Kidney Stones and Cardiovascular Events
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Kidney stones are common in general clinical practice, and their prevalence is increasing. Kidney stone formers often have risk factors associated with atherosclerosis, but it is uncertain whether having a kidney stone is associated with higher risk of cardiovascular events. This study sought to assess the association between one or more kidney stones and the subsequent risk of cardiovascular events. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Cohort study of 3,195,452 people aged≥18 years registered in the universal health care system in Alberta, Canada, between 1997 and 2009 (median follow-up of 11 years). People undergoing dialysis or with a kidney transplant at baseline were excluded. The primary outcome was the first acute myocardial infarction (AMI) during follow-up. We also considered other cardiovascular events, including death due to coronary heart disease, percutaneous transluminal coronary angioplasty (PTCA), coronary artery bypass grafting (CABG), and stroke. RESULTS: In total, 25,532 (0.8%) participants had at least one kidney stone, and 91,465 (3%) individuals had at least one cardiovascular event during follow-up. Compared with people without kidney stones and after adjustment for cardiovascular risk factors and other potential confounders, people who had at least one kidney stone had a higher risk of subsequent AMI (adjusted hazard ratio [HR], 1.40; 95% confidence interval [95% CI], 1.30 to 1.51), PTCA/CABG (HR, 1.63; 95% CI, 1.51 to 1.76), and stroke (HR, 1.26; 95% CI, 1.12 to 1.42). The magnitude of the excess risk associated with a kidney stone appeared more pronounced for younger people than for older people (P<0.001) and for women than men (P=0.01). CONCLUSIONS: The occurrence of a kidney stone is associated with a higher risk of cardiovascular events, including AMI, PTCA/CABG, and stroke.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".