Physical Rehabilitation of Patients in the Intensive Care Unit Requiring Extracorporeal Membrane Oxygenation: A Small Case Series
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Neuromuscular weakness and impaired physical function are common and long-lasting complications experienced by intensive care unit (ICU) survivors. There is growing evidence that implementing rehabilitation therapy shortly after ICU admission improves physical function and reduces health care utilization. Recently, there is increasing interest and utilization of extracorporeal membrane oxygenation (ECMO) to support patients with severe respiratory failure. Patients receiving ECMO are at great risk for significant physical impairments and pose unique challenges for delivering rehabilitation therapy. Consequently, there is a need for innovative examples of safely and feasibly delivering active rehabilitation to these patients. CASE DESCRIPTION: This case report describes 3 patients with respiratory failure requiring ECMO who received physical rehabilitation to illustrate and discuss relevant feasibility and safety issues. OUTCOMES: In case 1, sedation and femoral cannulation limited rehabilitation therapy while on ECMO. In the 2 subsequent cases, minimizing sedation and utilizing a single bicaval dual lumen ECMO cannula placed in the internal jugular vein allowed patients to be alert and participate in active physical therapy while on ECMO, illustrating feasible rehabilitation techniques for these patients. DISCUSSION: Although greater experience is needed to more fully evaluate the safety of rehabilitation on ECMO, these initial cases are encouraging. We recommend systematically and prospectively tracking safety events and patient outcomes during rehabilitation on ECMO to provide greater evidence in this area.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".