Geriatric cognitive frailty and short-term prognosis following hip fracture surgery
Bibliographic record
Abstract
BACKGROUND: To evaluate the prevalence of cognitive frailty in geriatric patients with hip fractures and to assess its association with short-term postoperative complications following surgical intervention. METHODS: This single-centre observational study enrolled geriatric patients (aged ≥ 65 years) undergoing surgical intervention for hip fracture. Patients were stratified into cognitive frailty and non-cognitive frailty groups based on assessments using the FRAIL scale and the Montreal Cognitive Assessment (MoCA). Clinical outcomes, including duration of hospitalisation and postoperative complications (e.g., cardiovascular, pulmonary, cerebrovascular, gastrointestinal events, and delirium), were compared between the cohorts. Multivariable logistic regression analysis was employed to identify independent risk factors for postoperative complications. RESULTS: A total of 159 patients (mean age: 81.35 ± 8.44 years) were enrolled, of whom 28.3% were classified as having cognitive frailty. Compared to the non-frail group, the cognitive frailty group exhibited a significantly longer hospital stay (15.6 ± 3.3 days vs. 13.9 ± 2.7 days, P < 0.05) and a higher incidence of postoperative complications (24.4% vs. 8.8%, P = 0.011). Multivariate analysis identified cognitive frailty (OR = 2.73, 95% CI: 1.03-7.25) and the Charlson Comorbidity Index (CCI) (OR = 1.31, 95% CI: 1.01-1.70) as independent risk factors for postoperative complications. CONCLUSION: Cognitive frailty is highly prevalent among elderly patients with hip fractures and represents an independent predictor of short-term postoperative complications. Early identification of cognitive frailty could enhance risk stratification and perioperative management for this vulnerable population.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".