Evidence map›Paper›PMID 38717558›Full record

ArticleIntensive care medicine experimental2024

Dynamic changes of hepatic vein Doppler velocities predict preload responsiveness in mechanically ventilated critically ill patients.

Mario Bruna, Sebastian Alfaro, Felipe Muñoz, Liliana Cisternas, Cecilia Gonzalez, Rodrigo Conlledo, Rodrigo Ulloa-Morrison, Marcos Huilcaman, Jaime Retamal, Ricardo Castro and 6 more

Abstract read
In one paragraph

Article in Intensive care medicine experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
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

16 authors.

Mario BrunaUnidad de Cuidados Intensivos, Hospital de Quilpué, Quilpué, Chile.
Sebastian AlfaroUnidad de Cuidados Intensivos, Hospital de Quilpué, Quilpué, Chile.
Felipe MuñozDepartamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile, Avenida Diagonal Paraguay 362, Santiago, Chile.
Liliana CisternasUnidad de Cuidados Intensivos, Hospital de Quilpué, Quilpué, Chile.
Cecilia GonzalezDepartamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile, Avenida Diagonal Paraguay 362, Santiago, Chile.
Rodrigo ConlledoUnidad de Cuidados Intensivos, Hospital de Quilpué, Quilpué, Chile.
Rodrigo Ulloa-MorrisonUnidad de Cuidados Intensivos, Hospital Las Higueras, Talcahuano, Chile.
Marcos HuilcamanUnidad de Cuidados Intensivos, Hospital Gustavo Fricke, Viña del Mar, Chile.
Jaime RetamalDepartamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile, Avenida Diagonal Paraguay 362, Santiago, Chile.
Ricardo CastroDepartamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile, Avenida Diagonal Paraguay 362, Santiago, Chile.
Philippe RolaIntensive Care Unit, Hopital Santa Cabrini, CIUSSS EMTL, Montreal, Canada.
Adrian WongDepartment of Critical Care, King's College Hospital, London, UK.
Eduardo R ArgaizDepartamento de Nefrología y Metabolismo Mineral, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Roberto ContrerasUnidad de Cuidados Intensivos, Hospital Biprovincial Quillota-Petorca, Quillota, Chile.
Glenn HernandezDepartamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile, Avenida Diagonal Paraguay 362, Santiago, Chile.
Eduardo KattanDepartamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile, Avenida Diagonal Paraguay 362, Santiago, Chile. e.kattan@gmail.com.ORCID http://orcid.org/0000-0002-1997-6893

Funding

Agencia Nacional de Investigación y Desarrollo FONDECYT Nº 1230475
6 · The paper itself

Abstract

backgroundAssessment of dynamic parameters to guide fluid administration is one of the mainstays of current resuscitation strategies. Each test has its own limitations, but passive leg raising (PLR) has emerged as one of the most versatile preload responsiveness tests. However, it requires real-time cardiac output (CO) measurement either through advanced monitoring devices, which are not routinely available, or echocardiography, which is not always feasible. Analysis of the hepatic vein Doppler waveform change, a simpler ultrasound-based assessment, during a dynamic test such as PLR could be useful in predicting preload responsiveness. The objective of this study was to assess the diagnostic accuracy of hepatic vein Doppler S and D-wave velocities during PLR as a predictor of preload responsiveness.

methodsProspective observational study conducted in two medical-surgical ICUs in Chile. Patients in circulatory failure and connected to controlled mechanical ventilation were included from August to December 2023. A baseline ultrasound assessment of cardiac function was performed. Then, simultaneously, ultrasound measurements of hepatic vein Doppler S and D waves and cardiac output by continuous pulse contour analysis device were performed during a PLR maneuver.

resultsThirty-seven patients were analyzed. 63% of the patients were preload responsive defined by a 10% increase in CO after passive leg raising. A 20% increase in the maximum S wave velocity after PLR showed the best diagnostic accuracy with a sensitivity of 69.6% (49.1-84.4) and specificity of 92.8 (68.5-99.6) to detect preload responsiveness, with an area under curve of receiving operator characteristic (AUC-ROC) of 0.82 ± 0.07 (p = 0.001 vs. AUC-ROC of 0.5). D-wave velocities showed worse diagnostic accuracy.

conclusionsHepatic vein Doppler assessment emerges as a novel complementary technique with adequate predictive capacity to identify preload responsiveness in patients in mechanical ventilation and circulatory failure. This technique could become valuable in scenarios of basic hemodynamic monitoring and when echocardiography is not feasible. Future studies should confirm these results.

Indexed as

Hepatic vein DopplerPassive leg raisingPreload responsiveness testsShock

Identifiers

PMID38717558
PMCPMC11078902

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.