Clinical profile of heart failure in geriatric patients in a tertiary cardiac hospital of Bangladesh
Bibliographic record
Abstract
This study included 100 geriatric patients admitted at National Institute of Cardiovascular Diseases (NICVD) in Bangladesh having clinical features of heart failure, possible other information (Framingham Criteria) and increase in natriuretic peptide or echocardiographic findings. It was a single center, cross sectional study. Regarding functional NYHA classification, 14 % presented with class I, 30 % with class II, 35 % presented with class III, 21 % presented with class IV heart failure. Regarding left ventricular ejection fraction (LVEF), heart failure (HF) was classified into the following categories: (1) HF with reduced EF (HFrEF) - 19 %; (2) HF with improved EF (HFmpEF) - 13 %; (3) HF with mildly reduced EF (HFmrEF) - 22 % and (4) HF with preserved EF (HFpEF) - 46 % . 23 % of the study population had iron deficiency anemia and about one-third-patient had associated renal failure (AKI/CKD). This study revealed that a significant geriatric population has unrecognized heart failure (HFpEF).
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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 | 0.001 | 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".