Injury patterns and outcomes associated with elderly trauma victims in Kingston, Ontario.
Bibliographic record
Abstract
OBJECTIVE: To characterize the common injuries incurred by elderly trauma victims and to identify the most frequent complications and outcomes. METHODS: We undertook a retrospective descriptive chart review of 125 consecutive patients who were over age 65 years and who were admitted to an academic hospital in Kingston, Ontario, over a 3-year period with an injury severity score (ISS) > 12. Complete data about the mechanism of injury (MOI), age, date, sex, specific injury, principal and secondary diagnoses, comorbid conditions, intensive care unit (ICU) and hospital length of stay and discharge disposition were recorded for 99 of these patients. RESULTS: Elderly trauma cases accounted for 125 of the total 460 trauma admissions over 3 years. For that same period, more than 50% of trauma deaths occurred among elderly patients, of whom 65 were men and 34 were women. Their mean age was 77 (standard deviation [SD] 6) years, with an age range of 66-95 years. The average ISS score was 23 (SD 13), with a range of 12-75. MOI included falls (64%), motor vehicle collision (27%), injury from machinery (3%), injury from natural and environmental causes (2%), suicide or self-inflicted injury (3%) and burns (1%). The mean length of stay was 14.6 days, but this ranged from 1 to 111 days. Of the 99 patients, 14 were admitted to the ICU for a total of 37 days, and 9 of these died. Of the total of 67 (67%) patients who were discharged from hospital, 46% were discharged home and 32% died. Falls accounted for the most frequent MOI, followed by motor vehicle collisions. The most common injury in the falls group was subdural hematoma, whereas fractures were the most common injuries in the motor vehicle collision group. The most frequent complications included urinary tract infections and aspiration pneumonias. Neither age nor MOI was correlated with injury severity. Increasing age and injury severity were predictors for complications and mortality while in hospital. CONCLUSIONS: Despite severe injuries, most elderly patients can survive traumatic injuries. The data suggest that, although elderly patients are prone to incur complications and have greater risk of dying as a result of their injuries, most of these patients will survive their traumatic accidents. The data also show that nosocomial complications play a significant role in the risk of mortality in elderly trauma victims.
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 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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".