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Record W2807158197 · doi:10.1097/nur.0000000000000384

Pathophysiology Review

2018· review· en· W2807158197 on OpenAlexaff
Malissa Mulkey, Sonya R. Hardin, DaiWai M. Olson, Cindy L. Munro

Bibliographic record

VenueClinical Nurse Specialist · 2018
Typereview
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsStuart Olson (Canada)
Fundersnot available
KeywordsDeliriumNeurotransmitter systemsPathophysiologyMedicineIntensive care medicineIntensive care unitCognitionNeurotransmitterStressorCognitive impairmentPsychiatryPsychologyInternal medicine

Abstract

fetched live from OpenAlex

Delirium affects 70% to 80% of intensive care unit patients and is associated with a 10-fold increase in rates of cognitive impairment at discharge and a 3-fold increase in mortality rates. Estimated costs are $152 billion in Medicare charges annually, 17.5 million inpatient days, and 30-day postdischarge costs of $238 726 per patient. Delirium is an acute disorder of attention and global cognitive function characterized by fluctuating symptoms occurring in the face of an underlying organic cause. As patients adapt to physiological stressors, neurotransmitter changes lead to electroencephalogram pattern changes. The ability to compensate for the chemical (neurotransmitter) imbalances is surpassed, causing the behavioral symptomatology we know as delirium. This article seeks to describe the pathophysiology behind the behavior core to the prevention and management of delirium.

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 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)0.001
metaresearch head score (Gemma)0.039
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.011

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 head0.119
GPT teacher head0.485
Teacher spread0.366 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations57
Published2018
Admission routes1
Has abstractyes

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