Evidence map›Paper›PMID 36010321›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Predictive Value of MR-proADM in the Risk Stratification and in the Adequate Care Setting of COVID-19 Patients Assessed at the Triage of the Emergency Department.

Marilena Minieri, Vito N Di Lecce, Maria Stella Lia, Massimo Maurici, Francesca Leonardis, Susanna Longo, Luca Colangeli, Carla Paganelli, Stefania Levantesi, Alessandro Terrinoni and 9 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

19 authors.

Marilena MinieriDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-2512-4793
Vito N Di LecceEmergency Department, Tor Vergata University Hospital, 00133 Rome, Italy.
Maria Stella LiaLaboratory Medicine Unit, Tor Vergata University Hospital, 00133 Rome, Italy.
Massimo MauriciDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0001-5884-161X
Francesca LeonardisDepartment of Surgical Sciences, University of Rome Tor Vergata, 00133 Rome, Italy.
Susanna LongoDepartment of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Luca ColangeliDepartment of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-8603-664X
Carla PaganelliEmergency Department, Tor Vergata University Hospital, 00133 Rome, Italy.
Stefania LevantesiEmergency Department, Tor Vergata University Hospital, 00133 Rome, Italy.
Alessandro TerrinoniDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-7442-2252
Vincenzo MalagninoInfectious Disease Unit, Tor Vergata University Hospital, 00133 Rome, Italy.
Domenico J BrunettiAnaesthesia and Intensive Care Unit, Tor Vergata University Hospital, 00133 Rome, Italy.
Alfredo GiovannelliLaboratory Medicine Unit, Tor Vergata University Hospital, 00133 Rome, Italy.
Massimo PieriDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-3463-0268
Marco CiottiVirology Unit, Tor Vergata University Hospital, 00133 Rome, Italy.ORCID 0000-0002-9943-9130
Cartesio D'AgostiniDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Mariachiara GabrieleDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Sergio BernardiniDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Jacopo M LegramanteDepartment of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past two pandemic years, Emergency Departments (ED) have been overrun with COVID-19-suspicious patients. Some data on the role played by laboratory biomarkers in the early risk stratification of COVID-19 patients have been recently published. The aim of this study is to assess the potential role of the new biomarker mid-regional proadrenomedullin (MR-proADM) in stratifying the in-hospital mortality risk of COVID-19 patients at the triage. A further goal of the present study is to evaluate whether MR-proADM together with other biochemical markers could play a key role in assessing the correct care level of these patients. Data from 321 consecutive patients admitted to the triage of the ED with a COVID-19 infection were analyzed. Epidemiological; demographic; clinical; laboratory; and outcome data were assessed. All the biomarkers analyzed showed an important role in predicting mortality. In particular, an increase of MR-proADM level at ED admission was independently associated with a threefold higher risk of IMV. MR-proADM showed greater ROC curves and AUC when compared to other laboratory biomarkers for the primary endpoint such as in-hospital mortality, except for CRP. This study shows that MR-proADM seems to be particularly effective for early predicting mortality and the need of ventilation in COVID-19 patients admitted to the ED.

Indexed as

COVID-19 biomarkersemergency departmentmid-regional proadrenomedullintriage

Identifiers

PMID36010321
PMCPMC9406922

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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.