Serum uric acid and the risk of major adverse cardiovascular events and death among older adults: a population-based prospective cohort study
Bibliographic record
Abstract
BACKGROUND: The relationship between serum uric acid (SUA) and adverse outcomes in advanced age remains poorly understood. Our population-based prospective cohort study assessed the potential association between SUA levels and the risk of major adverse cardiovascular events (MACE) and all-cause mortality among community-dwelling older adults. METHODS: We used data from the Berlin Initiative Study linked to administrative claims and vital statistics. Cohort members were followed from cohort entry (2009) until the occurrence of a study outcome or the end of the study period (2021). We created three exposure groups according to the baseline SUA distribution (in mg/dL; lower: 1.68–5.16, intermediate: 5.17–6.83, higher: 6.84-13.0); SUA levels were updated biennially. Time-dependent Cox models yielded hazard ratios (HRs) and 95% confidence intervals (CIs) of MACE and all-cause mortality adjusted for potential confounders. Sensitivity analyses addressed time-dependent confounding. RESULTS: Our cohort included 2,058 individuals (mean age 80 years, 53% female). Lower vs. intermediate SUA levels were not associated with the risk of MACE (HR, 1.16; 95% CI, 0.88–1.54) or all-cause mortality (HR, 1.06; 95% CI, 0.86–1.31). Higher vs. intermediate SUA levels were not associated with the risk of MACE (HR, 1.11; 95% CI, 0.85–1.45) but with an increased risk of all-cause mortality (HR, 1.26; 95% CI, 1.03–1.53). Sensitivity analyses showed no statistically significant associations between higher vs. intermediate SUA levels and the risk of mortality (HR [95% CI]: 1.09 [0.89–1.34] & 1.07 [0.86–1.34]). CONCLUSION: Lower or higher SUA levels are not associated with the risk of MACE or all-cause mortality in older adults.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".