ASSOCIATION BETWEEN ED-INDUCED DELIRIUM AND COGNITIVE AND FUNCTIONAL DECLINE IN SENIORS
Bibliographic record
Abstract
Background: Delirium is a common medical complication among senior in the emergency department (ED). Delirium is associated with increased mortality & longer hospital stay. It is also associated with functional & cognitive decline in hospitalized seniors and institutionalization. No data is currently available for ED patients. Aim: To evaluate the association between ED-induced delirium and functional & cognitive decline in seniors at 60 days. Method: This study is part of the ongoing multicenter prospective cohort MIDI-INDEED study. Patients were recruited after 8 hours in the ED and followed up to 24h after admission. A follow-up phone assessment was conducted 60 days later. Delirium was measured by the validated CAM. Functional status was measured by the validated OARS. Cognitive status was measured using the validated TICS-M. Functional and cognitive decline were obtained by comparing the baseline and 60-days follow-up scores. Results: 370 seniors were recruited. 280 had follow-up data available. ED-induced delirium was 8.4%. There was a difference in mean functional decline among seniors with and without: 2.95(1.23–4.67) vs 1.55(1.20–1.91), pwlicoxon= 0.05. Proportion of seniors showing a decline ≥2 points on the OARS was significantly higher in those with delirium (p=0.03). Seniors with delirium also showed a significant decline in mean TICS scores: 3.31 (0,82-5.84) vs -0.01(-.071-0.75), pwlicoxon =0.009. There was no significant difference in the proportions of seniors showing a decline ≥ 3 OARS points (p=0.06). Conclusion: ED-induced delirium seems to be associated with poor functional and cognitive outcomes in older patients 60 days after discharge from the hospital.
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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 | 0.000 | 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) | 0.002 | 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".