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Delirium and agitation in traumatic brain injury patients: an update on pathological hypotheses and treatment options

2018· article· en· W2807729904 on OpenAlexaff
Mario Ganau, Andrea Lavinio, Lara Prisco

Bibliographic record

VenueMinerva Anestesiologica · 2018
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsDeliriumMedicineTraumatic brain injuryIntensive care medicineDexmedetomidineIncidence (geometry)Intensive care unitDementiaPsychiatryAnesthesiaDiseaseInternal medicineSedation

Abstract

fetched live from OpenAlex

Traumatic brain injury (TBI) is a global public health epidemic. It represents the principal cause of death and disability in individuals aged under 35 in the USA. In the subacute phase, severe TBI patients who recover consciousness go through a state of agitation and delirium. However, there is only limited research exploring the characteristics of post-traumatic delirium (PTD) although it is likely to be more frequent than in general Intensive Care Unit (ICU) patients. Evidence suggest the incidence of delirium in non-TBI ICU patients is up to 86%. The exact pathophysiological mechanisms underlying the development and progression of delirium in critically ill patients is still unclear. Many hypotheses have been proposed to play a role: neuroinflammation, neurotransmitter imbalance, structural and functional brain damage. TBI patients are at high risk of post-traumatic cognitive impairment, and up to two thirds of patients who survive TBI develop agitation and delirium which is associated with increased disability and long term cognitive impairment. Recommendation for the treatment of PTD in patients admitted to ICU are not clearly identified. Despite the high prevalence of PTD, the condition often goes misrecognized and attributed primarily to the injury itself. There is increasing evidence that certain drugs such as antipsychotics can reduce the incidence and severity of delirium, whereas other drugs such as dexmedetomidine and remifentanil are associated with decreased risk of developing delirium in general ICU patients. However, there is a lack of high quality studies exploring treatment strategies for PTD in the acute setting.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Review
About the Canadian research system: no · About a Canadian topic: no
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation 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 score0.501
Threshold uncertainty score0.628

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.315
Teacher spread0.264 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Other design
Domainnot available
GenreReview

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

Citations64
Published2018
Admission routes1
Has abstractyes

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