Relationship Between Cardiac Structure and Function With Renal Function Trajectory and Outcomes in Patients With Heart Failure: Insights From the PARAGON-HF Trial
Bibliographic record
Abstract
BACKGROUND: Renal dysfunction is common and associated with a poor prognosis in patients with heart failure. However, the association of cardiac structure and function with decline in kidney function in this population is unknown. We aimed to assess the association between individual measures of cardiac structure and function with changes in renal function and renal outcomes in patients with heart failure with preserved ejection fraction. METHODS: Patients enrolled in the PARAGON-HF (Prospective Comparison of Angiotensin Receptor-Neprilysin Inhibitor With Angiotensin-Receptor Blockers Global Outcomes in Heart Failure With Preserved Ejection Fraction) echocardiographic substudy were included. The association between each echocardiographic parameter (expressed in standardized units) and changes over time in estimated glomerular filtration rate was calculated with repeated-measures mixed-effect models. Multivariable Cox proportional hazards models were used to identify individual cardiac parameters associated with the composite renal outcome (≥50% decline in estimated glomerular filtration rate relative to baseline, development of end-stage renal disease, or death attributable to renal causes), after adjusting for covariates. RESULTS: /y per 1 higher SD). Higher LV mass index, LV end-diastolic volume index, right ventricular end-diastolic area, and a lower right ventricular fractional area change were each associated with a significantly higher risk for the composite renal outcome. CONCLUSIONS: In the PARAGON-HF echocardiographic substudy, higher LV mass and filling pressures were independently associated with more profound kidney function decline, and higher LV mass and volume, as well as impaired right ventricular structure and function, were each associated with renal events. Assessing these parameters may help identify patients with heart failure with preserved ejection fraction at higher risk for adverse renal events and indicate potential therapeutic targets. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01920711.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".