S1549 Baseline Characteristics and Risk Profiles of 1111 Patients with Primary Biliary Cholangitis (PBC) in Need of Second-Line Therapy
Bibliographic record
Abstract
Introduction: Ursodexoxycholic acid (UDCA) is the first-line treatment for primary biliary cholangitis (PBC). Up to 40% of patients receiving UDCA have an alkaline phosphatase (ALP) ≥ 1.67×ULN and are usually considered for second-line therapy to prevent progression. Cohort studies confirm that targeting normal ALP and bilirubin are better treatment goals. We examined patients who screen failed due to elevated ALP < 1.67xULN to further characterize this population, including presence of additional risk factors for progression. Methods: In 4 clinical trials with seladelpar from 2015 – 2022, 1111 patients with PBC were screened at 197 clinical sites in 27 countries after treatment with UDCA for ≥12 months, or intolerance to UDCA. ALP levels of ≥ 1.67×ULN were required for enrollment. We compared the baseline characteristics and risk profiles of patients enrolled (ALP ≥ 1.67×ULN) to those who screen failed due to ALP³ ULN, but < 1.67×ULN. We stratified using proportions with Enhanced Liver Fibrosis (ELF) values ≥ 10.0 or bilirubin levels > 0.6×ULN. The relationship of ELF and liver stiffness assessed with FibroScan® was confirmed when available. Results: The 1111 screened patients were predominantly female (94%) with a mean (SD) age of 57±9.5 years. Studies enrolled 54% of screened patients (n=603) (EN cohort) with a duration of PBC of 8±6.5 years and on a UDCA dose of 15±3.9 mg/kg/day (92% were on UDCA). Overall, 26% of patients (n=284) screen failed due to ALP > ULN, but < 1.67×ULN (SF Cohort). The most common reasons for screen failure in the remaining 20% of patients were ALT and AST >3xULN, ALP< 1xULN, and EGFR < 60. Meaningful differences in baseline values in the EN and SF cohorts were in ALP, GGT and ALT. Higher-risk bilirubin levels were present in 51.1% and 42.0% of EN and SF cohorts, respectively. Elevated risk based on ELF was identified in 43.2% of the EN and 27.2% of the SF cohorts. Liver stiffness was assessed in 66% of EN patients, and a mean liver stiffness of 9.7 kPa correlated with ELF (r = 0.50, P < 0.001). Conclusion: We found that in this large international cohort of UDCA treated PBC patients, clinical risk factors for disease progression were common in patients achieving ALP levels > ULN, but < 1.67×ULN. Consideration should be given to including this population in clinical research of second-line therapies with a goal of normalization of ALP (Figure 1).Figure 1.: Baseline characteristics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".