Point-of-Care Ultrasonography and Worsening of Renal Function in Acute Heart Failure: A Cohort Study
Bibliographic record
Abstract
Introduction: The goal of this study was to investigate the association between worsening renal function (WRF) and central venous pressure, right ventricular function, and lung fluid overload assessed by point-of-care ultrasound (POCUS) in hospitalized patients with acute heart failure (AHF). Methods: This was a prospective cohort study including AHF adult inpatients, conducted in Geneva University Hospitals from October 2019 to March 2020. The primary outcome was WRF, defined by an increase in creatinine of ≥1.5 times from baseline value or an increase of ≥0.3 mg/dL between admission and day 4 to 6. Expert ultrasonographers used POCUS to examine lungs, inferior vena cava during spontaneous expiration (IVCe), and tricuspid annular plane systolic excursion (TAPSE) at admission. Results: A total of 43 patients were included in the study. A total of 8 patients (19%) developed WRF during the study period (between October 8, 2019 and March 16, 2020), of whom 4 were in the higher quartile of lung fluid overload, 2 had TAPSE <14 mm, and 4 had IVCe ≥ 21 mm. In uni- and multi-variate logistic regression model, neither admission IVCe nor TAPSE was associated with WRF. However, lung congestion, as assessed by the number of B-lines, was significantly associated with WRF (odds ratio [OR] per quartile = 2.47, 95% confidence interval [CI] = 1.01 to 5.86, P = .04). This result remained statistically significant after adjustment for daily diuretic dose in mg/kg (OR = 2.98, 95% CI = 1.11 to 8.00, P = .03). Conclusion: This study showed that lung congestion as assessed by POCUS was associated with WRF in AHF patients, whereas IVCe and TAPSE were not. Due to the small number of participants, our results need to be prospectively validated in future adequately powered clinical trials.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".