Evidence map›Paper›PMID 42291302›Full record

ArticleFrontiers in cellular and infection microbiology2026

The complexity of invasive fungal diseases in the intensive care unit: evaluation of metagenomic next-generation sequencing.

Rui Wang, Hailing Yang, Chunmei Zhang, Xirenguli Zi Neng

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Rui WangDepartment of Geriatrics, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China.
Hailing YangDepartment of Emergency Medicine, China-Japan Union Hospital of Jilin University, Jilin, Changchun, China.
Chunmei ZhangDepartment of Critical Medicine, China-Japan Union Hospital of Jilin University, Jilin, Changchun, China.
Xirenguli Zi NengDepartment of Critical Medicine, The Sixth Affiliated Hospital of Xinjiang Medical University, Xinjiang, Ürümqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the intensive care unit (ICU), a subset of adult individuals who are non-neutropenic and lack conventional host risk factors frequently develop fungal infections, which constitute a major mortality risk in this population. This patient group has received limited attention to date, and research on diagnostic approaches remains insufficient. This research looks into whether metagenomic next-generation sequencing (mNGS) could be used to diagnose this group of people. Methods: We performed a retrospective analysis of 106 individuals with invasive fungal infections between July 2022 and February 2025. These patients were divided into two groups: immunocompetent and immunocompromised. Demographic and clinical characteristics were analyzed and compared between the two groups. The diagnostic value of mNGS was carefully assessed, and its diagnostic performance was contrasted with that of conventional microbiological tests (CMTs). In addition, the impact of mNGS results from different specimen types on clinical management and antifungal treatment decisions was summarized. Results: Among the 106 adult patients, 66.26% were immunocompetent, but many of them had underlying comorbidities. A total of 81 pathogens were identified, of which 74 were detected by mNGS and 44 by CMTs. The predominant fungal pathogens included Conclusion: In the ICU, a substantial number of invasive fungal infections occur among patients without classical host risk factors. mNGS offers substantial benefits in identifying fungal pathogens and mixed infections, hence enhancing the diagnostic efficacy of invasive fungal diseases (IFDs). The extent of clinical benefit is affected by the kind of specimen provided for testing.

Indexed as

FungiHigh-Throughput Nucleotide SequencingIntensive Care UnitsInvasive Fungal InfectionsMetagenomicsAdultAgedAntifungal AgentsFemaleHumansImmunocompromised HostMaleMiddle AgedRetrospective StudiesAntifungal Agentsdiagnostic efficacyimmune stateintensive care unitinvasive fungal diseasesmetagenomic next-generation sequencing

Identifiers

PMID42291302
PMCPMC13261631

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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.