Your browser doesn't support javascript.
loading
FibroBox: a novel noninvasive tool for predicting significant liver fibrosis and cirrhosis in HBV infected patients.
Lu, Xiao-Jie; Yang, Xiao-Jun; Sun, Jing-Yu; Zhang, Xin; Yuan, Zhao-Xin; Li, Xiu-Hui.
Affiliation
  • Lu XJ; Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
  • Yang XJ; Department of Infection, the First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China.
  • Sun JY; Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China.
  • Zhang X; Department of Medical Imaging, The Fourth People's Hospital of Huai'an, Huai'an, China.
  • Yuan ZX; Changchun Medical College, Changchun, Jilin China.
  • Li XH; Department of Hepatology, Hepatobiliary Disease Hospital of Jilin Province, Changchun, Jilin China.
Biomark Res ; 8: 48, 2020.
Article in En | MEDLINE | ID: mdl-33005419
ABSTRACT

BACKGROUND:

China is a highly endemic area of chronic hepatitis B (CHB). The accuracy of existed noninvasive biomarkers including TE, APRI and FIB-4 for staging fibrosis is not high enough in Chinese cohort.

METHODS:

Using liver biopsy as a gold standard, a novel noninvasive indicator was developed using laboratory tests, ultrasound measurements and liver stiffness measurements with machine learning techniques to predict significant fibrosis and cirrhosis in CHB patients in north and east part of China. We retrospectively evaluated the diagnostic performance of the novel indicator named FibroBox, Fibroscan, aspartate transaminase-to-platelet ratio index (APRI), and fibrosis-4 index (FIB-4) in CHB patients from Jilin and Huai'an (training sets) and also in Anhui and Beijing cohorts (validation sets).

RESULTS:

Of 1289 eligible HBV patients who had liver histological data, 63.2% had significant fibrosis and 22.5% had cirrhosis. In LASSO logistic regression and filter methods, fibroscan results, platelet count, alanine transaminase (ALT), prothrombin time (PT), type III procollagen aminoterminal peptide (PIIINP), type IV collagen, laminin, hyaluronic acid (HA) and diameter of spleen vein were finally selected as input variables in FibroBox. Consequently, FibroBox was developed of which the area under the receiver operating characteristic curve (AUROC) was significantly higher than that of TE, APRI and FIB-4 to predicting significant fibrosis and cirrhosis. In the Anhui and Beijing cohort, the AUROC of FibroBox was 0.88 (95% CI, 0.72-0.82) and 0.87 (95% CI, 0.83-0.91) for significant fibrosis and 0.87 (95% CI, 0.82-0.92) and 0.90 (95% CI, 0.85-0.94) for cirrhosis. In the validation cohorts, FibroBox accurately diagnosed 81% of significant fibrosis and 84% of cirrhosis.

CONCLUSIONS:

FibroBox has a better performance in predicting liver fibrosis in Chinese cohorts with CHB, which may serve as a feasible alternative to liver biopsy.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Biomark Res Year: 2020 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Biomark Res Year: 2020 Document type: Article Affiliation country:
...