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Cognitive-Communication Performance Following Mild Traumatic Brain injury : Acute Outcome Prediction

2017· other· en· W6908359423 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)ComprehensionPoison controlDysgeusiaAphasia

Abstract

fetched live from OpenAlex

Objective : Although several studies have investigated outcomes post mild traumatic brain injury (mTBI), little information is available in the literature regarding the effects and consequences of language and communication deficits, particularly in the acute stage. The goal of our study was to determine how performance on measures of auditory comprehension, verbal reasoning, oral expression and reading comprehension obtained during acute care hospital admission in patients with complicated mTBI contribute to acute care discharge outcomes. Method: Speech-language pathologists administered the Boston Naming Test (short form), the conversational discourse subtest of the Montreal Protocol for the Evaluation of Communication, verbal fluency tasks, the verbal absurdity subtest of the Detroit Test of Learning Aptitude, the complex ideational material subtest of the Boston Diagnostic Aphasia Examination and the reading comprehension subtest of the Canadian Adult Achievement Test to 128 patients with a diagnosis of complicated mTBI admitted to the TBI program of the McGill University Health Center-Montreal General Hospital, a supra-regional Level I trauma hospital. Medical charts of participants were retrospectively reviewed to gather demographical data, language test results and accident-related information. Outcome measures obtained from the TBI program database included length of stay (LOS), discharge destination and scores on the extended Glasgow Outcome Scale (GOSE). Results: Over half of the patients with complicated mTBI (56.3%) required rehabilitation services post discharge from acute care. Of this group, 39.1% were transferred to an in-patient rehabilitation center whereas 17.2% were discharged home and obtained services in an out-patient facility. Performances on tasks of auditory comprehension, verbal reasoning, confrontation naming, and verbal fluency as well as conversational discourse skills predicted transfer to an in-patient rehabilitation facility at discharge (p<.05). Thus, those patients who had more difficulty naming, understanding oral information, organizing spontaneous discourse and those with poorer verbal reasoning and verbal fluency skills were more likely to require specialized in-patient rehabilitation services versus being discharged home with no services. Those patients with worse skills in naming, conversational discourse and letter-category verbal fluency also had a greater chance of requiring out-patient rehabilitation services (p<.05). In addition, LOS was more likely to be longer in patients with poorer letter-category naming (p<.05) and the probability of greater disability as measured with the GOSE was linked to worse conversational discourse skills and semantic category naming (p<.05). Conclusion: Rehabilitation services are often required after complicated mTBI. In this study, the likelihood of patients needing such services was related to performance on several oral expression and auditory comprehension tests. It is therefore important to evaluate these skills in acute care post mTBI. The results of this study add to the information available to healthcare professionals in predicting overall acute outcomes following complicated mTBI.

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 score0.007

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.167
GPT teacher head0.416
Teacher spread0.249 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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