Evidence map›Paper›PMID 39826044›Full record

Trial reportJournal of clinical monitoring and computing2025

Decision support guided fluid challenges and stroke volume response during high-risk surgery: a post hoc analysis of a randomized controlled trial.

Sean Coeckelenbergh, Joseph Rinehart, Olivier Desebbe, Nicolas Rogoz, Amira Dagachi Mastouri, Bryan Maghen, Maxime Cannesson, Jean-Louis Vincent, Jacques Duranteau, Alexandre Joosten

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of clinical monitoring and computing, 2025. 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. Article
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

10 authors.

Sean CoeckelenberghDepartment of Anaesthesiology & Perioperative Care, University of California Irvine, Irvine, CA, 92868, USA.
Joseph RinehartDepartment of Anaesthesiology & Perioperative Care, University of California Irvine, Irvine, CA, 92868, USA.
Olivier DesebbeDepartment of Anesthesiology, Sauvegarde clinic, Ramsay Sante, Lyon, France.
Nicolas RogozDepartment of Anaesthesiology and Intensive Care, Bicetre hospital, Assistance Publique Hôpitaux de Paris (AP-HP), Le Kremlin Bicetre, France.
Amira Dagachi MastouriDepartment of Anaesthesiology and Intensive Care, Bicetre hospital, Assistance Publique Hôpitaux de Paris (AP-HP), Le Kremlin Bicetre, France.
Bryan MaghenCalifornia University of Science and Medicine, Colton, CA, USA.
Maxime CannessonDepartment of Anaesthesiology & Perioperative Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Jean-Louis VincentDepartment of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.
Jacques DuranteauDepartment of Anaesthesiology and Intensive Care, Bicetre hospital, Assistance Publique Hôpitaux de Paris (AP-HP), Le Kremlin Bicetre, France.
Alexandre JoostenDepartment of Anaesthesiology and Intensive Care, Bicetre hospital, Assistance Publique Hôpitaux de Paris (AP-HP), Le Kremlin Bicetre, France. ajoosten@mednet.ucla.edu.

Funding

Personalized Risk Prediction for Prevention and Early Detection of Postoperative Failure to RescueR01EB035028 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Maxime Cannesson · 2023 to 2026
$2.3M
NIBIB NIH HHS R01 EB035028
6 · The paper itself

Abstract

Intravenous fluid is administered during high-risk surgery to optimize stroke volume (SV). To assess ongoing need for fluids, the hemodynamic response to a fluid bolus is evaluated using a fluid challenge technique. The Acumen Assisted Fluid Management (AFM) system is a decision support tool designed to ease the application of fluid challenges and thus improve fluid administration during high-risk surgery. In this post hoc analysis of data from a randomized controlled trial, we compared the rates of fluid responsiveness (defined as an increase in SV of ≥ 10%) after AFM-guided or clinician-initiated (control) fluid challenges. Patients undergoing high-risk abdominal surgery were randomly allocated to AFM-guided or clinician-initiated groups for fluid challenges titration, which consisted of 250-mL boluses of crystalloid or albumin given over 5 min. The fluid responsiveness rates and the mean SV increase in the two groups were compared. The original study included 86 patients (44 in the AFM group and 42 in the clinician-initiated group) and this sub-study analysed 85 patients with a total of 448 fluid challenges. The median rate of fluid responsiveness was greater in the AFM than in the control group (50 [44-71] % vs 33 [20-40] %, p<0.001). The mean increase in SV after fluid challenge was also higher in the AFM than in the control group (12 [9-16] % vs 6 [3-10] %, p<0.001). AFM-initiated fluid challenges were more often associated with the desired increase in SV than were clinician-initiated fluid challenges, and absolute SV increases were greater.

Indexed as

Decision Support Systems, ClinicalFluid TherapyStroke VolumeAbdomenAgedAlbuminsCrystalloid SolutionsFemaleHemodynamicsHumansMaleMiddle AgedMonitoring, IntraoperativeSurgical Procedures, OperativeAlbuminsCrystalloid SolutionsCardiac outputFluid therapyGoal directed fluid therapyGoal directed therapyHemodynamic monitoringMajor surgeryPersonalized

Identifiers

PMID39826044
PMCPMC12621647

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Registered trials

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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.