Risk Factors Associated With Atrial Fibrillation in Elderly Patients
Bibliographic record
Abstract
Background: Atrial fibrillation (AF) is the most common arrhythmia with a growing prevalence worldwide, especially in the elderly population. Patients with AF are at higher risk of serious life-threatening events and complications that may lead to long-term sequelae and reduce quality of life. The aim of our study was to examine the association of additional risk factors and comorbid medical conditions with AF in patients 65 years, or older. Methods: We performed a retrospective electronic medical record review of patients aged 65 years and older, who visited our internal medicine office between July 1, 2020 and June 30, 2021. Results: Among 2,433 patients, 418 patients (17.2%) had AF. Our analysis showed that for each unit increased in age, there was a 4.5% increase in the odds of AF (95% confidence interval (CI) 2.2-6.9%; P < 0.001). Compared to patients of Caucasian descent, African-American patients had significantly decreased odds of AF (odds ratio (OR) 0.274, 95% CI 0.141 - 0.531; P < 0.001). Patients with hypertension had 2.241 greater odds of AF (95% CI 1.421 - 3.534; P = 0.001). Additional comorbidities with significantly greater odds of AF included other cardiac arrhythmias (OR 2.523, 95% CI 1.720 - 3.720; P < 0.001), congestive heart failure (OR 3.111, 95% CI 1.674 - 5.784; P < 0.001), osteoarthritis (OR 3.014, 95% CI 2.138 - 4.247; P < 0.001), liver disease (OR 2.129, 95% CI 1.164 - 3.893; P = 0.014), and colorectal disease (OR 1.500 95% CI 1.003 - 2.243; P = 0.048). Comorbidities with significantly decreased odds of AF included other rheumatological disorder (OR 0.144, 95% CI 0.086 - 0.243; P < 0.001), non-steroidal anti-inflammatory drugs (NSAIDs) use (OR 0.206, 95% CI 0.125 - 0.338; P < 0.001), and corticosteroid use (OR 0.553, 95% CI 0.374 - 0.819; P = 0.003). Conclusions: Increasing age, hypertension, presence of other cardiac arrhythmias, congestive heart failure, osteoarthritis, liver disease, and colorectal disease are associated with increased odds of having AF.
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 | 0.000 | 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".