One-year outcomes in lung transplant (LTx) patients after ≥ 7 days of Mechanical Ventilation (MV) and extracorporeal life support (ECLS) from The RECOVER Program
Bibliographic record
Abstract
Background: As average age and complexity of LTx recipients increase, ECLS as bridge to and recovery from LTx has become prevalent and outcomes are uncertain. Hypothesis: Increased age and exposure to ECLS are associated with more disability captured by the Functional Independence Measure (FIM) from 7 days to 1 year after ICU discharge. Methods: Outcome assessment of 72 LTx recipients (collected concurrently with RECOVER1) was performed at 7 days, 3, 6 and 12 months post ICU discharge. LTx recipients were stratified a priori by age and ECLS status. Results: Four patient groups: (a) ECLS/<50yrs [n=10, median age 31yrs (27-36)]; (b) ECLS/≥ 50yrs [n=7; median age 52yrs (50-61)]; (c) NoECLS/<50yrs [n=11, median age 35yrs (25-41)]; and (d) NoECLS/≥50yrs [(n=44, median age 62yrs (56-66)]. ICULOS (median, IQR) across these groups was: (a) 41 (24-88); (b) 26 (21-31); (c) 18 (11-23); and (d) 23 (17-36). FIM at 7 days after ICU discharge was 18 points lower (p<0.01) in the age group over vs. under 50 yrs and 10 points lower (p=0.05) with exposure to ECLS. From 7 days to 1 year, the rate of improvement in the FIM did not differ across the 4 age/ECLS groups (p=0.71) but at 1 year, those over age 50 yrs had a FIM that was 8 points lower (p=0.03). One-year mortality appeared to vary by ECLS exposure but was not statistically significant: ECLS/<50yrs=30%; ECLS+50yrs=29% and NoECLS/<50yrs=18%; NoECLS+50yrs=15%. Conclusions: Age ≥50 years and any exposure to ECLS among LTx recipients MV for ≥7 days resulted in clinically important reductions in functional independence at 7 days after ICU discharge. 1- Am J Respir Crit Care Med. 2016
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".