Evidence map›Paper›PMID 34086837›Full record

ArticlePloS one2021

Plasma ACE2 predicts outcome of COVID-19 in hospitalized patients.

Tue W Kragstrup, Helene Søgaard Singh, Ida Grundberg, Ane Langkilde-Lauesen Nielsen, Felice Rivellese, Arnav Mehta, Marcia B Goldberg, Michael R Filbin, Per Qvist, Bo Martin Bibby

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 5 pooled it
7.2field-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

85 citing papers in PubMed, 5 syntheses or guidelines pooled it, 122 citations in OpenAlex.

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  10. Genetic Analysis and Clinical Effect ofSultan Qaboos University medical journal · 2026
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25 more citing papers are in PubMed but not listed here.

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 6 institutions in 4 countries.

Tue W KragstrupDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-6439-397X
Helene Søgaard SinghDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Ida GrundbergOlink Proteomics, Uppsala, Sweden.
Ane Langkilde-Lauesen NielsenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Felice RivelleseCentre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Arnav MehtaDepartment of Medical Oncology, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Marcia B GoldbergDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Michael R FilbinDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Per QvistDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Bo Martin BibbyDepartment of Biostatistics, Aarhus University, Aarhus, Denmark.
Aarhus University · DKBroad Institute · USHarvard University · USMassachusetts General Hospital · USOlink Bioscience (Sweden) · SEQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds to angiotensin converting enzyme 2 (ACE2) enabling entrance of the virus into cells and causing the infection termed coronavirus disease of 2019 (COVID-19). Here, we investigate associations between plasma ACE2 and outcome of COVID-19. METHODS AND

resultsThis analysis used data from a large longitudinal study of 306 COVID-19 positive patients and 78 COVID-19 negative patients (MGH Emergency Department COVID-19 Cohort). Comprehensive clinical data were collected on this cohort, including 28-day outcomes. The samples were run on the Olink® Explore 1536 platform which includes measurement of the ACE2 protein. High admission plasma ACE2 in COVID-19 patients was associated with increased maximal illness severity within 28 days with OR = 1.8, 95%-CI: 1.4-2.3 (P < 0.0001). Plasma ACE2 was significantly higher in COVID-19 patients with hypertension compared with patients without hypertension (P = 0.0045). Circulating ACE2 was also significantly higher in COVID-19 patients with pre-existing heart conditions and kidney disease compared with patients without these pre-existing conditions (P = 0.0363 and P = 0.0303, respectively).

conclusionThis study suggests that measuring plasma ACE2 is potentially valuable in predicting COVID-19 outcomes. Further, ACE2 could be a link between COVID-19 illness severity and its established risk factors hypertension, pre-existing heart disease and pre-existing kidney disease.

Indexed as

COVID-19Heart DiseasesHospitalizationKidney DiseasesAdolescentAdultAngiotensin-Converting Enzyme 2ComorbidityFemaleHumansMaleMiddle AgedSARS-CoV-2Severity of Illness IndexACE2 protein, humanAngiotensin-Converting Enzyme 2

Identifiers

PMID34086837
PMCPMC8177449
OpenAlexW3164646585

What OpenQuestion holds

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LicenceCC BY
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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.