Liver Function Abnormalities and Outcome in Patients with Chronic Heart Failure: Data from the Candesartan in Heart Failure: Assessment of Reduction in Mortality and Morbidity (CHARM) Program
Why this work is in the frame
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Bibliographic record
Abstract
AIMS: The prevalence and importance of liver function test (LFT) abnormalities in a large contemporary cohort of heart failure patients have not been systematically evaluated. METHODS AND RESULTS: We characterized the LFTs of 2679 patients with symptomatic chronic heart failure from the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity program (CHARM). We used multivariable modelling to assess the relationships between baseline LFT values and long-term outcomes. Liver function test abnormalities were common in patients with chronic heart failure, ranging from alanine aminotransferase elevation in 3.1% of patients to low albumin in 18.3% of patients; total bilirubin was elevated in 13.0% of patients. In multivariable analysis, elevated total bilirubin was the strongest LFT predictor of adverse outcome for both the composite outcome of cardiovascular death or heart failure hospitalization (HR 1.21 per 1 SD increase, P<0.0001) and all-cause mortality (HR 1.19 per 1 SD increase, P<0.0001). Even after adjustment for other variables, elevated total bilirubin was one of the strongest independent predictors of poor prognosis (by global chi-square). CONCLUSION: Bilirubin is independently associated with morbidity and mortality. Changes in total bilirubin may offer insight into the underlying pathophysiology of chronic heart failure.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it