Mechanical Circulatory Support as a Bridge to Lung Transplantation: A Single Canadian Institution Review
Bibliographic record
Abstract
BACKGROUND: Lung transplant (LTx) waitlists continue to grow internationally. Consequently, more patients are progressing to require mechanical circulatory support (MCS) as a bridge to transplantation (BTT). MCS strategies include interventional lung assist (iLA) and venovenous (VV) and venoarterial (VA) extracorporeal membrane oxygenation (ECMO). We review our series of patients bridged with MCS while listed for LTx. METHODS: All consecutive patients, listed for LTx requiring MCS as a BTT at the University of Alberta from 2004 to 2015, were included. Patient demographics and outcomes were compared for the 3 groups (iLA, VV-ECMO, and VA-ECMO). RESULTS: = 5) with iLA. Overall, 71% of patients were bridged successfully to LTx. The 1-year survival posttransplantation was 88%. CONCLUSION: We have demonstrated the feasibility of utilizing the MCS modalities of VA-ECMO, VV-ECMO, and most recently iLA, as a BTT. MCS is a viable strategy for BTT, offering improved survival outcomes for decompensating adult patients awaiting LTx, resulting in excellent survival posttransplantation.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".