Impact of frailty on outcomes after discharge in older surgical patients: a prospective cohort study
Bibliographic record
Abstract
BACKGROUND: Frailty is a state of vulnerability to diverse stressors. We assessed the impact of frailty on outcomes after discharge in older surgical patients. METHODS: We prospectively followed patients 65 years of age or older who underwent emergency abdominal surgery at either of 2 tertiary care centres and who needed assistance with fewer than 3 activities of daily living. Preadmission frailty was defined according to the Canadian Study of Health and Aging Clinical Frailty Scale as “well” (score 1 or 2), “vulnerable” (score 3 or 4) or “frail” (score 5 or 6). We assessed composite end points of 30-day and 6-month all-cause readmission or death by multivariable logistic regression. RESULTS: Of 308 patients (median age 75 [range 65–94] yr, median Clinical Frailty Score 3 [range 1–6]), 168 (54.5%) were classified as vulnerable and 68 (22.1%) as frail. Ten (4.2%) of those classified as vulnerable or frail received a geriatric consultation. At 30 days after discharge, the proportions of patients who were readmitted or had died were greater among vulnerable patients (n = 27 [16.1%]; adjusted odds ratio [OR] 4.60, 95% confidence interval [CI] 1.29–16.45) and frail patients (n = 12 [17.6%]; adjusted OR 4.51, 95% CI 1.13–17.94) than among patients who were well (n = 3 [4.2%]). By 6 months, the degree of frailty independently and dose-dependently predicted readmission or death: 56 (33.3%) of the vulnerable patients (adjusted OR 2.15, 95% CI 1.01–4.55) and 37 (54.4%) of the frail patients (adjusted OR 3.27, 95% CI 1.32–8.12) were readmitted or had died, compared with 11 (15.3%) of the patients who were well. INTERPRETATION: Vulnerability and frailty were prevalent in older patients undergoing surgery and unlikely to trigger specialized geriatric assessment, yet remained independently associated with greater risk of readmission for as long as 6 months after discharge. Therefore, the degree of frailty has important prognostic value for readmission. Trial registration for primary study ClinicalTrials.gov, no. NCT02233153
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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 | 0.002 | 0.003 |
| 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".