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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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Rinella, M. E., Neuschwander-Tetri, B. A., Siddiqui, M. S., Abdelmalek, M. F., Caldwell, S., Barb, D., Kleiner, D. E., & Loomba, R. (2023) · Hepatology · doi:10.1097/hep.0000000000000323 · Cited by 2,667
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“Among the different serum biomarkers studied in NAFLD, only NFS and FIB-4 have been externally validated more than once, in different NAFLD populations and with consistent results [119].”
BackgroundInfluentialComparison of Noninvasive Markers of Fibrosis in Patients With Nonalcoholic Fatty Liver Disease
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“time of liver biopsy or within 6-months were used to calculate the FIB-4 and Non-alcoholic fatty liver fibrosis scores (NAFLD fibrosis score) as previously described [27–29].”
MethodAge as a confounding factor for the accurate non-invasive diagnosis of advanced NAFLD fibrosis
McPherson, S., Hardy, T., Dufour, J.-F., Petta, S., Romero-Gomez, M., Allison, M., Oliveira, C. P., Francque, S., Van Gaal, L., Schattenberg, J. M., et al. (2017) · American Journal of Gastroenterology · doi:10.1038/ajg.2016.453 · Cited by 945
Mack, C. L., Adams, D., Assis, D. N., Kerkar, N., Manns, M. P., Mayo, M. J., Vierling, J. M., Alsawas, M., Murad, M. H., & Czaja, A. J. (2020) · Hepatology · doi:10.1002/hep.31065 · Cited by 983
“Among 14 serum-based biomarker panels for hepatic fibrosis, the FibroTest,(247-249) the serum AST/platelet ratio index (APRI),(250) the Fibrosis-4 index (FIB-4),(251,252) and the enhanced liver fibrosis test(253,254) have emerged as the better candidates in AIH.”
BackgroundXiao, G., Zhu, S., Xiao, X., Yan, L., Yang, J., & Wu, G. (2017) · Hepatology · doi:10.1002/hep.29302 · Cited by 895
“Dozens of noninvasive models composed of blood biochemical biomarkers have been proposed to detect LF, including aspartate aminotransferase to platelets ratio index (APRI)((5)) and fibrosis-4 index (FIB-4).((6)) However, APRI and FIB-4 were established based on patients with hepatitis C virus (HCV) infection or HIV/HC…”
MethodEslam, M., Sarin, S. K., Wong, V. W., Fan, J.-G., Kawaguchi, T., Ahn, S. H., Zheng, M., Shiha, G. E.-S., Yilmaz, Y. N., Gani, R. A., et al. (2020) · Hepatology International · doi:10.1007/s12072-020-10094-2 · Cited by 860
“Monitoring of fibrosis progression in the clinic might rely on a combination of noninvasive scores (NFS, FIB-4 and ADAPT) and LSM [263, 264] although this strategy requires further validation.”
BackgroundInfluentialKim, D., Kim, R. W., Kim, H. J., & Therneau, T. M. (2013) · Hepatology · doi:10.1002/hep.26156 · Cited by 772
Changing epidemiology, global trends and implications for outcomes of NAFLD
Wong, V. W.-S., Ekstedt, M., Wong, G. L.-H., & Hagström, H. (2023) · Journal of Hepatology · doi:10.1016/j.jhep.2023.04.036 · Cited by 765
Duell, P. B., Welty, F. K., Miller, M., Chait, A., Hammond, G., Ahmad, Z., Cohen, D. E., Horton, J. D., Pressman, G. S., Toth, P. P., et al. (2022) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atv.0000000000000153 · Cited by 727
NAFLD as a Continuum: From Obesity to Metabolic Syndrome and Diabetes
Godoy-Matos, A. F., Silva Júnior, W. S., & Valerio, C. M. (2020) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-020-00570-y · Cited by 643
“Among the scoring systems, FIB-4 index and NFS have been mostly studied and validated for estimative of fibrosis [66, 67].”
MethodNoninvasive biomarkers in NAFLD and NASH — current progress and future promise
Wong, V. W., Adams, L. A., de Lédinghen, V., Wong, G. L., & Sookoian, S. C. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0014-9 · Cited by 617
Gómez, E. V., & Chalasani, N. (2017) · Journal of Hepatology · doi:10.1016/j.jhep.2017.11.013 · Cited by 608
Jsg-Nafld, Eguchi, Y., Hyogo, H., Ono, M., Mizuta, T., Ono, N., Fujimoto, K., Chayama, K., & Saibara, T. (2012) · Journal of Gastroenterology · doi:10.1007/s00535-012-0533-z · Cited by 551
“30 had a 90% negative predictive value to predict NASH with advanced liver fibrosis [14, 15].”
BackgroundMethodRentsch, C. T., Kidwai‐Khan, F., Tate, J. P., Park, L. S., King, J. T., Skanderson, M., Hauser, R. G., Schultze, A., Jarvis, C. I., Holodniy, M., et al. (2020) · PLoS Medicine · doi:10.1371/journal.pmed.1003379 · Cited by 513
Mózes, F. E., Lee, J. A., Selvaraj, E. A., Jayaswal, A. N. A., Trauner, M., Boursier, J., Fournier, C., Staufer, K., Stauber, R. E., Bugianesi, E., et al. (2022) · Gut · doi:10.1136/gutjnl-2021-324243 · Cited by 556
High, K. P., Brennan-Ing, M., Clifford, D. B., Cohen, M. H., Currier, J., Deeks, S. G., Deren, S., Effros, R. B., Gebo, K., Goronzy, J. J., et al. (2012) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e31825a3668 · Cited by 522
“FIB 4 Index and Aminotransferase/Platelet Ratio Index These composite markers of liver injury have been repeatedly shown to indicate risk of liver fibrosis among those with HIV and HCV infections.(58) The FIB 4 Index is also clearly associated with risk of all-cause mortality and strongly predictive of incident hepato…”
BackgroundMethodComparison of MAFLD and NAFLD diagnostic criteria in real world
Lin, S., Huang, J., Wang, M.-F., Kumar, R., Liu, Y., Liu, S., Wu, Y., Wang, X., & Zhu, Y. (2020) · Liver International · doi:10.1111/liv.14548 · Cited by 513
Xiao, G., Yang, J., & Yan, L. (2014) · Hepatology · doi:10.1002/hep.27382 · Cited by 512
“Though we focus on monoHBV infection, there was observed heterogeneity in diagnostic accuracy of APRI and FIB-4.”
MethodInfluentialWang, K., Lu, X., Zhou, H., Gao, Y., Zheng, J., Tong, M., Wu, C., Liu, C., Huang, L., Jiang, T., et al. (2018) · Gut · doi:10.1136/gutjnl-2018-316204 · Cited by 510
Wong, V. W., Chu, C. W., Wong, G. L., Chan, R., Chim, A. M., Ong, A., Yeung, D. K., Yiu, K. K., Chu, S. H.-T., Woo, J., et al. (2011) · Gut · doi:10.1136/gutjnl-2011-300342 · Cited by 491
Obesity as a multisystem disease: Trends in obesity rates and obesity‐related complications
Sarma, S., Sockalingam, S., & Dash, S. (2021) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14290 · Cited by 485
AASLD practice guidance on primary sclerosing cholangitis and cholangiocarcinoma
Bowlus, C. L., Arrivé, L., Bergquist, A. M., Deneau, M. R., Forman, L., Ilyas, S. I., Lunsford, K. E., Martínez, M., Sapisochín, G., Shroff, R. T., et al. (2022) · Hepatology · doi:10.1002/hep.32771 · Cited by 453
Noninvasive assessment of liver fibrosis
Martínez, S. M., Crespo, G., Navasa, M., & Forns, X. (2010) · Hepatology · doi:10.1002/hep.24013 · Cited by 420
Bavu, É., Gennisson, J., Couade, M., Bercoff, J., Mallet, V. O., Fink, M., Badel, A., Vallet‐Pichard, A., Nalpas, B., Tanter, M., et al. (2011) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2011.05.016 · Cited by 422
“…transaminase to platelet ratio (APRI), Fib 4 or Forn’s score and morphologic tests such as FibroScan (FS, Echosens, Paris, France) (Trinchet 1995; Halfon et al. 2005; Wai et al. 2003; Forns et al. 2002; Imbert-Bismut et al. 2001; Ono et al. 1999; Sterling et al. 2006; Vallet-Pichard et al. 2007).”
BackgroundVergniol, J., Foucher, J., Terrebonne, É., Bernard, P., Bail, B. L., Merrouche, W., Couzigou, P., & de Lédinghen, V. (2011) · Gastroenterology · doi:10.1053/j.gastro.2011.02.058 · Cited by 411
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MAFLD identifies patients with significant hepatic fibrosis better than NAFLD
Yamamura, S., Eslam, M., Kawaguchi, T., Tsutsumi, T., Nakano, D., Yoshinaga, S., Takahashi, H., Anzai, K., George, J., & Torimura, T. (2020) · Liver International · doi:10.1111/liv.14675 · Cited by 401
“ALT (U/L) 19 (14-29) 4-122 22 (16-33) 4-188 .”
InfluentialBoursier, J., Vergniol, J., Guillet, A., Hiriart, J.-B., Lannes, A., Le Bail, B., Michalak, S., Chermak, F., Bertrais, S., Foucher, J., et al. (2016) · Journal of Hepatology · doi:10.1016/j.jhep.2016.04.023 · Cited by 400
“Eight blood fibrosis tests were calculated according to published or patented formulas: NFS (12), BARD (20), FibroMeter NAFLD (21), APRI (22), FIB4 (23), Fibrotest (24), Hepascore (25), and FibroMeter V2G (26).”
MethodInfluentialDiagnosis and Quantitation of Fibrosis
Manning, D. S., & Afdhal, N. H. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.03.001 · Cited by 398
Sanyal, A. J., Harrison, S. A., Ratziu, V., Abdelmalek, M. F., Diehl, A. M., Caldwell, S., Shiffman, M. L., Aguilar Schall, R., Jia, C., McColgan, B., et al. (2019) · Hepatology · doi:10.1002/hep.30664 · Cited by 390
“Serum fibrosis markers including the Enhanced Liver Fibrosis (ELF) test score (Siemens Healthcare, Erlangen, Germany), FibroSure (LabCorp, Burlington, NC)/FibroTest (Biopredictive, Paris, France), NAFLD fibrosis score, fibrosis-4 (FIB-4) index,(18) and aspartate aminotransferase-to-platelet ratio index (APRI)(19) were…”
MethodValidation of the FIB4 index in a Japanese nonalcoholic fatty liver disease population
Sumida, Y., Yoneda, M., Hyogo, H., Itoh, Y., Ono, M., Fujii, H., Eguchi, Y., Suzuki, Y., Aoki, N., Kanemasa, K., et al. (2012) · BMC Gastroenterology · doi:10.1186/1471-230x-12-2 · Cited by 388
Lemoine, M., Shimakawa, Y., Nayagam, S., Khalil, M., Suso, P., Lloyd, J., Goldin, R. D., Njai, H. F., Ndow, G., Taal, M. A., et al. (2015) · Gut · doi:10.1136/gutjnl-2015-309260 · Cited by 369
Blood Tests to Diagnose Fibrosis or Cirrhosis in Patients With Chronic Hepatitis C Virus Infection
Chou, R., & Wasson, N. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-158-11-201306040-00005 · Cited by 372
Non-alcoholic fatty liver disease: a practical approach to diagnosis and staging
Dyson, J. K., Anstee, Q. M., & McPherson, S. (2013) · Frontline Gastroenterology · doi:10.1136/flgastro-2013-100403 · Cited by 358
Corpechot, C., Carrat, F., Poujol-Robert, A., Gaouar, F., Wendum, D., Chazouillères, O., & Poupon, R. (2012) · Hepatology · doi:10.1002/hep.25599 · Cited by 351
“APRI and FIB-4 were calculated according to published formulas.(12,13) Serum HA concentration was measured by enzyme-linked immunosorbent assay (Corgenix, Broomfield, CO).”
Non-invasive diagnosis of liver fibrosis and cirrhosis
Lurie, Y. (2015) · World Journal of Gastroenterology · doi:10.3748/wjg.v21.i41.11567 · Cited by 374
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Association between non-alcoholic fatty liver disease and cancer incidence rate.
Kim, G.-A., Lee, H.-C., Choe, J., Kim, M.-J., Lee, M. J., Chang, H.-S., Bae, I. Y., Kim, H., An, J., Shim, J., et al. (2017) · Journal of Hepatology · doi:10.1016/j.jhep.2017.09.012 · Cited by 311
“45) serves as a strong predictor of the absence of liver fibrosis.(13)”
BackgroundMethodCassinotto, C., Lapuyade, B., Mouries, A., Hiriart, J., Vergniol, J., Gaye, D., Castain, C., Bail, B. L., Chermak, F., Foucher, J., et al. (2014) · Journal of Hepatology · doi:10.1016/j.jhep.2014.04.044 · Cited by 325
“These parameters were then used to calculate the aspartate-to-platelet ratio index (APRI) [15], the aspartate aminotransferase/alanine aminotransferase ratio index (AST/ALT) [16], the Forns index (Forns) [17], and the Fib-4 [18], according to the published formulas.”
MethodViral hepatitis and HIV coinfection
Sulkowski, M. (2007) · Journal of Hepatology · doi:10.1016/j.jhep.2007.11.009 · Cited by 319
“Currently a number of tests are available which can reliably separate patients with minimal fibrosis from those with cirrhosis but fail to clearly distinguish intermediate stages of fibrotic disease progression [41–45].”
BackgroundAjmera, V., Cepin, S., Tesfai, K., Hofflich, H., Cadman, K., Lopez, S., Madamba, E., Bettencourt, R., Richards, L., Behling, C., et al. (2023) · Journal of Hepatology · doi:10.1016/j.jhep.2022.11.010 · Cited by 327
Wei, J. L., Leung, J. C., Loong, T. C., Wong, G. L., Yeung, D. K., Chan, R., Chan, H. L., Chim, A. M., Woo, J., Chu, C. W., et al. (2015) · The American Journal of Gastroenterology · doi:10.1038/ajg.2015.235 · Cited by 317
Low Accuracy of FIB-4 and NAFLD Fibrosis Scores for Screening for Liver Fibrosis in the Population
Graupera, I., Thiele, M. S., Serra‐Burriel, M., Caballería, L., Roulot, D. M., Wong, G. L., Fabrellas, N., Guha, I. N., Arslanow, A., Expósito, C., et al. (2021) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2021.12.034 · Cited by 302
The Role of Insulin Resistance and Diabetes in Nonalcoholic Fatty Liver Disease
Fujii, H., Kawada, N., & Japan Study Group of NAFLD (JSG-NAFLD) (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21113863 · Cited by 308
“Conversely, a FIB-4 with a high cutoff value of 2.67 had a sensitivity of 22% in patients with T2DM and 0% in those without [80].”
MethodInfluentialKim, B. K., Kim, D. Y., Park, J. Y., Ahn, S. H., Chon, C. Y., Kim, J. K., Paik, Y. H., Lee, K. S., Park, Y. N., & Han, K. (2010) · Liver International · doi:10.1111/j.1478-3231.2009.02192.x · Cited by 297
“Firstly, there have been few studies assessing its diagnostic value in patients with CHB, because most studies have been performed primarily in western populations with HCV mono- or HCV/HIV-co-infection (18, 19, 21, 22).”
BackgroundMethodNon-Invasive markers for hepatic fibrosis
Baranova, A. V., Lal, P., Birerdinc, A., & Younossi, Z. M. (2011) · BMC Gastroenterology · doi:10.1186/1471-230x-11-91 · Cited by 299
Kim, W. R., Berg, T., Asselah, T., Flisiak, R., Fung, S. K., Gordon, S. C., Janssen, H. L. A., Lampertico, P., Lau, D., Bornstein, J. D., et al. (2015) · Journal of Hepatology · doi:10.1016/j.jhep.2015.11.012 · Cited by 297
Yang, J., Fernández‐Galilea, M., Martínez‐Fernández, L., González‐Muniesa, P., Pérez-Chávez, A., Martínez, J. A., & Moreno-Aliaga, M. J. (2019) · Nutrients · doi:10.3390/nu11040872 · Cited by 299
“FIB-4 index FIB-4 Score = age ([yr] × AST [U/L])/((PLT [109/L]) × (ALT [U/L])1/2) [101].”
BackgroundPlasma proteome profiling discovers novel proteins associated with non‐alcoholic fatty liver disease
Niu, L., Geyer, P. E., Albrechtsen, N. J. W., Gluud, L. L., Santos, A., Doll, S., Treit, P. V., Holst, J. J., Knop, F. K., Vilsbøll, T., et al. (2019) · Molecular Systems Biology · doi:10.15252/msb.20188793 · Cited by 280
“…of these enzymes are often combined with patient data such as age and platelet count in NAFLD severity indices such as the fibrosis-4 (FIB-4) index (Sterling et al , 2006) and with biomarkers in the case of fatty liver index (Bedogni et al , 2006), NAFLD liver fat score (Kotronen et al , 2009),…”
Diagnostic accuracy of noninvasive fibrosis models to detect change in fibrosis stage
Siddiqui, M. S., Yamada, G., Vuppalanchi, R., Van Natta, M., Loomba, R., Guy, C., Brandman, D., Tonascia, J., Chalasani, N., Neuschwander-Tetri, B., et al. (2019) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2018.12.031 · Cited by 272
Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease
Alexander, M., Loomis, A. K., Fairburn-Beech, J., van der Lei, J., Duarte‐Salles, T., Prieto‐Alhambra, D., Ansell, D., Pasqua, A., Lapi, F., Rijnbeek, P. R., et al. (2018) · BMC Medicine · doi:10.1186/s12916-018-1103-x · Cited by 273
Bachofner, J., Valli, P. V., Kröger, A., Bergamin, I., Künzler‐Heule, P., Baserga, A., Braun, D. L., Seifert, B., Moncsek, A., Fehr, J. S., et al. (2016) · Liver International · doi:10.1111/liv.13256 · Cited by 272
Thiele, M. S., Madsen, B. S., Hansen, J. F., Detlefsen, S., Antonsen, S., & Krag, A. A. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.01.005 · Cited by 272
Daniels, S. J., Leeming, D. J., Eslam, M., Hashem, A. M., Nielsen, M. J., Krag, A., Karsdal, M. A., Grove, J. I., Neil Guha, I., Kawaguchi, T., et al. (2019) · Hepatology · doi:10.1002/hep.30163 · Cited by 273
“(44) Similarly, platelet count is routinely measured and is strongly correlated with liver fibrosis and has been incorporated into multiple other noninvasive scoring systems.(10,12,14) A study by Mofrad et al.”
BackgroundMethodKASL clinical practice guidelines: Management of nonalcoholic fatty liver disease
Kang, S. H., Lee, H. W., Yoo, J., Cho, Y., Kim, S. U., Lee, T. H., Jang, B. K., Ahn, S. B., Ahn, S. B., Kim, H., et al. (2021) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2021.0178 · Cited by 276
“67, advanced liver fibrosis can be diagnosed (accuracy, 80%).(175) A recent study of subjects with biopsy-proven NAFLD showed that the diagnostic accuracy of the NFS and FIB-4 was significantly higher than that of other noninvasive panels for liver fibrosis and similar to that of MRE in diagnosing advanced liver fibro…”
BackgroundLiver fibrosis scores predict liver disease mortality in the United States population
Ünalp–Arida, A., & Ruhl, C. E. (2017) · Hepatology · doi:10.1002/hep.29113 · Cited by 261
“(40-42) A previous analysis of the NHANES III population with mortality follow-up through 2006 found higher overall and cardiovascular disease mortality in association with three of the same fibrosis scores among persons with suspected NAFLD.”
BackgroundMethodInfluentialZou, B., Yeo, Y. H., Nguyen, V. H., Cheung, R. C., Ingelsson, E., & Nguyen, M. H. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13069 · Cited by 250
Re, V. L., Kallan, M. J., Tate, J. P., Localio, A. R., Lim, J. K., Goetz, M. B., Klein, M. B., Rimland, D., Rodriguez‐Barradas, M. C., Butt, A. A., et al. (2014) · Annals of Internal Medicine · doi:10.7326/m13-1829 · Cited by 249
“Baseline FIB-4, a noninvasive measure of advanced hepatic fibrosis, was determined by: (age [years] × AST [U/L])/((platelet count [109/L]) × (ALT [U/L])1/2) (26).”
Noninvasive evaluation of nonalcoholic fatty liver disease: Current evidence and practice
Zhou, J., Cai, J., She, Z., & Li, H. (2019) · World Journal of Gastroenterology · doi:10.3748/wjg.v25.i11.1307 · Cited by 248
Guaraldi, G., Squillace, N., Stentarelli, C., Orlando, G., D’Amico, R., Ligabue, G., Fiocchi, F., Zona, S., Loria, P., Esposito, R., et al. (2008) · Clinical Infectious Diseases · doi:10.1086/589294 · Cited by 241
“The FIB-4 index was calculated as the putative predictor of liver fibrosis in a subgroup of patients in our cohort [20].”
MethodKabbany, M. N., Selvakumar, P. K. C., Watt, K. D. S., López, R., Akras, Z., Zein, N. N., Carey, W., & Alkhouri, N. (2017) · The American Journal of Gastroenterology · doi:10.1038/ajg.2017.5 · Cited by 241
Clinical and Metabolic Characterization of Lean Caucasian Subjects With Non-alcoholic Fatty Liver
Feldman, A., Eder, S. K., Felder, T. K., Kedenko, L., Paulweber, B., Stadlmayr, A., Huber-Schönauer, U., Niederseer, D., Stickel, F., Auer, S., et al. (2016) · The American Journal of Gastroenterology · doi:10.1038/ajg.2016.318 · Cited by 240
Lang, S., Duan, Y., Liu, J., Torralba, M., Kuelbs, C., Cots, M. V., Abraldeṣ, J. G., Bosques‐Padilla, F., Verna, E. C., Brown, R. S., et al. (2019) · Hepatology · doi:10.1002/hep.30832 · Cited by 239
“GGT (IU/L), n = 121 95 (15-1131) 257 (33-3632) <0.”
InfluentialSun, W., Cui, H., Li, N., Wei, Y., Lai, S., Yang, Y., Yin, X., & Chen, D. (2016) · Hepatology Research · doi:10.1111/hepr.12647 · Cited by 236
Wattacheril, J. J., Abdelmalek, M. F., Lim, J. K., & Sanyal, A. J. (2023) · Gastroenterology · doi:10.1053/j.gastro.2023.06.013 · Cited by 236
Advanced Fibrosis in Nonalcoholic Fatty Liver Disease: Noninvasive Assessment with MR Elastography
Kim, D., Kim, W. R., Talwalkar, J. A., Kim, H. J., & Ehman, R. L. (2013) · Radiology · doi:10.1148/radiol.13121193 · Cited by 229
A nationwide survey on non-B, non-C hepatocellular carcinoma in Japan: 2011–2015 update
Tateishi, R., Uchino, K., Fujiwara, N., Takehara, T., Okanoue, T., Seike, M., Yoshiji, H., Yatsuhashi, H., Shimizu, M., Torimura, T., et al. (2018) · Journal of Gastroenterology · doi:10.1007/s00535-018-1532-5 · Cited by 236
The Candida albicans exotoxin candidalysin promotes alcohol-associated liver disease
Chu, H., Duan, Y., Lang, S., Jiang, L., Wang, Y., Llorente, C., Liu, J., Mogavero, S., Bosques‐Padilla, F., Abraldeṣ, J. G., et al. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2019.09.029 · Cited by 238
Takahashi, K., Ono, N., Eguchi, Y., Eguchi, T., Kitajima, Y., Kawaguchi, Y., Nakashita, S., Ozaki, I., Mizuta, T., Toda, S., et al. (2009) · Liver International · doi:10.1111/j.1478-3231.2009.02130.x · Cited by 225
“To compare the diagnostic performance of ARFI elastography and commonly used biochemical index systems including APRI (9), Fib-4 index (29) and Forns’ index (30), the diagnostic performance was determined in terms of sensitivity, specificity and area under the ROC curves.”
MethodTwelve-Month Outcomes After Transplant of Hepatitis C–Infected Kidneys Into Uninfected Recipients
Reese, P. P., Abt, P. L., Blumberg, E. A., Deerlin, V. M. V., Bloom, R. D., Potluri, V. S., Levine, M. H., Porrett, P. M., Sawinski, D. L., Nazarian, S. M., et al. (2018) · Annals of Internal Medicine · doi:10.7326/m18-0749 · Cited by 225
Sterling, R. K., Duarte‐Rojo, A., Patel, K., Asrani, S. K., Alsawas, M., Dranoff, J. A., Fiel, M. I., Murad, M. H., Leung, D. H., Levine, D., et al. (2024) · Hepatology · doi:10.1097/hep.0000000000000843 · Cited by 232
Impact of non-invasive biomarkers on hepatology practice: past, present and future
Anstee, Q. M., Castera, L., & Loomba, R. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2022.03.026 · Cited by 224
Hendrikx, T., Porsch, F., Kiss, M. G., Rajcic, D., Papac-Miličević, N., Hoebinger, C., Goederle, L., Hladik, A., Shaw, L. E., Horstmann, H., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2022.06.004 · Cited by 220
Vali, Y., Lee, J., Boursier, J., Petta, S., Wonders, K., Tiniakos, D., Bedossa, P., Geier, A., Francque, S., Allison, M., et al. (2023) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(23)00017-1 · Cited by 224
“There were no significant differences in detecting advanced fibrosis between the two subgroups, with similar AUCs (appendix p 13).”
Predictive Accuracy of the Veterans Aging Cohort Study Index for Mortality With HIV Infection
Justice, A. C., Modur, S. P., Tate, J. P., Althoff, K. N., Jacobson, L. P., Gebo, K. A., Kitahata, M. M., Horberg, M. A., Brooks, J. T., Buchacz, K. A., et al. (2012) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e31827df36c · Cited by 222
“FIB-4, composed of AST, ALT, platelets, and age, has been validated as an indicator of liver fibrosis [FIB-4 = (years of age · AST)/(platelets in 100/ L · square root of ALT)].(31) eGFR, composed of serum creatinine age, gender, and race, was included as a validated indicator of impaired renal function [eGFR = 186.”
MethodDifferential Clinical Characteristics and Mortality Outcomes in Persons With NAFLD and/or MAFLD
Nguyen, V. H., Le, M. H., Cheung, R. C., & Nguyen, M. H. (2021) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2021.05.029 · Cited by 217
Choi, K. J., Jang, J. K., Lee, S. S., Sung, Y. S., Shim, W. H., Kim, H. S., Yun, J., Choi, J., Lee, Y., Kang, B.-K., et al. (2018) · Radiology · doi:10.1148/radiol.2018180763 · Cited by 226
Non-invasive diagnosis of advanced fibrosis and cirrhosis
Sharma, S. A. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i45.16820 · Cited by 214
The ALBI score: From liver function in patients with HCC to a general measure of liver function
Toyoda, H., & Johnson, P. J. (2022) · JHEP Reports · doi:10.1016/j.jhepr.2022.100557 · Cited by 221
Schwimmer, J. B., Newton, K. P., Awai, H. I., Choi, L., Garcia, M. A., Ellis, L., VanderWall, K. J., & Fontanesi, J. (2013) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.12518 · Cited by 212
Mohanty, A., Tate, J. P., & García–Tsao, G. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.10.007 · Cited by 209
“The FIB-4 index was calculated at baseline as follows: (age in years aspartate aminotransferase level in U/L)/(platelet count 10(9)/L) (ALT level in U/L).(16) Prior studies have shown that it is useful in ruling in cirrhosis in patients with chronic liver disease,(17)”
Gressner, O. A., Weiskirchen, R., & Gressner, A. M. (2007) · Clinica Chimica Acta · doi:10.1016/j.cca.2007.02.038 · Cited by 207
“ulin, age, gender HCV 63 89 [21] HCV 78 79 [39] HCV/HIV 70 74 [40]”
Feasibility of liver transient elastography with FibroScan® using a new probe for obese patients
de Lédinghen, V., Vergniol, J., Foucher, J., El-Hajbi, F., Merrouche, W., & Rigalleau, V. (2010) · Liver International · doi:10.1111/j.1478-3231.2010.02258.x · Cited by 205
“Liver International (2010) c 2010 John Wiley & Sons A/S 1045 Results presented in Table 3 show that, in the subset of patients who could be measured successfully with both probes, liver stiffness measurement obtained with the M probe correlated significantly with platelets count, PT, GGT, AST, ALT, fasting glucose, FI…”
MethodInfluentialNagata, H., Nakagawa, M., Asahina, Y., Sato, A., Asano, Y., Tsunoda, T., Miyoshi, M., Kaneko, S., Otani, S., Kawai‐Kitahata, F., et al. (2017) · Journal of Hepatology · doi:10.1016/j.jhep.2017.05.028 · Cited by 205
Justice, A. C., Freiberg, M. S., Tracy, R. P., Kuller, L. H., Tate, J., Goetz, M. B., Fiellin, D. A., Vanasse, G. J., Butt, A. A., Rodriguez‐Barradas, M. C., et al. (2012) · Clinical Infectious Diseases · doi:10.1093/cid/cir989 · Cited by 204
“Further, although there is growing evidence that FIB-4 is an excellent indicator of liver fibrosis among those with HIV and/or HCV infection [28, 29], its association with inflammation and all-cause mortality has not been previously reported.”
BackgroundCollagen biology and non‐invasive biomarkers of liver fibrosis
Karsdal, M. A., Daniels, S. J., Holm Nielsen, S., Bager, C., Rasmussen, D. G. K., Loomba, R., Surabattula, R., Villesen, I. F., Luo, Y., Shevell, D., et al. (2020) · Liver International · doi:10.1111/liv.14390 · Cited by 197
Limketkai, B. N., Mehta, S. H., Sutcliffe, C. G., Higgins, Y. M., Torbenson, M. S., Brinkley, S., Moore, R. D., Thomas, D. L., & Sulkowski, M. (2012) · JAMA · doi:10.1001/jama.2012.7844 · Cited by 202
Loomba, R. S., Cui, J. Y., Wolfson, T. J., Haufe, W. M., Hooker, J. C., Szeverenyi, N. M., Ang, B., Bhatt, A., Wang, K., Aryafar, H., et al. (2016) · The American Journal of Gastroenterology · doi:10.1038/ajg.2016.65 · Cited by 202
Boursier, J., Hagström, H., Ekstedt, M., Moreau, C., Bonacci, M., Cure, S., Ampuero, J., Nasr, P., Tallab, L., Canivet, C. M., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2021.12.031 · Cited by 206
Repeated FIB-4 measurements can help identify individuals at risk of severe liver disease
Hagström, H., Talbäck, M., Andreasson, A., Walldius, G., & Hammar, N. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.06.007 · Cited by 199
An internationally generalizable risk index for mortality after one year of antiretroviral therapy
Tate, J. P., Justice, A. C., Hughes, M. D., Bonnet, F., Reiss, P., Mocroft, A., Nattermann, J., Lampe, F. C., Bucher, H. C., Sterling, T. R., et al. (2012) · AIDS · doi:10.1097/qad.0b013e32835b8c7f · Cited by 201
“FIB-4, composed of AST, ALT, platelets and age, is a validated indicator of liver fibrosis [FIB41⁄4 (years of age AST)/(platelets in 100/l sqrt of ALT)] [21].”
BackgroundThompson, R. J., Arnell, H., Artan, R., Baumann, U., Calvo, P. L., Czubkowski, P., Dalgıç, B., D’Antiga, L., Durmaz, Ö., Fischler, B., et al. (2022) · The Lancet. Gastroenterology & hepatology · doi:10.1016/s2468-1253(22)00093-0 · Cited by 199
Younes, R., Caviglia, G. P., Govaere, O., Rosso, C., Armandi, A., Sanavia, T., Pennisi, G., Liguori, A., Francione, P., Gallego-Durán, R., et al. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2021.05.008 · Cited by 196
Ciardullo, S., & Perseghin, G. (2021) · Liver International · doi:10.1111/liv.14828 · Cited by 191
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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