Comparison of Risk Factors for Falls in the Old and the Oldest Old Admitted to the Emergency Department
Bibliographic record
Abstract
Background: Falls can cause a wide range of consequences from a simple injury to life-threatening situations. As falls are a major cause of mortality and morbidity in older adults, it is important to identify risk factors. Our aim was to evaluate fall risk factors in geriatric patients presenting to the emergency department with fall and to evaluate the variability of fall risk factors in the group below and above 85 years of age (oldest old). Materials and Methods: A total of 132 geriatric patients admitted to the emergency department of a univer-sity hospital due to falls were retrospectively analysed. Demographic characteristics and chronic diseases of patients, number of drugs, previous fall history, unintentional weight loss, depressive symptoms, anaemia, urinary incontinence, fear of falling, orthostatic hypotension were recorded. Edmonton frail scale, clock-draw-ing test and geriatric depression scale score was also evaluated. Results: The mean age of our study population was 80.5 ±8.3. While 80 (60.6%) of the patients were below 85 years of age, 52 (39.4%) were aged 85 years and older. 62 (47%) of the patients were frail and orthostatic hypotension was found in 10 (7.6%) of the patients. Fear of falling was observed in 67 (50.8%) patients. Polypharmacy was present in 62 (47%) patients. Frequency of diabetes mellitus, frailty, fear of falling, walking aid usage and the need for a regular caregiver were significantly higher and clock-drawing test score was lower in the oldest old group (p<0.05, for all). Conclusions: Falls are common in older patients. Our study clearly revealed the frequency of fall risk factors in the geriatric population admitted to the emergency department. The frequency of frailty was higher in the oldest old (over 85 years old) who presented with falls, and fear of falling was found in these patients even if there was no previous history of falling. Necessary precautions should be taken considering the negative con-sequences of falls.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".