Evidence map›Paper›PMID 41686209›Full record

ArticleIntensive care medicine2026

Consensus on identifying and ranking ventilator asynchronies in invasively ventilated ICU patients: a modified Delphi study (SYNAPsE).

Manon A Molenaar, Prashant Nasa, L Felipe Damiani, Juliana C Ferreira, Alexandre Isola, Frederique Paulus, Lise Piquilloud, Martin Scharffenberg, Marcus J Schultz, Ary Serpa Neto and 3 more

Abstract readConsensus Statement
In one paragraph

Article in Intensive care medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

13 authors.

Manon A MolenaarDepartment of Intensive Care, Amsterdam UMC, Amsterdam, The Netherlands.
Prashant NasaDepartment of Intensive Care, Amsterdam UMC, Amsterdam, The Netherlands.
L Felipe DamianiDepartment of Physical Therapy, Escuela de Ciencias de la Salud, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Juliana C FerreiraDepartment of Pulmonology, Divisao de Pneumologia, Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brasil.
Alexandre IsolaDepartment of Continued Education, Imed Group Brasil, São Paulo, Brazil.
Frederique PaulusDepartment of Intensive Care, Amsterdam UMC, Amsterdam, The Netherlands.
Lise PiquilloudAdult Intensive Care Unit, University Hospital and University of Lausanne, Lausanne, Switzerland.
Martin ScharffenbergDepartment of Anaesthesiology and Intensive Care Medicine, Pulmonary Engineering Group, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology Dresden, Dresden, Germany.
Marcus J SchultzDepartment of Intensive Care, Amsterdam UMC, Amsterdam, The Netherlands.
Ary Serpa NetoAustralian and New Zealand Intensive Care-Research Centre (ANZIC-RC), Monash University, Melbourne, Australia.
Edda TschernkoClinical Department of Cardiothoracic Vascular Surgery Anaesthesia and Intensive Care Medicine, Medical University Wien, Vienna, Austria.
Katerina VaporidiDepartment of Intensive Care, University Hospital of Heraklion, Crete, Greece.
Laura A Buiteman-KruizingaDepartment of Intensive Care, Amsterdam UMC, Amsterdam, The Netherlands. L.Kruizinga@rdgg.nl.ORCID 0000-0002-9569-2462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite extensive research, it remains unclear which patient-ventilator asynchronies are reliably detectable in clinical practice, most clinically relevant, and how they rank in severity.

methodsMultiple-choice questions and 5-point Likert-scale statements were used in iterative Delphi rounds. Feedback was incorporated until stable consensus or dissensus was reached for all items. First series of rounds focused on identifying and classifying patient-ventilator asynchronies detectable from ventilator waveforms, second series assessed their associations with outcomes in three patient groups, and in the final rounds, asynchronies were ranked by severity within these patient groups and across three scenarios.

resultsIn total, 11 panelists completed nine rounds. Consensus classified ineffective triggering, reverse triggering, double triggering, auto-triggering, insufficient flow, premature cycling, and delayed cycling as clinically relevant patient-ventilator asynchronies. Of these, auto-triggering and delayed cycling were deemed unlikely to be detectable using ventilator waveforms alone. Across all three patient groups, the panelists reached consensus that double triggering and ineffective triggering were the most clinically relevant. In acute respiratory distress syndrome, double triggering, ineffective triggering, and reverse triggering were all judged clinically relevant. In patients without acute respiratory distress syndrome and after cardiac surgery, asynchronies were classified as severe or mild and combined into two composite groups.

conclusionThis Delphi study provides a consensus-based framework for identifying and ranking patient-ventilator asynchronies at the bedside, highlighting those most likely to be clinically relevant and offering a structured approach to support monitoring, intervention, and future research.

Indexed as

Patient-Ventilator AsynchronyRespiration, ArtificialDelphi TechniqueHumansIntensive Care UnitsCritical careDelphiIntensive care unitInvasive ventilationMechanical ventilationPatient–ventilator asynchronyPatient–ventilator dyssynchronyPVA

Identifiers

PMID41686209
PMCPMC13035744

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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.