Avaliação do estado cognitivo e fragilidade em idosos mais velhos, residentes no domicílio
Bibliographic record
Abstract
As a result of increased population aging, an important rise in morbidity can be verified, not only referent to the emergence of chronic illnesses, but also the detection of important cognitive changes and physical disabilities. One example is frailty, a syndrome defined as a physiological condition of greater vulnerability to stressors, involving biological, physical, cognitive, social, economic and environmental factors. Thus, the objective in this study was to assess the cognitive status, using the Mini-Mental State Examination (MMSE), and frailty through the Edmonton Frail Scale (EFS), as well as to identify the relations between the cognitive function and frailty in elder elderly living at home. A cross-sectional observation study was undertaken. Data were collected at home with ethics committee approval. Fifty elderly were interviewed with a mean age of 84.48 years, mostly female, married and predominantly with low education levels. It was observed that 83.3% of non-frail elderly do not display any cognitive deficit. Among the frail elderly, 20.4% presented cognitive deficit, 30% of whom were women. A correlation was verified between the gross MMSE score, age and frailty in the study sample. From these data, there is the importance of a multidimensional geriatric evaluation with special attention to the cognitive state and frailty. It’s suggested that the MMSE and EFS are instruments to used in this assessment of the elderly.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.034 |
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; both teacher heads agree on what is shown here.
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".