Relationship between altered taste and smell with malnutrition among hemodialysis patients
Bibliographic record
Abstract
INTRODUCTION: Alterations in taste and smell are among the most distressing symptoms experienced by haemodialysis patients. There is limited research on the relationship between these two symptoms and malnutrition in haemodialysis patients. This study aimed to investigate alterations in taste and smell in hemodialysis patients and their relationship with malnutrition. METHODS: This cross-sectional study was carried out with 149 hemodialysis patients at the dialysis centers of three state hospitals. The Taste and Smell Dysfunction Questionnaire was used to assess the changes in patients' taste and smell, and the Prognostic Nutritional Index (PNI), as well as the Controlling Nutritional Status (CONUT) tool, were utilized to evaluate their nutritional status. FINDINGS: A substantial percentage (45.6%) of patients reported an altered sense of smell, and 40.2% reported an altered sense of taste. The aspect of taste that was most abnormal was bitterness (46.7%); 53.0% of the patients were at moderate risk of malnutrition by PNI score, and 14.8% were categorized as malnourished by CONUT score. Malnutrition was related to dialysis vintage: a 1-year increase in vintage was associated with an increased risk of malnutrition (OR: 1.17, 95% CI 1.02-1.32, p < 0.001). Altered taste was associated with malnutrition: one-unit increase in the standard deviation of the taste subdimension score was associated with a relative risk of malnutrition (OR: 6.89, 95% CI 1.67-28.39, p < 0.001). A one-unit increase in the standard deviation of the smell subdimension was associated with relative risk of malnutrition (OR: 1.35, 95% CI 1.10-1.64, p < 0.001). DISCUSSION: Malnutrition was found in a significantpercentage of hemodialysis patients. Altered taste and smell and the durationof dialysis treatment were significantly associated with malnutrition scores It isrecommended that healthcare professionals regularly assess alterations in tasteand smell in hemodialysis patients, as these alterations may be associated withmalnutrition, and manage these alterations accordingly.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".