Abstract 13807: Sex Differences in Patients Characteristics, Risk Factors, and Symptomatology in Older Adults With Pulmonary Embolism: Findings From the SERIOUS-PE Study
Bibliographic record
Abstract
Background: Biological sex is linked with pulmonary embolism (PE) disease presentation in young patients, such as the risk incurred by pregnancy. Whether sex differences exist in PE presentation, co-morbidities, risk factors, and symptomatology in older adults, the age group in which most of these events occur, remains unknown. Methods: We identified older adults (aged ≥65 years) with PE in a large international PE registry that is replete with granular clinical information about clinical characteristics and PE symptoms (RIETE registry, 2001-2021). To provide national data from the USA, we assessed sex differences in risk factors and clinical characteristics of US Medicare beneficiaries with PE (2001-2019). Results: The majority of older adults with PE in RIETE (19,294/ 33,462, 57.7%) and in Medicare database (551,492/ 948,823, 58.7%) were women (Panel A). Compared with men, women with PE less frequently had atherosclerotic diseases, obstructive lung disease, cancer, or unprovoked PE, but more frequently had a varicose veins, depression, prolonged immobility, or history of hormonal therapy (P<0.001 for all, Panel B). Compared with men, women less often presented with chest pain (37.3% vs 40.6%) or with hemoptysis (2.4% vs 5.6%), but more often presented with dyspnea (84.6% vs 80.9%) (P<0.001 for all). The proportions of patients with syncope (16.4% vs 15.9%) and patients with simplified Pulmonary Embolism Severity Index >0 (76.3% vs 75.0%) were comparable. Conclusions: In routine practice, elderly women constitute the largest proportion of patients with PE. Sex differences exist in risk factors and clinical presentation of older adults with PE, with cancer and cardiovascular disease being more common in men; and transient provoking factors such as immobility or hormone therapy being more common in women. Whether such differences correlate with disparities in treatment, or differences in short- or long-term clinical outcomes warrant further investigation.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".