Evidence map›Paper›PMID 34784660›Full record

ArticleAcute and critical care2021

Atrial fibrillation of new onset during acute illness: prevalence of, and risk factors for, persistence after hospital discharge.

Abarna Ramanathan, John Paul Pearl, Manshi Li, Xiaofeng Wang, Divyajot Sadana, Abhijit Duggal

Open access · diamondAbstract read
In one paragraph

Article in Acute and critical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact, top 74% 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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Abarna RamanathanDepartment of Critical Care, Cleveland Clinic, Cleveland, OH, USA.
John Paul PearlDepartment of Critical Care, Cleveland Clinic, Cleveland, OH, USA.
Manshi LiQuantitative Health Sciences, Lerner Research institute, Cleveland, OH, USA.
Xiaofeng WangQuantitative Health Sciences, Lerner Research institute, Cleveland, OH, USA.
Divyajot SadanaDepartment of Critical Care, Cleveland Clinic, Cleveland, OH, USA.
Abhijit DuggalDepartment of Critical Care, Cleveland Clinic, Cleveland, OH, USA.
Cleveland Clinic · USCleveland Clinic Lerner College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) of new onset during acute illness (AFNOAI) has a variable incidence of 1%-44% in hospitalized patients. This study assesses the risk factors for persistence of AFNOAI in the 5 years after hospital discharge for critically ill patients.

methodsThis was a retrospective cohort study. All patients ≥18 years old admitted to the medical intensive care unit (MICU) of a tertiary care hospital from January 1, 2012, to October 31, 2015, were screened. Those designated with AF for the first time during the hospital admission were included. Risk factors for persistent AFNOAI were assessed using a Cox's proportional hazards model.

resultsTwo-hundred and fifty-one (1.8%) of 13,983 unique MICU admissions had AFNOAI. After exclusions, 108 patients remained. Forty-one patients (38%) had persistence of AFNOAI. Age (hazard ratio [HR], 1.05; 95% confidence interval [CI], 1.01-1.08), hyperlipidemia (HR, 2.27; 95% CI, 1.02-5.05) and immunosuppression (HR, 2.29; 95% CI, 1.02-5.16) were associated with AFNOAI persistence. Diastolic dysfunction (HR, 1.46; 95% CI, 0.71-3.00) and mitral regurgitation (HR, 2.00; 95% CI, 0.91-4.37) also showed a trend towards association with AFNOAI persistence.

conclusionsOur study showed that AFNOAI has a high rate of persistence after discharge and that certain comorbid and cardiac factors may increase the risk of persistence. Anticoagulation should be considered, based on a patient's individual AFNOAI persistence risk.

Indexed as

atrial fibrillationparoxysmal atrial fibrillationpersistent atrial fibrillation

Identifiers

PMID34784660
PMCPMC8907468
OpenAlexW3212441129

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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.