Frailty in Critical Care: Examining Implications for Clinical Practices
Bibliographic record
Abstract
Frailty is an aging-related, multisystem clinical state characterized by loss of physiological reserves and diminished capacity to withstand exposure to stressors. Frailty increases the risk of serious adverse outcomes, compared with that of nonfrail people of the same age. Adverse outcomes can be severe and may include procedural complications, delirium, significant functional decline and disability, prolonged hospital length of stay, extended recovery periods, and death. As older adults make up a continually growing proportion of hospitalized patients, critical care nurses need to understand how to recognize frailty and be familiar with related clinical practice implications. Such knowledge underpins effective organization and delivery of care strategies aimed at minimizing harm and maximizing positive outcomes for frail older adults. Drawing from recent literature, this article explores frailty and critical illness by discussing 2 dominant models of the concept. Using a clinical case study, links between frailty and critical care nursing practices are highlighted and clinical considerations are explored.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".