In:
Journal of Viral Hepatitis, Wiley, Vol. 26, No. S1 ( 2019-07), p. 42-49
Abstract:
Liver necroinflammation is the indicator for treating patients with chronic hepatitis B (CHB) infection. However, there is no suitable non‐invasive index for diagnosing liver necroinflammation. This study aimed to create a non‐invasive index to predict liver necroinflammation in patients who lack clear‐cut clinical inflammation parameters. Patients who were hepatitis B e antigen (HBeAg)‐negative and underwent liver histological diagnosis, had a normal or minimally increased alanine aminotransferase (ALT) level were enrolled. Liver necroinflammation was defined as histological active index ≥4. A logistic regression model (LRM) was established based on the parameters independently associated with liver necroinflammation. Of all 550 patients, 36.73% had necroinflammation. In patients with an abnormal ALT level, the rate of necroinflammation was 52.49%. The area under the curve (AUC) of the ALT level for predicting necroinflammation was 0.655 (95% confidence interval [CI], 0.609‐0.702), and that of the HBV DNA level ≥2000 IU/mL combined with an abnormal ALT level was 0.618. By using the LRM, the AUC improved to 0.769 (95% CI, 0.723‐0.815) with a Youden index of 0.519 and diagnostic accuracy of 75.3%. The cutoff value ≥0.7 in the LRM had a specificity of 97.4% and positive predictive value of 85.0% for predicting necroinflammation. By using the cutoff value 〈 0.15 in the LRM, the presence of necroinflammation could be excluded with a negative predictive value of 90.8%. This study indicated that the LRM can be used to effectively diagnose liver necroinflammation in HBeAg‐negative patients with CHB who have normal or minimally elevated ALT levels.
Type of Medium:
Online Resource
ISSN:
1352-0504
,
1365-2893
Language:
English
Publisher:
Wiley
Publication Date:
2019
detail.hit.zdb_id:
2007924-2