Evidence map›Paper›PMID 35461264›Full record

ArticleTrials2022

Effect of Automated Closed-loop ventilation versus convenTional VEntilation on duration and quality of ventilation in critically ill patients (ACTiVE) - study protocol of a randomized clinical trial.

Michela Botta, Anissa M Tsonas, Jante S Sinnige, Ashley J R De Bie, Alexander J G H Bindels, Lorenzo Ball, Denise Battaglini, Iole Brunetti, Laura A Buiteman-Kruizinga, Pim L J van der Heiden and 10 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04593810 (Effect of Automated Closed-Loop Ventilation Versus Conventional Ventilation on Duration and Quality of Ventilation), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 10% 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.

NCT04593810 nacompletednot on this map

Effect of Automated Closed-Loop Ventilation Versus Conventional Ventilation on Duration and Quality of Ventilation ('ACTiVE') - a Randomized Clinical Trial in Intensive Care Unit Patients

TypeinterventionalSponsorProf. Dr. Marcus J. SchultzRan2020 to 2025Enrolled1,201ConditionsVentilator-free Days, Quality of BreathingArmsINTELLiVENT-ASV, CONVENTIONAL VENTILATION
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
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  3. Bridging brain and lung: optimizing mechanical ventilation in acute brain injury.Journal of anesthesia, analgesia and critical care · 2025
    Review
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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

20 authors at 9 institutions in 7 countries.

Michela BottaDepartment of Intensive Care, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands. m.botta@amsterdamumc.nl.ORCID http://orcid.org/0000-0003-2675-4604
Anissa M TsonasDepartment of Intensive Care, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Jante S SinnigeDepartment of Intensive Care, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Ashley J R De BieDepartment of Intensive Care, Catharina Hospital Eindhoven, Eindhoven, The Netherlands.
Alexander J G H BindelsDepartment of Intensive Care, Catharina Hospital Eindhoven, Eindhoven, The Netherlands.
Lorenzo BallDepartment of Anesthesia and Intensive Care, San Martino Polyclinic Hospital, IRCCS for Oncology and Neurosciences, Genova, Italy.
Denise BattagliniDepartment of Anesthesia and Intensive Care, San Martino Polyclinic Hospital, IRCCS for Oncology and Neurosciences, Genova, Italy.
Iole BrunettiDepartment of Anesthesia and Intensive Care, San Martino Polyclinic Hospital, IRCCS for Oncology and Neurosciences, Genova, Italy.
Laura A Buiteman-KruizingaDepartment of Intensive Care, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Pim L J van der HeidenDepartment of Intensive Care, Reinier de Graaf Hospital, Delft, The Netherlands.
Evert de JongeDepartment of Intensive Care, Leiden University Medical Centre, Leiden, The Netherlands.
Francesco MojoliDepartment of Anesthesia and Intensive Care, San Matteo Polyclinic Foundation, University of Pavia, Pavia, Italy.
Chiara RobbaDepartment of Anesthesia and Intensive Care, San Martino Polyclinic Hospital, IRCCS for Oncology and Neurosciences, Genova, Italy.
Abraham SchoeDepartment of Intensive Care, Leiden University Medical Centre, Leiden, The Netherlands.
Frederique PaulusDepartment of Intensive Care, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Paolo PelosiDepartment of Anesthesia and Intensive Care, San Martino Polyclinic Hospital, IRCCS for Oncology and Neurosciences, Genova, Italy.
Ary Serpa NetoAustralian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Janneke HornDepartment of Intensive Care, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Marcus J SchultzDepartment of Intensive Care, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
ACTiVE collaborative group
Amsterdam University Medical Centers · NLOspedale Policlinico San Martino · ITLeiden University Medical Center · NLRadboud University Nijmegen · NLHospital Israelita Albert Einstein · BRReinier de Graaf Hospital · NLUniversity of Pavia · ITAmsterdam Neuroscience · NLMahidol University · TH

Funding

ZonMw 852002031
6 · The paper itself

Abstract

backgroundINTELLiVENT-Adaptive Support Ventilation (ASV) is a fully automated closed-loop mode of ventilation for use in critically ill patients. Evidence for benefit of INTELLiVENT-ASV in comparison to ventilation that is not fully automated with regard to duration of ventilation and quality of breathing is largely lacking. We test the hypothesis that INTELLiVENT-ASV shortens time spent on a ventilator and improves the quality of breathing.

methodsThe "Effects of Automated Closed-loop VenTilation versus Conventional Ventilation on Duration and Quality of Ventilation" (ACTiVE) study is an international, multicenter, two-group randomized clinical superiority trial. In total, 1200 intensive care unit (ICU) patients with an anticipated duration of ventilation of > 24 h will be randomly assigned to one of the two ventilation strategies. Investigators screen patients aged 18 years or older at start of invasive ventilation in the ICU. Patients either receive automated ventilation by means of INTELLiVENT-ASV, or ventilation that is not automated by means of a conventional ventilation mode. The primary endpoint is the number of days free from ventilation and alive at day 28; secondary endpoints are quality of breathing using granular breath-by-breath analysis of ventilation parameters and variables in a time frame of 24 h early after the start of invasive ventilation, duration of ventilation in survivors, ICU and hospital length of stay (LOS), and mortality rates in the ICU and hospital, and at 28 and 90 days. DISCUSSION: ACTiVE is one of the first randomized clinical trials that is adequately powered to compare the effects of automated closed-loop ventilation versus conventional ventilation on duration of ventilation and quality of breathing in invasively ventilated critically ill patients. The results of ACTiVE will support intensivist in their choices regarding the use of automated ventilation.

trial registrationACTiVE is registered in clinicaltrials.gov (study identifier: NCT04593810 ) on 20 October 2020.

Indexed as

Critical IllnessRespiration, ArtificialEquivalence Trials as TopicHumansIntensive Care UnitsMulticenter Studies as TopicRandomized Controlled Trials as TopicRespirationVentilators, MechanicalAutomationClosed-loopI–ASVICUINTELLiVENT–ASVIntensive careInvasive ventilationMechanical ventilationRandomized controlled trial

Identifiers

PMID35461264
PMCPMC9034629
OpenAlexW4224438290

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.