PS1-09: Clinical Features, Treatment Practices, and Outcomes of Older Patients Hospitalized with Decompensated Heart Failure
Bibliographic record
Abstract
Background: Heart failure (HF) disproportionately affects older adults and previous studies have suggested that the demographic as well as clinical profile of older patients with HF is different from that of younger patients. However, generalizable, population-based data on the clinical, treatment, and prognostic profile of older as compared to middle aged and younger patients with HF are lacking. Methods and Results: Residents of the Worcester (MA) metropolitan area hospitalized for de-compensated HF at 11 greater Worcester medical centers during 1995 and 2000 (n=4,534) were compared according to 4 age groups (<65, 65–74, 75–84, and >85 years). The mean age of patients with acute HF was 76 years and 24% were >85 years. Older patients (>75) were more likely to be female and to have higher ejection fraction findings, multiple comorbidities, and a lower body mass index. Older patients were significantly more likely to receive symptom modifying medications and less likely to receive disease modifying medications than younger patients. Advanced age was directly associated with increased in- hospital, 30-day, and 1-year death rates in both crude and adjusted analyses. Conclusions: The results of this communitywide study suggest that clinical, treatment, and prognostic factors differ by age in patients hospitalized for de-compensated HF. These high-risk patients warrant special attention in future studies in order to improve their management and long-term survival.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".