19COMPARING THE PREVALENCE OF FRAILTY ON VASCULAR SURGERY AND GERIATRIC MEDICINE WARDS
Bibliographic record
Abstract
Background: The Countess of Chester Hospital is a district general hospital with a regional tertiary referral vascular surgery service. Introduction: Anecdotally, vascular inpatients experienced high levels of frailty and encountered typical ‘geriatric’ problems. We felt patient care could be improved with regular geriatric medicine input. We wanted to compare levels of frailty between vascular and geriatric wards in order to demonstrate the demand for a geriatric liaison service. Methods: The geriatrics and vascular teams collaborated to assess levels of frailty across the two departments. A random selection of inpatients, age ≥ 65 years, was assessed during November 2018 using evidence-based screening tools for frailty and cognitive impairment. The Rockwood Clinical Frailty Scale and Edmonton Score were used in conjunction with Charlson Comorbidity Index and 4AT. Regular medications were recorded. Interventions: We have developed a geriatric medicine liaison service providing twice weekly consultant-delivered review to frail vascular inpatients. Focus is on management of perioperative complications, polypharmacy, discharge planning and, when appropriate, end-of-life care. Results: N = 30, age range 66–94 years. Results demonstrated comparable prevalence of frailty between the vascular and geriatric wards. Vascular patients were, on average, nine years younger but scored similarly on Rockwood and Edmonton. Polypharmacy was more prevalent in the vascular cohort. We did not demonstrate a significant difference in levels of cognitive impairment between the two groups. Conclusions: Older vascular surgery inpatients appear to be as prone to frailty and polypharmacy as the inpatient geriatric medicine population. Vascular patients appear to reach equivalent levels of frailty at a younger age compared to their geriatric medicine counterparts. These results support the routine involvement of specialist geriatricians in the care of older vascular inpatients.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".