Evidence map›Paper›PMID 41516267›Full record

Observational studyInternational journal of molecular sciences2025

Immune-Based Biomarkers as Predictors of Mortality in ECMO Therapy for Severe COVID-19 ARDS: Insights from a Retrospective Study.

Rosalia Busà, Giovanna Panarello, Alessia Gallo, Vitale Miceli, Salvatore Castelbuono, Maria Concetta Sorrentino, Giandomenico Amico, Claudia Carcione, Giovanna Russelli, Nicola Cuscino and 11 more

Abstract readObservational Study
In one paragraph

Observational study in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Rosalia BusàIRCCS ISMETT, 90127 Palermo, Italy.ORCID 0000-0002-7546-7209
Giovanna PanarelloIRCCS ISMETT, 90127 Palermo, Italy.
Alessia GalloIRCCS ISMETT, 90127 Palermo, Italy.ORCID 0000-0001-6737-9770
Vitale MiceliIRCCS ISMETT, 90127 Palermo, Italy.ORCID 0000-0001-8922-9909
Salvatore CastelbuonoIRCCS ISMETT, 90127 Palermo, Italy.ORCID 0009-0002-8262-8223
Maria Concetta SorrentinoIRCCS ISMETT, 90127 Palermo, Italy.
Giandomenico AmicoRi.MED Foundation, 90133 Palermo, Italy.ORCID 0000-0002-6957-9861
Claudia CarcioneRi.MED Foundation, 90133 Palermo, Italy.ORCID 0000-0002-0305-1781
Giovanna RusselliIRCCS ISMETT, 90127 Palermo, Italy.ORCID 0000-0002-1920-0892
Nicola CuscinoIRCCS ISMETT, 90127 Palermo, Italy.ORCID 0000-0002-2790-7257
Monica MieleRi.MED Foundation, 90133 Palermo, Italy.ORCID 0000-0002-1606-651X
Francesca TimoneriRi.MED Foundation, 90133 Palermo, Italy.ORCID 0000-0002-1634-1809
Mariangela Di BellaRi.MED Foundation, 90133 Palermo, Italy.ORCID 0000-0001-5502-4841
Giovanni ZitoIRCCS ISMETT, 90127 Palermo, Italy.ORCID 0000-0002-0482-6729
Floriana BarberaIRCCS ISMETT, 90127 Palermo, Italy.
Ester BadamiRi.MED Foundation, 90133 Palermo, Italy.ORCID 0000-0002-0154-6270
Anna Maria CorsaleDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-2541-4619
Mojtaba Shekarkar AzgomiDepartment of Biomedicine, Neuroscience and Advanced Diagnostic Diagnostic (BIND), University of Palermo, 90133 Palermo, Italy.ORCID 0000-0002-0642-0431
Pier Giulio ConaldiIRCCS ISMETT, 90127 Palermo, Italy.ORCID 0000-0003-1994-8005
Cirino BottaDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-1522-4504
Matteo BulatiIRCCS ISMETT, 90127 Palermo, Italy.ORCID 0000-0002-3269-935X

Funding

EU funding within the NextGenerationEU-MUR -National Recovery and Resilience Plan, Mission 4, Component 2 Investment 1.3 - Extended Partnership initiative on Emerging Infectious Diseases INF-ACT PE00000007, CUP B73C22001230006Italian Ministry of Health, Italy Ricerca Corrente
6 · The paper itself

Abstract

Extracorporeal membrane oxygenation (ECMO) is a vital intervention for patients with severe respiratory failure, particularly in unresponsive acute respiratory distress syndrome (ARDS) cases. However, patient selection for ECMO remains a significant challenge. This study aims to identify novel immune-based biomarkers to improve eligibility assessment and predict outcomes in critically ill COVID-19 patients undergoing ECMO. This monocentric observational retrospective cohort study included 80 patients with severe COVID-19-related pneumonia who required ECMO support due to unresponsive ARDS. The patients were admitted to the intensive care unit (ICU) of IRCCS-ISMETT Hospital between September 2020 and April 2021, before the availability of COVID-19 vaccines. All patients were infected with the original SARS-CoV-2 Wuhan strain. Using machine learning approaches, the study analyzed clinical and laboratory data, cytokine levels, RNA sequencing (RNA-seq), and immune cell profiles collected within two days of hospitalization. The analysis identified a 5.56-fold increased mortality risk in patients presenting with a combination of immune factors: a T cell exhaustion profile, low interferon-alpha (IFNα) levels, and high calprotectin levels. These immune markers were strongly associated with poorer outcomes in patients undergoing ECMO. Our findings highlight the critical role of immune profiling in ECMO patient selection and outcome prediction. Incorporating immune-based biomarkers into clinical assessments may enhance the evaluation of ECMO eligibility and guide treatment decisions, ultimately improving patient outcomes.

Indexed as

COVID-19Extracorporeal Membrane OxygenationRespiratory Distress SyndromeAdultAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesSARS-CoV-2BiomarkersARDSCOVID-19cytokinomeECMOICUT cell exhaustion

Identifiers

PMID41516267
PMCPMC12786001

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.