Symptom Burden among Hospitalised Older Patients with Heart Failure in Hanoi, Vietnam
Bibliographic record
Abstract
This study aimed to assess the symptom burden among older patients hospitalised for heart failure. This hospital-based, cross-sectional study was conducted at the National Geriatric Hospital, Hanoi, Vietnam, from June 2019 to August 2020. Face-to-face interviews were performed to gather the following information: socio-demographic characteristics, heart failure classification, and clinical characteristics (comorbidities, polypharmacy, pro–B-type natriuretic peptide, left ventricular ejection fraction (LVEF), symptom burden, and depression). Symptom burden was assessed using the Edmonton Symptom Assessment Scale (ESAS), and depression was measured using the Patient Health Questionnaire. A total of 314 patients participated in the study. The mean participant age was 72.67 (SD = 9.42) years. The most frequently reported symptoms on the ESAS were shortness of breath (95.5%), fatigue (94.8%), and anxiety (81.2%). In univariate analyses, depression was significantly associated with heart failure class (p < 0.05). Multivariate linear regression revealed that major depression was significantly associated with total symptom burden score (Beta: 11.74; 95% CI: 9.24–14.23) and LVEF (Beta: −0.09; 95% CI: −0.17–(−0.007)). Patients hospitalised for heart failure experienced a high burden of symptoms. Further studies addressing adverse outcomes and expanding to community-dwelling older people are essential. Palliative care approaches that target symptom reduction should be considered in patients with heart failure.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".