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Record W2918448448 · doi:10.1017/s0714980819000011

The Short Performance Physical Battery Is Associated with One-Year Emergency Department Visits and Hospitalization

2019· article· fr· W2918448448 on OpenAlexafffundabout
Ahmed Negm, Courtney Kennedy, Janet M. Pritchard, George Ioannidis, Vasilia Vastis, Sharon Marr, Christopher Patterson, Brian Misiaszek, Tricia Woo, Lehana Thabane, Αλεξάνδρα Παπαϊωάννου

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2019
Typearticle
Languagefr
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsImpactMcMaster University
FundersHamilton Health Sciences
KeywordsMedicineEmergency departmentHumanitiesGynecologyArtPsychiatry

Abstract

fetched live from OpenAlex

Les outils cliniques employés dans les établissements de soins peuvent fournir des informations pronostiques importantes aux professionnels de la santé. Dans cette étude observationnelle prospective d'un an, nous avons examiné l'association entre les scores au Short Performance Physical Battery (SPPB), d'une part, et les consultations à l'urgence et les hospitalisations au cours de l'étude, d'autre part. Au total, 191 patients ayant été nouvellement référés à une clinique gériatrique externe de Hamilton (Ontario) ont été contactés, et parmi eux, 120 pris part à l'étude. Le SPPB et d'autres évaluations ont été réalisés dans le cadre de consultations de routine. Les dossiers médicaux électroniques ont été examinés pour déterminer le nombre de consultations à l'urgence et d'hospitalisations dans l'année qui a suivi l'évaluation de base. Des analyses de régression logistique ont été utilisées pour identifier des prédicteurs des consultations à l'urgence et des hospitalisations. Le score moyen au SPPB dans la cohorte étudiée (moyenne d'âge = 80,6 ans, écart-type = 6,3 ans ; 53 % de femmes) était de 6,3 (écart-type = 3,2). Au cours de cette période d'un an, le score au SPPB était associé au nombre de consultations à l'urgence [RR = 0,90 (0,78-1,03)] et d'hospitalisations [RR = 0,84 (0,72-0,97)], après ajustement pour l'âge, le sexe et les comorbidités. Tools applied at the point of care can provide valuable prognostic information for practitioners. In this one-year, prospective observational study, we examined the association of the short performance physical battery (SPPB) and one-year emergency department (ED) visits and hospitalizations. Overall, 191 new referrals attending an outpatient geriatric clinic in Hamilton, Ontario, were approached, and 120 were enrolled. SPPB and other assessments were completed during the routine clinical visit. ED visits and hospitalizations within one year of the baseline assessment were abstracted from electronic medical records. Logistic regression analyses were used to determine ED visits and hospitalization predictors. The mean SPPB score in the study cohort (mean age 80.6, SD 6.3 years; 53% female) was 6.3 (SD 3.2). SPPB score was associated with a one-year ED visit (OR = 0.90 [0.78–1.03]) and hospitalization (OR = 0.84 [0.72–0.97]) after adjusting for age, sex, and co-morbidities.

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)0.006
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 score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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

Citations9
Published2019
Admission routes3
Has abstractyes

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