Long-Term Functional Outcomes in the First 12 Months After VA-ECMO in Adult Patients: A Prospective, Multicenter Study
Bibliographic record
Abstract
BACKGROUND: Long-term outcomes and quality of life have been identified as core patient-centered outcomes for venoarterial extracorporeal membrane oxygenation (VA-ECMO) research. The aim of this study is to investigate the incidence of death or new disability at 12 months after the initiation of VA-ECMO. METHODS: Prospective, multicenter, registry-embedded cohort study in 26 hospitals in Australia and New Zealand from February 2019 through April 2023. Adult patients admitted to a participating ICU and who underwent VA-ECMO were included. The primary outcome was death or new disability at 6 and 12 months. All results were adjusted for patient characteristics at the time of ECMO initiation. RESULTS: Among 389 patients who received VA-ECMO (median age, 57 [44–65] years; 35% women), the incidence of death or new disability at 12 months was 70.6% compared with 70.8% at 6 months (adjusted odds ratio for 12 versus 6 months, 0.61 [95% CI, 0.25–1.49]; P =0.27). Compared with 6 months, at 12 months after VA-ECMO more patients were independent in activities of daily living (62.1% versus 48.2%; adjusted odds ratio, 2.84 [95% CI, 1.50–5.36]; P =0.001), and fewer patients were unemployed due to health reasons (32.7% versus 47.4%; adjusted odds ratio, 0.29 [95% CI, 0.13–0.65]; P <0.001). Differences in outcomes were found according to the reason for VA-ECMO initiation. CONCLUSIONS: At 12 months after VA-ECMO, 30% of patients are alive and without disability, with differences in outcome associated with the reason for VA-ECMO initiation. The major burden of disability appears to develop in the first 6 months after VA-ECMO initiation and is sustained between 6 and 12 months. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03793257.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".