Evidence map›Paper›PMID 33972591›Full record

ArticleScientific reports2021

Elevated serum SDMA and ADMA at hospital admission predict in-hospital mortality of COVID-19 patients.

Juliane Hannemann, Paul Balfanz, Edzard Schwedhelm, Bojan Hartmann, Johanna Ule, Dirk Müller-Wieland, Edgar Dahl, Michael Dreher, Nikolaus Marx, Rainer Böger

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 33 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

10 authors at 4 institutions in 1 country.

Juliane Hannemann *Institute of Clinical Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. j.hannemann@uke.de.
Paul Balfanz *Department of Cardiology, Angiology and Intensive Care Medicine, Medical Clinic I, University Hospital Aachen, Aachen, Germany.
Edzard SchwedhelmInstitute of Clinical Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
Bojan HartmannDepartment of Cardiology, Angiology and Intensive Care Medicine, Medical Clinic I, University Hospital Aachen, Aachen, Germany.
Johanna UleInstitute of Clinical Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
Dirk Müller-WielandDepartment of Cardiology, Angiology and Intensive Care Medicine, Medical Clinic I, University Hospital Aachen, Aachen, Germany.
Edgar DahlInstitute of Pathology, University Hospital Aachen, Aachen, Germany.
Michael DreherDepartment of Pneumology and Intensive Care Medicine, Medical Clinic V, University Hospital Aachen, Aachen, Germany.
Nikolaus MarxDepartment of Cardiology, Angiology and Intensive Care Medicine, Medical Clinic I, University Hospital Aachen, Aachen, Germany.
Rainer BögerInstitute of Clinical Pharmacology and Toxicology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
Universitätsklinikum Aachen · DEUniversität Hamburg · DEGerman Centre for Cardiovascular Research · DEUniversity Medical Center Hamburg-Eppendorf · DE

Funding

Bundesministerium für Bildung und Forschung 01DN17046Deutsche Forschungsgemeinschaft SFB TRR219 (M-03; M-05)
6 · The paper itself

Abstract

COVID-19 is a disease with a variable clinical course ranging from mild symptoms to critical illness, organ failure, and death. Prospective biomarkers may help to predict the severity of an individual's clinical course and mortality risk. We analyzed asymmetric (ADMA) and symmetric dimethylarginine (SDMA) in blood samples from 31 patients hospitalized for COVID-19. We calculated associations of ADMA and SDMA with mortality and organ failure, and we developed a predictive algorithm based upon these biomarkers to predict mortality risk. Nine patients (29%) experienced in-hospital death. SDMA and ADMA serum concentrations were significantly higher at admission in COVID-19 patients who died than in survivors. Cut-offs of 0.90 µmol/L for SDMA (AUC, 0.904, p = 0.0005) and 0.66 µmol/L for ADMA (AUC, 0.874, p = 0.0013) were found in ROC analyses to best discriminate both subgroups of patients. Hazard ratio for in-hospital mortality was 12.2 (95% CI: 2.2-31.2) for SDMA and 6.3 (1.1-14.7) for ADMA above cut-off. Sequential analysis of both biomarkers allowed discriminating a high-risk group (87.5% mortality) from an intermediate-risk group (25% mortality) and a low-risk group (0% mortality). Elevated circulating concentrations of SDMA and ADMA may help to better identify COVID-19 patients with a high risk of in-hospital mortality.

Indexed as

Hospital MortalityAgedAged, 80 and overArginineBiomarkersCohort StudiesCOVID-19FemaleHospitalizationHumansKaplan-Meier EstimateMaleMiddle AgedRisk FactorsSARS-CoV-2ArginineBiomarkersN,N-dimethylargininesymmetric dimethylarginine

Identifiers

PMID33972591
PMCPMC8110746
OpenAlexW3161487506

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.