Evidence map›Paper›PMID 37330534›Full record

ArticleScientific reports2023

The role of asymmetric dimethylarginine (ADMA) in COVID-19: association with respiratory failure and predictive role for outcome.

Emanuela Sozio, Juliane Hannemann, Martina Fabris, Adriana Cifù, Andrea Ripoli, Francesco Sbrana, Demetrio Cescutti, Luigi Vetrugno, Stefano Fapranzi, Flavio Bassi and 4 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 2 countries.

Emanuela Sozio *Infectious Diseases Clinic, Azienda Sanitaria Universitaria del Friuli Centrale (ASUFC), Udine, Italy.
Juliane Hannemann *Institute of Clinical Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Martina FabrisIstituto di Patologia Clinica, Azienda Sanitaria Universitaria Friuli Centrale - Udine (ASUFC), Udine, Italy.
Adriana CifùDepartment of Medical Area (DAME), University of Udine, Udine, Italy.
Andrea RipoliBioengineering Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Francesco SbranaLipoapheresis Unit - Reference Center for Diagnosis and Treatment of Inherited Dyslipidemias, Fondazione Toscana "Gabriele Monasterio", Via Moruzzi 1, 56124, Pisa, Italy.
Demetrio CescuttiInfectious Diseases Clinic, Azienda Sanitaria Universitaria del Friuli Centrale (ASUFC), Udine, Italy.
Luigi VetrugnoDepartment of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, Chieti, Italy.
Stefano FapranziEmergency Radiology Department - Azienda Sanitaria, Universitaria del Friuli Centrale (ASUFC), Udine, Italia.
Flavio BassiDepartment of Anesthesia and Intensive Care Medicine, Azienda Sanitaria Universitaria Friuli Centrale - Udine (ASUFC), Udine, Italy.
Massimo SponzaEmergency Radiology Department - Azienda Sanitaria, Universitaria del Friuli Centrale (ASUFC), Udine, Italia.
Francesco CurcioIstituto di Patologia Clinica, Azienda Sanitaria Universitaria Friuli Centrale - Udine (ASUFC), Udine, Italy.
Carlo Tascini *Infectious Diseases Clinic, Azienda Sanitaria Universitaria del Friuli Centrale (ASUFC), Udine, Italy. c.tascini@gmail.com.
Rainer Böger *Institute of Clinical Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Ospedale Santa Maria della Misericordia di Udine · ITFondazione Toscana Gabriele Monasterio · ITUniversity Medical Center Hamburg-Eppendorf · DEUniversity of Udine · ITUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to assess the potential role of Asymmetric dimethylarginine (ADMA) in conditioning respiratory function and pulmonary vasoregulation during Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) infection. Within 72 h from admission, samples from 90 COVID-19 patients were assessed for ADMA, SDMA, L-arginine concentrations. In addition to classical statistics, patients were also clustered by a machine learning approach according to similar features. Multivariable analysis showed that C-reactive protein (OR 1.012), serum ADMA (OR 4.652), white blood cells (OR = 1.118) and SOFA (OR = 1.495) were significantly associated with negative outcomes. Machine learning-based clustering showed three distinct clusters: (1) patients with low severity not requiring invasive mechanical ventilation (IMV), (2) patients with moderate severity and respiratory failure whilst not requiring IMV, and (3) patients with highest severity requiring IMV. Serum ADMA concentration was significantly associated with disease severity and need for IMV although less pulmonary vasodilation was observed by CT scan. High serum levels of ADMA are indicative of high disease severity and requirement of mechanical ventilation. Serum ADMA at the time of hospital admission may therefore help to identify COVID-19 patients at high risk of deterioration and negative outcome.

Indexed as

COVID-19Respiratory InsufficiencyArginineBiomarkersHumansRNA, ViralSARS-CoV-2ArginineBiomarkersN,N-dimethylarginineRNA, Viral

Identifiers

PMID37330534
PMCPMC10276836
OpenAlexW4381052328

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.