Prognosis and Determinants of Survival in Patients Newly Hospitalized for Heart Failure
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The prognosis in unselected community-dwelling patients with heart failure has not been widely studied. OBJECTIVE: To determine the short- and long-term mortality of patients after first hospitalizations for heart failure and to examine how age, sex, and comorbidities influence survival. METHODS: We used the Canadian Institute for Health Information database to construct a retrospective population-based cohort of 38 702 consecutive patients with first-time admissions for heart failure from April 1994 through March 1997 in Ontario, Canada. Prognostic variables were collected from hospital discharge abstracts. Vital status at 30 days and 1 year was determined through linkage with the Ontario Registered Persons Database. Regression analyses were used to identify the relationships among survival, age, sex, and comorbidities. RESULTS: The crude 30-day and 1-year case-fatality rates after first admissions for heart failure were 11.6% and 33.1%, respectively. Advancing age, male sex, and the presence of comorbidities as identified by the Charlson Index were independently associated with poorer survival. The 30-day and 1-year mortality ranged from 2.3% and 7.6%, respectively, in the youngest subgroup with minimal comorbidity to 23.8% and 60.7%, respectively, in the oldest comorbidity-laden subgroup. Complex interactions among age and sex, sex and comorbidities, and age and comorbidities were observed in models of short- and long-term survival. CONCLUSIONS: The prognosis of unselected community-dwelling patients with heart failure remains poor, despite advances in treatment, with substantial variation seen across different subgroups. Although age, sex, and comorbidities were confirmed to be independent prognostic indicators of heart failure, their complex interaction with survival should be considered in future studies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it