Evidence map›Paper›PMID 38034887›Full record

ArticleHeart rhythm O22023

AF and in-hospital mortality in COVID-19 patients.

Irum D Kotadia, Maria Dias, Caroline Roney, Richard A Parker, Robert O'Dowling, Neil Bodagh, José-Alonso Lemus-Solis, Daniel O'Hare, Iain Sim, David Newby and 6 more

Open access · goldAbstract read
In one paragraph

Article in Heart rhythm O2, 2023. 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
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  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

16 authors at 3 institutions in 1 country.

Irum D KotadiaBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Maria DiasBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Caroline RoneyBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Richard A ParkerCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Robert O'DowlingBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Neil BodaghBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
José-Alonso Lemus-SolisBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Daniel O'HareBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Iain SimBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
David NewbyCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Steven NiedererBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Jonathan BirnsStroke Medicine, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Peter SommervilleStroke Medicine, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Ajay BhallaStroke Medicine, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.
Mark O'NeillBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Steven E WilliamsBiomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
King's College London · GBGuy's and St Thomas' NHS Foundation Trust · GBUniversity of Edinburgh · GB

Funding

British Heart Foundation FS/20/26/34952British Heart Foundation FS/CRTF/21/24166Wellcome Trust
6 · The paper itself

Abstract

Background: There are conflicting data on whether new-onset atrial fibrillation (AF) is independently associated with poor outcomes in COVID-19 patients. This study represents the largest dataset curated by manual chart review comparing clinical outcomes between patients with sinus rhythm, pre-existing AF, and new-onset AF. Objective: The primary aim of this study was to assess patient outcomes in COVID-19 patients with sinus rhythm, pre-existing AF, and new-onset AF. The secondary aim was to evaluate predictors of new-onset AF in patients with COVID-19 infection. Methods: This was a single-center retrospective study of patients with a confirmed diagnosis of COVID-19 admitted between March and September 2020. Patient demographic data, medical history, and clinical outcome data were manually collected. Adjusted comparisons were performed following propensity score matching between those with pre-existing or new-onset AF and those without AF. Results: The study population comprised of 1241 patients. A total of 94 (7.6%) patients had pre-existing AF and 42 (3.4%) patients developed new-onset AF. New-onset AF was associated with increased in-hospital mortality before (odds ratio [OR] 3.58, 95% confidence interval [CI] 1.78-7.06, Conclusion: New-onset AF, but not pre-existing AF, was independently associated with elevated mortality in patients hospitalised with COVID-19. This observation highlights the need for careful monitoring of COVID-19 patients with new-onset AF. Further research is needed to explain the mechanistic relationship between new-onset AF and clinical outcomes in COVID-19 patients.

Indexed as

Atrial fibrillationCOVID-19COVID-19 and arrhythmiaCOVID-19 and cardiovascular complicationsSARS-CoV-2

Identifiers

PMID38034887
PMCPMC10685157
OpenAlexW4387675991

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.