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Record W4408892021 · doi:10.1186/s12882-025-04060-z

Venous Excess Doppler ultrasound assessment and loop diuretic efficiency in acute cardiorenal syndrome

2025· article· en· W4408892021 on OpenAlexaff
Eslam Abu-Naeima, Moataz Fatthy, M. Shalaby, Ghada Ayeldeen, Frederik H. Verbrugge, Philippe Rola, William Beaubien‐Souligny, Ahmed Fayed

Bibliographic record

VenueBMC Nephrology · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersCairo University
KeywordsMedicineDiureticCardiorenal syndromeFurosemideRenal functionLoop diureticAcute decompensated heart failureInternal medicineAcute kidney injuryCardiologyHeart failureProspective cohort studyIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Cardiorenal syndrome poses significant diagnostic and therapeutic challenges. The Venous Excess Ultrasound (VExUS) grading system based on the combination of venous Doppler assessments has shown potential in predicting acute kidney injury and cardiovascular outcomes, but its relevance regarding the management of acutely decompensated heart failure (ADHF) remains to be fully understood. METHODS: In this prospective study, patients with ADHF and acute kidney injury (AKI) were enrolled from a medical intensive care unit over 20 months. The study involved echocardiography and VExUS grading at admission and 72 h later. Data collection included clinical parameters, diuretic dosages, urine output, and fluid balance. Statistical analyses focused on exploring the relationships between VExUS grades and its components, including the renal venous stasis index (RVSI), diuretic efficiency, and renal function improvement. RESULTS: The cohort of 43 patients showed varied VExUS grades at admission. Higher VExUS grades were significantly associated with lower diuretic efficiency. Specifically, the mean urine output per 40 mg of furosemide was 368 ± 213 mL, with patients having VExUS grade 2 or 3 exhibiting reduced diuretic efficiency compared to those with grade 0-1 (Grade 2 vs. Grade 0-1: 333 ± 214 mL vs. 507 ± 189 mL, p = 0.02; Grade 3 vs. Grade 0-1: 270 ± 167 mL vs. 507 ± 189 mL, p = 0.004). The relationship between VExUS grade and diuretic efficiency was independent of admission creatinine and prior use of loop-diuretics (β = -106 CI: -180; -32 p = 0.006). Among the components of venous congestion assessment, the RVSI had the best ability to predict low diuretic efficiency (AUROC: 0.76 (0.60; 091) p = 0.001). Improvement in VExUS grade at 72 h was correlated with significant renal function improvement (84.6% vs. 47.1% for improved vs. non-improved VExUS grades, p = 0.03). CONCLUSION: High VExUS and RVSI grades at admission are independently associated with reduced diuretic efficiency in ADHF patients with AKI. The findings emphasize the clinical value of venous congestion assessment in cardiorenal syndrome management including the selection of an initial diuretic dose.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.714

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.347
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations12
Published2025
Admission routes1
Has abstractyes

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