Impact of Pain, Agitation, and Delirium Bundle on Delirium and Cognitive Function
Bibliographic record
Abstract
BACKGROUND: Differences in short-term cognitive function between mechanically ventilated patients treated with multicomponent interventions and those receiving routine nursing care have not been established because of the lack of follow-up in previous studies. PURPOSE: This study was designed to evaluate the effects of the pain, agitation, and delirium (PAD) care bundle on delirium occurrence and clinical outcomes, specifically in terms of short-term cognitive function, in mechanically ventilated patients. METHODS: Data on 243 patients with mechanical ventilation were analyzed from January 2017 to February 2019. The eligible patients were divided randomly into two groups. The control group ( n = 120) received usual care, whereas the intervention group ( n = 123) received the PAD bundle, including pain monitoring and management, light sedation and daily awakening, early mobility, sleep promotion, and delirium monitoring. The incidence and duration of delirium, ventilator time, and intensive care unit (ICU) length of stay were compared between the two groups. Upon discharge from the ICU and at 3 and 6 months after discharge, cognitive function was assessed using the Montreal Cognitive Assessment scale and compared between the two groups. RESULTS: The incidence of delirium was reduced significantly in the intervention group, and significant decreases in the duration of delirium, ventilator time, and ICU length of stay were found. Cognitive impairment in the intervention group was significantly lower at the 3-month follow-up assessment. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: The PAD bundle was shown to be associated with a lower incidence of delirium and improved clinical outcomes. Short-term cognitive impairment occurred in fewer patients who were managed with the PAD bundle after ICU discharge. Our findings indicate that the PAD bundle has the potential to improve clinical outcomes. The administrative staff of ICUs should use strategies, such as interdisciplinary teamwork, to facilitate the buy-in and implementation of interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".