Evidence map›Paper›PMID 37806306›Full record

ArticleCardiology2024

Predictors of New Onset Atrial Fibrillation Burden in the Critically Ill.

Daniel Lancini, Jennifer Sun, Georgia Mylonas, Robert Boots, John Atherton, Sandhir Prasad, Paul Martin

Open access · hybridAbstract read
In one paragraph

Article in Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Impact of new-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2025
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Daniel LanciniCardiology Department, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Jennifer SunCardiology Department, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Georgia MylonasCardiology Department, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Robert BootsBurns, Trauma and Critical Care Research Centre, University of Queensland, Brisbane, Queensland, Australia.
John AthertonCardiology Department, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Sandhir PrasadCardiology Department, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Paul MartinCardiology Department, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia.
Royal Brisbane and Women's Hospital · AUUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAtrial fibrillation (AF) is common in the intensive care unit (ICU) setting and has been associated with adverse outcomes. In this context, there is increasing research interest in AF burden as a predictor of subsequent adverse events. However, the pathophysiology and drivers of AF burden in the ICU are poorly understood. This study sought to evaluate the predictors of AF burden in critical illness-associated new-onset AF (CI-NOAF).

methodsOut of 7,030 admissions in a tertiary general ICU between December 2015 and September 2018, 309 patients developed CI-NOAF. AF burden was defined as the percentage of monitored time in AF, as extracted from hourly interpretations of continuous ECG monitoring. Low and high AF burden groups were defined relative to the median AF burden. Clinical, laboratory, and echocardiographic parameters were extracted, and multivariable modelling with binary logistic regression was performed to evaluate for independent associations with AF burden.

resultsThe median AF burden was 7.0%. Factors associated with increased AF burden were age, dyslipidaemia, chronic kidney disease, increased creatinine, CHA2DS2-VASc score, ICU admission diagnosis category, amiodarone administration, and left atrial area (LAA). Factors associated with lower AF burden were previous alcohol excess, burden of ventilation, the use of inotropes/vasopressors, and beta blockers. On multivariate analysis, increased LAA, chronic kidney disease, and amiodarone use were independently associated with increased AF burden, whereas beta blocker use was associated with lower AF burden.

conclusionLeft atrial size and chronic cardiovascular comorbidities appear to be the primary drivers of CI-NOAF burden, whereas factors related to acute illness and critical care intervention paradoxically did not appear to be a substantial driver of arrhythmia burden. Further research is needed regarding drivers of AF and the efficacy of rhythm control intervention in this unique setting.

Indexed as

AmiodaroneAtrial FibrillationRenal Insufficiency, ChronicCritical IllnessHumansRisk FactorsAmiodaroneAtrial fibrillation burdenCritical illnessLeft atrial size

Identifiers

PMID37806306
PMCPMC10994584
OpenAlexW4387439215

What OpenQuestion holds

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LicenceCC BY-NC
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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.