The impact of delayed mobilization on post-discharge outcomes after emergency abdominal surgery: A prospective cohort study in older patients
Bibliographic record
Abstract
Surgeons are increasingly treating seniors with complex care needs who are at high-risk of readmission and functional decline. Yet, the prognostic importance of post-operative mobilization in older surgical patients is under-investigated and remains unclear. Thus, we evaluated the relationship between post-operative mobilization and events after hospital discharge in older people. Overall, 306 survivors of emergency abdominal surgery aged ≥65y who required help with <3 activities of daily living were prospectively followed at two Canadian tertiary-care hospitals. Time until mobilization after surgery was attained from hospital charts and a priori defined as 'delayed' (≥36h) or 'early' (<36h). Primary outcomes for 30-day and 6-month all-cause readmission/death after discharge were assessed in multivariable logistic regression. Patients had a mean age of 76 ± 7.7 years, 45% were women, 41% were 'vulnerable-to-moderately-frail', according to the Clinical Frailty Scale. Most common reasons for admission were gallstones (23%), intestinal obstructions (21%), and hernia (17%). Median time to post-operative mobilization was 19h (interquartile range 9-35); 74 (24%) patients had delayed mobilization. Delayed mobilization was independently associated with higher risk of 30-day readmission/death (19 [26%] vs. 22 [10%], P<0.001; adjusted odds ratio [aOR] 2.24, 95%CI 0.99-5.06, P = 0.05), but this was not statistically significant at 6-months (38 [51%] vs. 64 [28%], P<0.001; aOR 1.72, 95%CI 0.91-3.25, P = 0.1). One-quarter of older surgical patients stayed in bed for 1.5 days post-operatively. Delayed mobilization was associated with increased risk of short-term readmission/death. As older, more frail patients undergo surgery, mobilization of older surgical patients remains an understudied post-operative factor. Trial registration: clinicaltrials.gov identifier: 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 | 0.001 | 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 | 0.001 | 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".