Evidence map›Paper›PMID 33664308›Full record

ArticleScientific reports2021

MR-proADM as prognostic factor of outcome in COVID-19 patients.

Emanuela Sozio, Carlo Tascini, Martina Fabris, Federica D'Aurizio, Chiara De Carlo, Elena Graziano, Flavio Bassi, Francesco Sbrana, Andrea Ripoli, Alberto Pagotto and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
7.8field-weighted citation impact, top 2% of its field
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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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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

17 authors at 3 institutions in 2 countries.

Emanuela SozioU.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
Carlo TasciniU.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy. c.tascini@gmail.com.
Martina FabrisIstituto Di Patologia Clinica, Azienda Sanitaria Universitaria Integrata Di Udine (ASUID), Udine, Italy.
Federica D'AurizioIstituto Di Patologia Clinica, Azienda Sanitaria Universitaria Integrata Di Udine (ASUID), Udine, Italy.
Chiara De CarloU.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
Elena GrazianoU.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
Flavio BassiSOC Anestesia E Rianimazione 2, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Udine, Italy.
Francesco SbranaU.O. Lipoapheresis and Center for Inherited Dyslipidemias, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Andrea RipoliDeep Health Unit, Fondazione Toscana "Gabriele Monasterio", Pisa, Italy.
Alberto PagottoU.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
Alessandro GiacintaU.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
Valentina GerussiU.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
Daniela VisentiniIstituto Di Patologia Clinica, Azienda Sanitaria Universitaria Integrata Di Udine (ASUID), Udine, Italy.
Paola De StefanisSOC Anestesia E Rianimazione 2, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Udine, Italy.
Maria MerelliU.O. Malattie Infettive, Dipartimento Di Medicina Dell'Università Di Udine, Università Di Udine E Azienda Sanitaria Universitaria Integrata Di Udine, Via Pozzuolo, 330, 33100, Udine, Italy.
Kordo SaeedMicrobiology Innovation and Research Unit (MIRU), Department of Microbiology, University Hospitals Southampton NHS Foundation Trust, and University of Southampton School of Medicine, Southampton, UK.
Francesco CurcioIstituto Di Patologia Clinica, Azienda Sanitaria Universitaria Integrata Di Udine (ASUID), Udine, Italy.
Ospedale Santa Maria della Misericordia di Udine · ITFondazione Toscana Gabriele Monasterio · ITUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mid Regional pro-ADM (MR-proADM) is a promising novel biomarker in the evaluation of deteriorating patients and an emergent prognosis factor in patients with sepsis, septic shock and organ failure. It can be induced by bacteria, fungi or viruses. We hypothesized that the assessment of MR-proADM, with or without other inflammatory cytokines, as part of a clinical assessment of COVID-19 patients at hospital admission, may assist in identifying those likely to develop severe disease. A pragmatic retrospective analysis was performed on a complete data set from 111 patients admitted to Udine University Hospital, in northern Italy, from 25th March to 15th May 2020, affected by SARS-CoV-2 pneumonia. Clinical scoring systems (SOFA score, WHO disease severity class, SIMEU clinical phenotype), cytokines (IL-6, IL-1b, IL-8, TNF-α), and MR-proADM were measured. Demographic, clinical and outcome data were collected for analysis. At multivariate analysis, high MR-proADM levels were significantly associated with negative outcome (death or orotracheal intubation, IOT), with an odds ratio of 4.284 [1.893-11.413], together with increased neutrophil count (OR = 1.029 [1.011-1.049]) and WHO disease severity class (OR = 7.632 [5.871-19.496]). AUROC analysis showed a good discriminative performance of MR-proADM (AUROC: 0.849 [95% Cl 0.771-0.730]; p < 0.0001). The optimal value of MR-proADM to discriminate combined event of death or IOT is 0.895 nmol/l, with a sensitivity of 0.857 [95% Cl 0.728-0.987] and a specificity of 0.687 [95% Cl 0.587-0.787]. This study shows an association between MR-proADM levels and the severity of COVID-19. The assessment of MR-proADM combined with clinical scoring systems could be of great value in triaging, evaluating possible escalation of therapies, and admission avoidance or inclusion into trials. Larger prospective and controlled studies are needed to confirm these findings.

Indexed as

AdrenomedullinAgedBiomarkersCOVID-19FemaleHumansMaleMiddle AgedPeptide FragmentsPrognosisProtein PrecursorsRetrospective StudiesAdrenomedullinBiomarkersmid-regional pro-adrenomedullin, humanPeptide FragmentsProtein Precursors

Identifiers

PMID33664308
PMCPMC7933259
OpenAlexW3133946785

What OpenQuestion holds

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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.