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Dataset Information

Prediction Model of HBsAg Seroclearance in Patients with Chronic HBV Infection.


ABSTRACT:

Background

Prediction of HBsAg seroclearance, defined as the loss of circulating HBsAg with or without development of antibodies for HBsAg in patients with chronic hepatitis B (CHB), is highly difficult and challenging due to its low incidence. This study is aimed at developing and validating a nomogram for prediction of HBsAg loss in CHB patients.

Methods

We analyzed a total of 1398 patients with CHB. Two-thirds of the patients were randomly assigned to the training set (n = 918), and one-third were assigned to the validation set (n = 480). Univariate and multivariate analysis by Cox regression analysis was performed using the training set, and the nomogram was constructed. Discrimination and calibration were performed using the training set and validation set

SUBMITTER: Cao J 

PROVIDER: S-EPMC7443222 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature