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Cognitive assessment to optimize prediction of functional outcome in subacute hip fracture: a short-term prospective study

2024· article· en· W4392799867 on OpenAlexaboutno aff
Marco Di Monaco, Maria Sgarbanti, Silvia Trombetta, Laura Gullone, Alessandra Bonardo, Patrizia Gindri, Carlotta Castiglioni, Francesca Bardesono, Edoardo Milano, Giuseppe Massazza

Bibliographic record

VenueEuropean Journal of Physical and Rehabilitation Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentMedicineHip fractureRehabilitationPhysical therapyCognitionConfoundingPhysical medicine and rehabilitationProspective cohort studyActivities of daily livingCognitive testCognitive impairmentInternal medicinePsychiatryOsteoporosis

Abstract

fetched live from OpenAlex

BACKGROUND: Cognitive impairment is a long-known negative prognostic factor after hip fracture. Cognition is usually screened by a single easy-to-administer bedside tool, but recent studies have shown that screening tests may be not enough to rule out cognitive impairment with an unfavorable prognostic role. Unfortunately, data on outcome prediction by further cognitive assessments is sparse. AIM: We focused on patients with subacute hip fracture defined cognitively intact or mildly impaired on the screening evaluation performed by the Short Portable Mental Status Questionnaire (SPMSQ). We hypothesized that each of 3 further cognitive tests could independently predict activities of daily living, with optimal prediction of function obtained by performing all three the tests. DESIGN: Short-term prospective study. SETTING: Rehabilitation ward. POPULATION: Inpatients with subacute hip-fracture. METHODS: Three cognitive tests were performed on admission to rehabilitation in the patients who made ≤4 errors on the SPMSQ: Montreal Cognitive Assessment (MoCA), Rey Auditory Verbal Learning Test (RAVLT, immediate and delayed recall) and Frontal Assessment Battery (FAB). We assessed activities of daily living by the Barthel index. Successful rehabilitation was defined with a Barthel Index Score ≥85. RESULTS: Each of the three cognitive tests assessed before rehabilitation significantly predicted the Barthel index scores measured at the end of the rehabilitation course in our sample of 280 inpatients. However, only the MoCA score retained its significant predictive role when the scores from the three tests were included together as independent variables in a multiple regression model, with adjustments for a panel of potential confounders (P=0.007). The adjusted odds ratio to achieve successful rehabilitation for a seven-point change in MoCA score was 1.98 (CI 95% from 1.02 to 3.83; P=0.042). CONCLUSIONS: Contrary to our hypothesis, MoCA but not RAVLT and FAB retained the prognostic role when the scores from the three tests were evaluated together as potential predictors of functional ability in activities of daily living. CLINICAL REHABILITATION IMPACT: In the presence of a normal (or mildly altered) score on the SPMSQ in subacute hip fracture, MoCA scores improve prediction of activities of daily living and should be routinely performed.

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)0.003
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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.025
GPT teacher head0.342
Teacher spread0.318 · 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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Citations4
Published2024
Admission routes1
Has abstractyes

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