Early Mobilization during Extracorporeal Membrane Oxygenation for Cardiopulmonary Failure in Adults: Factors Associated with Intensity of Treatment
Bibliographic record
Abstract
Abstract Rationale Early mobilization of extracorporeal membrane oxygenation (ECMO)-supported patients is increasingly common, but it remains unknown whether there are factors predictive of achieving higher intensity mobilization among those able to participate in physical therapy. Additionally, data regarding the safety and feasibility of early mobilization with femoral cannulation, particularly ambulation, are sparse. Objectives To determine whether there are factors associated with achieving out-of-bed versus in-bed physical therapy in ECMO-supported patients participating in physical therapy, and whether mobilization with femoral cannulation is safe and feasible. Methods This large, single-center, retrospective study evaluated adult patients who performed active physical therapy while receiving ECMO. Mixed effects modeling was used to identify predictors of out-of-bed versus in-bed activity. Rates of mobilization with femoral cannulation and adverse events were also reported. Results Between April 2009 and January 2020, 511 patients were supported with ECMO in a single medical intensive care unit, of whom 177 (35%) underwent active physical therapy and were included in the analysis, including 124 of 141 (88%) bridge to lung transplantation and 53 of 370 (14%) bridge to recovery. These 177 patients accounted for 2,706 active physical therapy sessions, with 138 patients (78%) achieving out-of-bed activity. In total, 108 (61%) patients ambulated (1,284 sessions), 34 of whom had femoral cannulae (250 sessions). Bridge-to-transplant (odds ratio [OR], 17.2; 95% confidence interval [CI], 4.12–72.1), venovenous ECMO (OR, 2.83; 95% CI, 1.29–6.22), later cannulation year (OR, 1.65; 95% CI, 1.37–1.98) and higher Charlson comorbidity index (OR, 1.53; 95% CI, 1.07–2.19) were associated with increased odds of achieving out-of-bed versus in-bed physical therapy, whereas invasive mechanical ventilation (OR, 0.11; 95% CI, 0.05–0.25) and femoral cannulation (OR, 0.19; 95% CI, 0.04–0.92) were associated with decreased odds of performing out-of-bed activities. Adverse events occurred in 2% of sessions. Conclusions Several patient- and ECMO-related factors were associated with achieving higher intensity of early mobilization in patients participating in rehabilitation. Physical therapy with femoral cannulation was safe and feasible, and complications related to mobilization were uncommon.
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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) | 0.000 | 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 | 0.000 | 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".