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Record W2761525546 · doi:10.1093/pch/pxx086.070

AGITATION IN THE SETTING OF PEDIATRIC TRAUMATIC BRAIN INJURY

2017· article· en· W2761525546 on OpenAlexaff
Magda Nowicki, Rhiannon Hicks, Lisa Pearlman, Jamie Hutchison, Craig Campbell

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of TorontoLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsTraumatic brain injuryGlasgow Coma ScaleMedicinePhysical therapyInjury Severity ScoreHead injuryRehabilitationInjury preventionPoison controlAnesthesiaEmergency medicineSurgeryPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Agitation following traumatic brain injury (TBI) commonly occurs during the acute phase of recovery and has been shown to hinder rehabilitation. OBJECTIVES: The current study investigated the relationships between acute agitation, injury severity, gender, disability, and functional outcomes in pediatric patients with TBI.This was done using the Agitation Behaviour Scale (ABS), which is being validated for use in children as part of this study. DESIGN/METHODS: 26 children (ages 5-17) with TBI participated in the study as part of the Attention and Outcome Following TBI study. The ABS was completed 3 times daily for 4 days and total mean agitation was calculated for analysis. Injury severity was measured by PRISM III, MRI score, Glasgow Coma Scale, Pediatric Trauma score, and length of intubation. Functional outcomes at baseline and 12 months post-TBI were measured by the Pediatric Injury Functional Outcome Scale. Relationships between injury severity, functional outcomes and agitation were analyzed with Spearman’s rank correlation coefficients. Intellectual and physical disability was measured at baseline and 12 months after TBI using the Pediatric Cerebral Performance Category and patients were categorized according to disability severity. Mean agitation was compared between gender and disability groups with one-way ANOVAs. RESULTS: There was a significant positive association between agitation and duration of ventilation, (= 0.752, P< 0.001). Higher levels of agitation were also displayed by children who had a higher risk of mortality due to their injury, (= 0.465, P= 0.017). There was a trend towards significance between agitation and trauma severity, where children that suffered more traumatic injury showed increased agitation (= -0.382, P= 0.054). In addition, a trend between agitation and long-term functional outcome was found, where more agitated children had increased functional deficits 12 months post-TBI (= 0.445, P=0.084). There were no significant differences in agitation between genders or disability groups at baseline and 12 months post-TBI. CONCLUSION: The ABS is a useful tool in the investigation of potential predictors and outcomes of agitation during TBI recovery in the pediatric population, which may facilitate development of improved management strategies in the future.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.077
GPT teacher head0.402
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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