Abstract 332: Characteristics of Patients with Submassive Pulmonary Embolism with Early Re-hospitalization After tPA Administration
Bibliographic record
Abstract
Background: Evidence for clinical predictors of early re-hospitalization after tissue plasminogen activator (tPA) therapy in patients with submassive pulmonary embolism (SMPE) is currently lacking. We sought to explore the characteristics of these patients in a retrospective cohort study at our hospital Methods: Clinical, biochemical, hemodynamic, echocardiographic characteristics and clinical course of consecutive patients with SMPE [as defined by Acute PE without systemic hypotension (systolic blood pressure >90 mm Hg) but with either Right Ventricular strain/dysfunction demonstrated on echocardiography obtained within 24 hours of presentation or myocardial necrosis as evidenced by elevated cardiac troponins and/or elevated brain natriuretic peptide levels)] were studied in a retrospective cohort study. Unplanned all cause re-hospitalizations after the index hospitalization for SMPE were captured Results: A total of 145 (in past 5 years) patients with pulmonary embolism diagnosed with spiral CT angiography or ventilation perfusion scan were screened for patients with SMPE. 17 patients with SMPE were identified in whom tPA was administered. No patient had major bleeding, one patient suffered gross hematuria during the tPA administration. After a mean 2.1 years of follow up 5 (29%) patients suffered unplanned all cause re-hospitalizations among which 4 were within one year from the index hospitalization for SMPE. Baseline characteristics are shown in table 1. No patients had recurrent PE after the index hospitalization Conclusion: A significant proportion of patients were re-hospitalized within one year after tPA administration in patients with SMPE. Further studies in larger cohorts are needed to identify independent clinical predictors of re-hospitalization in patients with submassive pulmonary embolism
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".