Evidence map›Paper›PMID 38444540›Full record

ArticleFrontiers in cellular and infection microbiology2023

COVID-19 in pulmonary critically ill patients: metagenomic identification of fungi and characterization of pathogenic microorganisms.

Changjun Huang, Siyuan Chang, Rui Ma, Yishu Shang, Yuexia Li, Yun Wang, Min Feng, Wenzhi Guo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Changjun Huang *Department of Hepatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Siyuan Chang *Department of Surgical Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Rui MaDepartment of Surgical Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yishu ShangDepartment of Surgical Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yuexia LiDepartment of Surgical Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yun WangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Min FengDepartment of Surgical Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wenzhi GuoDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fungal co-infection is prevalent in critically ill patients with COVID-19. The conventional approach applied to fungal identification has relatively low sensitivity and is time-consuming. The metagenomic next-generation sequencing (mNGS) technology can simultaneously detect a variety of microorganisms, and is increasingly being used for the rapid detection and diagnosis of pathogens. Methods: In this single-center retrospective study, we described the clinical presentation and outcomes of COVID-19 and mNGS positive for fungi in pulmonary critically ill patients during the outbreak of Omicron infection from December 2022 to January 2023. Results: Among 43 COVID-19 patients with acute respiratory distress syndrome (ARDS) on a single intensive care unit (ICU), 10 were reported to be fungal positive using the mNGS test. The number of pathogenic microorganisms detected by mNGS was significantly higher than that via traditional methods, especially in the detection of fungi and viruses. Conclusion: Patients with COVID-19 may be at increased risk of developing fungal infections as well as concurrent bacterial or viral infections, and mNGS can be a powerful tool in identifying these infections. Clinicians should be aware of the increased risk of fungal infections in COVID-19 patients, particularly those who have underlying immunocompromising conditions, and should monitor for early signs of infection.

Indexed as

AspergillosisCOVID-19Critical IllnessFungiHumansRetrospective StudiesaspergillosisCAPACOVID-19mNGSSARS-CoV-2

Identifiers

PMID38444540
PMCPMC10912313
OpenAlexW4391983894

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.