Impacts of Right Ventricular Function and Venous Congestion on Renal Response During Depletion in Acute Heart Failure
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Bibliographic record
Abstract
AIMS: Venous congestion is a major determinant of worsening renal function (WRF) in acute decompensated heart failure (ADHF), particularly when associated with right ventricular (RV) dysfunction. Whether the individual impacts of hemodynamic variables on renal outcomes in ADHF is modified according to RV function remains unclear. We aimed to determine the association between hemodynamic parameters and early changes in renal function during depletive therapy and explore the association of these changes with clinical outcomes. METHODS AND RESULTS: WRF was defined as any increase in creatinine after 24 h of depletive therapy and improvement in renal function (IRF) as any decrease. Assessments were prospectively obtained on admission, 24 h later and at discharge. Out of the 105 patients enrolled, 45% had IRF, and 41% had poor RV. At baseline, patients evolving towards IRF had a lower mean arterial pressure (84.7 ± 13.9 vs. 90.9 ± 15.2 mmHg), a lower renal perfusion pressure (69.4 ± 16.2 vs. 75.4 ± 15.1 mmHg), and a poorer RV function (tricuspid annular plan systolic excursion 16.5 ± 6.0 vs. 18.8 ± 5.6 mm) in comparison with those with WRF (all P < 0.05). In a multivariate linear regression model, tricuspid annular plane systolic excursion was the dominant parameter correlated with early changes in creatinine when RV was poor (β = 0.337), whereas mean arterial pressure (β = -0.334) and cardiac output (β = -0.298) were the only parameters correlated with renal function in patients with preserved RV function (all P < 0.05). RV dysfunction, but not early changes in renal function, was associated with post-discharge clinical events. CONCLUSIONS: RV dysfunction is a predictor of an early but transient progression to IRF during depletive therapy. RV dysfunction modifies the individual impact of various hemodynamic variables on the early trajectory of renal function in ADHF.
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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) | 0.000 | 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 it