Symptom Presentation in Patients Hospitalized with Acute Heart Failure
Bibliographic record
Abstract
OBJECTIVES: The objectives of this study were to examine the type and frequency of symptoms in patients hospitalized with acute heart failure (HF) as well as the relationship between symptom patterns and patient characteristics, treatment practices, and hospital outcomes in patients hospitalized with decompensated HF. METHODS: The study sample consisted of 4537 residents of the Worcester, MA metropolitan area hospitalized for decompensated HF at 11 greater Worcester medical centers in 1995 and 2000. RESULTS: The average age of the study sample was 76 years; the majority (57%) were women, and three-quarters of our patient population had been previously diagnosed with HF. Dyspnea (93%) was the most frequent complaint reported by patients followed by the presence of peripheral edema (70%), cough (51%), orthopnea (37%), and chest pain/discomfort (30%). Patients reporting few cardiac symptoms were less likely to be treated with effective cardiac therapies during hospitalization than patients with multiple cardiac signs and symptoms and experienced higher hospital (9.7% vs. 7.7%) as well as 30-day (17.1% vs. 10.2%) death rates (P < 0.05). CONCLUSIONS: The results of this study in residents of a large New England community suggest that patients with fewer reported symptoms of decompensated HF were less likely to receive effective cardiac treatments and had worse short-term outcomes. Reasons for these differences in treatment practices and short-term outcomes need to be elucidated and attention directed to these high-risk patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".