The Effect of Years-Long Exposure to Low-Dose Colchicine on Renal and Liver Function and Blood Creatine Kinase Levels: Safety Insights from the Low-Dose Colchicine 2 (LoDoCo2) Trial
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: The Low-Dose Colchicine-2 (LoDoCo2) trial showed that 2-4 years exposure to colchicine 0.5 mg once daily reduced the risk of cardiovascular events in patients with chronic coronary artery disease. The potential effect of years-long exposure to colchicine on renal or liver function and creatine kinase (CK) has not been systematically evaluated and was investigated in this LoDoCo2 substudy. METHODS: Blood samples drawn from 1776 participants at the close-out visit of the LoDoCo2 trial were used to measure markers of renal function (creatinine, blood urea nitrogen [BUN]), liver function (alanine aminotransferase [ALT], γ-glutamyl transferase [GGT], bilirubin and albumin), and CK. Renal and liver function as well as hyperCKemia (elevated CK) were categorized to the degree of elevation biomarkers as mild, mild/moderate, moderate/severe, and marked elevations. RESULTS: In total, 1776 participants (mean age 66.5 years, 72% male) contributed to this analysis, with a median exposure to trial medication of 32.7 months. Compared with placebo, colchicine was not associated with changes in creatinine and BUN but was associated with elevations in ALT (30 U/L vs. 26 U/L; p < 0.01) and CK (123 U/L vs. 110 U/L; p < 0.01). Most elevations in ALT and CK were mild in both treatment groups. There were no moderate to marked ALT elevations (> 5-10 × upper limit of normal [ULN]) in both treatment groups, and 6 (0.7%) colchicine-treated vs. 2 (0.2%) placebo-treated participants had moderate to marked CK elevations (> 5-10 × ULN). CONCLUSION: In chronic coronary artery disease, 2-4 years of exposure to colchicine 0.5 mg once daily was associated with small elevations in ALT and CK, but was not associated with changes in renal function. TRIAL REGISTRATION: https://www.anzctr.org.au ; ACTRN12614000093684, 24 January 2014.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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