Abstract 15295: Clinical Characteristics, Treatment Patterns, and Short-term Outcomes in Patients With Isolated Distal Deep Vein Thrombosis
Bibliographic record
Abstract
Background: Isolated distal deep vein thrombosis (IDDVT) is a common form of venous thromboembolism (VTE). Limited data exist about the clinical characteristics, initial treatment, and short-term outcomes of these patients. Methods: Using the data from the RIETE registry (05/2001-02/2019), we identified patients with IDDVT without pulmonary embolism (PE). We determined the clinical presentation, initial treatment, and 30-day and 90-day outcomes. We compared the findings with patients with proximal DVT without PE. Results: We identified 5,359 patients with IDDVT (mean age 61±17 years, 50% women). The most prevalent comorbidities were hypertension (39%), anemia (28%), prior VTE (14%), active cancer (12%), heart failure (6.7%), and diabetes (6.6%). Recent surgery was reported in 16%. Most participants received anticoagulation (99%), most commonly with low-molecular-weight heparin (88%). No patient received thrombolytics and use of vena cava filters was rare (0.4%). At 30 days, 59 patients (1.1% [99% CI, 0.8%-1.5%]) died, including only 3 from PE (0.1% [99% CI, 0.01%-0.2%]), 44 (0.8% [99% CI, 0.5%-1.2%]) had nonfatal VTE recurrence, and 31 (0.6% [99% CI, 0.4%-0.9%]) had major bleeding. At 90 days, 2.9% (99% CI, 2.4%-3.6%) died (no additional death from PE), 1.5% (99% CI, 1.1%-2.0%) had nonfatal VTE recurrence, and 0.9% (99% CI, 0.6%-1.3%) had major bleeding. When compared with 25,420 individuals with proximal DVT without PE, those with IDDVT had lower co-morbidity burden including diabetes, heart failure, and cancer, but were more likely to have had recent surgery (P<0.001 for all). Patients with IDDVT also had lower odds of 30-day and 90-day death and major bleeding in bivariate and multivariable analyses (Figure). Conclusions: In a large multinational study, IDDVT occurred in patients with low comorbidity burden. Most patients with IDDVT received anticoagulation. Fatal PE was rare, and patients had a more benign prognosis compared with those with proximal DVT.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".