Symptom Burden in Patients With Home Care Who Are at Risk for Malnutrition: A Cross-Sectional Study
Bibliographic record
Abstract
In Sweden, patients in early palliative stages of illness are cared for in primary care and often offered home care. Many are older and at risk for malnutrition, but little is known about their symptom burden and nutritional problems. This cross-sectional study divided older patients in home care into those with and without risk for malnutrition and compared symptom burden in the 2 groups. Participants were patients in Stockholm County (n = 121) in early palliative stages of disease cared for at home by primary care professionals from 10 health-care centers. The Mini Nutritional Assessment (MNA) was used to identify risk for malnutrition. Symptoms and/or nutritional status in patients with and without risk were assessed with the Functional Assessment of Anorexia/Cachexia Therapy (FAACT), Patient-Generated Subjective Global Assessment Short Form (PG-SGA), and Edmonton Symptom Assessment System (ESAS). Forty-two percent of the patients were at risk for malnutrition (MNA). Appetite ( P = .012), tiredness ( P = .003), and anxiety ( P = .008) were worse in these patients than in those without risk (ESAS; significance level, P ≤ .015). Patients at risk were also more concerned about how thin they looked ( P = .006), agreed more strongly that their family or friends were pressuring them to eat ( P = .000; FAACT; significance level, P ≤ .029), had a higher symptom burden ( P = .005), had lower physical activity ( P = .000), and more lost weight over time ( P = .032; PG-SGA; significance level, P ≤ .040). This study adds a more detailed picture of the symptom burden in older patients at risk for malnutrition. Such information is needed to identify risk for malnutrition earlier and improve patients’ health.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".