Accuracy of Noninvasive Scoring Systems in Assessing Risk of Death and Liver-Related Endpoints in Patients With Nonalcoholic Fatty Liver Disease
Tài liệu tham khảo
Younossi, 2018, Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention, Nat Rev Gastroenterol Hepatol, 15, 11, 10.1038/nrgastro.2017.109
Loomba, 2013, The global NAFLD epidemic, Nat Rev Gastroenterol Hepatol, 10, 686, 10.1038/nrgastro.2013.171
Chalasani, 2018, The diagnosis and management of nonalcoholic fatty liver disease: practice guidance from the American Association for the Study of Liver Diseases, Hepatology, 67, 328, 10.1002/hep.29367
Younossi, 2016, Global epidemiology of nonalcoholic fatty liver disease: meta-analytic assessment of prevalence, incidence, and outcomes, Hepatology, 64, 73, 10.1002/hep.28431
Hagstrom, 2017, Fibrosis stage but not NASH predicts mortality and time to development of severe liver disease in biopsy-proven NAFLD, J Hepatol, 67, 1265, 10.1016/j.jhep.2017.07.027
Ekstedt, 2015, Fibrosis stage is the strongest predictor for disease-specific mortality in NAFLD after up to 33 years of follow-up, Hepatology, 61, 1547, 10.1002/hep.27368
Angulo, 2015, Liver fibrosis, but no other histologic features, associates with long-term outcomes of patients with nonalcoholic fatty liver disease, Gastroenterology, 149, 389, 10.1053/j.gastro.2015.04.043
Stepanova, 2013, Predictors of all-cause mortality and liver-related mortality in patients with non-alcoholic fatty liver disease (NAFLD), Digest Dis Sci, 58, 3017, 10.1007/s10620-013-2743-5
Dulai, 2017, Increased risk of mortality by fibrosis stage in non-alcoholic fatty liver disease: systematic review and meta-analysis, Hepatology, 65, 1557, 10.1002/hep.29085
McPherson, 2010, Simple non-invasive fibrosis scoring systems can reliably exclude advanced fibrosis in patients with non-alcoholic fatty liver disease, Gut, 59, 1265, 10.1136/gut.2010.216077
Angulo, 2013, Simple noninvasive systems predict long-term outcomes of patients with nonalcoholic fatty liver disease, Gastroenterology, 145, 782, 10.1053/j.gastro.2013.06.057
Treeprasertsuk, 2013, NAFLD fibrosis score: a prognostic predictor for mortality and liver complications among NAFLD patients, World J Gastroenterol, 19, 1219, 10.3748/wjg.v19.i8.1219
Sebastiani, 2015, Prognostic value of non-invasive fibrosis and steatosis tools, hepatic venous pressure gradient (HVPG) and histology in nonalcoholic steatohepatitis, PLoS One, 10, e0128774, 10.1371/journal.pone.0128774
Le, 2017, Prevalence of non-alcoholic fatty liver disease and risk factors for advanced fibrosis and mortality in the United States, PLoS One, 12, e0173499, 10.1371/journal.pone.0173499
Unalp-Arida, 2017, Liver fibrosis scores predict liver disease mortality in the United States population, Hepatology, 66, 84, 10.1002/hep.29113
Kleiner, 2005, Design and validation of a histological scoring system for nonalcoholic fatty liver disease, Hepatology, 41, 10.1002/hep.20701
Bedossa, 2014, Utility and appropriateness of the fatty liver inhibition of progression (FLIP) algorithm and steatosis, activity, and fibrosis (SAF) score in the evaluation of biopsies of nonalcoholic fatty liver disease, Hepatology, 60, 565, 10.1002/hep.27173
Ekstedt, 2006, Long-term follow-up of patients with NAFLD and elevated liver enzymes, Hepatology, 44, 865, 10.1002/hep.21327
Sterne, 2009, Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls, BMJ, 338, b2393, 10.1136/bmj.b2393
Angulo, 2007, The NAFLD fibrosis score: a noninvasive system that identifies liver fibrosis in patients with NAFLD, Hepatology, 45, 846, 10.1002/hep.21496
Harrison, 2008, Development and validation of a simple NAFLD clinical scoring system for identifying patients without advanced disease, Gut, 57, 1441, 10.1136/gut.2007.146019
Sterling, 2006, Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection, Hepatology, 43, 1317, 10.1002/hep.21178
Wai, 2003, A simple noninvasive index can predict both significant fibrosis and cirrhosis in patients with chronic hepatitis C, Hepatology, 38, 518, 10.1053/jhep.2003.50346
Ludvigsson, 2011, External review and validation of the Swedish national inpatient register, BMC Public Health, 11, 450, 10.1186/1471-2458-11-450
Brooke, 2017, The Swedish cause of death register, Eur J Epidemiol, 32, 765, 10.1007/s10654-017-0316-1
Barlow, 2009, The completeness of the Swedish Cancer Register: a sample survey for year 1998, Acta Oncol, 48, 27, 10.1080/02841860802247664
Harrell, 1984, Regression modelling strategies for improved prognostic prediction, Stat Med, 3, 143, 10.1002/sim.4780030207
McPherson, 2017, Age as a confounding factor for the accurate non-invasive diagnosis of advanced NAFLD fibrosis, Am J Gastroenterol, 112, 740, 10.1038/ajg.2016.453
Castera, 2013, Noninvasive evaluation of NAFLD, Nat Rev Gastroenterol Hepatol, 10, 666, 10.1038/nrgastro.2013.175
Kim, 2013, Association between noninvasive fibrosis markers and mortality among adults with nonalcoholic fatty liver disease in the United States, Hepatology, 57, 1357, 10.1002/hep.26156
Xun, 2014, Non-alcoholic fatty liver disease (NAFLD) fibrosis score predicts 6.6-year overall mortality of Chinese patients with NAFLD, Clin Exp Pharmacol Physiol, 41, 643
Yoshihisa, 2018, Liver fibrosis score predicts mortality in heart failure patients with preserved ejection fraction, ESC Heart Fail, 5, 262, 10.1002/ehf2.12222
Guha, 2008, Noninvasive markers of fibrosis in nonalcoholic fatty liver disease: validating the European Liver Fibrosis Panel and exploring simple markers, Hepatology, 47, 455, 10.1002/hep.21984
Lykiardopoulos, 2016, Development of serum marker models to increase diagnostic accuracy of advanced fibrosis in nonalcoholic fatty liver disease: the new LINKI algorithm compared with established algorithms, PLoS One, 11, e0167776, 10.1371/journal.pone.0167776