New horizons in hospital-associated deconditioning: a global condition of body and mind
Bibliographic record
Abstract
Hospital-associated deconditioning is a broad term, which refers non-specifically to declines in any function of the body secondary to hospitalisation. Older people, particularly those living with frailty, are known to be at greatest risk. It has historically been most commonly used as a term to describe declines in muscle mass and function (i.e. acute sarcopenia). However, declines in physical function do not occur in isolation, and it is recognised that cognitive deconditioning (defined by delayed mental processing as part of a spectrum with fulminant delirium at one end) is commonly encountered by patients in hospital. Whilst the term 'deconditioning' is descriptive, it perhaps leads to under-emphasis on the inherent organ dysfunction that is associated, and also implies some ease of reversibility. Whilst deconditioning may be reversible with early intervention strategies, the long-term effects can be devastating. In this article, we summarise the most recent research on this topic including new promising interventions and describe our recommendations for implementation of tools such as the Frailty Care Bundle.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".