The association between uric acid levels and different clinical manifestations of coronary artery disease
Bibliographic record
Abstract
AIMS: Uric acid (UA) has been associated with the presence and severity of coronary artery disease. To further assess the role of UA role in coronary artery disease, we investigated UA levels in both healthy asymptomatic middle-aged individuals and in different subgroups of hospitalized patients with suspected or definite myocardial infarction (MI). PATIENTS AND METHODS: The severity of coronary artery calcification (CAC) was examined in asymptomatic individuals (n=1039) using a noncontrast computed tomography scan. Hospitalized patients with suspected acute MI (n=772) were grouped according to troponin I (TnI) concentrations: (i) elevated TnI concentrations (>0.03 µg/l) with subdivision according to the type of MI and other clinical conditions associated with myocardial injury, or (ii) nonelevated TnI concentrations (≤0.03 µg/l). RESULTS: UA was not associated with the severity of CAC in asymptomatic individuals when adjusting for relevant risk factors. Patients with type 2 MI and patients with myocardial injury associated with conditions of myocardial ischemia showed significantly higher UA levels (0.390 mmol/l, P=0.002 and 0.400 mmol/l, P=0.001, respectively) than patients with type 1 MI (0.329 mmol/l), after adjusting for other risk factors. CONCLUSION: UA was not correlated with the severity of CAC in asymptomatic middle-aged individuals, and patients with type 2 MI or ischemic myocardial injury were shown to have higher UA levels than type 1 MI patients. This observation is concordant with the hypothesis that UA might be involved in the pathophysiological mechanisms leading to an imbalance in the oxygen supply/demand ratio in type 2 MI and ischemic myocardial injury.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".