FREQUENCY AND STABILITY OF MOTOR SUBTYPES IN OLDER MEDICAL INPATIENTS WITH DELIRIUM
Bibliographic record
Abstract
Hypoactive delirium is most commonly missed and yields the worst outcomes. Little is known about longitudinal course of motor subtypes, as most studies are cross-sectional in nature. We aimed to investigate the frequency and stability of motor subtypes in incident delirium in older medical inpatients. Medical inpatients of ≥70 years without prevalent delirium on admission underwent daily assessment for ≤7 days for incident delirium. Motor activity profile was established using the Delirium Motor Subtype Scale-4 (DMSS-4). Longitudinal subtypes were ascertained by examining the daily profiles of each delirious patient. In total, 1219 assessments were performed in 191 patients, 61 with incident delirium. Hypoactive subtype was most prevalent on any given delirium day (n= 75/113, 66.4%) and was the most common longitudinal subtype (n=38/61, 62.3%). Hypoactive delirium is highly prevalent in older medical inpatients. Hence, delirium education programmes should focus on improving understanding and awareness of this subtle presentation amongst clinicians.
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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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".