{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["14(12)"],"submitter":["Ritter TE"],"pubmed_abstract":["<b>Aim:</b> To assess the predictive effect of threshold deviations for multiple liver biomarkers on negative clinical outcomes, including hepatic decompensation, liver transplantation, and death in patients with primary biliary cholangitis (PBC) using longitudinal data from a large administrative claims database. <b>Materials & methods:</b> A time-dependent Cox proportional hazards model with time-dependent covariates assessed time to first occurrence of hospitalization for hepatic decompensation, liver transplantation, or death in patients with PBC in the Optum Clinformatics Data Mart™ database. Separate models analyzed proportion of time outside prespecified biomarker thresholds (defined as multiples of upper limit of normal [ULN] for alkaline phosphatase [ALP], total bilirubin [TB], as"],"journal":["Journal of comparative effectiveness research"],"pagination":["e240198"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12679663"],"repository":["biostudies-literature"],"pubmed_title":["Association of liver biomarker values beyond current thresholds and negative clinical outcomes in primary biliary cholangitis: analysis of a real-world healthcare claims database."],"pmcid":["PMC12679663"],"pubmed_authors":["Hanson CJ","Wheeler D","Mercer D","Kowdley KV","Ritter TE","Fernandes C","Mayne T","Ness E","Parzynski CS","MacEwan JP","Zhao X"],"additional_accession":[]},"is_claimable":false,"name":"Association of liver biomarker values beyond current thresholds and negative clinical outcomes in primary biliary cholangitis: analysis of a real-world healthcare claims database.","description":"<b>Aim:</b> To assess the predictive effect of threshold deviations for multiple liver biomarkers on negative clinical outcomes, including hepatic decompensation, liver transplantation, and death in patients with primary biliary cholangitis (PBC) using longitudinal data from a large administrative claims database. <b>Materials & methods:</b> A time-dependent Cox proportional hazards model with time-dependent covariates assessed time to first occurrence of hospitalization for hepatic decompensation, liver transplantation, or death in patients with PBC in the Optum Clinformatics Data Mart™ database. Separate models analyzed proportion of time outside prespecified biomarker thresholds (defined as multiples of upper limit of normal [ULN] for alkaline phosphatase [ALP], total bilirubin [TB], as","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-05T22:29:27.391Z","creation":"2026-05-22T03:16:11.838Z"},"accession":"S-EPMC12679663","cross_references":{"pubmed":["41251604"],"doi":["10.57264/cer-2024-0198"]}}