Evidence map›Paper›PMID 42305018›Full record

ArticleAnnals of medicine2026

Pulmonary and cerebral damage in COVID-19 survivors: is there any association?

Alberto Arrigoni, Serena Capelli, Gianluca Imeri, Francesca Pennati, Serena Venturelli, Pietro Andrea Bonaffini, Francesco Sanvito, Paolo Marra, Andrea Aliverti, Fabiano Di Marco and 2 more

Abstract read
In one paragraph

Article in Annals of medicine, 2026. 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
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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

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

12 authors.

Alberto ArrigoniBioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, BG, Italy.ORCID 0000-0002-1914-6582
Serena CapelliBioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, BG, Italy.ORCID 0000-0002-8450-3806
Gianluca ImeriRespiratory Unit, ASST Papa Giovanni XXIII, Bergamo, BG, Italy.ORCID 0000-0003-1139-6509
Francesca PennatiDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, MI, Italy.ORCID 0000-0001-8896-8224
Serena VenturelliInfectious Diseases Unit, ASST Papa Giovanni XXIII, Bergamo, BG, Italy.ORCID 0000-0002-5679-2516
Pietro Andrea BonaffiniDepartment of Radiology, ASST Papa Giovanni XXIII, Bergamo, BG, Italy.ORCID 0000-0001-5335-9429
Francesco SanvitoDepartment of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-3379-9958
Paolo MarraDepartment of Radiology, ASST Papa Giovanni XXIII, Bergamo, BG, Italy.ORCID 0000-0003-4935-8110
Andrea AlivertiDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, MI, Italy.ORCID 0000-0002-2950-0231
Fabiano Di MarcoRespiratory Unit, ASST Papa Giovanni XXIII, Bergamo, BG, Italy.ORCID 0000-0002-1743-0504
Simonetta GereviniDepartment of Neuroradiology, ASST Papa Giovanni XXIII, Bergamo, BG, Italy.ORCID 0000-0002-2374-194X
Anna CaroliBioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, BG, Italy.ORCID 0000-0002-4130-4663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 primarily affects the respiratory system, with pulmonary function tests (PFTs) evaluating respiratory impairments and chest CT imaging revealing structural lung abnormalities. However, the disease's multisystem impact - including vascular dysfunction and neurological complications associated with MRI neuroimaging alterations - raises the possibility of shared mechanisms underlying both pulmonary and cerebral involvement, potentially mediated by vascular damage. MATERIALS AND

methodsThe study included 27 consecutive COVID-19 patients (median age 59.0 [IQR 50.5 - 70.0] years, 37% female) presenting with concurrent respiratory and neurological symptoms. All patients underwent PFTs, chest CT, and brain MRI. CT images were processed to quantify lung parenchyma, airways, and vasculature, including small-vessel volume (SVV) and air-to-perfusion ratio (APR). Brain MRI analysis assessed gray matter (GM) integrity (volume and cortical thickness), white matter (WM) diffusion metrics (Apparent Diffusion Coefficient, ADC), and GM perfusion (cerebral blood volume, CBV; cerebral blood flow, CBF). Relationships between pulmonary and cerebral metrics were explored using Spearman correlations and multivariable linear regression.

resultsGM volume was positively associated with diffusing capacity for carbon monoxide (DLCO), and cortical thickness was positively associated with alveolar volume (VA). No associations were observed for WM ADC. In contrast, lower pulmonary function (DLCO, VA, forced expiratory volume in 1 s (FEV1), and forced vital capacity (FVC)) were associated with higher GM perfusion.

conclusionsCOVID-19-related pulmonary impairment is associated with reduced GM structural integrity and altered cerebral perfusion, suggesting a lung-brain interplay potentially driven by systemic vascular dysfunction and adaptive cerebrovascular mechanisms. These findings underscore the importance of integrated pulmonary and neurological assessment in post-COVID-19 patients and highlight the need for longitudinal studies to clarify the evolution and clinical consequences of these alterations.

Indexed as

BrainCOVID-19LungAgedCerebrovascular CirculationFemaleGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedPandemicsRespiratory Function TestsSARS-CoV-2SurvivorsTomography, X-Ray ComputedBrain MRIChest CTCOVID-19Lung–brain axisPulmonary function testsVascular dysfunction

Identifiers

PMID42305018
PMCPMC13276816

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.