OBJECTIVE: The aim of the present study was to establish noninvasive diagnostic models for liver fibrosis and assess their predictive accuracy (AC). METHODS: A total of 349 patients with chronic hepatitis B virus infection were evaluated, who underwent liver biopsy and pathologic examination at Beijing Ditan Hospital affiliated to Capital Medical University. Patients were subdivided in disease-immune tolerant (n = 125) and immune reactive HBeAg positive (n = 224) groups. Diagnostic models were based on independent markers of liver fibrosis. Receiver operating characteristic (ROC) curves were used to set cutoff values and determine the diagnostic value of the models. RESULTS: Wang I and Wang II models were constructed using independent disease markers. Wang I model cutoff values ≤ 1.75 and > 5.84 were used to identify patients in the immune tolerant phase with or without significant fibrosis. The area under the ROC curve (AUC) for this model was 0.866 (95% CI, 0.790, 0.942) and an AC of 92.0% was obtained. Wang II model cutoff values ≤ 3.79 and > 7.06 were used to identify immune reactive HBeAg-positive patients with or without significant fibrosis. AUC was 0.872 (95% CI, 0.824, 0.920), with an AC of 88.0%. CONCLUSIONS: Both Wang models enabled noninvasive liver fibrosis assessment with reliable predictive power and reproducibility for diagnosis of fibrosis in immune tolerant and immune reactive HBeAg-positive patients. With further development, these models may provide a clinical alternative to liver biopsy.
OBJECTIVE: The aim of the present study was to establish noninvasive diagnostic models for liver fibrosis and assess their predictive accuracy (AC). METHODS: A total of 349 patients with chronic hepatitis B virus infection were evaluated, who underwent liver biopsy and pathologic examination at Beijing Ditan Hospital affiliated to Capital Medical University. Patients were subdivided in disease-immune tolerant (n = 125) and immune reactive HBeAg positive (n = 224) groups. Diagnostic models were based on independent markers of liver fibrosis. Receiver operating characteristic (ROC) curves were used to set cutoff values and determine the diagnostic value of the models. RESULTS: Wang I and Wang II models were constructed using independent disease markers. Wang I model cutoff values ≤ 1.75 and > 5.84 were used to identify patients in the immune tolerant phase with or without significant fibrosis. The area under the ROC curve (AUC) for this model was 0.866 (95% CI, 0.790, 0.942) and an AC of 92.0% was obtained. Wang II model cutoff values ≤ 3.79 and > 7.06 were used to identify immune reactive HBeAg-positive patients with or without significant fibrosis. AUC was 0.872 (95% CI, 0.824, 0.920), with an AC of 88.0%. CONCLUSIONS: Both Wang models enabled noninvasive liver fibrosis assessment with reliable predictive power and reproducibility for diagnosis of fibrosis in immune tolerant and immune reactive HBeAg-positive patients. With further development, these models may provide a clinical alternative to liver biopsy.
Authors: Xavier Forns; Sergi Ampurdanès; Josep M Llovet; John Aponte; Llorenç Quintó; Eva Martínez-Bauer; Miquel Bruguera; Jose Maria Sánchez-Tapias; Juan Rodés Journal: Hepatology Date: 2002-10 Impact factor: 17.425
Authors: Leon A Adams; Max Bulsara; Enrico Rossi; Bastiaan DeBoer; David Speers; Jacob George; James Kench; Geoffrey Farrell; Geoffrey W McCaughan; Gary P Jeffrey Journal: Clin Chem Date: 2005-07-28 Impact factor: 8.327
Authors: Catherine M N Croagh; Sally J Bell; John Slavin; Yu X G Kong; Robert Y Chen; Stephen Locarnini; Paul V Desmond Journal: Liver Int Date: 2010-05-21 Impact factor: 5.828
Authors: Rong-Qi Wang; Qing-Shan Zhang; Su-Xian Zhao; Xue-Min Niu; Jing-Hua Du; Hui-Juan Du; Yue-Min Nan Journal: J Int Med Res Date: 2016-11-11 Impact factor: 1.671