Evidence map›Paper›PMID 34838959›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

Circulating ACE2 activity predicts mortality and disease severity in hospitalized COVID-19 patients.

Miklós Fagyas, Zsolt Fejes, Renáta Sütő, Zsuzsanna Nagy, Borbála Székely, Marianna Pócsi, Gergely Ivády, Edina Bíró, Gabriella Bekő, Attila Nagy and 6 more

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

74 citing papers in PubMed, 102 citations in OpenAlex.

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14 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

16 authors at 1 institution in 3 countries.

Miklós FagyasDepartment of Cardiology, Division of Clinical Physiology.
Zsolt FejesDepartment of Laboratory Medicine.
Renáta SütőDoctoral School of Kálmán Laki, University of Debrecen; Gyula Kenézy Campus, Intensive Care Unit.
Zsuzsanna NagyGyula Kenézy Campus, Department of Infectious Diseases.
Borbála SzékelyDepartment of Internal Medicine, Intensive Care Unit, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Marianna PócsiDepartment of Laboratory Medicine; Doctoral School of Kálmán Laki, University of Debrecen.
Gergely IvádyDepartment of Laboratory Medicine.
Edina BíróSouth-Pest Central Hospital, National Institute of Hematology and Infectiology, Budapest, Hungary.
Gabriella BekőSouth-Pest Central Hospital, National Institute of Hematology and Infectiology, Budapest, Hungary.
Attila NagyDepartment of Preventive Medicine, Faculty of Public Health, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
György KerekesDepartment of Internal Medicine, Intensive Care Unit, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Zoltán SzentkeresztyGyula Kenézy Campus, Intensive Care Unit.
Zoltán PappDepartment of Cardiology, Division of Clinical Physiology; HAS-UD Vascular Biology and Myocardial Pathophysiology Research Group, Hungarian Academy of Sciences, Budapest, Hungary.
Attila TóthDepartment of Cardiology, Division of Clinical Physiology; HAS-UD Vascular Biology and Myocardial Pathophysiology Research Group, Hungarian Academy of Sciences, Budapest, Hungary.
János KappelmayerDepartment of Laboratory Medicine.
Béla NagyDepartment of Laboratory Medicine. Electronic address: nagy.bela@med.unideb.hu.
University of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAngiotensin-converting enzyme 2 (ACE2) represents the primary receptor for SARS-CoV-2 to enter endothelial cells. Here we investigated circulating ACE2 activity to predict the severity and mortality of COVID-19.

methodsSerum ACE2 activity was measured in COVID-19 (110 critically ill and 66 severely ill subjects at hospital admission and 106 follow-up samples) and in 32 non-COVID-19 severe sepsis patients. Associations between ACE2, inflammation-dependent biomarkers, pre-existing comorbidities, and clinical outcomes were studied.

resultsInitial ACE2 activity was significantly higher in critically ill COVID-19 patients (54.4 [36.7-90.8] mU/L) than in severe COVID-19 (34.5 [25.2-48.7] mU/L; P<0.0001) and non-COVID-19 sepsis patients (40.9 [21.4-65.7] mU/L; P=0.0260) regardless of comorbidities. Circulating ACE2 activity correlated with inflammatory biomarkers and was further elevated during the hospital stay in critically ill patients. Based on ROC-curve analysis and logistic regression test, baseline ACE2 independently indicated the severity of COVID-19 with an AUC value of 0.701 (95% CI [0.621-0.781], P<0.0001). Furthermore, non-survivors showed higher serum ACE2 activity vs. survivors at hospital admission (P<0.0001). Finally, high ACE2 activity (≥45.4 mU/L) predicted a higher risk (65 vs. 37%) for 30-day mortality (Log-Rank P<0.0001).

conclusionsSerum ACE2 activity correlates with COVID-19 severity and predicts mortality.

Indexed as

Angiotensin-Converting Enzyme 2COVID-19Endothelial CellsHumansSeverity of Illness IndexACE2 protein, humanAngiotensin-Converting Enzyme 2ACE2biomarkerCOVID-19 diseaseinflammationoutcomeSARS-CoV-2sepsis

Identifiers

PMID34838959
PMCPMC8613979
OpenAlexW3216660903

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.