Evolución de la función renal en pacientes con enfermedad renal crónica con dieta restringida en proteínas suplementada con una mezcla de aminoácidos y cetoanálogos
Bibliographic record
Abstract
INTRODUCTION: chronic kidney disease (CKD) is a public health problem. Low-protein diets supplemented with ketoacids and essential aminoacids have proved effective at different CKD stages. AIM: to assess the progression of renal failure in adult patients with CKD stages 3b and 4 receiving a protein-controlled diet supplemented with aminoacids and ketoanalogues. METHODS: retrospective, descriptive intervention study. The nutritional intervention consisted of a protein/calorie intake of 0.4-0.6 g/kg/day and 30-35 kcal/kg/day plus a tablet of ketoanalogues (Ketosteril®)/5 kg weight. We assessed nutritional condition, glomerular filtration (GF) and creatinine, urea and albumin levels at 0, 3, 6, 9 and 12 months. SPSS version 18 was used for data statistical analysis. RESULTS: thirty-three patients were studied (67% male; mean age 59.7 years, r: 24-87). Protein/calorie intake was 0.55 ± 0.20 g/kg/day and 34 ± 4.51 kcal/kg/day. Ketosteril® intake was 11.87 tablets/day (r: 9-14). Initial GF was 24.97 ± 6.64 ml/min/1.73 m2, showing a significant increase between three and 12 months (25.51 ± 8.57 and 29.26 ± 10.33 ml/min/1.73 m2; p = 0.006). Urea nitrogen decreased significantly at six months compared with the initial level (p < 0.005). Body mass index did not change significantly (initial, 26. 63 ± 4.08 kg/m2; after a year, 26.78 ± 3.98 kg/m2). Initial and final albumin levels were 3.53 ± 0.64 g/l and 4.00 ± 0.53 g/l, respectively (p = 0.79). CONCLUSION: a low-protein diet supplemented with ketoanalogues administered to patients with CKD stages 3b and 4 preserved nutritional condition and mineral balance, improved GF significantly and decreased urea levels.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| 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; 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".