Evidence map›Paper›PMID 41717445›Full record

Observational studyFrontiers in immunology2025

Innate and adaptive immune patterns in hospitalised COVID-19 patients: a framework for precision monitoring in viral and inflammatory syndromes.

Salvatore Corrao, Raffaella Mallaci Bocchio, Salvatore Scibetta, Antonella Montalbano, Giuseppe Natoli, Luigi Calvo, Francesco Gervasi, Christiano Argano, Internal Medicine IGR COVID-19 Investigators

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

9 authors.

Salvatore CorraoDepartment of Internal Medicine, National Relevance and High Specialization Hospital Trust Azienda di Rilievo Nazionale ad Alta Specializzazione (A.R.N.A.S.) Civico, Di Cristina, Benfratelli, Palermo, Italy.
Raffaella Mallaci BocchioDepartment of Internal Medicine, National Relevance and High Specialization Hospital Trust Azienda di Rilievo Nazionale ad Alta Specializzazione (A.R.N.A.S.) Civico, Di Cristina, Benfratelli, Palermo, Italy.
Salvatore ScibettaDepartment of Internal Medicine, National Relevance and High Specialization Hospital Trust Azienda di Rilievo Nazionale ad Alta Specializzazione (A.R.N.A.S.) Civico, Di Cristina, Benfratelli, Palermo, Italy.
Antonella MontalbanoDepartment of Internal Medicine, National Relevance and High Specialization Hospital Trust Azienda di Rilievo Nazionale ad Alta Specializzazione (A.R.N.A.S.) Civico, Di Cristina, Benfratelli, Palermo, Italy.
Giuseppe NatoliDepartment of Internal Medicine, National Relevance and High Specialization Hospital Trust Azienda di Rilievo Nazionale ad Alta Specializzazione (A.R.N.A.S.) Civico, Di Cristina, Benfratelli, Palermo, Italy.
Luigi CalvoDepartment of Internal Medicine, National Relevance and High Specialization Hospital Trust Azienda di Rilievo Nazionale ad Alta Specializzazione (A.R.N.A.S.) Civico, Di Cristina, Benfratelli, Palermo, Italy.
Francesco GervasiSpecialized Laboratory of Oncology, National Relevance and High Specialization Hospital Trust Azienda di Rilievo Nazionale ad Alta Specializzazione (A.R.N.A.S.) Civico, Di Cristina, Benfratelli, Palermo, Italy.
Christiano ArganoDepartment of Internal Medicine, National Relevance and High Specialization Hospital Trust Azienda di Rilievo Nazionale ad Alta Specializzazione (A.R.N.A.S.) Civico, Di Cristina, Benfratelli, Palermo, Italy.
Internal Medicine IGR COVID-19 Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding immune responses in viral infections such as COVID-19 is crucial for identifying patients at risk of clinical deterioration. Profiling innate and adaptive immune components may provide a basis for precision monitoring and personalised management strategies in infectious and inflammatory syndromes. Methods: In a prospective observational study, 150 patients were enrolled from 30 March to 15 April 2022, hospitalised for COVID-19 at a tertiary Internal Medicine COVID Unit. Flow cytometry analysis of peripheral blood quantified 34 immune subpopulations. Patients were stratified into immunophenotypic groups based on deficiencies in T helper (CD4), cytotoxic T (CD8), natural killer (NK), and plasma cells. Clinical outcomes were analysed in relation to these immune profiles using multivariate logistic regression. Results: Of the 150 patients (mean age 64.7 years, 59.1% male), 7.8% required ICU admission and 9.1% died. Lymphopenia (<1200 cells/µL) was observed in 84%, with 61.1% showing CD4+ T cell deficiency, 32.2% NK cell deficiency, 46% CD8+ T cell reduction, and 26.6% decreased plasma cells. Notably, 10% had concurrent CD4 and NK cell deficiencies. While low plasma cell counts were not associated with worse outcomes, NK cell deficiency was linked to a threefold increased risk of death or ICU transfer (OR 3.19, p<0.03), and CD4+ T cell reduction was associated with a 5.23-fold increase (p<0.037). The combination of low CD4 and NK cells resulted in a 9.5-fold higher risk of adverse outcome, independently of age and sex. Conclusions: Specific immune profiles, particularly reductions in CD4+ and NK cells, are strong predictors of mortality or ICU admission in hospitalized COVID-19 patients. These findings suggest that rapid and clinically feasible tool may support precision monitoring and personalised management in viral and inflammatory syndromes beyond COVID-19. This study advocates for the integration of immune profiling into the framework of precision medicine.

Indexed as

Adaptive ImmunityCOVID-19Immunity, InnateSARS-CoV-2AgedFemaleHospitalizationHumansIntensive Care UnitsKiller Cells, NaturalMaleMiddle AgedProspective StudiesCOVID-19 patientsimmune systeminnate immunityintensive care unitnatural killer (NK) cellsT helper (CD4)

Identifiers

PMID41717445
PMCPMC12913424

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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.