Association of frailty with nutritional parameters in patients with chronic kidney disease
Bibliographic record
Abstract
Objectives: Frailty is a significant clinical syndrome characterized by greater susceptibility to stressors due to the dysfunction of multiple organ systems, which increases in prevalence with age. This study was performed to investigate relations between frailty and nutritional parameters in patients with chronic kidney disease (CKD). Methods: This cross-sectional study involved 100 CKD patients aged 50 years or older. Frailty was assessed using the Edmonton Frailty Scale (EFS) and Fried’s Frailty Scale (FFS). The patients nutritional status was assessed using the Mini Nutritional Assessment (MNA) and the routine laboratory tests. Results: The study included 100 patients, consisting of 41 females and 59 males. The mean age of the participants was 65.3±9.3 years. The median glomerular filtration rate (GFR) of the patients was 23 mL/min/1.73 m2) (min: 3-max: 65). According to the MNA, 15 patients had normal nutritional status, 63 were at risk of malnutrition, and 22 were malnourished. According to the EFS score, four patients were categorized as not frail, 11 as vulnerable, 25 with mild frailty, 21 with moderate frailty, and 39 with severe frailty. According to the FFS score, six patients were non-frail, 30 were classified as pre-frail, and 64 were considered frail. Conclusions: Frailty and malnutrition in patients with CKD were independently related to all other factors examined in this study. Screening for malnutrition at the early stages in patients with CKD and the appropriate treatment may prevent the development of frailty.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".