Evidence map›Paper›PMID 33116944›Full record

ArticleInternational medical case reports journal2020

When a Ventilator Takes Autonomous Decisions without Seeking Approbation nor Warning Clinicians: A Case Series.

Nicolas Dufour, Fouad Fadel, Bruno Gelée, Jean-Louis Dubost, Sophie Ardiot, Pascal Di Donato, Jean-Damien Ricard

Open access · goldAbstract readCase Reports
In one paragraph

Article in International medical case reports journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% 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.

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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  3. Connected to the cloud at time of death: a case report.Journal of medical case reports · 2024
    Article
  4. Observational
  5. 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

7 authors at 3 institutions in 1 country.

Nicolas DufourMedical and Surgical Intensive Care Unit, Centre Hospitalier René Dubos, Pontoise 95300, France.ORCID 0000-0002-1359-6689
Fouad FadelMedical and Surgical Intensive Care Unit, Centre Hospitalier René Dubos, Pontoise 95300, France.ORCID 0000-0001-9435-7788
Bruno GeléeMedical and Surgical Intensive Care Unit, Centre Hospitalier René Dubos, Pontoise 95300, France.
Jean-Louis DubostMedical and Surgical Intensive Care Unit, Centre Hospitalier René Dubos, Pontoise 95300, France.
Sophie ArdiotAgence Nationale de Sécurité du Médicament et des Produits de Santé, Direction des Dispositifs Médicaux, des Cosmétiques et des Dispositifs de Diagnostic in vitro, Saint-Denis Cedex 93285, France.
Pascal Di DonatoAgence Nationale de Sécurité du Médicament et des Produits de Santé, Direction des Dispositifs Médicaux, des Cosmétiques et des Dispositifs de Diagnostic in vitro, Saint-Denis Cedex 93285, France.
Jean-Damien RicardMedical and Surgical Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Hôpital Louis Mourier, 92700 Colombes, France.ORCID 0000-0003-1828-2299
Centre Hospitalier René-Dubos · FRAgence Nationale de Sécurité du Médicament et des Produits de Santé · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplexity and functions of automated medical devices used to support life (eg, ventilators, dialysis machines, monitors, insulin pump with continuous blood glucose monitoring system, etc.) increase over time. Until recently, devices were partially automated by very simple feedback loops, with no or few software dependence (such as the simplest home thermostat). For the last two decades, devices have been increasingly driven by complex algorithms devoted to improve patient's treatment and monitoring as well as users experience.

methodsWe report the unexpected and inappropriate operation of two recent ventilators, associated to potential harmful consequences. We provide both a description of the clinical situations (five ICU patients, archetypal situations) and a test bench analysis.

resultsWhile set in volume mode, these ventilators activated an algorithm dedicated to limit airway pressure when an increase in airway resistance occurred. In such situations, a pressure-like mode was activated (with decelerating inspiratory flow and set pressure, with target of volume). The main consequences observed were that the tidal volume was no longer guaranteed or delivered and that the pressure limitation operated by the algorithm prevented the airway pressure from reaching the high-pressure alarm threshold.

conclusionThis led to the silent takeover of commands by the ventilator without clinicians or nurses being aware of it and without any warnings or alarms emission adapted to the severity of the event. Generally speaking, such an algorithm questions the place of automation and its limit when users are not aware of its presence as well as the need for regulation and additional tests before its implementation. Intensivists and respiratory care specialists should remain vigilant regarding the risk of rare but critical events related to unexpected functioning or insufficiently tested equipment during the pre-clinical development phases. They should not neglect misunderstood critical events without having performed sufficient investigations.

Indexed as

algorithmautomationcase reportdual modematerial vigilancemechanical ventilation

Identifiers

PMID33116944
PMCPMC7571577
OpenAlexW3092875581

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.