The Impact of Nonelective Abdominal Surgery on the Residential Status of Older Adult Patients
Bibliographic record
Abstract
OBJECTIVE: To describe the change in residential status at discharge and 6 months after hospitalization among older adults who have undergone nonelective abdominal surgery and to identify risk factors associated with discharge to institution. BACKGROUND: Surgery in older adults may lead to a loss of independence that prevents them from returning to their preadmission residential status. Understanding the impact of surgery on residential status and risk factors for institutionalization is important for patient counseling, discharge planning, and resource allocation. METHODS: Community-dwelling patients aged 70 years and older who underwent nonelective abdominal surgery over a 15-month period were prospectively enrolled. Residential status before admission, at discharge, and 6 months after admission was assessed. Multiple logistic regression was used to identify factors associated with discharge to institution. RESULTS: Of the 197 patients who underwent surgery and survived to discharge, 30% were living alone before admission and 70% were living with others. At discharge, 72% of patients returned to their preadmission residential status and 22% were institutionalized. Six months after hospitalization, 55% of institutionalized patients had returned to community-living, and 79% of all patients had returned to their preadmission residential status. Change in residential status was associated with decreased quality of life. Increasing American Society of Anesthesiologists score, frailty, surgery for malignancy, and postoperative complications were associated with discharge to institution. CONCLUSIONS: The majority of older patients, including those who were discharged to an institution, returned to their preadmission residential status 6 months after nonelective abdominal surgery.
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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 | 0.000 | 0.004 |
| 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) | 0.001 | 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".