Evidence map›Paper›PMID 39416238›Full record

ArticleJournal of arrhythmia2024

Increased interleukin-6 levels are associated with atrioventricular conduction delay in severe COVID-19 patients.

Riccardo Accioli, Pietro Enea Lazzerini, Viola Salvini, Alessandra Cartocci, Decoroso Verrengia, Tommaso Marzotti, Fabio Salvadori, Stefania Bisogno, Gabriele Cevenini, Michele Voglino and 9 more

Abstract read
In one paragraph

Article in Journal of arrhythmia, 2024. 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. Review
  2. Review
  3. Article
  4. Article
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.

Riccardo AccioliDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Pietro Enea LazzeriniDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.ORCID https://orcid.org/0000-0001-6721-1214
Viola SalviniDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Alessandra CartocciDepartment of Medical Biotechnologies University of Siena Siena Italy.
Decoroso VerrengiaDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Tommaso MarzottiDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Fabio SalvadoriDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Stefania BisognoDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Gabriele CeveniniDepartment of Medical Biotechnologies University of Siena Siena Italy.
Michele VoglinoDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Severino GalloDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Sabrina PaciniDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Martina PazzagliaDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Angelica TansiniDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Ambra OtrantoDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Franco Laghi-PasiniDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.
Maurizio AcampaStroke Unit University Hospital of Siena Siena Italy.ORCID https://orcid.org/0000-0003-4149-1785
Mohamed BoutjdirVA New York Harbor Healthcare System SUNY Downstate Health Sciences University New York New York USA.
Pier Leopoldo CapecchiDepartment of Medical Sciences, Surgery and Neurosciences University of Siena Siena Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severely ill patients with coronavirus disease 2019 (COVID-19) show an increased risk of new-onset atrioventricular blocks (AVBs), associated with high rates of short-term mortality. Recent data suggest that the uncontrolled inflammatory activation observed in these patients, specifically interleukin (IL)-6 elevation, may play an important pathogenic role by directly affecting cardiac electrophysiology. The aim of our study was to assess the acute impact of IL-6 changes on electrocardiographic indices of atrioventricular conduction in severe COVID-19. Methods: We investigated (1) the behavior of PR-interval and PR-segment in patients with severe COVID-19 during active phase and recovery, and (2) their association with circulating IL-6 levels over time. Results: During active disease, COVID-19 patients showed a significant increase of PR-interval and PR-segment. Such atrioventricular delay was transient as these parameters rapidly normalized during recovery. PR-indices significantly correlated with circulating IL-6 levels over time. All these changes and correlations persisted also in the absence of laboratory signs of cardiac strain/injury or concomitant treatment with PR-prolonging drugs, repurposed or not. Conclusions: Our study provides evidence that in patients with severe COVID-19 and high-grade systemic inflammation, IL-6 elevation is associated with a significant delay of atrioventricular conduction, independent of concomitant confounding factors. While transient, such alterations may enhance the risk of severe AVB and associated short-term mortality. Our data provide further support to current anti-inflammatory strategies for severe COVID-19, including IL-6 antagonists.

Indexed as

atrioventricular blockCOVID‐19interleukin‐6PR‐intervalPR‐segment

Identifiers

PMID39416238
PMCPMC11474750

What OpenQuestion 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 OpenQuestion graph.