Evidence map›Paper›PMID 40475748›Full record

ArticleReviews in cardiovascular medicine2025

Cardiac Indices Parameters on the Ultrasonic Cardiac Output Monitor as Potential Indicators to Predict the Ultrafiltration Endpoint Success in Acute Heart Failure Treatment.

Yiou Li, Jiajia Chen, Jianye Bian, Fangyuan Chen, Qianli Wan, Fang Yuan

Registry-linked trialAbstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06533124 (Parameters of Cardiac Indices on the Ultrasonic Cardiac Output Monitor As Potential Indicators for Predicting the Achievement of Ultrafiltration Endpoint for Acute Heart Failure Treatment), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06533124 nacompletednot on this map

Parameters of Cardiac Indices on the Ultrasonic Cardiac Output Monitor As Potential Indicators for Predicting the Achievement of Ultrafiltration Endpoint for Acute Heart Failure Treatment

TypeinterventionalSponsorShanghai Tong Ren HospitalRan2022 to 2023Enrolled40ConditionsAcute Heart FailureArmsThe ultrasonic cardiac output monitor 1A system (USCOM Ltd., Sydney, Australia) is a non-invasive Doppler stroke volume (SV) technique derived from echocardiography.
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yiou LiDepartment of Critical Care Medicine, Tongren Hospital Shanghai Jiao Tong University School of Medicine, 200336 Shanghai, China.ORCID https://orcid.org/0009-0000-3865-4147
Jiajia ChenDepartment of Critical Care Medicine, Tongren Hospital Shanghai Jiao Tong University School of Medicine, 200336 Shanghai, China.ORCID https://orcid.org/0009-0002-0183-2514
Jianye BianDepartment of Critical Care Medicine, Tongren Hospital Shanghai Jiao Tong University School of Medicine, 200336 Shanghai, China.ORCID https://orcid.org/0009-0006-2719-3625
Fangyuan ChenDepartment of Critical Care Medicine, Tongren Hospital Shanghai Jiao Tong University School of Medicine, 200336 Shanghai, China.ORCID https://orcid.org/0009-0001-1470-1532
Qianli WanDepartment of Critical Care Medicine, Tongren Hospital Shanghai Jiao Tong University School of Medicine, 200336 Shanghai, China.ORCID https://orcid.org/0009-0007-6509-2726
Fang YuanDepartment of Critical Care Medicine, Tongren Hospital Shanghai Jiao Tong University School of Medicine, 200336 Shanghai, China.ORCID https://orcid.org/0000-0001-6026-2385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ultrafiltration (UF) is an alternative approach to diuretic therapy for the treatment of acute heart failure (AHF), but its optimal endpoint is unclear. This study explores using non-invasive ultrasonic cardiac output monitor (USCOM) to determine UF endpoints based on hemodynamic changes. Methods: In this single-anonymized, randomized controlled trial, acute decompensated heart failure patients were randomly assigned to UF (U, n = 20) and USCOM+UF (UU, n = 20) groups at a ratio of 1:1. A mixed linear model was utilized to analyze repeated measurement data of hemodynamic indicators (primary endpoint) in the U and UU groups. A 30% or 50% decrease in B-type natriuretic peptide (BNP) concentrations relative to the baseline was established as the criteria for the UF endpoint success. Multivariate logistic regression was used to identify potential indicators within the USCOM that could have influenced the UF endpoint success. Receiver operating characteristic (ROC) curves were used to evaluate the value of the predictive model. Economic benefits, including treatment costs and hospitalization duration, were also assessed. Results: Change rates in mean arterial pressure, heart rate (HR), urine output, hematocrit, and BNP concentrations were similar between the U and UU groups over 7 days (all Conclusions: Observing the USCOM using probability formulas served to determine appropriate UF endpoints during AHF treatments. UF combined with the USCOM can reduce the costs of UF and hospitalization. Clinical Trial Registration: NCT06533124, https://clinicaltrials.gov/study/NCT06533124?term=NCT06533124&rank=1.

Indexed as

acute decompensated heart failurebrain natriuretic peptideechocardiographyultrafiltrationultrasonic cardiac output monitor

Identifiers

PMID40475748
PMCPMC12135639

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.