Evidence map›Paper›PMID 39421687›Full record

ArticleAcute medicine & surgery

Successful transition from intravenous to inhalation anesthesia for respiratory management of coronavirus disease pneumonia: A case report.

Reijiro Kato, Yuhei Irie, Yoshito Izutani, Hiroyasu Ishikura

Abstract read
In one paragraph

Article in Acute medicine & surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Reijiro KatoDepartment of Emergency and Critical Care Medicine Fukuoka University Hospital Emergency Center Fukuoka Japan.ORCID https://orcid.org/0009-0004-3495-8986
Yuhei IrieDepartment of Emergency and Critical Care Medicine Fukuoka University Hospital Emergency Center Fukuoka Japan.
Yoshito IzutaniDepartment of Emergency and Critical Care Medicine Fukuoka University Hospital Emergency Center Fukuoka Japan.
Hiroyasu IshikuraDepartment of Emergency and Critical Care Medicine Fukuoka University Hospital Emergency Center Fukuoka Japan.ORCID https://orcid.org/0000-0002-4862-5646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In patients with coronavirus disease pneumonia, strong spontaneous breathing increases pulmonary vascular permeability and induces self-inflicted lung injury, prolonging the intensive care unit stay and worsening prognosis. Therefore, spontaneous respiration must be strictly controlled. Case Presentation: A 48-year-old man was admitted for respiratory management of severe coronavirus disease pneumonia. Despite immediate ventilatory management, ventilatory failure and air leak syndrome developed, necessitating venovenous extracorporeal membrane oxygenation, intravenous sedation, and muscle relaxation. Over time, the patient's inspiratory effort worsened and the requirement for transvenous anesthesia increased. Therefore, management was switched to inhalation anesthesia after discontinuation of all transvenous anesthetics, maintaining morphine-only analgesia. Subsequent management enabled effective control of spontaneous respiration, allowing eventual discontinuation of inhalation anesthesia, venovenous extracorporeal membrane oxygenation, and ventilation. Conclusion: Management of spontaneous respiration in coronavirus disease pneumonia can be complicated by resistance to transvenous anesthesia; however, the use of an inhaled anesthetic may present a valuable alternative.

Indexed as

COVID‐19inhalation anesthesiaintravenous anesthesiapneumoniaventilation

Identifiers

PMID39421687
PMCPMC11483535

What OpenQuestion holds

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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.