Sarcopenia, Depresión e Inflamación Crónica, factores asociados a Fragilidad en Adultos Mayores en hemodiálisis crónica en un hospital del sur de Chile
Bibliographic record
Abstract
Introduction: Chile has the highest prevalence of hemodialysis patients in South America, with 1260 patients per million inhabitants, 56% of whom are older adults. Currently, the prevalence of frailty in this group is unknown in Latin America. Objective: Determine the frailty of older adults on chronic hemodialysis at Angol Hospital and identify associated factors.Material and Methods: This is an observational, quantitative, and cross-sectional study, applying the FRAIL test as a diagnostic tool for frailty. Screening for depressive symptoms was carried out using the PHQ9 test, measurement of inflammatory status with the Malnutrition Inflammation Score (MIS), and evaluation of subjective quality of life with the Edmonton Symptom Assessment System Revised Renal (ESAS-r: Renal) test. In parallel, a Sarcopenia screening was carried out using bioimpedance following the criteria of the European Working Group on Sarcopenia in Older People.Results: 32 older adults on dialysis were evaluated. The prevalence of frailty was 25% (n=8). The presence of severe sarcopenia (p 0.00), history of falls in the last 6 months (p 0.00), elevated Parathyroid hormone levels (p 0.04), and poor performance on the Short Physical Performance Battery was associated with frailty (p 0.00), and elevated inflammation markers through the Malnutrition Inflammation Score (p 0.00). Frail patients scored higher in the subjective quality of life test Edmonton Symptom Assessment System- Renal (21, 8 vs. 47.5 p 0.00) and PHQ9 (7.5± 6.0 vs 3.8± 3.0 p: 0.01).Discussion: The prevalence was somewhat lower than the reported in the literature; however, phenotypically, it corresponds to a high-risk profile: sarcopenic, with a poor quality of life and marked by a pro-inflammatory microenvironment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".