Pulmonary embolism on postmortem examination: an under-recognized complication in lung-transplant recipients?
Bibliographic record
Abstract
INTRODUCTION: Postmortem reports highlight the importance of factors that individually or collectively limit survival. The prevalence of pulmonary embolism (PE) at autopsy in lung-transplant recipients has not been characterized previously. OBJECTIVE: We aimed to describe the prevalence of PE, infection, and acute and chronic rejection at autopsy and their respective contributions to death in lung-transplant recipients according to survival posttransplantation. METHODS: We retrospectively reviewed 126 autopsy reports performed in lung-and heart-lung-transplant recipients between June 1990 and September 2002. RESULTS: PE was identified at autopsy in 34 (27.0%) of 126 lung- and heart-lung-transplant recipients. The prevalence of autopsy-established PE was highest, at 36.4%, in the early group (1-30 days) compared with 20.0% and 23.8% in the intermediate (31-365 days) and late (>365 days) groups, respectively. Although fungal and viral pneumonia were noted most frequently in the early and intermediate groups, bacterial pneumonia was noted in 32% to 45% of autopsies over the posttransplant period. Acute cellular rejection and bronchiolitis obliterans were present in 29.5% and 2.3%, 40.0% and 17.5%, and 35.7% and 42.9% of patients in the early, intermediate, and late groups, respectively. The most frequent cause of death was bacterial infection. CONCLUSIONS: The prevalence of PE was highest in mechanically ventilated lung-transplant recipients in the early postoperative period. Heart-lung recipients were at lower risk for PE compared with double- and single-lung recipients. PE may be an under-appreciated complication contributing to respiratory failure in the early postoperative period.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".