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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".