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Record W4402898578 · doi:10.1016/j.apmr.2024.09.005

Four-Year Trajectories of Symptoms and Quality of Life in Individuals Hospitalized After Mild Traumatic Brain Injury

2024· article· en· W4402898578 on OpenAlexafffund
Kathleen Cairns, Simon Beaulieu‐Bonneau, Valérie Jomphe, Marie‐Ève Lamontagne, Élaine de Guise, Lynne Moore, Josée Savard, Marie‐Josée Sirois, Bonnie Swaine, Marie‐Christine Ouellet

Bibliographic record

VenueArchives of Physical Medicine and Rehabilitation · 2024
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsCentre hospitalier de l'Université LavalCentre hospitalier universitaire de QuébecUniversité LavalUniversité de MontréalMcGill University Health CentreCentre for Interdisciplinary Research in Rehabilitation
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health Research
KeywordsTraumatic brain injuryQuality of life (healthcare)RehabilitationMedicinePsychologyPhysical medicine and rehabilitationPhysical therapyPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVES: To (1) detect distinct trajectories of symptoms and quality of life (QoL) over the first 4 years after mild traumatic brain injury (mTBI); (2) assess the relationship between symptom trajectory membership and QoL trajectory membership; and (3) identify participant characteristics associated with QoL trajectory membership. DESIGN: Prospective longitudinal cohort study. Assessments occurred at 4, 8, 12, 24, 36, and 48 months after mTBI. SETTING: Recruitment occurred in Level 1 Trauma Centers; follow-up was completed in the community. PARTICIPANTS: Participants were 143 adults (aged 18-65y) who sustained an mTBI and were hospitalized (≥24h) at a Level 1 Trauma Center. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Fatigue Severity Scale, Hospital Anxiety and Depression Scale, Insomnia Severity Index, Medical Outcomes Study Cognitive Functioning Scale, Quality of Life after Brain Injury questionnaire, presence/absence of headaches or dizziness. RESULTS: Group-based trajectory modeling revealed relatively stable symptom and QoL trajectories over time. Considerable percentages of participants were classified in trajectories of clinically significant symptoms throughout the full follow-up period: 62% for subjective cognitive issues, 54% for fatigue, 44% for anxiety, 43% for insomnia, 27% for depression, 23% for headaches, and 17% for dizziness. Sixty-six percent of participants belonged to trajectories of persistently poor QoL. For all symptoms, trajectories of greater severity were associated with trajectories of poorer QoL. None of the sociodemographic or injury-related variables examined were associated with QoL trajectory membership. CONCLUSIONS: A substantial proportion of individuals hospitalized after mTBI experiences clinically significant persistent symptoms ≤4 years after injury, and those with more severe symptoms have poorer QoL. Further research is required to better understand the factors leading to symptom persistence and poor QoL.

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 score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.047
GPT teacher head0.373
Teacher spread0.326 · 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

Citations4
Published2024
Admission routes2
Has abstractyes

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