摘要
Background and Aims: Non-invasive evaluation of liver nec-roinflammation in patients with chronic liver disease is an un-met need in clinical practice.The diagnostic accuracy of transient elastography-based liver stiffness measurement(LSM)for liver fibrosis could be affected by liver necroinflam-mation,the latter of which could intensify stiffness of the liver.Such results have prompted us to explore the diagnosis potential of LSM for liver inflammation.Methods: Three cross-sectional cohorts of liver biopsy-proven chronic liver dis-ease patients were enrolled,including 1417 chronic hepatitis B(CHB)patients from 10 different medical centers,106 non-al-coholic steatohepatitis patients,and 143 patients with auto-immune-related liver diseases.Another longitudinal cohort of 14 entecavir treatment patients was also included.The re-ceiver operating characteristic(ROC)curve was employed to explore the diagnostic value of LSM.Results: In CHB patients,LSM value ascended with the increased severity of liver nec-roinflammation in patients with the same fibrosis stage.Such positive correlation between LSM and liver necroinflammation was also found in non-alcoholic steatohepatitis and autoim-mune-related liver diseases populations.Furthermore,the ROC curve exhibited that LSM could identify moderate and se-vere inflammation in CHB patients(area under the ROC curve as 0.779 and 0.838)and in non-alcoholic steatohepatitis pa-tients(area under the ROC curve as 0.826 and 0.871),respec-tively.Such moderate diagnostic value was also found in autoimmune-related liver diseases patients.In addition,in the longitudinal entecavir treated CHB cohort,a decline of LSM values was observed in parallel with the control of inflam-matory activity in liver.Conclusions: Our study implicates a diagnostic potential of LSM to evaluate the severity of liver necroinflammation in chronic liver disease patients.
基金
the National S&T Major Project for Infectious Diseases(2017ZX10201201,2017ZX10202202,2017ZX10302201 and 2017ZX10202203)
the project from Beijing Municipal Science & Technology Commission(Z161100000116047)
Project funded by China Postdoc-toral Science Foundation(2017M620544,2018T110014)
Project funded by Shenzhen Municipal Health Commission(SZSM201612071)