Evidence map›Paper›PMID 39511501›Full record

Observational studyBMC geriatrics2024

Older patients affected by COVID-19: investigating the existence of biological phenotypes.

Alberto Zucchelli, Marta Parigi, Silvia Giliani, Davide Liborio Vetrano, Daniela Lucente, Emanuele Marzetti, Riccardo Calvani, Giuseppe Bellelli, Alessandra Marengoni

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BMC geriatrics, 2024. 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.

Alberto ZucchelliAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, 171 77, Sweden. alberto.zucchelli.1@ki.se.ORCID http://orcid.org/0000-0001-5992-8506
Marta ParigiA. Nocivelli Institute for Molecular Medicine, ASST Spedali Civili, Brescia, Italy.
Silvia GilianiA. Nocivelli Institute for Molecular Medicine, ASST Spedali Civili, Brescia, Italy.
Davide Liborio VetranoAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, 171 77, Sweden.
Daniela LucenteFondazione "Ospedale e Casa di Riposo Nobile Paolo Richiedei", Brescia, Italy.
Emanuele MarzettiDepartment of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy.
Riccardo CalvaniDepartment of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, Rome, Italy.
Giuseppe Bellelli *School of Medicine and Surgery, Milano-Bicocca University, Monza, Italy.
Alessandra Marengoni *Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, 171 77, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCOVID-19 provides an opportunity to examine biological phenotypes (observable morphological, functional and biological characteristics) in individuals who experience the same acute condition, potentially revealing differences in response to acute external stressors. The aim our study was to investigate biological phenotypes in older patients hospitalized for COVID-19, exploiting a panel of aging biomarkers.

methodsData were gathered from the FRACOVID Project, an observational multicenter study, aimed to evaluate the impact of frailty on health-related outcomes in patients 60 + with COVID-19 in Northern Italy. A hierarchical cluster analysis was run using log-transformed and scaled values of TNF-a, IL-1 beta, IL-6, PAI-1, GDF-15, NT-proBNP, and Cystatin C evaluated at admission.

resultsEighty-one participants (mean age 75.3 years; 60.5% male) were evaluated. Frailty was identified in 42% of the sample and 27.2% were unable to ambulate outdoors. The mean hospital stay was 24.7 days, with an in-hospital mortality rate of 18.5%. Three biological phenotypes were found: (1) 'inflammatory', with high inflammatory biomarkers; (2) 'organ dysfunction', characterized by elevated cystatin C and NT-proBNP, and lower inflammatory markers; and (3) 'unspecific', with lower NT-proBNP and GDF-15 levels, and intermediate concentrations of other biomarkers. The 'organ dysfunction' phenotype showed the highest mean age and prevalence of frailty, disability, and chronic diseases. The 'inflammatory' phenotype showed the highest burden of respiratory and systemic signs and symptoms of infection.

conclusionBiological phenotypes might be used to identify different clinical and functional phenotypes in individuals affected by COVID-19.

Indexed as

BiomarkersCOVID-19FrailtyPhenotypeAgedAged, 80 and overFemaleHumansItalyMaleMiddle AgedSARS-CoV-2BiomarkersBiomarkersCOVID-19ElderlyFrailty

Identifiers

PMID39511501
PMCPMC11542346

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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.