of the degree of liver fibrosis in HIV and hepatitis C virus co-infected patients [29].”
MethodWijarnpreecha, K., Li, F., Lundin, S. K., Suresh, D., Song, M. W., Tao, C., Chen, V. L., & Lok, A. S. F. (2023) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.17424 · Cited by 61
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Tamaki, N., Kurosaki, M., Huang, D. Q., & Loomba, R. S. (2022) · Hepatology Research · doi:10.1111/hepr.13764 · Cited by 62
“FIB‐4 is composed of age, aspartate aminotransferase (AST), alanine aminotransferase (ALT), and platelets.(16) NFS is composed of age, body mass index (BMI), impaired fasting glucose/diabetes, AST, ALT, platelets, and albumin.”
BackgroundChon, Y. E., Jung, E. S., Park, J. Y., Kim, D. Y., Ahn, S. H., Han, K., Chon, C. Y., Jung, K. S., & Kim, S. U. (2012) · Journal of Clinical Gastroenterology · doi:10.1097/mcg.0b013e31825079f1 · Cited by 60
Moorman, A. C., Xing, J., Ko, S. C., Rupp, L. B., Xu, F., Gordon, S. C., Lü, M., Spradling, P. R., Teshale, E. H., Boscarino, J. A., et al. (2014) · Hepatology · doi:10.1002/hep.27365 · Cited by 60
Liver fibrosis: the 2017 state of art
Caviglia, G. P., Rosso, C., Fagoonee, S., Saracco, G. M., & Pellicano, R. (2017) · Panminerva Medica · doi:10.23736/s0031-0808.17.03359-6 · Cited by 62
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“These non-invasive markers can detect cirrhosis in chronic viral hepatitis and nonalcoholic fatty liver disease (NAFLD) [14,15]; however, their ability to detect the early liver fibrosis stages and cirrhosis of AIH patients is still uncertain.”
BackgroundFujimori, N., Umemura, T., Kimura, T., Tanaka, N., Sugiura, A., Yamazaki, T., Joshita, S., Komatsu, M., Usami, Y., Sano, K., et al. (2018) · World Journal of Gastroenterology · doi:10.3748/wjg.v24.i11.1239 · Cited by 61
Incidence, aetiology and related comorbidities of cirrhosis: a Swedish population-based cohort study
Vaz, J., Eriksson, B., Strömberg, U., Buchebner, D., & Midlöv, P. (2020) · BMC Gastroenterology · doi:10.1186/s12876-020-01239-6 · Cited by 59
A risk prediction model for hepatocellular carcinoma after hepatitis B surface antigen seroclearance
Yang, H., Bae, S. H., Nam, H., Lee, H. L., Lee, S. W., Yoo, S. H., Song, M. J., Kwon, J. H., Nam, S. W., Choi, J. Y., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2022.03.032 · Cited by 59
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Sánchez‐Conde, M., Miralles, P., Bellón, J. M., Rincón, D., Ramírez, M., Gutiérrez, I., Ripoll, C., López, J. C., Cosín, J., Clemente, G., et al. (2010) · Journal of Viral Hepatitis · doi:10.1111/j.1365-2893.2010.01371.x · Cited by 59
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Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data
He, L., Li, H., Dudley, J. A., Maloney, T., Brady, S. L., Somasundaram, E., Trout, A. T., & Dillman, J. R. (2019) · American Journal of Roentgenology · doi:10.2214/ajr.19.21082 · Cited by 58
Ciardullo, S., Vergani, M., & Perseghin, G. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12175597 · Cited by 63
“The most validated and applied are the FIB-4 [37] (based on AST, ALT, age, and platelet count) and the NAFLD Fibrosis Score [38] (NFS, based on AST, ALT, age, platelet count, BMI, and diabetes/impaired glucose tolerance).”
MethodInfluentialEpidemiology and diagnosis of metabolic dysfunction-associated fatty liver disease
Fouad, Y. M., Alboraie, M. A. A., & Shiha, G. E.-S. (2024) · Hepatology International · doi:10.1007/s12072-024-10704-3 · Cited by 58
MAFLD Criteria Guide the Subtyping of Patients with Fatty Liver Disease
Huang, J., Ou, W., Wang, M.-F., Singh, M., Liu, Y., Liu, S., Wu, Y., Zhu, Y., Kumar, R., & Lin, S. (2021) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s285880 · Cited by 58
Gidener, T., Dierkhising, R. A., Mara, K. C., Therneau, T. M., Venkatesh, S. K., Ehman, R. L., Yin, M., & Allen, A. M. (2023) · Hepatology · doi:10.1002/hep.32594 · Cited by 62
“FIB‐4 index was calculated as age (years) × AST (U/L)/(platelets [109/L] ×ALT1/2 [U/L]).[10] Cirrhosis was defined by the presence histologic evidence of stage 4 fibrosis on biopsy or cirrhotic morphology on imaging (surface nodularity, hypertrophy of the caudate lobe hypertrophy, right lobe atrophy) with evidence of…”
MethodThe Hepatitis Glyco-biomarker Study Group, Fujiyoshi, M., Kuno, A., Gotoh, M., Fukai, M., Yokoo, H., Kamachi, H., Kamiyama, T., Korenaga, M., Mizokami, M., et al. (2015) · Journal of Gastroenterology · doi:10.1007/s00535-015-1063-2 · Cited by 57
“FIB4 indices were calculated as follows: FIB4 index = age 9 AST level/[platelet count 9 (ALT level)] [20].”
MethodNagaoki, Y., Imamura, M., Aikata, H., Daijo, K., Teraoka, Y., Honda, F., Nakamura, Y., Hatooka, M., Morio, R., Morio, K., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182710 · Cited by 57
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Prevalence of hepatitis B and C viruses in HIV‐positive patients in China: a cross‐sectional study
Xie, J., Han, Y., Qiu, Z., Li, Y., Li, Y., Song, X., Wang, H., Thio, C. L., & Li, T. (2016) · Journal of the International AIDS Society · doi:10.7448/ias.19.1.20659 · Cited by 57
Non‐invasive fibrosis score for hepatitis delta
Lutterkort, G. L., Wranke, A., Yurdaydın, C., Budde, E., Westphal, M., Lichtinghagen, R., Stift, J., Bremer, B., Hardtke, S., Keskın, O., et al. (2016) · Liver International · doi:10.1111/liv.13205 · Cited by 57
Noninvasive markers for staging fibrosis in chronic delta hepatitis
Takyar, V. K., Surana, P., Kleiner, D. E., Wilkins, K. J., Hoofnagle, J. H., Liang, T. J., Heller, T., & Koh, C. (2016) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.13834 · Cited by 57
Chon, Y. E., Park, J. Y., Myoung, S.-M., Jung, K. S., Kim, B. K., Kim, S. U., Kim, D. Y., Ahn, S. H., & Han, K. (2017) · The American Journal of Gastroenterology · doi:10.1038/ajg.2017.93 · Cited by 57
Loong, T. C., Wei, J. L., Leung, J. C., Wong, G. L., Shu, S. S., Chim, A. M., Chan, A. W. H., Choi, P. C., Tse, Y., Chan, H. L., et al. (2016) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.13671 · Cited by 57
Yamauchi, M., Ono, A., Ishikawa, A., Kodama, K., Uchikawa, S., Hatooka, H., Zhang, P., Teraoka, Y., Morio, K., Fujino, H., et al. (2020) · Clinical and Translational Gastroenterology · doi:10.14309/ctg.0000000000000179 · Cited by 57
“The fibrosis-4 index of each case was calculated by using the formula (17): (age [years]3 aspartate aminotransferase [U/L])/([PLT (10(9)/L)]3 [alanine aminotransferase (U/L)]).”
MethodPark, J. G., Jung, J., Verma, K. K., Kang, M. K., Madamba, E. V., Lopez, S. J., Yonan, A. Q., Liu, A. Y., Bettencourt, R., Sirlin, C. B., et al. (2021) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.16324 · Cited by 57
Kahler, C. W., Liu, T., Cioe, P. A., Bryant, V., Pinkston, M. M., Kojic, E. M., Onen, N., Baker, J. V., Hammer, J., Brooks, J. T., et al. (2017) · AIDS and Behavior · doi:10.1007/s10461-016-1474-y · Cited by 56
“Non-HIV biomarkers included indices of liver fibrosis, kidney function, and hemoglobin: We used FIB-4 to estimate the extent of liver fibrosis; FIB-4 incorporates aspartate aminotransferase, alanine aminotransferase, platelets, and age, and has both high negative and positive predictive values for the presence of adva…”
MethodCHI3L1 in the pathophysiology and diagnosis of liver diseases
Wang, S., Hu, M., Qian, Y.-S., Jiang, Z., Shen, L., Fu, L., & Hu, Y. (2020) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2020.110680 · Cited by 57
Cho, K. Y., Nakamura, A., Omori, K., Takase, T., Miya, A., Yamamoto, K., Nomoto, H., Kameda, H., Taneda, S., Kurihara, Y., et al. (2020) · Journal of Diabetes Investigation · doi:10.1111/jdi.13457 · Cited by 58
Diabetes and metabolic dysfunction-associated fatty liver disease
Davis, T. M. E. (2021) · Metabolism · doi:10.1016/j.metabol.2021.154868 · Cited by 60
Sugiyama, A., Kurisu, A., Bunthen, E., Ouoba, S., Ko, K., Rakhimov, A., Akita, T., Harakawa, T., Sako, T., Koshiyama, M., et al. (2022) · BMC Gastroenterology · doi:10.1186/s12876-022-02290-1 · Cited by 56
“FIB-4 index was principally developed by analyzing patients with an average age of 40 ± 7 years [12].”
MethodGiangregorio, F., Mosconi, E., Debellis, M. G., Provini, S., Esposito, C., Garolfi, M., Oraka, S., KALOUDI, O., Mustafazade, G., Marín‐Baselga, R., et al. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13195880 · Cited by 67
“FIB-4 index is also associated with all-cause mortality of systemic chronic diseases such as rheumatoid arthritis [262], microscopic polyangiitis, granulo-matosis with polyangiitis [263], and chronic obstructive pulmonary disease [264].”
BackgroundSchmid, P., Bregenzer, A., Huber, M., Rauch, A., Jochum, W., Müllhaupt, B., Vernazza, P., Opravil, M., Weber, R. K., & Study, S. H. C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138838 · Cited by 56
“45 (<F3) Standard [17] 100 (14/ 14) 55.”
InfluentialMa, J., Jiang, Y., & Gong, G. (2013) · European Journal of Gastroenterology & Hepatology · doi:10.1097/meg.0b013e32835cb5dd · Cited by 56
New noninvasive index for predicting liver fibrosis in Asian patients with chronic viral hepatitis
Wang, H., Peng, C., Lai, H., Su, W., Lin, C., Chuang, P., Chen, S., Chen, C., Hsu, W., & Huang, G. (2017) · Scientific Reports · doi:10.1038/s41598-017-03589-w · Cited by 56
Xie, K., Chen, C.-H., Tsai, S.-P., Lu, P. J., Wu, H. M., Zeng, Y., Ye, Y., Tu, H., Wen, C., Huang, M., et al. (2019) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000000332 · Cited by 56
Aoki, T., Kudo, M., Ueshima, K., Morita, M., Chishina, H., Takita, M., Hagiwara, S., Ida, H., Minami, Y., Tsurusaki, M., et al. (2020) · Cancers · doi:10.3390/cancers12103048 · Cited by 55
“HCV, hepatitis C virus; HBV, hepatitis B virus; NBNC, HBV and HCV negative; BCLC, Barcelona Clinic Liver Cancer; ALBI grade, albumin-bilirubin grade; FIB4, The fibrosis-4 (FIB-4) index was calculated as age (year) × AST (IU/L) / (platelet count (109/L) × √ALT (IU/L)) [38]; AST, aspartate aminotransferase; ALT, alanine…”
Fukunaga, S., Nakano, D., Kawaguchi, T., Eslam, M., Ouchi, A., Nagata, T., Kuroki, H., Kawata, H., Hirohiko, A. B. E., Nouno, R., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22115462 · Cited by 56
“FIB-4 index was calculated using age, serum levels of AST, ALT, and platelet count as previously described [39].”
MethodNoninvasive Assessment of Fibrosis in Patients with Nonalcoholic Fatty Liver Disease
Buzzetti, E., Lombardi, R., Luca, L. D., & Tsochatzis, E. A. (2015) · International Journal of Endocrinology · doi:10.1155/2015/343828 · Cited by 56
Zhang, X., Yip, T. C.-F., Wong, G. L.-H., Leow, W.-X., Liang, L. Y., Lim, L.-L., Li, G., Ibrahim, L., Lin, H., Lai, J. C. T., et al. (2023) · Gut · doi:10.1136/gutjnl-2023-330269 · Cited by 55
Cassinotto, C., Boursier, J., Paisant, A., Guiu, B., Irles‐Depe, M., Canivet, C., Aube, C., & de Ledinghen, V. (2021) · Hepatology · doi:10.1002/hep.31655 · Cited by 55
ANDERSON, J. P., Tchetgen, E. J. T., Re, V. L., Tate, J. P., Williams, P. L., Seage, G. R., Horsburgh, C. R., Lim, J. K., Goetz, M. B., Rimland, D., et al. (2013) · Clinical Infectious Diseases · doi:10.1093/cid/cit779 · Cited by 55
“and categorized as described by Sterling et al [30].”
MethodInherited non-alcoholic fatty liver disease and dyslipidemia due to monoallelic ABHD5 mutations
Youssefian, L., Vahidnezhad, H., Saeidian, A. H., Pajouhanfar, S., Sotoudeh, S., Mansouri, P., Amirkashani, D., Zeinali, S., Levine, M. A., Peris, K., et al. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2019.03.026 · Cited by 55
Non-invasive tests of non-alcoholic fatty liver disease
Li, G., Zhang, X., Lin, H., Liang, L. Y., Wong, G. L., & Wong, V. W. (2022) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002027 · Cited by 56
“FIB-4 consists of age, AST, ALT, and platelet count and was developed in CHC/human immunodeficiency virus (HIV) coinfected patients.([65]) A recent meta-analysis (based on 64 studies in 13,046 NAFLD patients) reported that FIB-4 had AUROC of 0.”
BackgroundFontan‐associated liver disease
Hilscher, M. B., Wells, M. L., Venkatesh, S. K., Cetta, F., & Kamath, P. S. (2022) · Hepatology · doi:10.1002/hep.32406 · Cited by 55
Han, S., Choi, M., Lee, B., Lee, H. W., Kang, S. H., Cho, Y., Ahn, S. B., Song, D. S., Jun, D. W., Lee, J.-E., et al. (2022) · Gut and Liver · doi:10.5009/gnl210391 · Cited by 55
“First, the biggest limitation of this study is that it lacks new information compared to the existing meta-analysis related to FIB-4 or NFS.”
BackgroundMethodInfluentialMahmud, N., Serper, M., Taddei, T. H., & Kaplan, D. E. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.03.052 · Cited by 55
Sesti, G., Fiorentino, T., Arturi, F., Perticone, M., Sciacqua, A., & Perticone, F. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088569 · Cited by 60
“problems, several noninvasive scoring indexes have been developed by combining clinical and biochemical parameters that are useful to categorize subjects with NAFLD in subgroups at low and high risk of advanced fibrosis [33–37].”
BackgroundStibbe, K. J. M., Verveer, C., Francke, J., Hansen, B. E., Zondervan, P. E., Kuipers, E. J., de Knegt, R. J., & van Vuuren, A. J. (2011) · Scandinavian Journal of Gastroenterology · doi:10.3109/00365521.2011.574725 · Cited by 55
“Fib-4 was measured in the serum of all patients as follows: age(years) [AST(U/L)/platelets (10(9)/L) HALT(U/L)] [19].”
MethodAmorim, T. G. F., Staub, G. J., Lazzarotto, C., Silva, A. P., Manes, J., Ferronato, M. D. G., Shiozawa, M. B. C., Narciso-Schiavon, J. L., Dantas-Corrêa, E. B., & Schiavon, L. D. L. (2012) · Annals of Hepatology · doi:10.1016/s1665-2681(19)31410-3 · Cited by 55
Miller, M. H., Walsh, S. V., Atrih, A., Huang, J. T.-J., Ferguson, M. A. J., & Dillon, J. F. (2014) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.12614 · Cited by 55
Morse, C. G., McLaughlin, M. E., Proschan, M. A., Koh, C., Kleiner, D. E., Heller, T., & Kovacs, J. A. (2015) · AIDS · doi:10.1097/qad.0000000000000841 · Cited by 55
“The AST/platelet ratio index (APRI) [12], fibrosis-4 (FIB-4) [13], and non-alcoholic fatty liver disease fibrosis score (NAFLD-FS) [14] indices were calculated as noninvasive markers of fibrosis, using laboratory and clinical parameters at the time of study enrollment.”
MethodInfluentialProspects in non-invasive assessment of liver fibrosis: Liquid biopsy as the future gold standard?
Lambrecht, J., Verhulst, S., Mannaerts, I., Reynaert, H., & van Grunsven, L. A. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2018.01.009 · Cited by 56
Kupčová, V., Fedelešová, M., Bulas, J., Kozmonová, P., & Turecký, L. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16193570 · Cited by 53
Guillaume, M., Moal, V., Delabaudière, C., Zuberbuhler, F., Robic, M., Lannes, A., Métivier, S., Oberti, F., Gourdy, P., Fouchard‐Hubert, I., et al. (2019) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.15529 · Cited by 55
Kaplan, D. E., Serper, M., John, B. V., Tessiatore, K. M., Lerer, R., Mehta, R., Fox, R., Aytaman, A., Baytarian, M., Hunt, K., et al. (2021) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2020.08.026 · Cited by 41
Backus, L. I., Belperio, P. S., Shahoumian, T. A., Cheung, R. C., & Mole, L. A. (2013) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.12546 · Cited by 54
Retreatment efficacy and predictors of ledipasvir plus sofosbuvir to HCV genotype 1 in Japan
Akuta, N., Sezaki, H., Suzuki, F., Fujiyama, S., Kawamura, Y., Hosaka, T., Kobayashi, M., Kobayashi, M., Saitoh, S., Suzuki, Y., et al. (2016) · Journal of Medical Virology · doi:10.1002/jmv.24617 · Cited by 54
“25 was evaluated as advanced fibrosis [Sterling et al., 2006].”
Zaborska, B., Sygitowicz, G., Smarż, K., Pilichowska‐Paszkiet, E., & Budaj, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-73634-8 · Cited by 54
Substantial gaps in evaluation and treatment of patients with hepatitis B in the US
Ye, Q., Kam, L. Y., Yeo, Y. H., Dang, N. H., Huang, D. Q., Cheung, R. C., & Nguyen, M. H. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2021.08.019 · Cited by 54
Arai, T., Atsukawa, M., Tsubota, A., Mikami, S., Uojima, H., Yoshikata, K., Ono, H., Kawano, T., Yoshida, Y., Tanabe, T., et al. (2022) · Hepatology Communications · doi:10.1002/hep4.2069 · Cited by 54
“The FIB- 4 index was calculated to estimate the degree of liver fibrosis, as reported previously.[21] FIB- 4 index values of <1.”
MethodChoi, W., Kim, G., Choi, J., Choi, G. H., Lee, Y. B., Sinn, D. H., & Lim, Y. (2023) · Gut · doi:10.1136/gutjnl-2023-330225 · Cited by 54
Castéra, L., Garteiser, P., Laouenan, C., Vidal-Trécan, T., Vallet‐Pichard, A., Manchon, P., Paradis, V., Czernichow, S., Roulot, D. M., Larger, É., et al. (2024) · Journal of Hepatology · doi:10.1016/j.jhep.2024.03.023 · Cited by 55
Metadata
- Authors
- Sterling, R. K., Lissen, E., Clumeck, N., Sola, R., Correa, M. C., Montaner, J., S. Sulkowski, M., Torriani, F. J., Dieterich, D. T., Thomas, D. L., Messinger, D., & Nelson, M.
- Affiliations
- Virginia Commonwealth University (US)
- James J. Peters VA Medical Center (US)
- Centre Hospitalier Universitaire de Saint-Pierre (BE)
- Universitat Autònoma de Barcelona (ES)
- University of British Columbia (CA)
- University of California San Diego (US)
- Icahn School of Medicine at Mount Sinai (US)
- Johns Hopkins University (US)
- Chelsea and Westminster Hospital (GB)
- Corresponding author
- Sterling, Richard K.
- Venue
- Hepatology
- Published
- 2006-06
- Volume
- 43
- Issue
- 6
- Pages
- 1317-1325
- ISSN
- 0270-9139 (ISSN-L)
- OpenAlex
- W2064387090
- Cited by
- 5,021
- References
- 48
- Citations by year
- 2026: 497 · 2025: 523 · 2024: 523 · 2023: 490 · 2022: 492 · 2021: 494 · 2020: 390 · 2019: 333 · 2018: 239 · 2017: 210 · 2016: 204 · 2015: 158 · 2014: 92 · 2013: 83 · 2012: 67
- FWCI
- 29.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Hepatology (publishedVersion)
- PubMed (publishedVersion)
- Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion)
- Funders
- National Institute on Drug Abuse (R01DA016078)
- National Institute of Diabetes and Digestive and Kidney Diseases (K23DK064578)
- Topics
- Health Sciences › Medicine › Hepatology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Hepatology › Liver Disease and Transplantation
- Health Sciences › Medicine › Hepatology › Hepatitis C virus research
- Keywords
- HIV/HCV coinfection, liver fibrosis, FIB-4, liver biopsy avoidance, platelet count, transaminases, international normalized ratio, Ishak score, fibrosis staging
- MeSH terms
- Age Factors, Biopsy, Needle, Blood Chemical Analysis, Diagnostic Tests, Routine, Female, Humans, Immunohistochemistry, Liver Cirrhosis, Liver Function Tests, Male, Predictive Value of Tests, Probability, Prognosis, Retrospective Studies, ROC Curve, Sensitivity and Specificity, Severity of Illness Index, Sex Factors, Reproducibility of Results, Cohort Studies, HIV Infections, Logistic Models, Disease Progression, Risk Assessment, Hepatitis C, Chronic
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