English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In patients with primary biliary cholangitis (PBC), the serum liverbiochemistry measured during treatment with ursodeoxycholic acid (the UDCAresponse) accurately predicts long-term outcome. In this study we sought to useliver biochemistry, and in particular alkaline phosphatase (ALP), as asurrogate marker of disease activity, for phenotypic stratification in PBCusing a computational modelling approach. Our aim here was to identify distinctdisease subgroups of patients with distinct disease trajectories. Methods: Weused longitudinal ALP results from 1,601 PBC patients on first line treatmentwith UDCA, and applied latent class mixed modelling (LCMM), to identifydistinct phenotypic subgroups, each with distinct disease trajectories, andrisks of end stage liver disease (ESLD). Results: We identified four welldiscriminated phenotypic subgroups within our PBC cohort, each with distinctdisease trajectories.

Latent class mixed modelling for phenotypic stratification of primary biliary cholangitis patients on first line treatment