Quality of life and long-term outcomes of octo- and nonagenarians following acute care surgery: a cross sectional study
Bibliographic record
Abstract
BACKGROUND: While advanced age is often associated with poorer surgical outcomes, long-term age-related health status following acute care surgery is unknown. The objective of our study was to assess post-operative cognitive impairment, functional status, and quality of life in elderly patients who underwent emergency surgery. METHODS: We identified 159 octo- and nonagenarians who underwent emergency surgery between 2008 and 2010 at a single tertiary hospital. Patients were grouped into three cohorts: 1, 2, and 3 years post-operative. We conducted a survey in 2011, with octo- and nonagenarians regarding the impact of emergency surgical procedures. Consenting participants responded to four survey questionnaires: (1) Abbreviated Mental Test Score-4, (2) Barthel Index, (3) Vulnerable Elders Survey, and (4) EuroQol-5 Dimensional Scale. RESULTS: Of the 159 octo- and nonagenarians, 88 (55.3%) patients were alive at the time of survey conduction, and 55 (62.5%) of the surviving patients consented to participate. At 1, 2, and 3 years post-surgery, mortality rates were 38.5%, 44.7%, and 50.0%, respectively. More patients had cognitive impairments at 3 years (33.3%) than at 1 (9.5%) and 2 years (9.1%) post-operatively. No statistical difference in the ability to carry out activities of daily living or functional decline with increasing time post-operatively. However, patients perceived a significant health decline with the greater time that passed following surgery. CONCLUSIONS: Our study showed that half of the patients over the age of 80 are surviving up to 3 years post-operatively. While post-operative functional status appears to be stable across the 3 cohorts of patients, perceived health status declines over time. Understanding the long-term post-operative impact on cognitive impairment, functional status, and quality of life in elderly patients who undergo acute care surgery allows health care professionals to predict their patients' likely post-operative needs.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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".