Safety and Feasibility of a Protocolized Approach to In-Bed Cycling Exercise in the Intensive Care Unit: Quality Improvement Project
Bibliographic record
Abstract
BACKGROUND: In-bed, supine cycle ergometry as a part of early rehabilitation in the intensive care unit (ICU) appears to be safe, feasible, and beneficial, but no standardized protocol exists. A standardized protocol may help guide use of cycle ergometry in the ICU. OBJECTIVE: This study investigated whether a standardized protocol for in-bed cycling is safe and feasible, results in cycling for a longer duration, and achieves a higher resistance. DESIGN: A quality improvement (QI) project was conducted. METHODS: A 35-minute in-bed cycling protocol was implemented in a single medical intensive care unit (MICU) over a 7-month quality improvement (QI) period compared to pre-existing, prospectively collected data from an 18-month pre-QI period. RESULTS: One hundred and six MICU patients received 260 cycling sessions in the QI period vs. 178 MICU patients receiving 498 sessions in the pre-QI period. The protocol was used in 249 (96%) of cycling sessions. The QI group cycled for longer median (IQR) duration (35 [25-35] vs. 25 [18-30] minutes, P < .001) and more frequently achieved a resistance level greater than gear 0 (47% vs. 17% of sessions, P < .001). There were 4 (1.5%) transient physiologic abnormalities during the QI period, and 1 (0.2%) during the pre-QI period ( P = .031). LIMITATIONS: Patient outcomes were not evaluated to understand if the protocol has clinical benefits. CONCLUSIONS: Use of a protocolized approach for in-bed cycling appears safe and feasible, results in cycling for longer duration, and achieved higher resistance.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".