Association of annual volume and in‐hospital outcomes of catheter‐directed thrombolysis for pulmonary embolism
Bibliographic record
Abstract
Abstract Objective We sought to evaluate the association between the institutional volume of catheter‐directed thrombolysis (CDT) for pulmonary embolism and in‐hospital mortality. Background CDT is an increasingly utilized therapy in patients with intermediate/high‐risk PE. However, data on the relationship between hospital volume and clinical outcomes remain limited. Methods Patients who underwent CDT between October 1, 2015, and March 31, 2021, were identified in the Vizient Clinical Database. The primary outcome was in‐hospital mortality. Secondary outcome were major complications, length of stay, and cost. Hospitals were dichotomized into <8 and 8 cases/year following restricted cubic spline analysis. Results A total of 6741 CDT procedures at 171 hospitals were included with a median annual hospital volume of 4.1 cases (IQR = 1.9–8.3). A total of 44 hospitals (25.7%) were classified as high‐volume (8 cases/year) and performed 60.9% of all CDT cases. CDT at high‐volume centers was associated with lower in‐hospital mortality (6.0% vs. 11.3%; p < 0.0001). Stroke and bleeding rates were similar, but pulmonary complications were more frequent at low‐volume centers. CDT at high volume centers was associated with a significantly shorter length of stay and lower cost. The association between high CDT volume and in‐hospital mortality persisted after adjustment for demographics (odds ratio [OR] = 0.49, [0.41–0.58]), demographics and risk factors (OR = 0.52 [0.44–0.62]), and demographics, risk factors, and troponin elevation (OR = 0.51 [0.40–0.66]). Conclusion In a large contemporary cohort of patients undergoing CDT in the United States, low annual institutional volume of CDT was associated with higher in‐hospital mortality.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".