Evidence map›Paper›PMID 35382929›Full record

ArticleThe American journal of cardiology2022

Incidence, Mortality, and Imaging Outcomes of Atrial Arrhythmias in COVID-19.

Qasim Jehangir, Yi Lee, Katie Latack, Laila Poisson, Dee Dee Wang, Shiyi Song, Dinesh R Apala, Kiritkumar Patel, Abdul R Halabi, Geetha Krishnamoorthy and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

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  11. Cardiovascular complications of COVID-19 severe acute respiratory syndrome.American journal of cardiovascular disease · 2022
    Review
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

11 authors at 2 institutions in 1 country.

Qasim JehangirDepartment of Medicine, St. Joseph Mercy Oakland Hospital, Pontiac, Michigan. Electronic address: qasimjehangir@gmail.com.
Yi LeeDepartment of Medicine, St. Joseph Mercy Oakland Hospital, Pontiac, Michigan.
Katie LatackDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, Michigan.
Laila PoissonDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, Michigan.
Dee Dee WangDivision of Cardiology, Center for Structural Heart Disease, Henry Ford Hospital, Detroit, Michigan.
Shiyi SongDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, Michigan.
Dinesh R ApalaDivision of Cardiology, St. Joseph Mercy Oakland Hospital, Pontiac, Michigan.
Kiritkumar PatelDivision of Cardiology, St. Joseph Mercy Oakland Hospital, Pontiac, Michigan.
Abdul R HalabiDivision of Cardiology, St. Joseph Mercy Oakland Hospital, Pontiac, Michigan.
Geetha KrishnamoorthyDepartment of Medicine, St. Joseph Mercy Oakland Hospital, Pontiac, Michigan.
Anupam A SuleDepartment of Medicine, St. Joseph Mercy Oakland Hospital, Pontiac, Michigan; Department of Informatics, St. Joseph Mercy Oakland Hospital, Pontiac, Michigan.
Trinity Health Oakland Hospital · USHenry Ford Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial arrhythmias (AAs) are common in hospitalized patients with COVID-19; however, it remains uncertain if AAs are a poor prognostic factor in SARS-CoV-2 infection. In this retrospective cohort study from 2014 to 2021, we report in-hospital mortality in patients with new-onset AA and history of AA. The incidence of new-onset congestive heart failure (CHF), hospital length of stay and readmission rate, intensive care unit admission, arterial and venous thromboembolism, and imaging outcomes were also analyzed. We further compared the clinical outcomes with a propensity-matched influenza cohort. Generalized linear regression was performed to identify the association of AA with mortality and other outcomes, relative to those without an AA diagnosis. Predictors of new-onset AA were also modeled. A total of 6,927 patients with COVID-19 were included (626 with new-onset AA, 779 with history of AA). We found that history of AA (adjusted relative risk [aRR] 1.38, confidence interval [CI], 1.11 to 1.71, p = 0.003) and new-onset AA (aRR 2.02, 95% CI 1.68 to 2.43, p <0.001) were independent predictors of in-hospital mortality. The incidence of new-onset CHF was 6.3% in history of AA (odds ratio 1.91, 95% CI 1.30 to 2.79, p <0.001) and 11.3% in new-onset AA (odds ratio 4.01, 95% CI 3.00 to 5.35, p <0.001). New-onset AA was shown to be associated with worse clinical outcomes within the propensity-matched COVID-19 and influenza cohorts. The risk of new-onset AA was higher in patients with COVID-19 than influenza (aRR 2.02, 95% CI 1.76 to 2.32, p <0.0001), but mortality associated with new-onset AA was higher in influenza (aRR 12.58, 95% CI 4.27 to 37.06, p <0.0001) than COVID-19 (aRR 1.86, 95% CI 1.55 to 2.22, p <0.0001). In a subset of the patients with COVID-19 for which echocardiographic data were captured, abnormalities were common, including valvular abnormalities (40.9%), right ventricular dilation (29.6%), and elevated pulmonary artery systolic pressure (16.5%); although there was no evidence of a difference in incidence among the 3 groups. In conclusion, new-onset AAs are associated with poor clinical outcomes in patients with COVID-19.

Indexed as

COVID-19Heart FailureInfluenza, HumanArrhythmias, CardiacHospital MortalityHumansIncidenceRetrospective StudiesRisk FactorsSARS-CoV-2

Identifiers

PMID35382929
PMCPMC8976231
OpenAlexW4224081133

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.