Seasonal Variation In the Occurrence of Venous Thromboembolism In Canada
Bibliographic record
Abstract
Abstract Abstract 5120 Background. The evidence in support of a seasonal variation in the occurrence of venous thromboembolism (VTE) is conflicting and based on studies of mostly small or moderate size, often single centered and moreover, have never included data from Canada which has clearly-defined seasons with wide temperature differences between winter and summer months. Objectives. We used discharge data from a population-level hospital registry to assess the occurrence of a seasonal pattern in hospital admissions with VTE (deep vein thrombosis (DVT) or pulmonary embolism (PE)), DVT alone and PE alone in the province of Quebec, Canada. Methods. Using data from the province of Quebec's hospital discharge database (Med-Echo) which systematically records information on all hospital admissions in Quebec since 1967, we constructed a retrospective cohort of all individuals who had a first-time discharge diagnosis of DVT or PE between January 1, 1996 and December 31, 2004 and no prior discharge diagnosis for DVT or PE back to 1983. DVT and PE were defined based on the International Classification of Diseases, 9th edition, Clinical Modification. VTE cases were grouped according to season and month of occurrence, and statistical significance of seasonal variation was determined using the Edwards' and Walter & Elwood test. Results. The cohort comprised of 45,588 (26,076 (57%) women and 19,512 (43%) men) admitted patients with incident VTE. The mean age was 62.5 years (SD 17.6) and 26,537 (58%) patients had DVT alone, 12,758 (28%) had PE alone and 6,239 (14%) had DVT with PE. Data by season showed a statistically significant difference with the lowest proportion of hospital VTE admissions in summer months (24.1%) and highest in winter (25.9%) months (p<0.0001). Seasonal variation in number of admissions by month was statistically significant for PE alone (p=0.0084; adjusted for total number of monthly hospital admissions for the Quebec province) with peak occurrence in November-December. There was no seasonal variation in monthly VTE (p=0.12) and DVT alone (p=0.87) admissions. Conclusion. Our large-scale population study provides evidence that in Quebec, Canada there is a seasonal variation in PE hospital admissions with an annual autumn peak. The underlying pathophysiologyic mechanisms are unknown and deserve further study. Disclosures: Tagalakis: Pfizer: Research Funding; Sanofi Aventis: Honoraria. Kahn:Sigvaris: Research Funding; sanofi-aventis: Advisory Board, Research Funding; Boehringer Ingelheim:.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".