Factors related to functional prognosis in elderly patients after accidental hip fractures: a prospective cohort study
Bibliographic record
Abstract
BACKGROUND: A restriction in functional capacity occurs in all hip fractures and a variety of factors have been shown to influence patient functional outcome. This study sought to provide new and comprehensive insights into the role of factors influencing functional recovery six months after an accidental hip fracture. METHODS: A prospective cohort study was conducted of patients aged 65 years or more who attended the Emergency Room (ER) for a hip fracture due to a fall. The following were studied as independent factors: socio-demographic data (age, sex, instruction level, living condition, received help), comorbidities, characteristics of the fracture, treatment performed, destination at discharge, health-related quality of life (12-Item Short Form Health Survey) and hip function (Short Western Ontario and McMaster Universities Osteoarthritis Index). As main outcome functional status was measured (Barthel Index and Lawton Instrumental Activities of Daily Living Scale). Data were collected during the first week after fracture occurrence and after 6 months of follow-up. Patients were considered to have deteriorated if there was worsening in their functional status as measured by Barthel Index and Lawton IADL scores. Factors associated with the outcome were studied via logistic regression analysis. RESULTS: Six months after the fall, deterioration in function was notable, with mean reductions of 23.7 (25.2) and 1.6 (2.2) in the Barthel Index and Lawton IADL Scale scores respectively. Patients whose status deteriorated were older, had a higher degree of comorbidity and were less educated than those who remained stable or improved. The multivariate model assessing the simultaneous impact of various factors on the functional prognosis showed that older patients, living with a relative or receiving some kind of social support and those with limited hip function before the fall had the highest odds of having losses in function. CONCLUSION: In our setting, the functional prognosis of patients is determined by clinical and social factors, already present before the occurrence of the fracture. This could make it necessary to perform comprehensive assessments for patients with hip fractures in order to identify those with a poor functional prognosis to tackle their specific needs and improve their recovery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".