Incident Atrial Fibrillation and the Risk of Stroke in Adults with Chronic Kidney Disease
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Patients with CKD have a high risk of atrial fibrillation. Both CKD and atrial fibrillation are associated with higher risk of stroke and death. However, the effect of incident atrial fibrillation on stroke risk among patients with CKD is unknown. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: ) without previously documented atrial fibrillation who had been in contact with health care in Stockholm, Sweden during 2006-2011. Incident atrial fibrillation was identified by administrative diagnostic codes in outpatient or inpatient care and treated as a time-updated exposure in the analysis of stroke and death risk. Stroke events and deaths were ascertained from regional and national registers with complete coverage. Covariates included demographics, comorbidities, therapeutic procedures, and medications. Multivariable Cox regression analysis and competing risk analysis (accounting for death) were used to estimate the association between incident atrial fibrillation and stroke. RESULTS: , respectively; 1388 (53.8 per 1000 person-years) cases of stroke and 5592 (205.1 per 1000 person-years) deaths occurred after incident atrial fibrillation compared with 6850 (16.6 per 1000 person-years) cases of stroke and 28,613 (67.5 per 1000 person-years) deaths during periods without atrial fibrillation. After adjustment, incident atrial fibrillation was associated with higher risk of stroke (hazard ratio, 2.00; 95% confidence interval, 1.88 to 2.14) and death (hazard ratio, 1.76; 95% confidence interval, 1.71 to 1.82). This was attributed to both ischemic stroke (hazard ratio, 2.11; 95% confidence interval, 1.96 to 2.28) and intracranial bleeds (hazard ratio, 1.64; 95% confidence interval, 1.42 to 1.90). Stroke risk was similar across all eGFR strata. In competing risk analyses accounting for death, the association between incident atrial fibrillation and stroke was attenuated but remained higher (subhazard ratio, 1.49; 95% confidence interval, 1.39 to 1.60). CONCLUSIONS: Patients with CKD who develop atrial fibrillation are at higher risk of stroke and death.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".