Evidence map›Paper›PMID 30653473›Full record

SynthesisCritical care medicine2019

Risk Factors for New-Onset Atrial Fibrillation in Patients With Sepsis: A Systematic Review and Meta-Analysis.

Nicholas A Bosch, David M Cohen, Allan J Walkey

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Critical care medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
2.3field-weighted citation impact, top 11% 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

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Guideline
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Clinical subtypes and prognosis of new-onset atrial fibrillation in critically ill patients.International journal of cardiology. Cardiovascular risk and prevention · 2026
    Article
  6. Article
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  8. Observational
  9. Review
  10. Article
  11. Article
  12. Review
  13. [Septic cardiomyopathy-diagnosis and estimation of disease severity].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025
    Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
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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

3 authors at 1 institution in 1 country.

Nicholas A BoschDepartment of Medicine, Boston University School of Medicine, The Pulmonary Center, Boston, MA.
David M CohenDepartment of Medicine, Boston University School of Medicine, The Pulmonary Center, Boston, MA.
Allan J WalkeyDepartment of Medicine, Boston University School of Medicine, The Pulmonary Center, Boston, MA.
Boston University · US

Funding

Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
Atrial Fibrillation in Sepsis: Patient Outcomes and Provider Practice PatternsK01HL116768 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2013 to 2017
$742k
NHLBI NIH HHS K01 HL116768NHLBI NIH HHS R01 HL136660
6 · The paper itself

Abstract

objectiveAtrial fibrillation frequently develops in patients with sepsis and is associated with increased morbidity and mortality. Unfortunately, risk factors for new-onset atrial fibrillation in sepsis have not been clearly elucidated. Clarification of the risk factors for atrial fibrillation during sepsis may improve our understanding of the mechanisms of arrhythmia development and help guide clinical practice. DATA SOURCES: Medline, Embase, Web of Science, and Cochrane CENTRAL. STUDY SELECTION: We conducted a systematic review and meta-analysis to identify risk factors for new-onset atrial fibrillation during sepsis. DATA EXTRACTION: We extracted the adjusted odds ratio for each risk factor associated with new-onset atrial fibrillation during sepsis. For risk factors present in more than one study, we calculated pooled odds ratios (meta-analysis). We classified risk factors according to type and quantified the factor effect sizes. We then compared sepsis-associated atrial fibrillation risk factors with risk factors for community-associated atrial fibrillation. DATA SYNTHESIS: Forty-four factors were examined as possible risk factors for new-onset atrial fibrillation in sepsis, 18 of which were included in meta-analyses. Risk factors for new-onset atrial fibrillation included demographic factors, comorbid conditions, and most strongly, sepsis-related factors. Sepsis-related factors with a greater than 50% change in odds of new-onset atrial fibrillation included corticosteroid use, right heart catheterization, fungal infection, vasopressor use, and a mean arterial pressure target of 80-85 mm Hg. Several cardiovascular conditions that are known risk factors for community-associated atrial fibrillation were not identified as risk factors for new-onset atrial fibrillation in sepsis.

conclusionsOur study shows that risk factors for new-onset atrial fibrillation during sepsis are mainly factors that are associated with the acute sepsis event and are not synonymous with risk factors for community-associated atrial fibrillation. Our results provide targets for future studies focused on atrial fibrillation prevention and have implications for several key areas in the management of patients with sepsis such as glucocorticoid administration, vasopressor selection, and blood pressure targets.

Indexed as

Atrial FibrillationHumansRisk FactorsSepsis

Identifiers

PMID30653473
PMCPMC9872909
OpenAlexW2902674552

What OpenQuestion holds

Textmetadata
LicenceTDM
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.