Frailty affects the initial treatment response and time to recovery of mobility in acutely ill older adults admitted to hospital
Bibliographic record
Abstract
Objectives: to investigate how frailty and mobility impairment affect recovery of balance and mobility in acutely ill older patients. Design: secondary analysis of cohort study. Setting: general and geriatric medicine inpatient units, QEII Health Sciences Centre, Dalhousie University, Canada. Subjects: four hundred and nine older adults (mean age = 81 ± 7 standard deviation, 64% women). Methods: we constructed a frailty index based on a comprehensive geriatric assessment (FI-CGA), at baseline (2 weeks before admission; mean 0.31 ± 0.10), and on admission (mean 0.40 ± 0.10), and recorded Hierarchical Assessment of Balance and Mobility (HABAM) scores daily. Recovery was measured as the difference in HABAM scores between discharge and admission. Results: the odds of no or incomplete recovery increased by 1.06 (95% confidence interval: 1.01-1.11) for each 0.1 increment in the baseline FI-CGA. Recovery odds were similarly dependent on age, but independent of baseline HABAM scores. Recovery time was related to Day 1 HABAM scores, initial treatment response and change in the FI-CGA from baseline to admission (r = 0.35, P < 0.001). Recovery time was independent of age. Patients whose mobility improved within 48 h (n = 113; 28%) showed greater improvement and quicker recovery. Conclusions: frailer patients are at a greater risk of incomplete or lengthier recovery from impaired mobility and balance. Tracking mobility and balance might help providers, patients and families understand the course of acute illness in older adults.
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 | 0.001 |
| 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 | 0.000 |
| 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".