The Effect of Frailty on Independent Living After Surgery: A Population-Based Retrospective Cohort Study
Bibliographic record
Abstract
BACKGROUND: Most people value quality of life over mere duration. At least 50% of people are extremely averse to ever living in a nursing home (NH). OBJECTIVES: Assess whether pre-operative frailty is associated with new, post-operative NH placement. DESIGN, SETTING: Retrospective, population-based cohort study in the Canadian province of Manitoba, 2000-2017. PARTICIPANTS: 7408 persons ≥65 years undergoing any of 16 specific, elective, noncardiac surgeries of varying Operative Surgical Stress (OSS). MEASUREMENTS: The primary outcome was new admission to a NH, or being placed on a waiting list for a NH, within 180 days of index hospital admission, among index hospital survivors. Frailty was assessed from administrative data by the Preoperative Frailty Index (pFI), which ranges 0-1. Other outcomes were 30-day and 90-180 day mortality, and post-hospital medical resource use to 180 days. Analyses used multivariable regression models, adjusted for age, sex, OSS, year of surgery, anesthetic technique, and socioeconomic status. P-values were adjusted for the six outcomes. RESULTS: Subjects had mean age (±SD) of 74±7 yrs; 61% were male. pFI ranged 0-0.68, with a mean±SD of 0.21±0.09. All six outcomes were significantly associated with greater frailty. Each additional 0.1 unit increase in pFI was associated with a hazard ratio for new NH admission or wait-listing of 3.01 (p<0.0006). CONCLUSIONS: While our study agrees with prior work indicating that greater frailty is associated with higher probability of post-operative discharge to a NH, it overcomes a number of limitations of all prior work. Strong arguments follow that prospective surgical candidates be evaluated for their degree of frailty, and that their informed consent include discussion of the possibility of survival with loss of independence.
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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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".