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Activity Number: 320 - Innovative Approaches for Modeling Time-to-Event Data in the Presence of Competing Risks and/or Time-Varying Covariates
Type: Topic Contributed
Date/Time: Tuesday, August 9, 2022 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #320850
Title: Modeling Severe Liver Disease Outcomes and History of FIB-4 in the Presence of Competing Risks and Time-Varying Covariates
Author(s): Mulugeta Gebregziabher* and Andrew D Schreiner and Jingwen Zhang and David G Koch and Patrick D Mauldin and William P Moran
Companies: Medical University of South Carolina and MUSC and MUSC and MUSC and MUSC and MUSC
Keywords: Cox model; Competing risk; C-statistic; FIB-4; Severe Liver Disease; Time varying covariate
Abstract:

Advanced fibrosis from chronic liver disease (CLD) is associated with severe liver disease (SLD) outcomes. History of Fibrosis-4 (FIB-4) can be used to reliably assess the risk of fibrosis in patients with CLD diagnoses. We examined the association of history of FIB-4 and the incidence of SLD with CLD diagnoses after the index FIB-4 and death as competing risks. Since standard Cox model can’t be used, we examined modified Cox regression models to study the association between SLD as a time-to-event outcome and FIB-4 as a time varying covariate in the presence of competing events. A comparisons among modified Cox regression models was made using C-statistics, explained variation and AIC/BIC. We demonstrated their applications to the analysis of data from a retrospective cohort (2007-2018) of primary care patients from electronic health records and their longitudinal FIB-4 scores. The findings of this study have critically important implications to the diagnosis and treatment of liver disease patients in a primary care setting.


Authors who are presenting talks have a * after their name.

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