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Risk factors for new-onset atrial fibrillation during critical illness: A Delphi study.
Bedford, Jonathan P; Garside, Tessa; Darbyshire, Julie L; Betts, Timothy R; Young, J Duncan; Watkinson, Peter J.
Affiliation
  • Bedford JP; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Garside T; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Darbyshire JL; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Betts TR; Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
  • Young JD; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Watkinson PJ; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
J Intensive Care Soc ; 23(4): 414-424, 2022 Nov.
Article in En | MEDLINE | ID: mdl-36751347
ABSTRACT

Background:

New-onset atrial fibrillation (NOAF) is common during critical illness and is associated with poor outcomes. Many risk factors for NOAF during critical illness have been identified, overlapping with risk factors for atrial fibrillation in patients in community settings. To develop interventions to prevent NOAF during critical illness, modifiable risk factors must be identified. These have not been studied in detail and it is not clear which variables warrant further study.

Methods:

We undertook an international three-round Delphi process using an expert panel to identify important predictors of NOAF risk during critical illness.

Results:

Of 22 experts invited, 12 agreed to participate. Participants were located in Europe, North America and South America and shared 110 publications on the subject of atrial fibrillation. All 12 completed the three Delphi rounds. Potentially modifiable risk factors identified include 15 intervention-related variables.

Conclusions:

We present the results of the first Delphi process to identify important predictors of NOAF risk during critical illness. These results support further research into modifiable risk factors including optimal plasma electrolyte concentrations, rates of change of these electrolytes, fluid balance, choice of vasoactive medications and the use of preventative medications in high-risk patients. We also hope our findings will aid the development of predictive models for NOAF.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Intensive Care Soc Year: 2022 Document type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: J Intensive Care Soc Year: 2022 Document type: Article Affiliation country: United kingdom
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