Association Between Effects of Frailty and Delirium on Hospital Mortality in Critically Ill Patients in the ICU Requiring Noninvasive Ventilation
Bibliographic record
Abstract
An increasing number of patients with acute respiratory failure are supported with noninvasive ventilation (NIV). Although one-third of the patients receiving NIV experience delirium, its cause largely is unknown. It is hypothesized that frailty may be a contributing factor. Does delirium have an association with hospital mortality in patients with and without frailty receiving only NIV? This was a retrospective, multicenter registry-based observational study using the Australian and New Zealand Intensive Care Society Adult Patient Database. All adults (aged ≥ 16 years) with critical illness across 178 ICUs between January 1, 2018, and December 31, 2022, with a documented clinical frailty scale score requiring NIV were included. The primary outcome was hospital mortality. We assessed the association between delirium and hospital mortality in patients with and without frailty, adjusting for acute illness severity at ICU admission, sex, hospital type, unplanned ICU admission, and if ICU admission happened after rapid response team review. We included 30,534 patients, of whom 12,872 patients (42.2%) were frail. Delirium was more prevalent in patients with frailty (10.0% vs 5.6%; P < .001). The in-hospital mortality was higher in patients with frailty (22.5% vs 9.0%; P < .001) when compared with those without frailty. Delirium was associated independently with higher mortality across all patients, regardless of the frailty status (33.2% vs 21.0%; adjusted OR [aOR], 1.59; 95% CI, 1.40-1.80). Furthermore, delirium was associated with smaller increases in hospital mortality in patients with frailty (aOR, 1.42; 95% CI, 1.22-1.66) compared with those without frailty (aOR, 1.90; 95% CI, 1.53-2.35). Although delirium was associated with higher hospital mortality, the relative impact of this association was greatest in patients without frailty. These findings challenge the 1-size-fits-all approach to delirium management in the ICU, advocating for nuanced strategies that consider the broader clinical context, including frailty.
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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 | 0.119 |
| 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".