Clinical and Nutritional Variables Associated with Hospital Stay Days in Older Adults with CKD
Bibliographic record
Abstract
Background: Malnutrition in hospitalized patients with chronic kidney disease (CKD) is a prevalent condition that is related to mortality, higher costs, and prolonged hospital stays, as well as higher hospital readmissions. The relationship between specific nutritional parameters and the days of hospital stay in our population with chronic kidney disease (CKD) has been little explored. We aimed to evaluate the association of days of hospital stay with different nutritional parameters and determine their relationship with hospital readmission. Methods: Data was analyzed from the database of a retrospective cohort from 2007 to 2021 of patients with CKD who received nutritional care from our service. We included patients >60 years, both sexes, with at least one serum albumin, weight, and height record. Patients with terminal cancer, treatment with some renal replacement therapy, or with missing data were excluded. Results: 419 patients were analyzed; those with longer days of hospital stay (>seven days) decreased serum albumin concentrations, and so did those with CKD stages 3Gb – 5, as well as lower scores in geriatric nutritional risk index (GNRI). Any degree of malnutrition assessed with the subjective global assessment was associated with a greater probability of prolonged stays (Table 1). No significant associations with hospital readmission were observed. Conclusion: the detection and classification of malnutrition were related to longer days of hospital stay in patients with CKD.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| 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".