Evidence map›Paper›PMID 42197364›Full record

ArticleMicroorganisms2026

Decoding CAPA: A Comparative Study of AspICU, ISHAM, and EORTC Criteria in Critical COVID-19 Patients Requiring Mechanical Ventilation.

Chahnez Taleb, Christophe Lelubre, Patrick Biston, Michael Piagnerelli

Abstract read
In one paragraph

Article in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chahnez TalebIntensive Care, Hopitaux Universitaires de Bruxelles, Université Libre de Bruxelles, 1070 Brussels, Belgium.
Christophe LelubreInternal Medicine, CHU (Centre Hospitalier Universitaire)-Charleroi Chimay, Université Libre de Bruxelles, 6042 Charleroi, Belgium.ORCID 0000-0002-7319-661X
Patrick BistonIntensive Care, CHU (Centre Hospitalier Universitaire)-Charleroi Chimay, Université Libre de Bruxelles, 6042 Charleroi, Belgium.
Michael PiagnerelliIntensive Care, CHU (Centre Hospitalier Universitaire)-Charleroi Chimay, Université Libre de Bruxelles, 6042 Charleroi, Belgium.ORCID 0000-0002-9201-827X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19-associated pulmonary aspergillosis (CAPA) is a frequent and severe complication among critically ill patients with COVID-19. The absence of a clear diagnostic gold standard and the multiplicity of proposed definitions (EORTC/MSG, AspICU, and ISHAM) complicate its diagnosis. This study aimed to compare the performance of the EORTC/MSG, AspICU, and ISHAM classifications in diagnosing CAPA among mechanically ventilated COVID-19 patients and to assess their correlations with clinical outcomes. We conducted a retrospective, monocentric study including all adult COVID-19 patients requiring invasive mechanical ventilation admitted to the ICUs of CHU-Charleroi Chimay between March 2020 and December 2021. Patients were classified according to EORTC/MSG, AspICU, and ISHAM criteria. Demographics, comorbidities, management, and outcomes were compared across groups. In total, 405 patients were included during the four waves. The incidence of probable or possible CAPA varied widely: 6.1% with EORTC/MSG, 9.7% with AspICU, and 15.1% with ISHAM criteria. ICU mortality reached approximately 76% among patients with probable CAPA versus 43% in patients without aspergillosis. The frequency of CAPA diagnosis increased across COVID-19 waves, possibly correlating with changes in management, particularly corticosteroid use. The choice of CAPA diagnostic criteria has a major impact on incidence estimates and patient management. Prospective validation of CAPA definitions, integrating multiple mycological criteria, is urgently needed to guide clinical decision-making and antifungal therapy.

Indexed as

AspICUCAPACOVID-19critical careEORTCinvasive fungal infectionsISHAMpulmonary aspergillosis

Identifiers

PMID42197364
PMCPMC13210201

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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.