Abstract 13123: Early Mobilization of Older Adults in the Cardiac Intensive Care Unit
Bibliographic record
Abstract
Background: Early mobilization (EM) is beneficial in general critical care units and in older hospitalized patients, but little is known about EM in older adults with acute cardiovascular disease. Methods: Consecutive admissions of adults ≥ 80 years old to a cardiac ICU at an academic tertiary care centre before (January to December 2017) and after (February 2018 to June 2019) implementation of a structured nurse-driven EM program. Mobility was measured using the validated Level of Function (LOF) Mobility Scale, which ranges from 0 (bed immobile) to 5 (able to walk > 50 feet). The primary outcome was discharge home. Results: There were 412 patients included (N=234, intervention; N=178, preintervention). There was no difference in mean age between groups (overall mean age 86.3±4.8 years old) or sex (overall female N=215, 52.2%). In the intervention group, functional impairment was present in 89 patients (38.0%) prior to hospitalization and in 209 patients (89.3%) on admission. Nearly half of patients undergoing EM (N=107; 45.7%) improved their LOF by ≥1 during cardiac ICU stay. Mobilization occurred during nearly all opportunities (838/850; 98.6%) and most mobility activities were completed (2,207/2,553; 86.4%). Adverse events were rare (5/2,207 activities [0.2%]) and transient (N=5). There were no falls, line dislodgements, or healthcare team injuries). Patients in the intervention group were more likely than patients in the preintervention group to be discharged home (74.4% vs. 65.7%, P=0.047, respectively) and had a lower rate of in-hospital death (6.4% vs. 14.6%, P=0.006, respectively). There was no difference in length of hospital stay or re-admission. In the multivariable analysis, predictors of discharge home were younger age, heart failure, and higher prehospital LOF. Outcomes were similar in adults ≥ age 90. Conclusion: EM is safe in older adults in the cardiac ICU and is associated with reduced discharge to healthcare facility and in-hospital mortality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".