Functional and cognitive decline in older delirious adults after an emergency department visit
Bibliographic record
Abstract
BACKGROUND: the aim of this study was to evaluate the impact of emergency department (ED) stay-associated delirium on older patient's functional and cognitive status at 60 days post ED visit. METHODS: this study was part of the multi-centre prospective cohort INDEED study. This project took place between March 2015 and July 2016 in five participating EDs across the province of Quebec. Independent non-delirious patients aged ≥65, with an ED stay ≥8 hours, were monitored for delirium until 24 hours post ward admission. A 60-day follow-up phone assessment was conducted. Participants were screened for delirium using the Confusion Assessment Method. Functional and cognitive statuses were assessed at baseline and at the 60-day follow-up using OARS and TICS-m. RESULTS: a total of 608 patients were recruited, 393 of which completed the 60-day follow-up. The Confusion Assessment Method was positive in 69 patients (11.8%) during ED stay or within the first 24 hours following ward admission. At 60 days, delirium patients experienced an adjusted loss of -2.9/28 [95%CI: -3.9, -2.0] points on the OARS scale compared to non-delirious patients who lost -1.6 [95%CI: -1.9, -1.3] (P = 0.006). A significant adjusted difference in cognitive function was also noted at 60 days, as TICS-m scores in delirious patients decreased by -1.6 [95%CI: -3.5, 0.2] compared to non-delirious patients, who showed a minor improvement of 0.5 [95%CI: -0.1, 1.1] (P = 0.03). CONCLUSION: seniors who developed ED stay-associated delirium have lower baseline functional and cognitive status than non-delirious patients, and they will experience a more significant decline at 60 days post ED visit.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".