Epidemiology and Short-Term Outcomes of Heart Failure With Preserved and Mildly Reduced Ejection Fraction in Colombia: Insights of the Colombian Heart Failure Registry (RECOLFACA)
Bibliographic record
Abstract
Background: Heart failure with preserved or mildly reduced ejection fraction (HFpEF/HFmrEF) has differences in therapy and development when compared with HF with reduced EF (HFrEF). We aimed to describe the clinical characteristics and all-cause mortality of patients with HFpEF/HFmrEF compared to those with HFrEF from the Colombian Heart Failure Registry (RECOLFACA). Methods: RECOLFACA included Colombian adult patients with ambulatory HF recruited from 2017 to 2019. All-cause mortality was our main outcome. We used the Kaplan-Meier method, life table, and Cox proportional hazard models to evaluate the role of the comorbidities on mortality, with a significant P-value of < 0.05. All statistical tests were two-tailed. Results: We included 2,514 patients, and 1,139 (45.3%) had a diagnosis of HFpEF or HFmrEF. HFpEF/HFmrEF diagnosis was not significantly related to either higher or lower risk of mortality compared to an HFrEF diagnosis; however, the individual risk factors for this outcome varied between the two groups. Health-related quality of life (HRQL) was a common risk factor for both groups. Conclusion: Although the EF classification was not a significant risk factor for mortality, patients with HFpEF/HFmrEF exhibited a unique profile of risk factors for mortality, the HRQL, highlighting the relevance of an adequate classification of the HF patients.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".