Evidence map›Paper›PMID 29779129›Full record

Observational studyJournal of clinical monitoring and computing2019

Practical impact of a decision support for goal-directed fluid therapy on protocol adherence: a clinical implementation study in patients undergoing major abdominal surgery.

Alexandre Joosten, Reda Hafiane, Marco Pustetto, Luc Van Obbergh, Thierry Quackels, Alexis Buggenhout, Jean-Louis Vincent, Brigitte Ickx, Joseph Rinehart

3 registry-linked trialsAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of clinical monitoring and computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.0field-weighted citation impact, top 5% of its field
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.

NCT03141411 completednot on this map

Assisted Versus Manual Goal Directed Fluid Therapy in Major Abdominal Surgery

TypeobservationalSponsorErasme University HospitalRan2017 to 2017Enrolled46ConditionsSurgery
NCT07070973 narecruitingnot on this mapstarted 2025, after this paper: background citation

HEMOdynamic Proactive Management During Cytoreductive Surgery and Intraperitoneal hyPErthermic Chemotherapy for Advanced Ovarian Cancer

TypeinterventionalSponsorFondazione Policlinico Universitario Agostino Gemelli IRCCSRan2025 to 2027Enrolled52ConditionsOvarian Cancer, Hemodynamic Instability, Fluid OverloadArmsAssisted Fluid Management, Goal Directed Fluid Therapy (GDT)
NCT07301307 narecruitingnot on this mapstarted 2026, after this paper: background citation

The Use of the Hypotension Prediction Index (HPI) Combined With the Assisted Fluid Management (AFM) Software for Perioperative Hemodynamic Optimization in Patients Undergoing General Anesthesia.

TypeinterventionalSponsorNational and Kapodistrian University of AthensRan2026 to 2027Enrolled100ConditionsIntraoperative HypotensionArmsAcumen IQ sensor with Hypotension Prediction Index (HPI) and Assisted Fluid Management (AFM) software, Conventional Intraoperative Hemodynamic management
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Article
  9. Closing the loop: automation in anesthesiology is coming.Journal of clinical monitoring and computing · 2024
    Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Shedding light on perioperative hemodynamic monitoring.Journal of clinical monitoring and computing · 2020
    Article
  17. Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Alexandre JoostenDepartment of Anesthesiology, CUB Erasme, Hopital ERASME, Université Libre de Bruxelles, 808, route de Lennik, 1070, Brussels, Belgium. Alexandre.Joosten@erasme.ulb.ac.be.
Reda HafianeDepartment of Anesthesiology, CUB Erasme, Hopital ERASME, Université Libre de Bruxelles, 808, route de Lennik, 1070, Brussels, Belgium.
Marco PustettoDepartment of Anesthesiology, CUB Erasme, Hopital ERASME, Université Libre de Bruxelles, 808, route de Lennik, 1070, Brussels, Belgium.
Luc Van ObberghDepartment of Anesthesiology, CUB Erasme, Hopital ERASME, Université Libre de Bruxelles, 808, route de Lennik, 1070, Brussels, Belgium.
Thierry QuackelsDepartment of Urology, CUB Erasme, Université Libre de Bruxelles, 808, route de Lennik, 1070, Brussels, Belgium.
Alexis BuggenhoutDepartment of Colorectal Surgery, CUB Erasme, Université Libre de Bruxelles, 808, route de Lennik, 1070, Brussels, Belgium.
Jean-Louis VincentDepartment of Intensive Care, CUB Erasme, Université Libre de Bruxelles, 808, route de Lennik, 1070, Brussels, Belgium.
Brigitte IckxDepartment of Anesthesiology, CUB Erasme, Hopital ERASME, Université Libre de Bruxelles, 808, route de Lennik, 1070, Brussels, Belgium.
Joseph RinehartDepartment of Anesthesiology & Perioperative Care, University of California Irvine, 101 the City Drive South, Orange, CA, USA.
Université Libre de Bruxelles · BEUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to assess the effects of using a real time clinical decision-support system, "Assisted Fluid Management" (AFM), to guide goal-directed fluid therapy (GDFT) during major abdominal surgery. We compared a group of patients managed using the AFM system with a historical cohort of patients (control group) who had been managed using a manual GDFT strategy. Adherence to the protocol was defined as the relative intraoperative time spent with a stroke volume variation (SVV) < 13%. We hypothesised that patients in the AFM group would have more time during surgery with a SVV < 13% compared to the control group. All patients had a radial arterial line connected to a pulse contour analysis monitor and received a 2 ml/kg/h maintenance crystalloid infusion. Additional 250 ml crystalloid boluses were administered whenever measured SVV ≥ 13% in the control group, and when the software suggested a fluid bolus in the AFM group. We compared 46 AFM-guided patients to 38 controls. Patients in the AFM group spent significantly more time during surgery with a SVV < 13% compared to the control group (median 92% [82, 96] vs. 76% [54, 86]; P < 0.0005), and received less fluid overall (1775 ml [1225, 2425] vs. 2350 ml [1825, 3250]; P = 0.010). The incidence of postoperative complications was comparable in the two groups. Implementation of a decision support system for GDFT guidance resulted in a significantly longer period during surgery with a SVV < 13% with a reduced total amount of fluid administered. Trial registration: Clinical Trials.gov (NCT03141411).

Indexed as

Decision Support Systems, ClinicalAbdomenAgedAlgorithmsAnesthesiologyFemaleFluid TherapyGoalsGuideline AdherenceHumansIntraoperative CareMaleMiddle AgedMonitoring, IntraoperativeMonitoring, PhysiologicPostoperative ComplicationsCardiac output monitoringDecision-assisted resuscitationGoal-directed therapy

Identifiers

PMID29779129
OpenAlexW2803285400

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.