Evidence map›Paper›PMID 35204521›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Breath Sensor Technology for the Use in Mechanical Lung Ventilation Equipment for Monitoring Critically Ill Patients.

Manohar Prasad Bhandari, Viktors Veliks, Ilmārs Stonāns, Marta Padilla, Oļegs Šuba, Agija Svare, Inga Krupnova, Ņikita Ivanovs, Dina Bēma, Jan Mitrovics and 1 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. 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
–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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Narrative review on artificially intelligent olfaction in halitosis.Journal of oral and maxillofacial pathology : JOMFP
    Review
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

11 authors.

Manohar Prasad BhandariInstitute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia.ORCID 0000-0003-2712-476X
Viktors VeliksInstitute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia.
Ilmārs StonānsInstitute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia.
Marta PadillaJLM Innovation GmbH, D-72070 Tubingen, Germany.
Oļegs ŠubaRiga East University Hospital, LV-1038 Riga, Latvia.
Agija SvareRiga East University Hospital, LV-1038 Riga, Latvia.
Inga KrupnovaRiga East University Hospital, LV-1038 Riga, Latvia.
Ņikita IvanovsRiga East University Hospital, LV-1038 Riga, Latvia.
Dina BēmaInstitute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia.
Jan MitrovicsJLM Innovation GmbH, D-72070 Tubingen, Germany.
Mārcis LejaInstitute of Clinical and Preventive Medicine, University of Latvia, LV-1586 Riga, Latvia.ORCID 0000-0002-0319-8855

Funding

Ministry of Education and Science VPP-COVID-2020/1-0023
6 · The paper itself

Abstract

backgroundThe need for mechanical lung ventilation is common in critically ill patients, either with COVID-19 infection or due to other causes. Monitoring of patients being ventilated is essential for timely and improved management. We here propose the use of a novel breath volatile organic compound sensor technology to be used in a mechanical lung ventilation machine for this purpose; the technology was evaluated in critically ill COVID-19 patients on mechanical lung ventilation.

methodsBased on the consistency results of our study data, the breath sensor device with metal oxide gas sensors and environment-controlling sensors was mounted on the ventilation exhaust port of the ventilation machine; this allowed to ensure additional safety since the device was placed outside the contour between the patient and equipment.

resultsThe sensors allowed stable registration of the signals for up to several weeks for 10 patients in total, depending on the storage amount; a proportion of patients were intubated or received tracheostoma during the evaluation period. Future studies are on the way to correlate sensor readings to other parameters characterizing the severity of the patient condition and outcome.

conclusionsWe suppose that such technology will allow patient monitoring in real-time for timely identification of deterioration, potentially requiring some change of management. The obtained results are preliminary and further studies are needed to examine their clinical significance.

Indexed as

COVID-19exhaled breathmechanical ventilationpatient monitoringVOC sensors

Identifiers

PMID35204521
PMCPMC8870831

What OpenQuestion holds

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LicenceCC BY
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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.