Abstract 11097: Racial Differences in Clinical Outcomes in Elderly Patients With Atrial Fibrillation
Bibliographic record
Abstract
Introduction: Atrial fibrillation (AF) is associated with stroke and death, but the effect of race on these outcomes is not known. Methods: Medicare administrative data from 2010-2011 were used to identify patients with newly diagnosed AF who were categorized based on race as white, black and Hispanic. Racial differences in the primary outcome of death and secondary outcomes of stroke and the composite of stroke and death were assessed using Cox proportional hazard models. Results: Among 517,941 patients with newly diagnosed AF, 452,986 (87%) were whites, 36,425 (7%) were blacks and 28,530 (6%) were Hispanics. The mean age was 79 ± 8 years and 40.5% were males. Over a mean follow-up period of 0.9 years per patient, 68,250 (15.1%) whites, 7665 (20%) blacks and 4814 (16.9%) Hispanics died. Stroke was diagnosed in 6,509 (1.4%) whites, 843 (2.3%) blacks and 507 (1.8%) Hispanics. Compared to whites, blacks had a significantly higher hazard of death (Hazard Ratio [HR] =1.43; 95% CI 1.40-1.47; p<0.001), stroke (HR=1.69; 95% CI 1.57-1.81; p<0.001), and the composite outcome (HR= 1.46; 95% CI 1.43-1.49; p<0.001). After controlling for pre-existing co-morbidities, the higher hazard of death (HR 0.99; 95% CI 0.97-1.01; p=0.41) and the composite outcome (HR=1.02; 95% CI 0.99-1.04; p=0.135) in blacks were eliminated and the relative hazard of stroke (HR=1.44; 95% CI 1.34-1.55; p<0.001) was reduced compared to the whites. Similarly, Hispanics had a higher risk of death (HR= 1.13; 95% CI 1.10-1.17; p<0.001), stroke (HR=1.26; 95% CI, 1.15-1.38; p<0.001) and the composite outcome (HR= 1.15; 95% CI 1.12-1.18; p<0.001), as compared to whites. The relative hazard of death and the composite outcome were noted to be lower in Hispanics, compared to whites, after controlling for pre-existing co- morbidities (HR= 0.93; 95% CI 0.92-0.96; p<0.001 and HR= 0.95; 95% CI 0.92-0.97; p<0.001 respectively). The relative hazard of stroke was also attenuated (HR=1.15; 95% CI 1.05-1.26; p=0.002). Conclusions: In an elderly Medicare population with newly diagnosed AF, the risks of death and stroke are higher in blacks and Hispanics, as compared to whites. This is likely due to increased co-morbidities in blacks and Hispanics.
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 | 0.003 |
| 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) | 0.003 | 0.001 |
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".